Buy the system. Run it in Claude.
Each consulting agent is a Claude-orchestrated engagement that guides you through building one specific GTM system end-to-end — diagnostic, build, verify, ongoing support. Wired to your stack. Start with a bundle, or pick the single lever you need.
Claude Pro+ required for running these agents.
The Companions · Membership
Artemis Aegis
Keep every agent you own perpetually current — plus the room and the data behind you.
- Price
- $590/yr
- Billing
- Annual
- Access
- Every agent you own
What's included
- Always-latest versions of every agent you own — re-tuned as tools, models, and plays change
- Quarterly member Flash Audit re-run with saved trendlines — track your GTM Health Score over time
- 30% member price on every new agent ($349 → $244) and member bundle pricing
- Monthly recorded Mission Briefing — what changed in GTM tooling and which agents updated
- Private Companions community + Tom office-hours threads
- Consulting credit — your trailing 12 months of fees credited toward one consulting agreement
GTM Audit Agent
Artemis Compass
Find every revenue leak in your GTM — free, guided, in Claude
A free, guided GTM diagnostic run in Claude. Benchmarks your funnel, quantifies every revenue leak in dollars, and tells you exactly which systems to fix first.
- Price
- Free
- Billing
- One-time
- Updates
- Via membership
- Runs in
- Claude Chat + Code
The deep version of the free flash-audit, run conversationally by a senior GTM advisor in Claude. It walks you through your company profile, revenue metrics, and team structure, benchmarks every number against your industry and growth motion, then returns a prioritized leak report: where you are leaking pipeline, how much each leak costs per year, and exactly which Artemis agent and partner platform closes it.
- 1
Company Profile
Industry, size, and growth motion (PLG / SLG / Hybrid) — the motion decides which metrics matter.
- 2
Revenue & Team Metrics
Deal size, sales cycle, win rate, lead-to-opp, pipeline coverage, and motion-specific numbers. Use an industry benchmark for anything you are not sure of.
- 3
Benchmark & Diagnose
Every number is compared to the benchmark for your industry and motion. Leaks are the metrics that fall below good — each quantified as dollars per year.
- 4
Prioritize
Leaks ranked by annual dollar impact, with cost-of-delay and an overall GTM health score.
- 5
Roadmap
For each leak: the fix, the Artemis agent that builds it, and the partner platform that powers it — starting with the leak bleeding the most.
- Is the GTM Audit Agent really free?
- Yes. The GTM Audit Agent is free to run in Claude. It is the guided, in-depth version of the free flash-audit diagnostic on the site — same framework, far more depth, run conversationally by a senior GTM advisor. It produces a prioritized leak report and a build roadmap. The build agents that fix each leak are separate paid products.
- How is it different from the free flash-audit tool on the website?
- The website flash-audit is a 2-minute, 5-question form that returns a generated report. The GTM Audit Agent runs the same framework conversationally inside Claude — it asks follow-ups, branches on your growth motion, benchmarks every number against your industry, quantifies each leak with a defensible calculation, and lets you go as deep as you want. The output is materially richer than the form.
- What does the audit actually tell me?
- An overall GTM health score, your signal-stack tier, and a ranked list of revenue leaks — each with the current metric, the benchmark, the gap, the estimated dollar impact per year, and the cost of leaving it unfixed. For every leak it names the specific Artemis agent and partner platform that closes it, so you know exactly where to spend your build budget.
- Will it just try to sell me things?
- The diagnostic stands alone — you walk away with a real, prioritized roadmap whether or not you buy anything. When a confirmed leak maps to a build agent, the audit names it honestly as the fix for what it found, with the price up front. Partner-tool recommendations carry an affiliate disclosure. No leak, no recommendation.
- Does this agent work with OpenAI Codex, or only Claude?
- Both. Every Artemis agent ships a verified OpenAI Codex edition in the same download, alongside the Claude edition (Claude Chat + Claude Code). Buy once and run the engagement on whichever assistant your team already uses — the Codex edition is a purpose-built port for the Codex CLI, not a copy-paste, with scheduling and engagement state handled natively per platform.
Lead Response ROI Agent
Artemis Stopwatch
Quantify what slow lead response costs you — free, guided, in Claude
A free, guided lead-response diagnostic run in Claude. Benchmarks your response time, applies the HBR decay curve to your real lead volume and deal size, and quantifies the pipeline you're leaking per year.
- Price
- Free
- Billing
- One-time
- Updates
- Via membership
- Runs in
- Claude Chat + Code
The conversational version of the Lead Response ROI Calculator, run by a senior GTM advisor in Claude. It walks you through your monthly leads, deal size, current response time, and conversion rate, benchmarks each against our GTM audits and industry benchmarks (typical median response around 42 hours — directional, not a controlled study), applies the HBR decay curve, and returns the exact dollars you're leaking to slow follow-up — plus the Speed-to-Lead build that closes it.
- 1
Intake
Monthly inbound leads, average deal size, and your current lead-to-opportunity rate. Use an industry benchmark for anything you're unsure of — labeled as an assumption, not your data.
- 2
Measure Response Time
Your real time from form submission to first human contact, mapped to one of six tiers. If you don't know it, we estimate it from how your routing works today.
- 3
Benchmark
Your response time is compared to the typical median of around 42 hours from our GTM audits (directional, not a controlled study) and the HBR decay curve — effectiveness drops from 100% under 5 minutes to 3% after 24 hours.
- 4
Quantify the Leak
The gap between your current tier and the sub-5-minute ceiling, converted to dollars: deals lost per month, revenue lost per month, and annual revenue at risk — each with the calculation shown.
- 5
Cost of Delay
What every week of slow response costs (annual ÷ 52), so the urgency is concrete rather than abstract.
- 6
Map the Fix
If the leak is real, name the build that closes it: the paid Speed-to-Lead Agent (Warmly + Amplemarket + your CRM, wired to sub-5-min), with the partner tools and an honest price up front.
- Is the Lead Response ROI Agent really free?
- Yes. It runs free in Claude. It is the guided, conversational version of the Lead Response ROI Calculator on the site — same HBR decay curve and our GTM-audit benchmarks, run by a senior GTM advisor who asks follow-ups, benchmarks every number, and quantifies the leak with a defensible calculation. The Speed-to-Lead Agent that actually wires your stack to sub-5-minute response is a separate paid product ($349).
- How is it different from the calculator on the website?
- The calculator is a four-input form that returns a number. The agent runs the same model conversationally: it asks for your real response time, offers benchmarks for anything you don't track, corrects the common mistake of confusing your current conversion rate with your ceiling rate, shows the dollar math one line at a time, and frames cost-of-delay weekly. The output is a defensible leak figure you can take to your team, not just a screenshot.
- What does it actually tell me?
- Your current vs benchmark conversion at your response tier, deals and revenue lost per month, total annual revenue at risk, and what every week of delay costs. It shows the calculation for each figure so a CFO would accept it. When the leak is real, it names the exact fix — the Speed-to-Lead Agent and the partner tools (Warmly + Amplemarket) — with the price up front and an affiliate disclosure on the tools.
- What if my response time is already under 5 minutes?
- Then the agent confirms you're at the conversion ceiling and recommends nothing to buy — it tells you to focus on holding that pace as lead volume scales, and points you to other diagnostics (visitor deanonymization, lead scoring) if a different part of your funnel is the real leak. No leak, no recommendation.
Recoverable Revenue ROI Agent
Artemis Ledger
Quantify the revenue your funnel is leaking — free, guided, in Claude
A free, guided ROI diagnostic run in Claude. Benchmarks your funnel math, quantifies recoverable revenue in dollars across conversion, win rate, and cycle, and names the fix.
- Price
- Free
- Billing
- One-time
- Updates
- Via membership
- Runs in
- Claude Chat + Code
The conversational version of the Sales ROI Calculator, run by a senior GTM advisor in Claude. It walks you through your ARR, deal size, lead volume, lead-to-opp rate, win rate, sales cycle, and AE count, benchmarks each number against our GTM audits and industry benchmarks, then returns one defensible recoverable-revenue figure — with the double-counting stripped out — broken down by lever, framed as cost-of-delay, and mapped to the exact Artemis agent and partner platform that closes your biggest gap.
- 1
Funnel Intake
ARR, average deal size, monthly leads, lead-to-opp rate, win rate, sales cycle, and AE count — one question at a time. For any number you don't have, I use the industry benchmark and label it as an assumption, never as your data.
- 2
Benchmark Each Number
Every metric is compared to the median AND top-quartile for your size and motion from our GTM audits and industry benchmarks, so you see both the realistic gap and the stretch gap — not just the aspirational one the form defaults to.
- 3
Quantify One Honest Number
I compute a single optimized-funnel end state and subtract your current state, so the conversion and win-rate gains don't double-count the same opportunities. Cycle reduction is reported as pulled-forward velocity, not stacked on top as phantom new ARR.
- 4
Cost of Delay
The recoverable figure broken into annual / monthly / weekly / daily, so the cost of leaving it unfixed is concrete — the urgency math the calculator only shows above $1M.
- 5
Map the Fix
Your single biggest lever, named with the Artemis agent that rebuilds it and the partner platform that powers it. Lead-to-opp gaps route to Qualification Automation; I'll show the calculation behind every dollar so you can defend it to finance.
- How is this different from the Sales ROI Calculator on the site?
- The calculator is a fast, seven-field form that sums three benchmark gaps and shows a headline number. This agent runs the same model conversationally, but it fixes the form's biggest flaw: instead of summing three gaps that each assume the full lead pool — which double-counts the opportunities flowing through both conversion and win-rate — it computes one optimized-funnel end state and subtracts your current state, then attributes the delta to each lever. It also benchmarks against median, not just top-quartile, so the figure is one you can defend to your CFO.
