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AI Perception Audit

AI systems already form an opinion. The audit makes it visible.

A focused diagnosis of whether AI chatbots find, understand, trust, recommend, or overlook a company — and why.

A compact point of entry

Not a vanity score. A documented view of the story AI systems can currently tell.

The audit tests a defined set of questions across multiple chatbots, compares their answers, checks the visible basis for those answers, and separates weak perception from weak reality.

What gets examined

The questions a prospective customer, partner, or investor might delegate to a chatbot.

  1. 01

    Can it identify the company?

    What the company does, whom it serves, and which category it belongs to.

  2. 02

    Would it consider or recommend it?

    Which alternatives appear, what differentiates the company, and where it is left out.

  3. 03

    Does the answer create trust?

    The evidence, uncertainty, objections, and complaints that shape the answer.

  4. 04

    Is the information current and coherent?

    Where answers rely on outdated, incomplete, contradictory, or ambiguous public information.

The deliverable

A narrative memo built for decisions, not a dashboard built for decoration.

Observed perception

The relevant answers, recurring patterns, disagreement between systems, and material blind spots.

Evidence and interpretation

Documented examples, sources where available, and graphics where they make the findings easier to understand.

Priorities and recommendations

A reasoned sequence of possible actions, with uncertainty and open questions kept visible.

Two response levers

Improve the reality, the information basis, or both.

01

Fix real operational causes

If the answers reveal credible product, service, or operating weaknesses, better communication is not the first fix. The underlying issue needs attention.

02

Improve the strategic information basis

If the issue is outdated, missing, or ambiguous information, the public record can be strengthened with clear, authoritative, and verifiable material.

What comes after

The audit can end with the memo — or become the beginning of a broader engagement.

Implementation can stay with the company. If the findings point to a larger strategic or operational problem, Consulting is the next route.

Explore Consulting

Hey Lucy, scope an AI Perception Audit.

Company, website, market, and the decision this audit should support are enough to begin.

The details are used only to respond to this request. See privacy notice.

Start with a question

What do AI systems currently make of the company?

Lucy can collect the essential context, clarify what is in scope, and route the request.

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