Questions to ask an AI visibility company

AI visibility is a young service category, so clear questions matter more than polished sales slides. Ask these questions before hiring Logres or anyone else.

“Can I see the actual answer?”

Ask to see the buyer question, the assistant’s full answer, any source links it showed, and the date of the check. A score should lead back to something you can inspect.

If a company will show only a dashboard or summary, you cannot tell whether its conclusions match the underlying answer.

“How do you choose the buyer questions?”

Questions can be chosen to make a client look good. Ask whether the company uses natural questions that real buyers ask, whether you can review them, and whether the same questions are used in later checks.

A useful question set should include recommendation, comparison, and decision questions—not only branded questions your business is likely to win.

“What happens when information is missing?”

Sometimes there is not enough approved information to support a score. The honest result is “unavailable,” with a clear reason.

Ask whether the company estimates missing results. A made-up number can look precise while giving you nothing safe to act on.

“Do you promise rankings or recommendations?”

No outside company controls what an AI assistant says. Answers can change with the assistant, model, wording, sources, and date.

A responsible company can show what assistants said, find visible gaps, prepare supported changes, confirm what went live, and check again. It cannot honestly promise a future ranking, recommendation, citation, lead, or sale.

“How do you prove a fix went live?”

A suggested change is not a live change. Ask how the company separates a draft, a delivered file, a published update, and a later check of the website.

You should be able to see which approved changes were actually present on the site before anyone discusses later AI answers.

“When should I not buy this?”

A good provider should tell you when simpler work comes first. If your address, hours, services, or core pages are wrong, fix those basics before paying for ongoing checks.

Hold Logres to the same test

Logres saves the buyer question, full answer, source links shown, date, and check version. We also publish what we do not promise. That makes the work easier to inspect, but it does not make Logres the right fit for every business.

The best buying decision comes from seeing the work clearly and understanding its limits before you sign.

What to ask a vendor

01

Questions

What will you ask, and which assistants?

02

Answers

Can I inspect them?

03

Limits

What can you not show?

04

Follow-through

How do I know a change went live?

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

   AI Index Report 2025

   Stanford HAI

   Annual reporting on model capability, adoption, incidents, and the changing AI landscape.

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

   SEO Starter Guide

   Google Search Central

   Starting guidance on useful, understandable public pages that search tools can read.

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.