- Is the Recoverable Revenue ROI Agent really free?
- Yes. It runs free in Claude — it's the guided, in-depth version of the free Sales ROI Calculator. It produces a benchmarked recoverable-revenue figure, the per-lever breakdown, cost-of-delay framing, and a pointer to the one agent that fixes your biggest gap. The build agent that actually rebuilds the leaking system is a separate paid product.
- What inputs do I need to run it?
- Seven numbers: ARR, average deal size, monthly leads, lead-to-opportunity rate, win rate, average sales cycle in days, and AE headcount. If you don't know a metric, I substitute the industry benchmark for your size and motion and label it clearly as an assumption — so the diagnostic still runs and you swap in your real number whenever you have it. The more real numbers you bring, the tighter the dollar figure.
- Where does the recoverable number come from, and which fix does it recommend?
- The benchmarks come from the Artemis GTM 2026 Benchmark Study — our hands-on B2B SaaS audits ($1M–$50M ARR), directional and not a controlled study. For most companies the largest single lever is lead-to-opportunity conversion, which maps to the paid Qualification Automation System Agent (Artemis Gateway, $349): it builds the lead scoring, MQL-to-SQL handoff, and BDR routing that lift conversion. Win-rate and cycle gaps route to their own agents. The recommendation only fires when the benchmark math confirms a real gap — no gap, no pitch.
Visitor Deanonymization ROI Agent
Artemis Mirage
Quantify the pipeline hiding in your anonymous traffic — free, in Claude
A free Claude-run version of the Website Visitor ROI Calculator. Benchmarks your traffic, quantifies hidden pipeline in dollars, and names the exact fix.
- Price
- Free
- Billing
- One-time
- Updates
- Via membership
- Runs in
- Claude Chat + Code
The conversational version of the Website Visitor ROI Calculator, run by a senior GTM advisor in Claude. It walks you through your monthly traffic, ICP-fit, deal size, and current identification setup, benchmarks each number against our GTM audits and industry benchmarks, then quantifies — with the math shown — how much pipeline your anonymous visitors are worth and how much you are leaving on the table. It ends by mapping the fix to the paid Visitor Deanonymization agent and the right partner tool.
- 1
Traffic Profile
Monthly visitors, traffic-source mix (US vs international, paid vs organic), and how much is plausibly ICP-fit. The mix decides which identification rate benchmark applies and whether Warmly, RB2B, or a hybrid is the right tool.
- 2
Deal & Funnel Inputs
Average deal size (ACV), current form-fill rate, and — if you have it — your meeting-to-opportunity and win rate. For anything you don't know, the advisor offers the Artemis benchmark and labels it as an assumption.
- 3
Benchmark & Quantify
Runs the de-anon funnel against our GTM audits and industry benchmarks: identification rate (median 22% Warmly company-level, 38% RB2B US contact-level), high-intent share, contacts per account, and an honest meeting-to-pipeline conversion — so the dollar figure is pipeline, not a meeting count dressed up as revenue.
- 4
Reality-Check the Number
Shows the one-line calculation, separates upper-bound from expected pipeline, and stress-tests it against your form-fill rate and ICP-match so the figure survives scrutiny from your CFO, not just your curiosity.
- 5
Map the Fix
Names the leak in dollars per year with cost-of-delay, then routes to the paid Visitor Deanonymization agent (Artemis Beacon, $349) that installs the tool, tunes ICP filters, and wires the CRM + Slack workflow — plus the partner platform that powers it, with affiliate disclosure.
- Is the Visitor Deanonymization ROI Agent really free?
- Yes. It is free to run in Claude — the guided, conversational version of the Website Visitor ROI Calculator on the site. It benchmarks your traffic against our GTM audits and industry benchmarks and hands you a defensible dollar figure plus a fix roadmap. The paid Visitor Deanonymization agent (Artemis Beacon, $349) that actually installs the tool and wires the workflow is a separate product.
- How is it different from the Website Visitor ROI Calculator on the site?
- The web calculator is a two-input form (monthly visitors + deal size) that applies fixed funnel benchmarks and shows one annual-pipeline number. The agent runs the same funnel conversationally but goes deeper: it branches on your traffic-source mix to pick the right identification rate, asks for your real form-fill and meeting-to-opp rates instead of assuming them, separates upper-bound from expected pipeline so the figure is defensible, and ends by naming the specific fix. The output is materially more honest and more actionable than the single point estimate the form returns.
- How much pipeline am I actually missing from anonymous visitors?
- It depends on three things the agent measures: how much of your traffic is ICP-fit, your identification rate (median 22% company-level for Warmly, 38% US contact-level for RB2B, drawn from our audits and the tools' published benchmarks), and your downstream meeting-to-opportunity conversion. The agent quantifies recoverable pipeline off those numbers — not off the round '98% of visitors are anonymous' stat, which describes traffic, not pipeline. You leave with a dollar figure you can defend, with the calculation shown line by line.
- What does the agent recommend I do about the leak?
- Once it confirms a real dollar leak, it maps the fix to the paid Visitor Deanonymization agent (Artemis Beacon, $349), which picks Warmly vs RB2B vs hybrid for your traffic profile, installs the tracking script, tunes ICP filters, and wires the CRM enrichment + Slack alert workflow. It also names the partner platform that powers it — Warmly or RB2B — with an affiliate disclosure. No confirmed leak, no recommendation: if your traffic or ICP-fit is too thin to justify a tool, it tells you to grow traffic first.
Pipeline Velocity Agent
Artemis Throughput
Find the one lever that moves your pipeline most — free, run in Claude
A free, guided pipeline-velocity diagnostic in Claude. Computes your $/day throughput, benchmarks it, and quantifies which lever — leads, deal size, win rate, or cycle — leaks the most revenue.
- Price
- Free
- Billing
- One-time
- Updates
- Via membership
- Runs in
- Claude Chat + Code
The conversational version of the Pipeline Velocity Calculator, run by a senior GTM advisor in Claude. It walks you through opportunities, deal size, win rate, and cycle length, benchmarks each against your industry and growth motion using our GTM audits and industry benchmarks, computes your velocity in dollars per day, then simulates each lever to show which one is leaking the most revenue per year — and names the Artemis agent and partner platform that closes it.
- 1
Pipeline Profile
Industry and growth motion (PLG / SLG / Hybrid) — the motion decides whether we measure velocity off opportunities or trial-to-paid signups, and which benchmark row applies.
- 2
The Four Inputs
Monthly opportunities (not raw leads — we convert with your lead-to-opp rate), average deal size, win rate, and sales cycle in days. Use an industry benchmark for anything you do not track.
- 3
Compute Velocity
Your velocity in dollars per day: (Opportunities x Deal Value x Win Rate) / Sales Cycle. We annualize it and show the math in one line so you can trust the number.
- 4
Benchmark & Grade
Compared to the benchmark for your industry and motion from our GTM audits and industry benchmarks. We report the dollar gap to benchmark, not just a letter grade — that gap is the velocity leak.
- 5
Pull the Right Lever
We simulate a realistic improvement in each lever independently and rank them by annual dollar impact, so you stop guessing and pull the one that moves revenue most for your specific numbers.
- 6
Roadmap
The winning lever maps to the fix: win rate and deal size route to the Conversion Content System; lead volume to outbound and visitor identification; cycle length to speed-to-lead. Each with the Artemis agent and partner platform that builds it.
- Is the Pipeline Velocity Agent really free?
- Yes. It runs free in Claude. It is the guided, conversational version of the Pipeline Velocity Calculator on the site — same formula and benchmarks, but it asks follow-ups, converts your raw leads to true opportunities, branches on your growth motion, and shows the dollar math behind every lever. The build agents that fix the winning lever are separate paid products.
- How is it different from the Pipeline Velocity Calculator on the website?
- The calculator is a fast self-serve tool that assumes your leads equal opportunities and a flat 25% lever improvement. The agent fixes both: it asks your lead-to-opportunity rate so velocity is not overstated, picks realistic per-lever improvements from benchmark data instead of a uniform 25%, and frames every lever in annual dollars. The output is a prioritized, dollar-quantified velocity leak you can take to a board.
- Which lever should I actually pull?
- It depends entirely on your numbers. If your win rate is well below your industry benchmark, that lever leaks the most and routes to the Conversion Content System. If your cycle is far longer than benchmark, speed-to-lead wins. If lead volume is the constraint, outbound and visitor identification win. The agent computes the per-year dollar impact of each lever and ranks them, so you pull the one that moves revenue most — not the one that feels urgent.
- What do I need to run it?
- Four numbers from your CRM: monthly opportunities (or leads plus your lead-to-opp rate), average deal size, win rate, and average sales cycle in days. If you do not track one, the agent offers the benchmark for your industry and growth motion and labels it clearly as an assumption, then quantifies the leak only off numbers you confirmed.
Quota Gap Analyzer Agent
Artemis Quota Line
Work backward from your number to the exact pipeline, opps, and leads you need — free, in Claude
A free, guided quota-gap diagnostic run in Claude. Sizes your true pipeline gap, benchmarks coverage and AE load against our GTM audits, and names the build that closes it.
- Price
- Free
- Billing
- One-time
- Updates
- Via membership
- Runs in
- Claude Chat + Code
The conversational version of the Quota Gap Analyzer. A senior GTM advisor walks you through your target, team, deal size, win rate, sales cycle, and current pipeline, computes the real gap (subtracting pipeline already in flight, not the gross number the form double-counts), benchmarks your coverage ratio and AE capacity against our GTM audits and industry benchmarks, then diagnoses whether you are short on volume, conversion, or capacity — and maps the fix to the exact Artemis agent and partner tools that close it.
