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Most AI companies launch to practitioners. They never reach the economic buyer.

By the time they notice, the sales cycle has taught the wrong habits. Go-to-market strategy for Series A-B AI companies past validation but pre-scale. Category architecture, buyer-role ICP, evaluator trust, and a sales motion that actually closes.

Built for Applied AI CEOs at Series A-B, $1M-$20M ARR. Applies to VPs of Product at AI companies, Heads of Growth at AI infrastructure companies, founding GTM leads, and similar strategic leaders at AI companies past validation but pre-scale.

// Entry for AI companies

Positioning & GTM Sprint

Category narrative. ICP architecture by buyer role. Sales motion definition. Positioning artifacts. 90-day execution sequence.

$7,500 · 14 business days
Start with 4 questions →

Go-to-market strategy for AI companies, built for Applied AI CEOs at Series A-B with $1M-$20M ARR. The engagement sequences category narrative first, then ICP architecture segmented by practitioner, champion, economic buyer, and procurement, then sales motion and 90-day execution. Entry is the $7,500 Positioning and GTM Sprint delivered in 14 business days. Founder-led. Limited capacity per quarter.

Buying Committee Map

AI buyers need different proof at each level.

The page now makes the hidden buying committee explicit: practitioner excitement, champion confidence, economic buyer risk, and procurement defensibility all need different language.

Practitioner

“Will this make my workflow better?”

Needs use-case clarity, speed, accuracy, and a reason to care beyond novelty.

Champion

“Can I sell this internally?”

Needs a narrative, proof points, risk answers, and language for stakeholders who did not see the demo.

Economic buyer

“Is this worth budget and exposure?”

Needs business impact, budget logic, implementation confidence, and a clear downside-control story.

Procurement

“Can this pass the process?”

Needs security, ownership, integration, reliability, and commercial terms that do not create unnecessary friction.

47%
Representative outcome

47% reduction in CAC payback period. Series A AI infrastructure company.

90 days from strategy engagement to measurable shift. No change to product. No change to ICP. The fix was the order in which the story was told.

CAC payback 24mo → 12.7mo · 90 days
The Three Failure Patterns

What breaks in AI GTM. Not generic. Specific to this category.

Every stalled AI company engagement traces back to one of these. Most trace back to all three, stacked.

Pattern 01 · Category collapse

No reference frame for the buyer.

They cannot evaluate because nothing in their mental model maps to what you sell. The demo is strong. The follow-up goes quiet. Nobody can describe the product internally to the economic buyer without mangling it.

Pattern 02 · Evaluator trust gap

Practitioners love the product. Economic buyers stall.

Usage metrics look healthy. Pilot adoption is real. Then procurement and security review begins and the deal goes silent for six weeks. The champion was never prepared to defend the purchase outside the practitioner circle.

Pattern 03 · Pricing erosion

Capability improvement outpaces contract cycle.

Every renewal negotiation resets down. The buyer points at free tier and open model progress. Contract length shortens. ACV erodes quarter over quarter. Annual pricing designed for stable SaaS breaks when capability drifts every 90 days.

What the Sprint Covers

Strategy artifacts your team can execute from. No retainer required.

Fourteen business days. One founder. Five deliverables engineered for direct handoff to sales, product, and marketing.

What this looks like in practice

Forty pilots. Zero contracts.

A vertical AI company in the legal workflow space had 40+ active pilots. Zero converted to contract in 90 days. The diagnosis: evaluator trust was strong, champion-to-economic-buyer handoff was broken.

Six weeks after repositioning the sales motion: first $180K contract closed.

Vertical AI · Legal workflow · 6 weeks post-repositioning
What to Expect

One engagement. One strategist in the room.

No account managers. No junior analysts on the file. No handoff to a delivery team three days after contract.

The founder, whose broader work is at stantscherenkow.com, leads every engagement. The strategy does not leave the room.

This is why capacity is limited to a small number of AI company engagements per quarter. The constraint is real, not a sales lever.

Fit

Who this is for. Who it is not for.

