What AI says
Verbatim answers and synthesized patterns across major systems, organized by buyer question, model behavior, and commercial consequence.
The AI Buyer Intelligence Sprint.
A fixed-scope executive engagement for B2B SaaS teams that need to understand how AI systems interpret their company for buyers, what public evidence drives that interpretation, and which changes should come first.
3 weeksExecutive briefingEvidence map90-day agenda
The Sprint is not a content calendar, SEO audit, or dashboard subscription. It is an executive diagnosis of how AI systems are interpreting your company for buyers, and which public evidence should change first.
01Engagement structure
Three weeks, one decision-grade deliverable.
The Sprint is built for leadership teams that need a clear read on machine perception, not another analytics dashboard. The deliverable is designed to support decisions across positioning, proof, trust, competitive content, and revenue enablement.
Week 1, Interrogation
Ask what buyers ask
We test shortlist, comparison, risk, enterprise-readiness, category, pricing, implementation, and trust questions across major AI systems.
Week 2, Attribution
Trace answers to evidence
We identify the pages, docs, reviews, announcements, stale descriptions, third-party narratives, and evidence gaps likely shaping material claims.
Week 3, Briefing
Prioritize what changes
Your leadership team receives findings, implications, and a practical 90-day evidence agenda ranked by commercial importance and feasibility.
Timeline
About 3 weeks
Audience
Founder, CEO, CRO, CMO, or marketing leader
Output
Executive briefing, evidence map, 90-day agenda, retest baseline
02How the Sprint runs
A defined operating process from question set to leadership decision.
Public evidence is the core dataset. Internal context can be supplied selectively to improve interpretation, but the work does not require broad access to confidential systems or customer data.
Kickoff
Align on category, ICP, competitors, and buyer-critical moments. We agree on the questions that matter commercially and the claims leadership needs buyers to understand.
Interrogation
Test the question set across major AI systems. We capture outputs verbatim and identify stable patterns, disagreements, omissions, and conservative defaults.
Evidence review
Map material answer patterns to the public record. We examine likely sources, stale narratives, missing proof, inaccessible evidence, and ambiguity.
Leadership briefing
Connect interpretation to business consequence. Leadership reviews findings, shortlist risk, objection formation, competitor advantage, and the prioritized 90-day evidence agenda.
Retest baseline
Preserve the original buyer lens. The question set and baseline outputs create a practical reference for evaluating future evidence changes.
03What leadership receives
A practical map from AI interpretation to public evidence.
Findings
Attribution
Why it says it
Likely source evidence, stale descriptions, missing proof, third-party narratives, review signals, and gaps the system fills conservatively.
Action
What changes first
A ranked evidence agenda for trust pages, competitive pages, category language, customer proof, security proof, and canonical descriptions.
Briefing format
Built for executive review
The briefing is structured so leaders can see the problem quickly: what buyers ask, how AI answers, why that answer is plausible, and what should be fixed first.
Retest baseline
Not a one-off curiosity
The Sprint establishes a baseline of current outputs so future evidence changes can be tested against the same buyer-critical questions.
04Use cases
Use the Sprint when interpretation risk is now a revenue problem.
01
Enterprise credibility
AI calls the product promising, but defaults to safer alternatives because public evidence of security, scale, or deployment maturity is weak.
02
Category misunderstanding
The company is interpreted through an old category, shallow use case, or generic description that does not match the current strategic position.
03
Competitive defaulting
Better-known competitors get the benefit of the doubt because they have more machine-readable proof, clearer pages, or a stronger public trust record.
05Fit and standards
Strategic work, not a junior content checklist.
Best fit
- B2B SaaS companies selling high-trust products into mid-market or enterprise.
- Teams competing against better-known incumbents.
- Companies where security, category clarity, implementation risk, or public proof affects shortlist decisions.
- Leadership teams willing to improve evidence buyers and AI systems can actually access.
Not the right fit
- Teams looking for guaranteed AI rankings, citations, or model control.
- Companies that only want more mentions without examining interpretation.
- Teams unwilling to publish or improve public evidence.
- Businesses where one misframed shortlist would not materially matter.
The Sprint is intentionally narrow: diagnose how AI systems currently interpret the company for buyers, trace why, and make the evidence agenda obvious enough for leadership to act.
Start with the walkthrough.
The Sprint should follow a live moment of evidence, not a speculative pitch.