How to Check Whether ChatGPT, Gemini and Perplexity Mention Your Business

Start with ten to twenty questions a qualified buyer might ask before naming a supplier. Include category, problem, comparison and location wording. Add a smaller set that names your brand to test factual understanding rather than recommendation visibility.

Do not prompt only for your preferred answer. Neutral questions such as 'Which firms build client portals for clinics in Dubai?' produce a more useful sample than asking a tool to explain why your company is best.

Use fresh conversations so one answer does not prime the next. Record the tool, account state, date, model or mode when shown, prompt and apparent location. Run each important prompt more than once rather than treating one output as a ranking position.

Check whether the business is named, how it is described, which competitors appear, whether a link or citation is present and whether the cited page actually supports the answer. Save the exact output or a screenshot where product terms permit it.

Use one row per prompt run. Suggested columns are date, platform, prompt, brand mentioned, position in the answer, description accuracy, cited URL, competitor names, follow-up needed and reviewer notes.

Create a separate issue list for incorrect facts, weak source pages, inconsistent business details and missing answers. That turns observation into work without pretending the sample represents every user.

It is useful for service businesses that need a transparent starting point before changing content. It is not a substitute for analytics, referral data or platform-level reporting, and it cannot prove that every user sees the same output.

Avoid automated high-volume querying that conflicts with a product's terms. A small repeatable sample, combined with crawl checks and business outcomes, is more defensible than a large opaque score from an unknown methodology.

Suppose a buyer asks, 'Which companies build client portals for clinics in the UAE?' In a fresh Perplexity session, the auditor records the exact prompt, date, product mode shown, apparent location, every named company, the order of names, cited URLs and whether each cited page supports the description.

A second row repeats the same prompt in ChatGPT search, and a third uses Gemini. If YashAiDev appears once with no citation, that is one observed mention, not a rank of number one. If a source describes conversion websites but the answer calls the business a clinic-software vendor, the row should be marked inaccurate even though the brand appeared.

The useful outcome is an issue: create or improve a public page that accurately explains the portal service and relevant markets, then repeat the same sample after the page is discovered.

Prompting with the brand name in every question produces a comforting report but does not test discovery. Running many prompts in one conversation also contaminates later answers with earlier context. Fresh sessions and neutral buyer wording reduce that bias without eliminating variability.

Another mistake is converting answer order into a search ranking. Generated responses may group options, change wording or omit lists entirely. Report what happened in the sample instead of assigning a precision the product does not provide.

Finally, screenshots without prompt, date, mode and source details are difficult to reproduce. A polished dashboard cannot repair missing collection context. Keep the raw observation available behind any summary score.

Group findings into access, accuracy, coverage and evidence. Access issues include blocked crawlers or client-only text. Accuracy issues include an old service name or wrong location. Coverage issues are unanswered customer questions. Evidence issues arise when the site makes claims without public support.

Prioritize changes that help a real buyer even if no answer engine changes immediately: correct factual pages, clearer service scope, stronger case studies and consistent identity. Then measure referrals and enquiries alongside the repeated prompt sample.

This audit is not for proving market share or guaranteeing future answers. It is also a poor use of time when the business has not defined its buyer questions. Establish those questions before buying a monitoring tool or generating hundreds of prompts.