- 1
Targets & Team
Annual (or quarterly) revenue target, number of quota-carrying AEs, average deal size, win rate, and sales cycle. For any number you do not have handy, I will offer the benchmark for your motion and label it as an assumption — never as your real data.
- 2
Current Pipeline
Total value of open opportunities right now, and whether that number is win-rate-weighted or raw. This matters: the website form treats pipeline two different ways in two cards, so I confirm it once and use it consistently.
- 3
Coverage & Gap
I compute required pipeline as target ÷ win rate (your real coverage requirement — at a 22% win rate that is 4.5x, not the flat 3.5x the form grades against), then size the true gap by subtracting the pipeline you already have. Every gap is quantified in dollars with the calculation shown.
- 4
Activity Math & AE Load
How many incremental deals, opps, and leads per month it actually takes to close the gap — driven by your real lead-to-opp rate, not a hardcoded 25%. Then the AE capacity check: active opps per rep against the 25-opp ceiling where win rates start dropping.
- 5
Diagnose
Is the gap a volume problem (not enough pipeline entering), a conversion problem (win rate too low), or a capacity problem (AEs already over-loaded)? The diagnosis decides the fix — and I will not recommend a build until the math confirms which one it is.
- 6
Close the Gap
The fix mapped to the Artemis agent that builds it and the partner platform that powers it — starting with the constraint that is costing you the most this quarter, with cost-of-delay framed weekly so the urgency is honest.
- Is the Quota Gap Analyzer Agent really free?
- Yes. It is free to run in Claude — the guided, conversational version of the Quota Attainment Gap Analyzer on the site. It asks follow-ups the form cannot, benchmarks your numbers against our GTM audits and industry benchmarks, and hands you a dollar-quantified gap and a fix roadmap. The build agent that actually closes the gap (the Outbound System, $349) is a separate paid product, named up front only when the math confirms you need it.
- How is the agent different from the calculator on the website?
- The web calculator sizes monthly activity targets off your full revenue number and never subtracts the pipeline you already have, so a team sitting on plenty of pipeline still sees a from-scratch lead target. The agent fixes that: it nets out existing pipeline, makes coverage win-rate aware (required coverage is 1 ÷ win rate, so 4.5x at a 22% win rate — not a flat 3.5x), and lets you use your real lead-to-opp rate instead of a hardcoded 25%. The output is a true gap, not a gross run-rate.
- What does the analysis actually tell me?
- Your real pipeline coverage versus what your win rate requires, the dollar size of the gap to plan with the calculation shown, the incremental leads, opps, and deals per month to close it, an AE capacity verdict (active opps per rep against the 25-opp ceiling where win rates fall), and a diagnosis of whether the gap is a volume, conversion, or capacity problem — each mapped to the Artemis agent and partner platform that fixes it.
- My gap is a volume problem — what closes it?
- When the diagnosis is volume (not enough pipeline entering at your current win rate), the fix is the Outbound System agent (Artemis Hunter, $349) — signal-based sequencing on top of Amplemarket and Warmly visitor identification, built to add qualified pipeline without burning domains. A capacity gap points to Qualification Automation instead, and a conversion gap to the Conversion Content System. The agent recommends only the one the math confirms, with the price up front.
Stack Grader Agent
Artemis Inventory
Grade your sales tech stack and price the gaps - free, guided, in Claude
A free, guided sales-stack diagnostic in Claude. Grades your 8-category GTM tooling, benchmarks coverage by motion and stage, and prices every gap and redundancy in dollars per year.
- Price
- Free
- Billing
- One-time
- Updates
- Via membership
- Runs in
- Claude Chat + Code
The conversational, deeper version of the free Stack Grader tool, run by a senior GTM advisor in Claude. It benchmarks coverage across the 8 GTM categories against the Artemis audit dataset, quantifies each gap and redundancy in dollars per year, and maps the consolidation to the paid Tech Stack Audit Agent plus the partner platform that fills each hole.
- 1
Company Profile
Growth motion (PLG/SLG/Hybrid) and stage (early 1-5M, growth 5-15M, scale 15-50M ARR). Motion re-weights categories; stage sets must/should/nice.
- 2
Stack Inventory
Walk all 8 categories and capture every tool, including ones not on the website pick-list. Unlisted tools still count.
- 3
Grade and Benchmark
Covered categories earn motion-weighted points toward 100; missing must/should categories are gaps and 3-plus-tool categories are redundancy drag, benchmarked to the Artemis dataset.
- 4
Price the Gaps
Every gap is quantified as dollars-per-year forgone at your stage and every redundancy as dollars-per-year wasted, so the score is a stake, not just a letter grade.
- 5
Roadmap
For each gap and redundancy: the fix, the Artemis agent that builds it (Tech Stack Audit Agent for the consolidation), and the partner platform that fills the hole, sequenced by dollar impact.
- Is the Stack Grader Agent really free?
- Yes. It is free to run in Claude, the guided, in-depth version of the free Stack Grader tool on the site. It grades your stack, prices every gap, and hands you a consolidation roadmap. The Tech Stack Audit Agent that executes the consolidation is a separate paid product at $349.
- How is it different from the website tool?
- The website tool scores binary coverage. The agent asks about utilization and integration, counts tools not on the pick-list, charges redundancy as drag, and prices each gap and redundant tool in dollars per year at your stage. You walk away with a stake, not just a letter grade.
- What does the grade actually tell me?
- Your stack score (0-100) with a letter grade, your maturity tier, a coverage map, every redundancy, and a ranked list of gaps each priced as dollars-per-year forgone, with the partner platform and the Tech Stack Audit Agent that fixes it.
- Will it just try to sell me tools?
- No. The grade stands alone. When a confirmed gap maps to a partner platform it names it with an affiliate disclosure and a specific reason; when the stack is sprawling it points to the paid Tech Stack Audit Agent with the price up front. No confirmed gap, no recommendation.
Speed-to-Lead Agent
Artemis Ignition
Sub-5-minute lead response, fully wired
Drop lead response time from the B2B median of 42 hours to under 5 minutes — Warmly + Amplemarket + your CRM, wired end-to-end.
- Price
- $349
- Billing
- One-time
- Updates
- Via membership
- Runs in
- Claude Chat + Code
A Claude-orchestrated implementation package that walks you through installing visitor identification, routing rules, and automated sequences so qualified leads are engaged in under 5 minutes. Includes CRM workflow exports, Slack alert blueprints, and ongoing routines that catch response-time drift before it hurts pipeline.
- 1
Discovery
Audit current response time, CRM model, routing rules, and ICP filters. Baseline measured in your real data.
- 2
Visitor Identification
Install Warmly, tune ICP filters, route identified visitors to the right owner.
- 3
CRM Wiring
Apply the included HubSpot, Salesforce, or Attio workflow export so identified visitors hit the right pipeline within 30 seconds.
- 4
Sequence Build
Stand up Amplemarket sequences keyed to visitor intent — email + LinkedIn + call cadences with Duo Copilot personalization.
- 5
Verify End-to-End
Run a controlled visit-to-outreach test in under 5 minutes. Confirm Slack alert + CRM record + sequence fired correctly.
- 6
Install Routines
Wire weekly response-time checks and monthly ICP-filter refresh routines so the system stays tuned without manual oversight.
- What's included in the Artemis Speed-to-Lead skill?
- The bundle includes a Claude Project system prompt + opening message for Claude Chat, a full Claude Code skill (drops into ~/.claude/skills/) with sub-agents and routines, CRM routing workflow exports for HubSpot, Salesforce, and Attio, a Slack alert blueprint, three Amplemarket sequence templates (hot inbound, warm inbound, ICP-match no form), a monitoring dashboard spec, three ongoing routines that monitor response-time drift weekly and refresh ICP filters monthly, and a step-by-step install guide. Dual-format zip, single-user commercial license, single install. Keep it always-latest with Artemis membership.
- How long does the Speed-to-Lead implementation take?
- Most buyers reach a working sub-5-minute response time in 7-14 days. Day 1-2 installs Warmly and configures ICP filters. Day 3-5 applies the CRM workflow export and validates routing. Day 6-9 stands up the Amplemarket sequences and tests Slack alerts. Day 10-14 runs the end-to-end verification visit. The Claude orchestration handles branching discovery for stack variations (different CRM, different tools) without a generic playbook dump.
- What tools do I need to run the Speed-to-Lead skill?
- A CRM (HubSpot, Salesforce, or Attio), Warmly (or comparable visitor identification — Warmly is the included default with partner pricing), Amplemarket (or comparable sales engagement — Amplemarket is the included default), and Slack for alerts. The skill adapts: if you already have a tool in one of these categories, Claude will branch and use what you have instead of forcing the default. Estimated tooling cost ranges $1,500-$3,500/month depending on stack.
- Does Speed-to-Lead work for outbound or only inbound?
- Both. The skill treats every identified high-intent visitor as a triggered outreach event, regardless of whether they filled a form. Inbound lead forms route through the standard SLA path; identified-visitor signals (Warmly ICP-fit + pricing page view) trigger outbound sequences in Amplemarket within the same 5-minute window. The Claude Code variant adds a routine that detects which path each new account took, so the team learns what is actually driving pipeline.
- How is this different from buying Warmly + Amplemarket directly?