// Strong fit

Fit

  • Applied AI CEO, VP Product, or Head of Growth at a Series A-B AI company
  • $1M-$20M ARR, past product-market validation, pre-scale
  • Pipeline exists but conversion is stalling at economic-buyer or procurement stage
  • Pricing is eroding faster than expected at renewal
  • Sales team is demoing features because the category is undefined
  • Willing to rebuild the narrative before activating more channels
// Not fit

Not fit

  • Pre-product-market-fit, still searching for an initial customer signal
  • Research spinout without commercial motion yet defined
  • Under $1M ARR and still running founder-led sales as the only channel
  • Primary need is brand identity or visual system rather than GTM
  • Looking for channel execution without a strategy layer first
  • Not prepared to act on the strategy within 90 days of delivery
Desired outcome

What 90 days from the sprint looks like.

  1. Sales calls open with a category statement, not a product demo. Buyers know within 60 seconds where to place you in their mental model.
  2. The four-buyer ICP architecture is live in the CRM. Pipeline is scored by role. Deals stuck at champion stage are visible and worked separately from deals stuck at procurement.
  3. Security, compliance, and model-behavior artifacts sit at top-of-funnel. The evaluator stack sees the answers before the demo, not after the pilot.
  4. The sales motion has a defined champion-to-economic-buyer handoff. No more pilots that never convert because the economic buyer was never in the room.
  5. Pricing posture accounts for capability drift. Usage-indexed, outcome-indexed, or shortened contract cycle. Renewals stop resetting down.
  6. CAC payback is trending toward benchmark within the quarter. Not because more is being spent. Because fewer deals are burning six months before dying.
Qualify

Four questions. Then the sprint scope.

Capacity is limited. The four questions below route you to the right entry point. All four are required.

Q1Where are you in the GTM motion?
Q2What is your ARR range?
Q3Who is the primary buyer for your product?
Q4What broke first?
YouContact
// Submit routes to the Positioning Sprint scope
FAQ

Common questions.
Direct answers.

Answers are written plainly so buyers, search engines, and answer systems can parse the engagement without guessing.

What is the positioning and GTM sprint for AI companies?

The Positioning and GTM Sprint is a fixed-scope $7,500 engagement delivered in 14 business days. For AI companies it produces a category narrative, ICP architecture segmented by practitioner, champion, economic buyer, and procurement, a defined sales motion, positioning artifacts including a one-pager and six-slide deck and sales playbook, and a 90-day execution sequence. It is built for Series A-B AI companies between one and twenty million dollars in annual recurring revenue.

How long does the sprint take and what does it cost?

Fourteen business days from kickoff to delivery. The investment is seven thousand five hundred dollars, flat fee. That covers the full positioning artifact set, the ICP architecture by buyer role, the sales motion definition, and the 90-day execution sequence. Capacity is limited to a small number of AI company engagements per quarter because the founder leads every engagement directly.

Why do enterprise deals stall in security review for AI companies?

Most AI companies sell to practitioners first. Practitioners evaluate with free tools and pilots. The product lands, usage grows, and the champion is enthusiastic. Then the deal moves to procurement and security. The economic buyer has never met the product. The security team treats AI as a risk surface. The deal dies in review because evaluator trust was never built outside the practitioner circle. The fix is to design champion-to-economic-buyer handoff and front-load security artifacts as top-of-funnel assets.

Who is this sprint for and who is it not for?

It is for Applied AI CEOs, VPs of Product at AI companies, Heads of Growth at AI infrastructure companies, and founding GTM leads at Series A-B AI companies with one to twenty million dollars in ARR. Past validation but pre-scale. It is not for pre-product-market-fit exploration, research spinouts without commercial motion, or companies whose primary need is brand identity rather than go-to-market strategy.

How does this differ from a generic marketing strategy engagement?

A generic marketing strategy engagement typically addresses channel mix, campaign calendars, and content planning. This sprint addresses the commercial story first. Category, buyer-role ICP, evaluator trust, sales motion, and pricing posture. Channels do not fix a positioning problem. Most AI company GTM failures are sequencing problems underneath, not channel problems. The sprint sequences strategy before execution.

What happens after the sprint if the team wants ongoing support?

Three paths. In-house execution using the sprint artifacts. A scoped execution project between ten thousand and seventy-five thousand dollars. Or a Quarterly Strategy Partnership at four thousand five hundred dollars per month with a three-month minimum. The sprint is designed to stand alone. The continuation conversation happens at delivery, not at signing.

Where this starts

Your AI product is real.
Build the motion that reaches the buyer with the checkbook.

Four qualifying questions. If there is fit, the next step is the Positioning and GTM Sprint: $7,500 flat, 14 business days, founder-led. Capacity is limited.

// Limited capacity · AI company engagements per quarter