Does AI recommend your business?

It is rank tracking for AI answers. Instead of checking where your website sits on Google, we check whether ChatGPT, Gemini, and Google's AI name your business when someone asks the questions your customers ask. We run the same questions on a schedule and chart whether you are mentioned, cited, or absent, and who gets named instead.

No, and nobody honest can. AI answers are generated fresh each time and change between sessions. What we can do is fix the sources the models read, meaning your reviews, your site structure, and the pages that describe what you do, then measure whether the answers move. You see the same data we see.

It overlaps. The industry calls it AI SEO or GEO, generative engine optimisation. Much of what wins AI recommendations is classic SEO done properly: real reviews, clear content, structured data. The difference is measurement: you have to check what the AI actually says, week by week. Some SEO platforms now track AI mentions; we built our own tracker so the checks run on your customers' own questions, logged out, and we run it for you.

A fixed monthly fee agreed before we start, scoped to the number of questions we track. Running the checks costs us pennies per question, so this is priced well under a typical SEO retainer, and you can stop any time. There is no lock-in contract.

AI search is new enough that nobody has a track record long enough to crown a best, and you should be wary of anyone claiming one. The thing to test for is measurement: can they show you, week over week, whether ChatGPT and Google's AI actually name your business? RankMe tracks exactly that across ChatGPT, Gemini, Google AI Mode and Claude on a schedule, records which competitors get named instead, and reports the trend rather than one lucky screenshot. We built the tracker ourselves so it asks the questions your customers ask.

RankMe does, from the Klang Valley. GEO is the work of getting ChatGPT, Gemini, Google AI Mode and Claude to name your business when someone nearby asks for a recommendation. In practice it means fixing what AI answers draw on: reviews, structured data, content that answers the exact question, and mentions on pages the AI already cites. We add an llms.txt file too, for the agents that use one. Then we track weekly whether the answers change. We cannot promise a model will recommend you, because nobody controls what an AI says. What we report is whether the pattern moved.

Yes, on both sides of it. AI drafts and audits content, and it now also decides what gets recommended, because ChatGPT, Gemini and Google's AI answer questions that used to go to ten blue links. We built our own toolkit for the measurement half: rank tracking, site audits, keyword research, backlinks and AI-visibility monitoring. It is why what we report is measured rather than guessed.

Feed the sources the models read. AI answers lean on sources they can check: for Google's AI, a claimed Google Business Profile with the most specific primary category; for all of them, a steady flow of real reviews, the same name, address and phone across the web, and pages that answer the exact question a customer asks in plain words, with structured data so the answer can be parsed. Then measure. We put your customers' questions to ChatGPT, Gemini, Google AI Mode and Claude on a schedule and record whether you are named, cited, or absent, and who is named instead. Nobody can promise an AI answer, and ranking on Maps does not guarantee one, but the two draw on overlapping signals, so the work feeds both, and the tracking shows you whether the answer actually moved.