What does ChatGPT say about my company? A test record
In short
Assess what ChatGPT says from an actual saved answer, including the question, time, visible system, search mode and sources. One correct statement does not establish permanently accurate coverage or discovery by unknown buyers.
A search position does not tell you what an assistant says about the business. Inspect actual answers to relevant questions and compare the claims with current evidence.
For Gulf customers, keep Arabic and English tests separate. A correct answer to an English question containing your name does not establish discovery by an Arabic-speaking buyer who has never heard of the business.
Three types of question
| Type | Example | What it checks |
|---|---|---|
| Identity | What does this named company offer? | Accuracy of the description |
| Service | Who designs coffee packaging for a UAE business? | Presence in a relevant supplier search |
| Comparison | Which provider fits this rebranding scope? | How the business is positioned against requirements |
Use actual customer wording and relevant market criteria. Do not add your name to every prompt and call the result independent discovery.
Evaluate those question types separately
A correct contact detail and a relevant supplier selection answer different questions. Keep their records apart before producing a summary.
Published access documentation explains particular technical roles, not a complete recommendation formula. Do not infer a ranking from the name of a crawler in a log.
A proposed answer record
| Field | Record for each observation |
|---|---|
| Question | Exact wording |
| Environment | Date, time and visible system or model |
| Settings | Language, search mode and relevant context |
| Answer | Complete saved response |
| Sources | URLs actually supplied |
| Review | Correct, incorrect or unsupported claims |
This is a proposed protocol. No authenticated company test is reported by the article. The actual response must come from the test rather than a reconstructed example.
Check more than one environment
Where relevant, repeat the defined questions in the systems used by your customers. Record whether search was used and avoid assuming every answer relies on current web retrieval.
A different result is an observation to retain. It is not, by itself, evidence that a system prefers a particular file type or that every business needs different duplicate content for each assistant.
Compare claims with their primary sources
Check the current business name, services and contact route against responsible sources. A portfolio statement should describe the actual contribution to that project.
Pucca Diana documents twenty-two photographs renamed and tagged with metadata. That is a specific task an answer can describe accurately; it does not establish a ChatGPT recommendation frequency or prove unrelated claims about the project.
Save the answers rather than remembering impressions
Keep the wording, date, system, answer order and source links. Record what was absent as well as what appeared.
Choose a review schedule appropriate to the changes and business need. A new service or name can justify another observation; this article does not establish one universal monthly interval for every company.
Separate information errors from access problems
Open the cited source where available. If the source is wrong, identify who controls it and document the correction. If no source supports the statement, leave its origin unresolved.
Check technical access independently using the documentation for the relevant system. Google’s requirements explain Google indexing, not the complete behaviour of every assistant.
Investigate possible sources of wrong information
Look for an old directory listing, discontinued website content, forgotten profile or conflicting service description. Generated statements can also lack a valid source.
These are possibilities, not a diagnosis of the current answer. Clear sources make checking easier but cannot guarantee that an external system never makes an error.
Repeat with recorded conditions
Use the same agreed question set and keep a separate timestamp for each run. Document differences in language, location context, search mode or conversation history rather than silently treating them as equivalent.
A dashboard in a portfolio record does not supply a complete answer dataset. Retain negative answers; excluding them after the test would distort the report.
Commission a specific correction
A supplier can correct a service page, add an appropriate source or investigate a blocked URL. Acceptance should show that actual change.
Whether another system uses it later is a separate observation. The work should not be sold as a guaranteed immediate correction of every user’s answer.
Define what the count measures
A name mention, source link and accurate claim need different counts. Specify a denominator for any rate. As a hypothetical arithmetic example, three mentions in ten recorded answers equal 30% for that test only.
That is neither an actual studio result nor a prediction for other questions or users. A human visit and an enquiry need their own records.
Correct the sources you can influence
Update current pages, authorised profiles and inaccurate external entries through their responsible publishers. Ensure technical descriptions agree with visible facts. Do not invent listings or edit a third-party source beyond its rules.
Our AI search and entity visibility service connects this review with the website work. Send saved answers and the relevant URLs so the corrections can start from evidence rather than assumptions.