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AI brand visibility. Check answers, not promises.

A competitor appeared in an answer and your company did not. Before changing the website, define what you are measuring. This guide connects content-access checks with documented observations of AI answers.

24 pages, PDF + HTML, in English

Cover: Can AI see you?

In the guide

5 tests and an observation log

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Materials prepared by CometWeb.edition 1.3

Does crawler access mean visibility in AI answers?

No. Access to a page, using it as a source and naming a brand in an answer are separate questions. Correct technical configuration does not prove that a tool will cite the content or recommend the company.

Start with a question connected to a customer decision. Record the tool, date, question, answer and sources. Distinguish a link from a brand mention. Compare subsequent observations under recorded conditions instead of treating one screenshot as a stable ranking.

Method example
Which solution fits my problem?
An answer to save
Source: link to a page
Content access✓Citation✓Brand mention—
Compare two states

From content access to a recorded result.

Build an observation log instead of relying on a single screenshot.

Method example
Check access
Customer question
Journey starts here

Access and restrictions

Organise questions about indexing, crawlers and deliberate blocking. Identify the bot relevant to the platform being checked.

Method example
Customer question
Answer sources
Connect the starting point to the result.

Content and customer decisions

Check whether the page explains who the offer serves and what it includes. Prepare questions beyond the brand name itself.

Method example
Before
!Evidence missing
After checking
Result recorded

Answers, links and mentions

Record distinct types of presence in an answer. A missing brand or source is also an observation worth keeping.

Method example
Plan an observation
✓What was checked
✓Evidence and result
Next action
Ready to share with the team

Comparison and follow-up

Separate verification of a technical fix from observation of its effect. Work through an example and the scope of the Generative AI performance report.

Page 16: the Generative AI performance report and comparing results.
Page 16: the Generative AI performance report and comparing results.Open the excerpt at full size

Save the answer before interpreting it.

The package includes recorded example CW-AI-001: an answer, an observation record and a completed log. Inspect the evidence behind the conclusion, then use the blank sheet for your own website.

  • Choose one page, platform and customer question.
  • Save the answer and its sources.
  • Repeat the observation and describe what actually changed.
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Free materials in English. Verify your email, choose a format and download your files.

PDF guide

24 pages. For reading, saving for later or printing.

Online reading version

HTML for reading in your browser. Revisit the guide on your phone or computer.

Blank and completed CSV observation logs

Includes the saved answer in TXT and a JSON record. Open them in a spreadsheet or share the evidence with a colleague.

For people who need to explain a result to a client.

The material serves SEO specialists, marketers and agencies starting to track AI answers. It helps define the observation scope and prepare team tasks without promising permanent brand presence.

No. Answers depend on the question, tool, time and personalisation, among other factors. The guide helps you record those conditions and distinguish a single observation from a sustained result.

About the publisher: CometWeb

Turn a single screenshot into an observation you can revisit.

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