- Buying the tools gets you the engines without the model, the routing, or the routines. The Artemis Speed-to-Lead skill is the assembly — ICP filter design, CRM workflow exports, Slack alert blueprints, sequence library, validation playbook, and ongoing maintenance routines. Most teams that buy the tools alone take 4-6 weeks to assemble a working motion in-house. The skill compresses that to 7-14 days with the implementation orchestrated by Claude.
- Does this agent work with OpenAI Codex, or only Claude?
- Both. Every Artemis agent ships a verified OpenAI Codex edition in the same download, alongside the Claude edition (Claude Chat + Claude Code). Buy once and run the engagement on whichever assistant your team already uses — the Codex edition is a purpose-built port for the Codex CLI, not a copy-paste, with scheduling and engagement state handled natively per platform.
Visitor Deanonymization Agent
Artemis Beacon
Capture the 98% of B2B visitors who leave without a form
Wire up Warmly or RB2B to identify anonymous visitors, route them to CRM, and trigger outbound — without breaking your existing funnel.
- Price
- $349
- Billing
- One-time
- Updates
- Via membership
- Runs in
- Claude Chat + Code
A Claude-orchestrated implementation package that picks the right deanonymization tool for your traffic profile (Warmly vs RB2B vs hybrid), installs it, tunes ICP filters, and wires the enrichment + Slack alert + CRM workflow that turns identified visitors into real pipeline. Includes ongoing routines that report identification rate and new account discoveries weekly.
- 1
Discovery
Quantify your current anonymous traffic, ICP filters, and CRM schema. Estimate the recoverable pipeline.
- 2
Tool Selection
Decide Warmly vs RB2B vs hybrid based on traffic source mix, identification rate goals, and existing CRM.
- 3
Install + Tune
Drop the tracking script, configure ICP filters, and validate identification rate against benchmarks (15-30% expected).
- 4
CRM Enrichment
Wire enrichment workflow so identified accounts flow into the right pipeline with proper ownership and stage.
- 5
Alerting
Stand up Slack channel alerts for high-intent visitors (pricing page + ICP match) with the included blueprint.
- 6
Install Routines
Weekly identification-rate check and monthly new-account briefing so the system feeds outbound consistently.
- What's included in the Artemis Visitor Deanonymization skill?
- The bundle includes a tool-selection decision tree (Warmly vs RB2B vs hybrid), a tracking-script install walkthrough, ICP filter starter templates for Warmly and RB2B, CRM enrichment workflow exports for HubSpot, Salesforce, and Attio, a Slack alert blueprint for high-intent signals (pricing page + ICP match), a monitoring dashboard spec, and three ongoing routines: a weekly identification-rate check with new-account briefing, monthly ICP filter tuning, and a quarterly tool ROI review. Dual-format Chat + Code, single-user commercial license, single install. Keep it always-latest with Artemis membership.
- Should I use Warmly or RB2B for B2B visitor deanonymization?
- The skill includes a decision tree based on your traffic profile. Warmly is the right default for US + international traffic with mid-to-enterprise ICPs at $5M+ ARR — it includes intent scoring, chat, and a richer GTM workflow. RB2B is the right default for US-only traffic with small-to-mid ICPs at $1M-$15M ARR — it offers contact-level (not just company-level) identification at lower price. Hybrid (run both) is the right answer when traffic mix justifies the cost; Claude calculates the breakeven during discovery.
- What identification rate should I expect from visitor deanonymization?
- Realistic identification rates for B2B traffic are 15-30% at the company level (Warmly, Leadfeeder) and 25-50% at the contact level for US-only traffic (RB2B). The skill validates your real rate against this benchmark during install — if your rate falls below 15%, the routine flags ICP-filter or tracking issues to investigate. International, mobile-heavy, or consumer-mix traffic typically lands at the lower end of the range.
- How long does Visitor Deanonymization take to implement?
- The build itself is 2-3 hours of focused work, not a multi-week project. Discovery and tool selection happen in the first session; the tracking script is live and identifying within 24 hours of install — the playbook builds in a deliberate 24-hour verification window to confirm the beacon fires and companies appear in the dashboard before tuning filters. CRM enrichment, Slack alerts, and the end-to-end pipeline test complete in the sessions that follow. The Claude orchestration adapts to your existing stack and traffic profile during discovery.
- Does Visitor Deanonymization integrate with my CRM?
- Yes — the skill includes CRM workflow exports for HubSpot, Salesforce, and Attio. Identified accounts flow into the right pipeline with proper ownership and stage assignment. High-intent visitors (pricing page + ICP match) trigger Slack alerts to the assigned rep within seconds. The Claude Code variant adds a routine that surfaces new high-fit accounts weekly so outbound sequences are fed consistently.
- Does this agent work with OpenAI Codex, or only Claude?
- Both. Every Artemis agent ships a verified OpenAI Codex edition in the same download, alongside the Claude edition (Claude Chat + Claude Code). Buy once and run the engagement on whichever assistant your team already uses — the Codex edition is a purpose-built port for the Codex CLI, not a copy-paste, with scheduling and engagement state handled natively per platform.
Lead Scoring Agent
Artemis Vector
Fit + intent scoring your BDRs actually trust
Build a two-model lead score (firmographic fit + behavioral intent) with decay, BDR queue rules, and an A/B test plan to prove it works.
- Price
- $349
- Billing
- One-time
- Updates
- Via membership
- Runs in
- Claude Chat + Code
A Claude-orchestrated implementation package that builds your full lead scoring stack: fit model from your ICP, intent model from enrichment + visitor signals, threshold tuning against your real conversion data, BDR queue routing, and decay scheduling. Includes ongoing routines that re-tune thresholds monthly so the score does not drift as your funnel changes.
- 1
Discovery
Pull your closed-won + closed-lost data. Map current ICP + scoring (if any) + conversion baseline.
- 2
Fit Model
Build the firmographic + technographic fit score using the Pain-First framework. Tested against your real wins.
- 3
Intent Model
Layer in behavioral signals: visitor identification, content engagement, sequence opens, ICP-match recency.
- 4
Threshold + Routing
Combine scores, set thresholds against your conversion data, and wire BDR queue rules + handoff SLAs.
- 5
Decay + Refresh
Apply decay schedules so stale leads do not poison the queue. Includes the LeadScoreDecayExplained framework.
- 6
Install Routines
Monthly threshold-tuning routine and quarterly fit-model refresh routine so the score stays honest as your funnel evolves.
- What's included in the Artemis Lead Scoring skill?
- The bundle includes the Pain-First scoring rubric as a ready-to-use template plus the playbook layer that applies it (pain signals weighted 60-80%, firmographic capped at 20%), CRM property exports for HubSpot and Salesforce, a closed-won/closed-lost validation playbook, BDR queue routing rules, lead-score decay configuration, an A/B test plan to prove the model works, and three ongoing routines (monthly threshold tuning, quarterly fit refresh, weekly queue health). Dual-format Chat + Code, single-user commercial license, single install. Keep it always-latest with Artemis membership.
- What signals should a B2B lead scoring model include?
- The Artemis model uses four signal categories. Firmographic fit (size, revenue, industry) capped at 20% — fit alone does not indicate intent. Demographic (title, seniority) useful for routing but limited as a buying signal. Behavioral (page visits, demo requests, return-to-pricing) — the strongest imminent-purchase predictor. Pain (recent funding, job changes in target roles, technology installed, metric downturns) weighted 60-80% — pain-driven leads close 3-5x faster than firmographic-only fits.
- How does the Pain-First ICP framework differ from standard lead scoring?
- Standard lead scoring weights firmographic fit equally with behavior, which means a Fortune 500 visiting your blog scores higher than a Series A founder researching pricing for the third time this week — backward. Pain-First weights pain signals 60-80%, firmographic at 20%, with hard disqualifiers validated against closed-won/closed-lost outcomes. This skill ships the Pain-First scoring rubric (template plus playbook layer, documented in the Pain-First ICP Scoring guide). Defining the full pain-point ICP underneath it — win-pattern mining, customer interviews, A/B/C/D tiers — is the deeper ICP Definition engagement, and the advisor will tell you during discovery if your ICP needs that build first.
- Scoring vs qualification vs ICP — which do I need?
- Three different layers, and the order matters. ICP Definition is the foundation: it defines who you are aiming at (win patterns plus the acute pains behind your best deals) and feeds the fit half of every score. Lead Scoring (this agent) builds the two-model score on top of that ICP — firmographic fit plus behavioral intent — with decay, BDR queue rules, and an A/B test to prove it. Qualification Automation is the wider machine the score plugs into: routing rules, MQL-to-SQL handoff SLA, BANT/MEDDIC capture, and the dashboards that catch a broken queue. Where to start: if your ICP is still firmographic-only, run ICP Definition first so the fit model has a real target. If your ICP is solid but leads sit unscored, this Lead Scoring agent is the right entry point. If leads are scored but still leak between marketing and sales, you need the Qualification Automation System, which builds a starter score itself and is the better buy than Lead Scoring plus qualification bought separately. The free Flash Audit will tell you which layer is your actual bottleneck.
- Does Lead Scoring work with HubSpot, Salesforce, or both?
- Both. The skill ships CRM property exports for HubSpot (Marketing Hub Professional or Enterprise) and Salesforce (Sales Cloud with or without Einstein). The Claude orchestration branches during discovery to use the platform you have. The lead scoring template pages for HubSpot and Salesforce are referenced in the bundle and provide field-by-field configuration. If you run both CRMs, the skill builds parallel models and recommends a single source-of-truth.
- How long does Lead Scoring implementation take?
