How Logres chooses the questions buyers ask AI

An AI visibility check can be made to look flattering by asking only easy questions. If every question favors the client, the final score says little about real buyer decisions.

Logres uses clear rules to choose questions instead.

Use buyer language

The questions should sound natural when spoken aloud. Buyers ask things such as:

• Who should I call for this problem?
• Which providers should I compare?
• What should I look for before choosing?
• Is this business a good fit for my situation?

They do not usually speak in brochure language. Questions built from marketing slogans are more likely to test the slogan than the real market.

Cover the whole decision

Asking only about the client by name is not enough. An assistant will usually describe a business when directly asked about it.

A useful group includes category questions, comparison questions, and questions that help a buyer confirm fit. It should also cover the agreed services and locations that matter to the business.

Let the client review, but not rig, the questions

Clients know which services matter, which markets are real, and which competitors buyers consider. That input is essential.

Neither the client nor Logres should tune a question toward a comfortable result. The check needs permission to show bad news as well as good news, or it is not useful.

Keep the questions steady

Once the group is approved, Logres saves it as a version and uses the same questions in later checks. This helps show whether the answers changed rather than the questions.

If the business adds a service or enters a new city, the question group can change. That creates a new version and a new reference point. Results on opposite sides of that change should not be presented as a clean trend.

Ask any provider how its questions were chosen

When evaluating an AI visibility company, ask three things:

1. Do the questions sound like real buyers?
2. Can I review the full list?
3. What happens if an easy question is replaced by a harder, realistic one?

The answers will tell you whether the service is checking the market or simply arranging a good-looking report.

How questions are chosen

Words buyers use→What they need→Options they compare→Facts they check→Same questions each time

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.