Who does AI recommend instead of your business?

We don’t give you a black-box score. We show you, under controlled conditions, who AI recommends, who appears instead of you, how recommendations change by customer intent and AI provider, and what the evidence suggests you should investigate next.

Sample observation from controlled research

In one controlled observation, ChatGPT returned names including State Farm, Farmers, Allstate, and Liberty Mutual. The observed local business did not appear among the recommendation results.

Example from controlled research — not a prediction, not a claim that AI always does this, and not evidence of causation.

Human Guided & Supervised, AI Assisted.

The diagnostic is designed and reviewed by humans. AI assists with analysis; it does not replace interpretation of the evidence.

What makes this different from asking AI yourself?

A casual AI search gives you an answer at one point in time from one chat session.

The Diagnostic + Action Brief uses controlled questions across ChatGPT, Gemini, and Claude, compares recommendation patterns, identifies displacement and intent differences, and turns the evidence into specific things to investigate next.

What We Measure

Per-LLM evidence

See what ChatGPT, Gemini, and Claude return for controlled questions about your market. No single overall score — per-model evidence so you can see where to investigate.

Recommendation and displacement

See which businesses are recommended and whether your business appears in the observed results. The displacement map shows which businesses occupy the recommendation space when your business is not among the observed recommendations.

Intent differences

See how recommendation patterns change when the customer question changes.

Opportunity map

Identify areas worth investigating across entity information, content, authority, reputation, and supporting evidence.

Action Brief

Receive up to three prioritized investigation experiments based on the observed evidence — designed to reduce uncertainty, not to promise recommendations.

Founder walkthrough

Review the findings and implications directly with the BiDigest founder.

Up to 3 prioritized investigation experiments

We identify up to three specific, testable hypotheses based on the evidence in your diagnostic. Each experiment is tied to an observed gap and explains what to investigate or test, why it may matter, how we would re-measure the result, and what signal would indicate improvement or no meaningful change.

Each experiment includes:

  • Hypothesis — what may be affecting AI recommendation visibility
  • Evidence — what we observed that led to the hypothesis
  • Action to test — what the business could investigate or change based on the observed evidence
  • Measurement — what we would look for in a subsequent controlled observation
  • Expected signal — what would count as improvement or no meaningful change

These are investigation experiments, not guarantees. BiDigest does not promise that any change will cause an AI provider to recommend your business.

The Diagnostic + Action Brief identifies and prioritizes the experiments. It does not include implementation of website, SEO, content, directory, or other recommended changes.

What This Does Not Prove

  • That AI “caused” lost customers
  • A universal AI Visibility Score
  • That changing your website will guarantee recommendations
  • It does not establish causation from a recommendation result.

Evidence First

Evidence first. Interpretation second. No black-box score. Findings are for visibility investigation only. They are not legal advice and do not guarantee that AI systems will recommend your business.

Ready to See Your AI Visibility?

Start with a sample for your market and a short conversation — then the full Diagnostic + Action Brief if you want it.

See a Sample for My Market