- Most buyers reach a working scored + routed pipeline in 10-21 days. Day 1-3 pulls closed-won/closed-lost data and maps current ICP. Day 4-7 builds the fit model and validates it against actual wins. Day 8-12 layers in intent signals and combines into a unified score. Day 13-17 sets thresholds and wires BDR routing. Day 18-21 deploys decay schedules and installs the ongoing tuning routines. Faster than the 6-9 months an in-house RevOps hire typically takes to a usable model.
- Does this agent work with OpenAI Codex, or only Claude?
- Both. Every Artemis agent ships a verified OpenAI Codex edition in the same download, alongside the Claude edition (Claude Chat + Claude Code). Buy once and run the engagement on whichever assistant your team already uses — the Codex edition is a purpose-built port for the Codex CLI, not a copy-paste, with scheduling and engagement state handled natively per platform.
ICP Definition Agent
Artemis Trajectory
Replace firmographic-only ICP with the Pain-First framework
Build an ICP from customer pains and win patterns, not just firmographics. CRM segment setup + quarterly refresh playbook included.
- Price
- $349
- Billing
- One-time
- Updates
- Via membership
- Runs in
- Claude Chat + Code
A Claude-orchestrated implementation package that walks you through pulling win patterns from your closed-won data, mining discovery transcripts and customer interviews for the real pains, and translating both into Ideal Customer Problems plus a tuned ICP scorecard wired into your CRM. Includes quarterly, monthly, and annual refresh routines so the ICP never goes stale.
- 1
Discovery
Read your current ICP, closed-won and closed-lost inventory, and conversation-intel coverage. The build branches off how much real data you have to work with.
- 2
Win Pattern Analysis
Tier your closed-wons, then cluster the firmographic, trigger, and buying-committee patterns that show up in your best customers but not your lost deals.
- 3
Pain Extraction
Mine 10-20 discovery transcripts and run 3-5 best-customer interviews to surface the acute pains behind each win. This is the unfakeable part.
- 4
Ideal Customer Problems + Scorecard
Write 3-5 problem statements, then build a 5-7 dimension scorecard tuned so 8 of your last 10 wins land in the Ideal band.
- 5
CRM Segment Setup
Create the scoring properties, automation, and routing rules in HubSpot, Salesforce, or Attio so the ICP is operational, not a slide nobody opens.
- 6
Install Routines
Wire quarterly refresh, monthly fit-distribution, and annual deep-refresh routines so win-pattern drift gets caught before the ICP becomes folklore.
- What's the difference between firmographic ICP and Pain-First ICP?
- Firmographic ICP describes the company (industry, size, geography, tech stack). Pain-First ICP describes the company plus the acute problem the company is currently experiencing — recent funding, a metric downturn, a hire in a target role, a technology shift. Firmographic ICPs target accounts that look right; Pain-First ICPs target accounts that hurt right now. Pain-driven leads close 3-5x faster.
- When should a B2B SaaS redefine its ICP?
- When one of four signals appears: sales cycles lengthening without cause, win rate against a top competitor declining, customer churn concentrated in a specific segment, or average deal size dropping. Most B2B SaaS should formally review ICP every 12-18 months. The Artemis skill includes a quarterly recalibration cadence as part of the ongoing routines layer.
- Does this agent work with OpenAI Codex, or only Claude?
- Both. Every Artemis agent ships a verified OpenAI Codex edition in the same download, alongside the Claude edition (Claude Chat + Claude Code). Buy once and run the engagement on whichever assistant your team already uses — the Codex edition is a purpose-built port for the Codex CLI, not a copy-paste, with scheduling and engagement state handled natively per platform.
Tech Stack Audit Agent
Artemis Telemetry
Rationalize the 8-category B2B GTM stack
Category-by-category audit (CRM, engagement, enrichment, conversation intel, visitor ID, revenue intel, pipeline, enablement). Consolidation plan + migration sequencing.
- Price
- $349
- Billing
- One-time
- Updates
- Via membership
- Runs in
- Claude Chat + Code
A Claude-orchestrated engagement that maps your GTM stack across 8 categories from the real invoice ledger, scores every tool on utilization, outcome, and overlap, then produces a sequenced 90-day consolidation plan and a CFO-defensible savings summary. Includes migration playbooks and a quarterly review routine so the stack stays lean.
- 1
Discovery + Inventory
Pull the real invoice ledger, not the from-memory count, and inventory every GTM tool across the 8 categories with cost, seat utilization, renewal date, and owner. Paste the populated worksheet back before anything else moves.
- 2
Category Audit
Walk all 8 categories with the same diagnostic: CRM, marketing automation, sales engagement, enrichment, visitor ID, conversation intel, revenue intel, and enablement. Run overlap detection to flag 0-tool gaps and 3-plus-tool consolidation candidates.
- 3
Scored Consolidation Plan
Score each tool on the 50-point rubric (utilization, outcome impact, integration health, replaceability, cost-vs-value) and sequence a 90-day plan: cancel the zeros, migrate replaceables, renegotiate at renewal, fill gaps. Ends with a CFO-defensible budget impact summary.
- 4
Migration Execution
Run cancellations and replacements without breaking GTM ops. Confirm no live workflows depend on a tool, export data, run replacements in parallel for 2-4 weeks before cutover, then decommission. Common moves: Gong to Sybill, Outreach to Amplemarket.
- 5
Quarterly Discipline
Lock a quarterly review cadence (re-pull spend and utilization, re-score, renegotiate at every renewal) plus a single-owner rule for tooling decisions, so the stack does not re-bloat within six months.
- 6
Verify + Install Routines
Run all five verification tests (inventory completeness, dashboard-sourced utilization, plan feasibility, CFO sign-off, team buy-in) before declaring done. Wire the quarterly-review, monthly-utilization, and weekly renewal-watch routines.
- What does a B2B GTM tech stack audit cover?
- The Artemis audit covers eight categories: CRM (HubSpot/Salesforce/Attio), sales engagement (Amplemarket/Outreach/Salesloft/Apollo), enrichment (Apollo/ZoomInfo/Clearbit), conversation intelligence (Sybill/Attention/Gong), visitor identification (Warmly/RB2B/Leadfeeder), revenue intelligence (Clari/Gong Forecast), pipeline analytics (Mosaic/Spire), and enablement (Highspot/Gong/Allego). Each category gets a scorecard, a redundancy flag, and a recommended consolidation path.
- How much can a tech stack audit save?
- Across the B2B SaaS engagements we have audited, typical savings tend to land in the $48K-$120K annual range for mid-market teams ($5M-$50M ARR) — directional, drawn from our audits and industry benchmarks, not a controlled study — driven primarily by category overlap (two enrichment tools, two engagement tools, redundant analytics). Larger orgs typically save more in absolute terms but a smaller percentage of total spend. The skill includes a savings projection sheet so the consolidation case can be made to the CFO with line-item evidence.
- Does this agent work with OpenAI Codex, or only Claude?
- Both. Every Artemis agent ships a verified OpenAI Codex edition in the same download, alongside the Claude edition (Claude Chat + Claude Code). Buy once and run the engagement on whichever assistant your team already uses — the Codex edition is a purpose-built port for the Codex CLI, not a copy-paste, with scheduling and engagement state handled natively per platform.
Content System Agent
Artemis Halo
Build the content engine that ranks, gets cited, and converts
Editorial calendar, SEO/AEO/GEO content strategy, citation-eligible structure, distribution loops, and pipeline-attributed measurement — diagnosed or built from scratch.
- Price
- $349
- Billing
- One-time
- Updates
- Via membership
- Runs in
- Claude Chat + Code
A Claude-orchestrated system build that diagnoses what is broken in your content motion and either fixes it or builds it from the ground up. Covers content strategy, editorial calendar, SEO/AEO/GEO optimization, citation-eligible structure, distribution loops, pipeline-attributed measurement, and refresh discipline.
- 1
Discovery
We do not move past this until I understand what you publish and why. The build branches off your answers: 200 pieces with no pillar discipline means consolidate and re-link; 10 pieces means build the foundation.
- 2
ICP Problem-Pillar Map
Anchor the entire engine to three Ideal Customer Problems, so every piece published for the next 12 months adds topical authority to one of three accumulating pillars.
- 3
Editorial Calendar
A 52-week plan, themed by pillar, owned by writer. Pick a cadence you can actually hold, fill the slots, and assign one owner per stage of the workflow.
- 4
Content Structure Templates
Lock SEO + AEO + GEO eligibility into templates, so every piece extracts for AI engines and qualifies for featured snippets from the first draft.
- 5
Distribution Loops
Every piece gets multi-channel distribution within 24 hours of publish. The checklist is built into the publish task so it is not optional.
- 6
Measurement
Pipeline impact, not vanity. Track what actually pays for the engine — dollar impact per piece and per pillar.
- 7
Refresh + Freshness
A 90-day refresh rhythm so stats stay current, links stay live, and published pieces stay relevant for years instead of depreciating.
- What's the difference between SEO, AEO, and GEO content strategy?
- SEO (Search Engine Optimization) targets traditional Google rankings. AEO (Answer Engine Optimization) targets featured snippets, People Also Ask, and direct-answer extraction. GEO (Generative Engine Optimization) targets citation by ChatGPT, Gemini, Perplexity, and Claude.ai — the AI assistants that increasingly answer queries without sending traffic to the source. Modern B2B content needs all three. The Artemis Content System builds for all three simultaneously: ranks in Google, earns featured snippets, and gets cited by AI.
- How long does it take to see results from the Content System?
- Search rankings take 3-6 months to compound; AI citation can land in 14-30 days for citation-eligible listicle and definitional content (validated by Artemis's own data — /guides/best-gtm-consulting-firms/ earned 396 AI citations in 22 days). The skill prioritizes citation-eligible formats first (listicles, comparison pages, definitional answers) for fast wins, then layers in long-tail SEO content that compounds over 6-12 months.
