AI Buyer Intelligence for B2B SaaS
Before prospects talk to sales, they may ask ChatGPT, Claude, Gemini, or Perplexity who to trust. Memetic Intel shows how AI frames your company, what public evidence drives the answer, and what to change before that perception shapes the deal.
20 minutes / Your company / Real buyer prompts / No prep required
"We're evaluating vendors in this category for an enterprise rollout. Who should we shortlist, and what are the risks?"
This vendor is credible on core capability1, but pricing is difficult to assess2 and there is limited independent validation of enterprise deployments3. For regulated environments, buyers may prefer more established alternatives.
Evidence behind each phrase
Present evidence. Docs and an engineering blog back the capability claim.
Ambiguous evidence. No public pricing context, forum speculation fills the gap.
Absent evidence. Enterprise wins exist, but nothing citable names them. Silence reads as risk.
Live, on screen, in about 20 minutes. Your company, real buyer questions, major AI systems, answers verbatim.
The company appears technically credible, but public evidence of enterprise deployment, security maturity, and named customer outcomes is limited. A buyer may keep it on the longlist while favoring vendors with more visible proof.
Switch the buyer question and model. The wording changes, but the decisive pattern is usually the same: AI interprets the public evidence available, including what is absent.
In 20 minutes, you see answers verbatim across major AI systems, plus the first read on what evidence is helping, missing, or working against you.
The walkthrough does not require sensitive internal data. It uses public buyer-facing prompts, public evidence, and the company context you choose to provide.
For B2B SaaS teams selling high-trust products into mid-market or enterprise, public evidence can shape the shortlist before sales gets a chance to respond.
Security, compliance, deployment, and customer proof may exist internally but remain too buried, gated, or stale to support the answer.
When evidence is incomplete or ambiguous, AI may route buyers toward better-known alternatives with a clearer public record.
AI can reduce a differentiated company to generic category language, making stronger competitors appear easier to understand and trust.
See where category confusion, trust gaps, or incumbent bias may keep the company out of serious consideration before sales can respond.
Identify the risks, competitive defaults, and credibility questions that may already be shaping the buyer before an opportunity appears in CRM.
See whether public messaging and proof are interpreted the way the company intends across major AI systems.
Evaluate category language, enterprise readiness, competitive framing, and the claims buyers use to compare alternatives.
Especially worth checking before
If the framing is healthy, we will tell you. The goal is diagnosis, not manufacturing a problem.
Buyers form shortlists, trust judgments, and objections inside AI assistants before your pipeline knows the deal exists.
These answers do not show up in your analytics. Your buyers may be reading them anyway.
AEO and GEO tools track mentions and rankings. The commercial risk lives one layer deeper: interpretation.
| Answer-engine optimization | AI Buyer Intelligence | |
|---|---|---|
| Question asked | "Do we show up?" | "How are we interpreted, and why?" |
| Unit of analysis | Mentions, citations, rankings | Claims, evidence, and the gaps between them |
| Output | Visibility dashboards | A map from each interpretation to its source evidence, with what to fix first |
| Risk addressed | Absence: you're not mentioned | Misrepresentation: you're mentioned, but framed in a way that costs deals |
| Owner | Marketing operations | Leadership: it's positioning, proof, and trust |
Being cited more often for the wrong interpretation is not progress.
One finding, the way it appears in a Sprint briefing. Composite illustration, not a client engagement.
"Can this company support enterprise deployment in regulated industries?"
Consistently: "promising but early." Assistants recommend mid-market pilots and route enterprise buyers to two incumbents. One flags "limited evidence of compliance maturity."
This creates a sales problem your CRM never records: the buyer chooses the safer incumbent before your team knows an evaluation happened.
SOC 2 attained but published nowhere machines can read it. Real enterprise wins, zero citable proof. A 2022 seed-round announcement is still the most-cited description of the company.
Publish security and compliance evidence where synthesis can reach it, a public trust page, not a gated PDF. Then replace the stale funding narrative with a current canonical description.
A fixed-scope engagement for leadership teams. Three weeks, one executive briefing, no dashboard subscription.
We test buyer-critical questions, comparisons, trust, risk, fit, across the major AI systems and capture answers verbatim.
Every material answer is traced to public evidence, stale evidence, or the gap the system is filling with inference.
A working session with your leadership team: what AI says, why it says it, and a prioritized 90-day evidence agenda.
~3 weeks, fixed scope
Founder/CEO plus sales or marketing lead
Executive briefing + prioritized evidence agenda + baseline for re-testing
Built to be owned by leadership, every finding traceable to a question we asked and evidence we can show you.
Book a Live AI WalkthroughEvery engagement is led directly by Marc Osborn, from the live diagnosis through interpretation and executive briefing. No junior handoff. No dashboard subscription.
Memetic Intel uses AI Buyer Intelligence to describe this specific layer of work: understanding how AI systems like ChatGPT, Claude, Gemini, and Perplexity interpret your company for buyers, tracing that interpretation to public evidence or evidence gaps, and prioritizing what to change.
AEO measures whether you appear in AI answers. We examine how you're interpreted and why. Being cited more often with the wrong framing is not progress.
We run a few real buyer questions about your company against major AI systems, live on screen. You see the answers verbatim. About 20 minutes, no deck, no generic pitch.
Three weeks, fixed scope. Week one we interrogate the systems, week two we trace material answers to evidence or evidence gaps, and week three we brief leadership and hand over a prioritized 90-day evidence agenda.
Founders, CEOs, CROs, and marketing leaders at B2B SaaS companies, typically $5M to $50M ARR, selling high-trust products into mid-market or enterprise with long sales cycles.
No. Anyone promising that should worry you. AI systems change and no one controls their outputs. We show you what they currently say, the evidence most likely driving it, and the changes most likely to move interpretation, with a baseline to re-test against.
No. The Live AI Walkthrough is based on public buyer-facing prompts, public web evidence, and the company context you choose to provide. Do not submit confidential customer data, credentials, trade secrets, or regulated personal data.
Book a Live AI Walkthrough. Your company, real buyer prompts, answers on screen, 20 minutes. You will leave knowing how AI frames your company and which evidence deserves attention first.
Best fit / B2B SaaS / Mid-market or enterprise / High-trust products