What to do when AI describes your business incorrectly

An AI assistant can name your business and still give a buyer the wrong picture. It may list an old service, the wrong location, or a description that no longer fits.

Logres checks this with the Accuracy score: how closely saved AI descriptions match business facts that you have approved.

Start with facts your team confirms

Accuracy should not depend on a consultant’s impression. It needs a fact sheet approved by the business, including items such as:

• correct business name and locations;
• current services and service limits;
• important qualifications or attributes;
• preferred plain-language description;
• facts that should not be claimed without approval.

Logres compares the saved AI descriptions with that fact sheet. If no approved facts are available, Accuracy stays unavailable. An unavailable result is not a failing score; it means there is no safe standard for judging the description yet.

Wrong details can quietly lose trust

A bad description rarely creates an alert. The buyer simply sees the wrong specialty, an outdated offering, or a location you no longer serve and moves on.

It helps to separate two problems:

• If the assistant leaves you out, that is a Visibility issue.
• If the assistant names you but gets the facts wrong, that is an Accuracy issue.

These require different fixes, which is why Logres does not blend every result into one overall score.

Review the public places where facts differ

Accuracy work starts with material you can inspect: unclear service pages, old location pages, inconsistent profiles, or outdated third-party descriptions.

Logres can prepare supported corrections for your website and flag outside profiles that deserve review. Your team approves any proposed facts before publication. A later website check confirms what went live, and a later AI-answer check shows what assistants say then.

This process cannot promise that an assistant will adopt the correction. It makes the accurate information clearer and gives you a way to check again.

Common questions

What do you need to score Accuracy?

You need an approved fact sheet that states who the business is, what it offers, and how those facts should be described. Without it, Logres does not guess.

Is an unavailable Accuracy result bad?

No. It usually means the business needs to confirm its facts before a fair check can be made.

Can Logres change what AI says?

Logres can find visible public gaps and prepare supported corrections. It cannot control or promise a future AI answer. It can confirm what was published and check the answers again later.

Are the facts right?

IdentityWho are you?Name + locationCorrect

OfferingWhat do you do?ServicesCurrent

PositioningWhy choose you?AttributesSupported

Research notes

Sources worth reading alongside this note

These primary or first-party sources give more context for the ideas in this article. They do not prove anything about a Logres client or individual result.

1. 01

   Artificial Intelligence Risk Management Framework 1.0

   NIST

   A practical vocabulary for governing, mapping, measuring, and managing AI systems.

2. 02

   Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

   Lewis et al., arXiv

   Foundational research on retrieving explicit sources alongside model memory.

3. 03

   Introduction to structured data markup

   Google Search Central

   Google's documentation on making entities and page meaning machine-readable.

This guide is for information only. Logres checks AI answers for an agreed list of questions on a specific date. It cannot promise that an assistant will name, link to, or recommend a business later, and it does not predict rankings, traffic, leads, or revenue.