- Does this agent work with OpenAI Codex, or only Claude?
- Both. Every Artemis agent ships a verified OpenAI Codex edition in the same download, alongside the Claude edition (Claude Chat + Claude Code). Buy once and run the engagement on whichever assistant your team already uses — the Codex edition is a purpose-built port for the Codex CLI, not a copy-paste, with scheduling and engagement state handled natively per platform.
Outbound System Agent
Artemis Hunter
Signal-based outbound that books meetings without burning domains
Sequencing, signal-based prospecting (intent + visitor ID + job changes), email infrastructure (warmup, deliverability), AI SDR integration. Diagnosed or built from scratch.
- Price
- $349
- Billing
- One-time
- Updates
- Via membership
- Runs in
- Claude Chat + Code
A Claude-orchestrated system build that diagnoses what is broken in your outbound motion and either fixes it or builds it from scratch. Covers sequencing, signal-based prospecting, email infrastructure, deliverability hygiene, AI SDR deployment, and measurement.
- 1
Discovery
We do not move past this until I understand your current outbound and your ICP. This build depends on what your deliverability looks like today — if your domains are already burned, no amount of sequence cleverness fixes that.
- 2
Email Infrastructure
The substrate everything else depends on: separate sending domains, SPF/DKIM/DMARC, and 14-21 day mailbox warmup. Most outbound failures are infrastructure problems, not sequence-content problems.
- 3
Signal Sources
Every touch is triggered by a buying signal, not a static list — visitors hitting pricing, new execs in target roles, funding, hiring spikes — so each email feels timed instead of random.
- 4
Sequence Library
Five to seven sequences, each trigger-mapped. A fresh job change is a different conversation than a competitor displacement is a different conversation than a pricing-page visitor.
- 5
Send Limits + Deliverability
Never sacrifice deliverability for volume. Per-mailbox send limits, spam-rate monitoring, and list hygiene protect the asset that makes everything else work.
- 6
Reply Triage + Routing
Every reply handled within hours. The "they replied" signal is perishable — high-intent prospects move on if you do not move within the same window.
- How is signal-based outbound different from traditional outbound?
- Traditional outbound sprays a static list with generic sequences and hopes 1-3% reply. Signal-based outbound waits for a buying signal — a visitor identified at the pricing page, a job change in a target role, recent funding, a competitor switch — and triggers a personalized outreach within the same hour. Reply rates run 3-5x higher because every touch is contextual. The Artemis system wires the signals — Warmly visitor identification plus Amplemarket intent, job-change, funding, and hiring feeds — into Amplemarket sequences with documented triggers.
- Does the Outbound System work with my existing sales engagement tool?
- The system is built on Amplemarket as the engagement layer — it consolidates sequencing, enrichment, AI personalization (Duo), and signal feeds into one platform, which is the consolidation the playbook deliberately recommends over stitching together separate point tools. Discovery starts with what you run today and what your reply rates look like, and the build branches off those answers; if you have no engagement tool yet, discovery picks the right entry point for your stage and budget. The deliverability doctrine — domain architecture, warmup, send limits, spam-rate monitoring — protects you on any platform.
- Does this agent work with OpenAI Codex, or only Claude?
- Both. Every Artemis agent ships a verified OpenAI Codex edition in the same download, alongside the Claude edition (Claude Chat + Claude Code). Buy once and run the engagement on whichever assistant your team already uses — the Codex edition is a purpose-built port for the Codex CLI, not a copy-paste, with scheduling and engagement state handled natively per platform.
Nurture System Agent
Artemis Harvester
Email automation that re-engages without burning the list
Post-MQL drip, behavior-triggered re-engagement, retargeting orchestration, dormant account revival. Diagnosed or built from scratch.
- Price
- $349
- Billing
- One-time
- Updates
- Via membership
- Runs in
- Claude Chat + Code
A Claude-orchestrated system build that diagnoses what is broken in your nurture motion and either fixes it or builds it from scratch. Covers email automation, post-MQL drip, behavior-triggered re-engagement, retargeting orchestration, and dormant account revival workflows.
- 1
Discovery
We do not move past this until I understand your database and your current nurture. A half-dead list means revive what is salvageable and suppress the rest; a healthy but un-segmented list means stage-mapping and behavior triggers.
- 2
Funnel Stage Map
Five stages, every contact lands in one, with explicit transition rules. You do not build nurture for "the database" — you build it for stages, because a TOFU contact wants different things than a BOFU contact.
- 3
Behavior-Triggered Workflows
Nurture fires when a contact does something, not when a timer expires. Timer-only nurture is the #1 reason databases decay.
- 4
Re-Engagement
Dormant database revival — your highest-ROI segment. Job-change-triggered re-engagement catches the contact who lost interest at one company and becomes a buyer at the next.
- 5
Retargeting Coordination
Email + paid + LinkedIn + organic firing together, so prospects feel ambient presence across channels without feeling stalked.
- 6
List Hygiene + Suppression
Suppression rules and engagement-based throttling locked in now, so deliverability stays clean as the database grows.
- What is a dormant account revival workflow?
- A dormant account revival workflow re-engages leads or accounts that went cold — opened sequences but never replied, attended a demo but never bought, churned customers eligible for win-back. The Artemis Nurture System includes documented triggers (90-day no-engagement, 180-day no-activity, contract end-of-life), sequence templates, and a routing rule that surfaces high-fit dormants for SDR outreach rather than letting them rot in the CRM.
- How do behavior-triggered nurture sequences work?
- Behavior-triggered nurture watches for specific actions — a return visit to pricing after 30 days, a content download from a target persona, a job change in an existing account — and triggers a sequence keyed to that action. Different from time-based drip (day 1, day 7, day 14), which most B2B SaaS already runs. The skill wires the triggers in your marketing automation platform — HubSpot, Customer.io, Marketo, or ActiveCampaign — with documented behavior-to-sequence mappings.
- Does this agent work with OpenAI Codex, or only Claude?
- Both. Every Artemis agent ships a verified OpenAI Codex edition in the same download, alongside the Claude edition (Claude Chat + Claude Code). Buy once and run the engagement on whichever assistant your team already uses — the Codex edition is a purpose-built port for the Codex CLI, not a copy-paste, with scheduling and engagement state handled natively per platform.
Conversion Content System Agent
Artemis Lander
Pricing, demo, and proof pages that close on their own
Pricing page, demo signup flow, case study production, comparison pages, ROI calculators. Diagnosed or built from scratch.
- Price
- $349
- Billing
- One-time
- Updates
- Via membership
- Runs in
- Claude Chat + Code
A Claude-orchestrated system build that diagnoses what is broken in your conversion content and either fixes it or builds it from scratch. Covers pricing page architecture, demo signup flow with gate calibration keyed to your ACV, case study production, comparison pages, and ROI calculators.
- 1
Discovery
We do not move past this until I understand your conversion baseline. We need the before-numbers — pricing page conversion, demo show rate, case study count — before we change anything.
- 2
Pricing Page
Make a deliberate transparency choice — full prices, ranges, or strategic opacity — based on your ACV and sales motion, so qualified buyers self-qualify instead of bouncing.
- 3
Demo Signup Flow
Match the qualification gate to your ACV and AE capacity. Too low floods AE calendars with unqualified prospects; too high loses qualified buyers to friction.
- 4
Case Study Production
A repeatable workflow producing 1-2 case studies per quarter at under 8 hours each, with AI-assisted drafting from interview transcripts — not one heroic effort a year.
- 5
Comparison Pages
Rank for "you vs them" queries and own the narrative for your top 3 competitors. Honest enough to be credible, clear enough to convert evaluation-stage buyers.
- 6
ROI Calculators
Interactive tools that quantify the buyer's pain in dollars, capture email for follow-up, and produce a specific number the sales conversation can anchor to.
- Should B2B SaaS show pricing on the website?
- Yes for $1M-$50M ARR; the "contact us for pricing" pattern is a conversion leak at this stage because prospects de-prioritize accounts that hide the number. Show at least starting prices with the qualifying conditions ("starts at $X for Y users with Z features"). At $50M+ enterprise-led sales, custom pricing tiles with "starting at" anchors work. The skill includes pricing page templates validated against Artemis-audit conversion data.
- What makes a B2B case study convert?
- Specific numbers, named buyers, and the before-state. Generic "improved efficiency by 30%" case studies convert worse than "Acme cut speed-to-lead from 38 hours to 4 minutes; first-month pipeline lift $480K." The Artemis skill includes a case study template requiring: named company + buyer + role, quantified before-state, intervention specifics, quantified after-state, and a quote from the buyer. Production process: 2 weeks per case study with the included interview script.
- Does this agent work with OpenAI Codex, or only Claude?
- Both. Every Artemis agent ships a verified OpenAI Codex edition in the same download, alongside the Claude edition (Claude Chat + Claude Code). Buy once and run the engagement on whichever assistant your team already uses — the Codex edition is a purpose-built port for the Codex CLI, not a copy-paste, with scheduling and engagement state handled natively per platform.
Qualification Automation System Agent
Artemis Gateway
Lead scoring, MQL→SQL handoff, and BDR routing as one machine
Lead scoring, BANT/MEDDIC automation, MQL-to-SQL handoff, BDR queue routing, qualification dashboards. Diagnosed or built from scratch.
- Price
- $349
- Billing
- One-time
- Updates
- Via membership
- Runs in
- Claude Chat + Code
A Claude-orchestrated system build that diagnoses what is broken in your qualification motion and either fixes it or builds it from scratch. Covers lead scoring (fit + intent), BANT/MEDDIC automation, MQL-to-SQL handoff, BDR queue routing, and qualification dashboards.
