AI Reputation Assessment

A business’s reputation used to be what its customers said about it. Increasingly, it is also what machines say about it — in AI-generated answers assembled from sources the business may never have seen, some of which are wrong, outdated, or not about the business at all. The AI Reputation Assessment investigates that descriptive record: how a company is portrayed, by which sources, and whether what is being said is true.

Where an AI Visibility Audit measures a business’s presence in AI answers — citations, mentions, and sources — a Reputation Assessment examines the content of the representation itself. It is concerned less with whether AI systems mention the business than with what they, and the sources behind them, say about it.

What the assessment investigates

Descriptions and characterizations. How the business is described across AI-generated answers and the sources those answers draw on: what it is said to do, whom it is said to serve, how it is positioned, and whether those descriptions match the documented facts.

Inaccuracies. Statements about the business that are factually wrong — incorrect products or services, wrong locations, misstated history, wrong people in leadership roles — each recorded with the answer or source text that contains it.

Outdated claims. Information that was once accurate and no longer is: former addresses, discontinued services, superseded pricing or credentials, closed locations still presented as current. Outdated information is often harder to dislodge than outright error, because it is repeated by sources that were correct when they published it.

Identity confusion and impersonation. Cases where the business is conflated with another company — a same-name business in another market, a similarly named competitor, a predecessor or successor entity — or where third-party pages present themselves as the business: unofficial profiles, cloned listings, and pages a customer could reasonably mistake for official ones.

Third-party substitution. The sources that speak in the business’s place when its own record is thin: directories, aggregators, review platforms, archived pages, and data brokers whose descriptions become the default account of what the business is, whether or not the business has ever reviewed them.

How the assessment is conducted

The assessment follows the documentation process described in our methodology. A defined set of questions about the business — its identity, offerings, locations, and standing — is run across the relevant AI platforms, and each descriptive claim in the responses is traced back to the sources it rests on. Those sources are then examined directly, so the report distinguishes between an error an AI system introduced and an error it faithfully repeated from the underlying record.

Every finding is checked against primary sources and official company documentation wherever accessible, and classified as what it is: a verified fact contradicted, a claim supported only by the company itself, or a statement reported by outside sources that cannot be independently established. Claims we could not verify are reported as unverified, not as false.

What you receive

You receive a written findings report: the descriptive claims found about the business, organized by theme; each inaccuracy and outdated claim with its supporting evidence and the sources carrying it; each case of identity confusion or third-party substitution, with the pages involved; and an assessment of which findings are isolated and which are propagated across multiple sources. The report is a documented record of how the business is represented, not a summary of impressions.

What the assessment is not

An assessment documents representation; it does not rewrite it. It is not a reputation management campaign, it does not contact platforms or sources on the business’s behalf, and it does not remove, suppress, or bury information. Correcting the underlying record is the work of AI Citation Development; tracking how representation changes afterward is the work of AI Visibility Monitoring.

The assessment also carries no guarantee about what any platform will say in the future. AI answers change as sources change, and a finding documents what was observed at the time of testing.

The terms of the engagement

The AI Reputation Assessment is a paid service. Payment covers the research, testing, and documentation described on this page. It does not purchase favorable findings or editorial conclusions of any kind, and it does not purchase citations, rankings, recommendations, or visibility on any platform. Where the evidence is unflattering, the report says so; our editorial standards govern how findings are reported, for paying clients exactly as for everyone else.

Know what is being said

If you do not know how your business is described in AI-generated answers — or suspect the description is wrong, outdated, or borrowed from another company entirely — an assessment establishes the record. Contact us to discuss an AI Reputation Assessment for your business.

Scroll to Top