Your customer is asking AI.
Are you in the answer?

ChatGPT builds its recommendations not from ads, but from the structured data on your site, mentions across trusted sources and content it can read. To get recommended, clarify your business details, add schema, publish pages that answer common questions, and keep your Google Business Profile up to date.

AI recommends the business that is mentioned more often and more clearly in the sources it reads. If your competitor is getting recommended, their site is more readable to AI and the mentions about them are stronger. That gap is measurable — and closable.

The most reliable method is to ask the question your customer would ask ("What’s the best Y in city X?") on a regular basis and record the answers. GeoRankScore does this automatically every week: it puts real questions to 5 AI engines, detects you and your competitors, and produces your score.

No. There is no ad slot to buy in AI recommendations, and no tool can guarantee "pay us and you’ll be recommended." What you can do is become stronger and more readable in the sources AI draws on. That is exactly what GeoRankScore measures and manages.

GEO is the practice of optimizing your content, data and brand signals so generative AI like ChatGPT, Gemini and Perplexity recommend you. Instead of a spot on Google’s results page, it targets existing inside the AI chat answer itself.

SEO aims to rank high in Google results. GEO aims to get recommended in AI answers. AEO focuses on producing short, clear answer blocks that AI can quote verbatim. The three complement each other — and the weight is shifting fast toward GEO.

Google gives you ten links and you make the choice. AI gives one answer and makes the choice for you. That’s why there’s no such thing as "being on page 3" in AI search: you’re either in the answer or you’re not.

Yes. For local business recommendations, AI engines draw on sources like your Google profile, reviews and map data. A missing or neglected profile directly lowers your AI visibility.

With the right steps, showing up in the first engines usually takes 2–6 weeks, and lasting, broad visibility 8–12 weeks. Because AI models refresh their sources periodically, change arrives gradually — which is why weekly measurement is essential.

llms.txt is a file at the root of your site that gives AI crawlers a plain-text summary of your business. It isn’t mandatory, but it makes it easier for AI to understand you correctly. GeoRankScore generates your llms.txt file for you automatically.

Yes. It’s measured by putting the same questions to the same engines regularly and scoring the answers: how many engines recommended you, in what position, who pulled ahead. GeoRankScore turns this into a single 0–100 score and tracks its weekly change.

Agencies typically deliver this work as a monthly retainer running into the hundreds of dollars, usually on a committed contract. GeoRankScore delivers the same measure-diagnose-fix loop as software, on a monthly subscription, with no commitment. See the pricing page for current rates.