- 1
Discovery
We do not move past this until I understand where pipeline is leaking. This build depends on team buy-in more than any other — if the BDR-AE relationship is broken at the human level, no system fixes that.
- 2
Lead Scoring Foundation
Qualification automation runs on top of scoring. We validate the score you have — or build a starter — before touching the qualification framework, because without it the BDR queue is just date-ordered.
- 3
Qualification Capture
Pick one framework (BANT or MEDDIC, not both), build only the fields that change routing, and auto-capture what we can so BDRs do not burn call time on data entry.
- 4
BDR Queue Routing
BDRs work in score order with the context they need — why a lead is Hot, the intent signals, the score breakdown — so trusting the score is easier than ignoring it.
- 5
MQL → SQL Handoff Workflow
SLA-enforced and context-rich, inside the CRM. This is where 23% of pipeline disappears; Slack becomes notification, not source of truth.
- 6
Qualification Dashboards
One screen with the four numbers leadership needs to answer "where are we leaking pipeline?" in under 60 seconds — the dashboard they actually open.
- How does Qualification Automation differ from lead scoring?
- Lead scoring is one component of qualification automation — the model that assigns numeric scores. Qualification automation is the full system: the score plus the routing rules, the handoff SLA, the dashboards that catch broken queues, the disqualification policy, and the BANT/MEDDIC workflow that drives discovery calls. Most B2B SaaS have scoring but not qualification automation — leads are scored, then sit. The system ships routing + SLA + dashboards on top of the model.
- Scoring vs qualification vs ICP — which do I need?
- Three layers, built in order. ICP Definition is the foundation — who you are aiming at, defined from win patterns and the pains behind your best deals — and it feeds the fit half of every score. Lead Scoring is the standalone agent that builds a deeper two-model score (firmographic fit plus behavioral intent) with decay and an A/B test to prove it. Qualification Automation (this system) is the wider machine: it builds a starter lead score itself, then wires the routing rules, the MQL-to-SQL handoff SLA, BANT/MEDDIC capture, and the dashboards on top. Where to start: if your ICP is still firmographic-only, run ICP Definition first. If a whole motion is broken — leads scored but leaking between marketing and sales, no SLA, no routing — this Qualification Automation System is the right buy, and the starter score it builds means you do not need the separate Lead Scoring agent unless you want the deeper Pain-First model. The free Flash Audit will tell you which layer is your actual bottleneck.
- What is a healthy MQL-to-SQL conversion rate?
- Across the B2B SaaS engagements we have audited, median MQL-to-SQL conversion tends to run around 13%, with a top quartile of 28%+ (directional, drawn from our audits and industry benchmarks — not a controlled study). Companies running an operational Qualification Automation System land in the 22-35% range because the score + routing + SLA work together to prevent qualified leads from cooling. Below 10% indicates either a scoring problem (wrong leads marked MQL) or a routing problem (right leads marked MQL but never reached). The skill diagnoses which during discovery.
- Does this agent work with OpenAI Codex, or only Claude?
- Both. Every Artemis agent ships a verified OpenAI Codex edition in the same download, alongside the Claude edition (Claude Chat + Claude Code). Buy once and run the engagement on whichever assistant your team already uses — the Codex edition is a purpose-built port for the Codex CLI, not a copy-paste, with scheduling and engagement state handled natively per platform.
AI RevOps System Agent
Artemis Mission Control
Agentic workflows running your CRM, dashboards, and routines
Agentic workflows, CRM data quality automation, AI-orchestrated reporting, MCP integrations, ongoing routines. Diagnosed or built from scratch.
- Price
- $349
- Billing
- One-time
- Updates
- Via membership
- Runs in
- Claude Chat + Code
A Claude-orchestrated system build that diagnoses what is broken in your RevOps motion and either fixes it or builds it from scratch. Covers agentic workflows, CRM data quality automation, AI-orchestrated reporting, MCP server integration, and ongoing operational routines.
- 1
Discovery
We do not move past this until I understand your stack and your toil. This build depends on technical readiness — CRM API access, comfort with Claude Code — and we find that out now, not in Phase 3.
- 2
Claude Code Setup
The foundation everything else runs on. Install, configure, and connect Claude Code to your tools via MCP, and prove a baseline read query works before touching any workflow.
- 3
Agentic Workflows
Replace manual tasks with Claude Code skills that fire on cadence, starting with the highest-ROI workflows: CRM hygiene, KPI reporting, pipeline review prep.
- 4
Reporting Orchestration
Dashboards refresh without manual touch. The report you open Monday morning is updated from source data overnight, not compiled by hand before the meeting.
- 5
Human Escalation Layer
Explicit auto/suggest/escalate boundaries for every workflow, so the system never makes a confident call on something it should not have decided.
- 6
Drift Detection
A monthly meta-workflow that audits the audit layer — costs, success rates, output trust — so the AI layer does not quietly degrade.
- What is an agentic RevOps workflow?
- An agentic RevOps workflow is a Claude-orchestrated process that runs on a schedule or trigger, performs the operational work (data quality checks, dashboard updates, pipeline reviews, lead audits), and reports back when human attention is needed. Different from automation (rule-based, brittle) because it uses Claude reasoning to handle edge cases. Different from dashboards (passive) because it acts on what it finds. The Artemis system installs 6-12 routines on day one and grows from there.
- How does AI RevOps integrate with HubSpot or Salesforce?
- Via MCP (Model Context Protocol) servers that connect Claude Code to the CRM. The system ships configurations for HubSpot's MCP server and Salesforce's emerging MCP support, plus fallback API-based integrations for tools without MCP. Routines query the CRM, identify anomalies (data quality drops, queue backlog, scoring drift), and either fix automatically or notify the assigned operator. Logs every action for audit.
- Does this agent work with OpenAI Codex, or only Claude?
- Both. Every Artemis agent ships a verified OpenAI Codex edition in the same download, alongside the Claude edition (Claude Chat + Claude Code). Buy once and run the engagement on whichever assistant your team already uses — the Codex edition is a purpose-built port for the Codex CLI, not a copy-paste, with scheduling and engagement state handled natively per platform.
Amplemarket Implementation Agent
Artemis Tether
Zero to a live, sending Amplemarket account — built and walked through in Claude
Stands up Amplemarket end to end: connects the Amplemarket MCP, walks you through mailboxes, warmup, the LinkedIn extension, the dialer and DNS auth, then builds your personas, lead lists, and draft sequences in-account.
- Price
- $349
- Billing
- One-time
- Updates
- Via membership
- Runs in
- Claude Chat + Code
A tool-specific implementation engagement that takes you from a blank Amplemarket account to a live, sending one. It connects the Amplemarket MCP as the execution engine, walks you step by step through the account essentials the MCP can't touch — mailbox connection, email warmup, the LinkedIn extension, the dialer, SPF/DKIM/DMARC — then uses the MCP to design your personas, build and enrich lead lists, and assemble your full multichannel draft sequences, stopping at the human switch where you review and activate.
- 1
Connect the Amplemarket MCP
We wire the Amplemarket MCP into Claude first and prove it with a live search. That one connection turns the rest of the build from click-by-click into automated build-and-review — it is the accelerator the whole engagement runs on.
- 2
Sending Infrastructure
The part the MCP cannot touch, walked step by step in the right order: DNS authentication (SPF/DKIM/DMARC), mailbox connection, email warmup on every mailbox, the LinkedIn extension, and the dialer if you are making calls. Warmup is the long pole — we start it on day one.
- 3
Personas & Lead Lists
I run live searches against your ICP through the MCP, tune the filters against real result counts so you see how big each segment is, then build and enrich your lead lists — with a credit-cost checkpoint before any reveal.
- 4
Sequences & Copy
The full multichannel cadence — email, LinkedIn, and call steps — assembled as a ready-to-review draft inside your account, with copy grounded in the value props and tone you authored, not generic AI filler.
- 5
Analytics & Signals
A performance baseline pulled through the MCP plus account, hiring, and reply-inbox reads, so you have a measurement starting point and reply triage from day one.
- 6
Go-Live & Verify
You review and activate the draft — the deliberate human gate the MCP never crosses — then we enroll the first leads and verify the account is genuinely live: auth passing, warmup running on every mailbox, inbox placement healthy.
- What does this do that I can't do in Amplemarket myself?
- Two things. First, it automates the build through the Amplemarket MCP — running your ICP searches, assembling and enriching lead lists, and constructing full multichannel draft sequences inside your account, instead of you clicking through each one. Second, it brings the implementation order most rollouts get wrong: DNS and warmup before sending, messaging settings before AI copy, the dialer configured before a call step enrolls. It is the difference between owning Amplemarket and having it actually running.
- Do I need the Amplemarket MCP connected?
- For the automated parts (live searches, list building, draft sequence assembly), yes — connecting the Amplemarket MCP is the first thing the agent does, and it walks you through it. On claude.ai the custom connector needs a Claude Pro, Max, Team, or Enterprise plan; in Claude Code it works on any paid plan. If you can't connect it, every phase still works in paste-back mode: the agent designs the searches, lists, and sequences and you execute them in the Amplemarket dashboard. The connection is a force-multiplier, never a hard gate.
- How is this different from the Outbound System agent?
- The Outbound System agent (Artemis Hunter) is the tool-agnostic methodology — which signals to fire, which sequences to run, how to think about deliverability across whatever stack you have. Artemis Tether is the tool-specific implementation: you have chosen Amplemarket, and this stands that account up end to end. They compose — Tether gets your Amplemarket account live and populated; if you then want the broader signal-and-sequence strategy across your whole motion, that is Hunter.
- I haven't bought Amplemarket yet — is this for me?
- This agent assumes you already have an active Amplemarket seat — it implements an account you have, it does not decide whether Amplemarket is the right tool. If you are still choosing, start with the Outbound System agent or the free GTM Audit, which help you pick the right engagement layer for your stage. Once you are on Amplemarket, Tether is how you get it live fast.
- Does this agent work with OpenAI Codex, or only Claude?
- Both. Every Artemis agent ships a verified OpenAI Codex edition in the same download, alongside the Claude edition (Claude Chat + Claude Code). Buy once and run the engagement on whichever assistant your team already uses — the Codex edition is a purpose-built port for the Codex CLI, not a copy-paste, with scheduling and engagement state handled natively per platform.
The GTM System
RecommendedArtemis Constellation
All 6 GTM systems plus the ICP they aim at, diagnosed and built
ICP Definition + Content + Outbound + Nurture + Conversion Content + Qualification Automation + AI RevOps — the GTM operating system, built one system at a time.
- Price
- $997
- You save
- $1,446
- Included
- 7 agents
- Billing
- One-time
- Updates
- Via membership
- Runs in
- Claude Chat + Code
The flagship package. Seven Claude-orchestrated builds: ICP Definition as Phase 0, then the six system builds — Content, Outbound, Nurture, Conversion Content, Qualification Automation, and AI RevOps. Each diagnoses what is broken in that motion and either fixes it or builds it from scratch. Stack-agnostic, dual-format (Claude Chat + Claude Code), single install — keep them always-latest with Artemis membership.
- What are the seven agents in The GTM System bundle?
- (0) ICP Definition — the Pain-First ICP every other system aims at; run it first. (1) Content System — the engine that ranks, gets cited by AI, and converts. (2) Outbound System — signal-based prospecting that books meetings. (3) Nurture System — re-engagement that does not burn the list. (4) Conversion Content System — pricing, demo, and proof pages that close on their own. (5) Qualification Automation System — lead scoring, MQL-to-SQL handoff, BDR routing as one machine. (6) AI RevOps System — agentic workflows running CRM, dashboards, and routines.
- Do I get all seven agents immediately?
- Yes. All seven agents are live and included the moment you buy — ICP Definition plus Content, Outbound, Nurture, Conversion Content, Qualification Automation, and AI RevOps. Each is installable independently and stands on its own, so you can run them in whatever order your audit prioritizes (ICP Definition first is the recommended Phase 0). Each includes a single install; Artemis membership keeps them always-latest.
- Does this agent work with OpenAI Codex, or only Claude?
- Both. Every Artemis agent ships a verified OpenAI Codex edition in the same download, alongside the Claude edition (Claude Chat + Claude Code). Buy once and run the engagement on whichever assistant your team already uses — the Codex edition is a purpose-built port for the Codex CLI, not a copy-paste, with scheduling and engagement state handled natively per platform.
Launch Trio Bundle
Artemis Liftoff
The 3 tactical agents plus their ICP prerequisite, bundled
ICP Definition + Speed-to-Lead + Visitor Deanonymization + Lead Scoring — the Phase-0 prerequisite plus the three highest-impact tactical fixes across our GTM audits.
- Price
- $799
- You save
- $597
- Included
- 4 agents
- Billing
- One-time
- Updates
- Via membership
- Runs in
- Claude Chat + Code
All three tactical agents plus ICP Definition — the prerequisite the other three aim at — bundled at a 43% discount. Buy once, run end-to-end in Claude Code or Claude Chat. Single install — keep them always-latest with Artemis membership. Stack-agnostic — adapts to your CRM and tools.
- Artemis Trajectory
- Artemis Ignition
- Artemis Beacon
- Artemis Vector
- Why these four agents together?
- Speed-to-Lead, Visitor Deanonymization, and Lead Scoring close the three revenue leaks that appear most frequently across the B2B SaaS engagements we have audited (the large majority of audited companies show each one — directional, drawn from our audits and industry benchmarks, not a controlled study) — and all three depend on a tight ICP to aim at. ICP Definition is the Phase-0 build: deanonymization filters to ICP-matched accounts, scoring weights ICP pain signals, and Speed-to-Lead routes on ICP fit. Together, the four re-architect the top of funnel with no surprise prerequisite purchase mid-engagement.
- In what order should I implement the four agents?
- Start with ICP Definition (week 1-2) so every downstream filter, score, and routing rule aims at the right accounts. Then Visitor Deanonymization (week 3-4) to identify high-fit anonymous traffic. Then Lead Scoring (week 5-7) so identified visitors plus form-fills are scored consistently. Then Speed-to-Lead (week 8-10) to route everything within 5 minutes. The Claude orchestration handles the sequencing automatically — each agent knows what the previous ones installed.
- Does this agent work with OpenAI Codex, or only Claude?
- Both. Every Artemis agent ships a verified OpenAI Codex edition in the same download, alongside the Claude edition (Claude Chat + Claude Code). Buy once and run the engagement on whichever assistant your team already uses — the Codex edition is a purpose-built port for the Codex CLI, not a copy-paste, with scheduling and engagement state handled natively per platform.
What are Artemis GTM consulting agents?
Artemis GTM consulting agents are operator-grade GTM engagements you run yourself, built on the same playbook from the B2B SaaS engagements we've audited. Each agent runs in Claude (Chat or Code) as a senior GTM advisor — it diagnoses your stack, branches to your reality, walks you through building one revenue system end-to-end, and surfaces the next thing to automate. There are nineteen live agents plus two bundles: seven free guided diagnostics (the GTM Audit plus six ROI calculators and analyzers), five tactical skills ($349 each) that fix one broken lever, six system skills ($349 each) that build a whole GTM motion, one implementation agent ($349) that stands up a partner tool, the Launch Trio Bundle ($799), and The GTM System ($997). Not sure where to start? Run the free 2-minute Flash Audit.
An Artemis GTM consulting agent costs $349 and runs in Claude; the equivalent custom consulting engagement runs $30,000-$80,000 for the same playbook — roughly an 85-230x cost difference. Each agent ships the same Artemis implementation playbook used in client engagements, dual-format (Claude Chat + Claude Code) plus a verified OpenAI Codex edition. The leverage is Claude's reasoning at runtime instead of a human consultant's billable hours. The three most-recommended agents across our hands-on B2B SaaS GTM audits — Visitor Deanonymization, Lead Scoring, and Speed-to-Lead — are bundled with ICP Definition as the Launch Trio at $799 (saves $597).
How a consulting agent works
A consulting agent is not a PDF. It's an interactive Claude session that asks the right discovery questions, makes architecture decisions with you, and ships working artifacts to your stack.
You buy and install
Download the bundle. Use the Claude Chat variant (paste into a new claude.ai Project) or the Claude Code variant (drop into ~/.claude/skills/). Same playbook either way.
Claude runs the discovery
Branched questions about your current CRM, tooling, ICP, and constraints. No assumptions — the skill adapts to your real stack.
You build, Claude orchestrates
Tool selection (favoring proven Artemis partners), CRM workflow exports, sequence templates, Slack alerts — generated and explained as you go.
Routines keep it tuned
Claude Code users wire weekly checks and quarterly refresh routines via /schedule (Claude Code cloud routines, with an OS-scheduler fallback) so the system stays honest as your funnel evolves.
What's included, who it's for, and what it costs
Every agent ships dual-format — a Claude Chat system prompt and a Claude Code skill with sub-agents and routines — plus a verified OpenAI Codex edition in the same download. Single-user commercial license, single install.
Tactical Skill
$349
per skill
Who it's for
Teams with a working GTM motion and one broken lever — slow lead response, anonymous traffic loss, or unqualified lead volume.
Included
- One revenue leak fixed end-to-end
- Chat + Code + Codex editions
- Stack-agnostic build
System Skill
$349
per system
Who it's for
Teams missing or rebuilding a whole motion — Content, Outbound, Nurture, Conversion, Qualification, or AI RevOps.
Included
- Full system diagnosed and built
- Systems-level gap analysis up front
- Sub-agents + ongoing routines (Code)
Bundle — Best Value
$799 / $997
Launch Trio / The GTM System
Who it's for
Launch Trio fits the many audited teams we see with all three top leaks at once. The GTM System fits teams building the full operating model.
Included
- Launch Trio: 3 tactical + ICP Definition (saves $597)
- The GTM System: 6 systems + ICP Definition (saves $1,446)
- Always-latest via Aegis ($790/yr)
Learn by building, not by watching
An agent works with you — diagnosing your stack, adapting as you go, and walking you through the build. That's how complex systems actually get learned: by doing, with support. Not by watching a one-way course, then implementing alone.
Why this exists
Our free guides and calculators tell you what to build. Our consulting builds it for you. There was nothing in between — until now. Consulting agents are the self-serve middle path: priced for solo founders and small revenue teams, structured by the same playbooks we use in client engagements.
Frequently asked questions
Not sure which agent fits?
Run the free Flash Audit. It identifies your top revenue leak and recommends the matching agent.
Run Free DiagnosticAffiliate disclosure. Consulting agents include in-agent referral links to Artemis GTM partner companies (Warmly, Amplemarket, Maildoso, Attio, Sybill, Attention, Apollo, RB2B). Artemis GTM may earn commission on purchases made via these links, at no extra cost to you. Recommendations are based on validation across our hands-on B2B SaaS GTM audits, not on commission rates. Each skill defers to the partner's website for current pricing and features and is explicitly instructed not to invent product specifics.