The Generative Engine Optimization tool that scores how AI cites you

Generative engine optimization, or GEO, is the practice of getting your brand cited, mentioned, and recommended inside the answers that generative AI engines produce, rather than just ranking in a list of blue links. Where classic SEO optimizes for a position on a results page, GEO optimizes for being the source the model quotes when someone asks ChatGPT, Perplexity, Gemini, Google AI Overviews or Microsoft Copilot a question in your category. The two overlap but are not the same, and a strong Google rank no longer guarantees the AI names you.

A GEO tool measures and improves your standing inside AI answers. It runs the real questions your buyers ask, samples them across the major engines, and reports how often you are cited or recommended versus invisible, which competitors win the prompts you lose, and which sources each engine trusted. Then it turns that into a prioritized list of GEO moves: the pages to publish, the statistics and citations to add, the schema to ship, and the crawler rules to fix. In short, it gives you a number to move and a ranked list of what moves it.

It builds the buyer questions for your category, runs each one live against all five engines, and repeats every prompt so the result accounts for the fact that AI answers are non-deterministic. It parses each response for citations, mentions, and recommendations, then reports a 0 to 100 GEO score with a confidence interval, your cite rate per engine, your share of voice against named competitors, and the exact source pages the engines pulled from. You can read the full approach on the methodology page.

Because generative engines are non-deterministic: ask the same question twice and the answer can change. A single run is a snapshot, not a fact, so reporting one bare number sells noise as signal. The tool samples each prompt multiple times and reports an honest range instead. A GEO score of 58 with a tight interval means something very different from a 58 with a wide one, and when the sample is too small to be meaningful the tool refuses to show a score rather than guess.

SEO works to rank a page in the list of organic links. GEO works to get your brand named or cited inside the AI-generated answer that increasingly sits above those links. They share foundations like crawlability and authority, but they diverge on what wins: AI engines reward direct, liftable answers, named statistics, citations, and consistent entity signals across the web. Onely reports that roughly 73% of brands get zero AI mentions despite ranking on Google page one, which is the clearest sign the two channels have split.

Five: ChatGPT through OpenAI web search, Perplexity, Gemini, Google AI Overviews, and Microsoft Copilot through Bing Copilot Search. They retrieve and cite very differently, so the tool measures each one separately and then blends them into a single GEO score. Optimizing only for one engine gives you a distorted view, because a brand that dominates Perplexity can be completely absent from Copilot.

The ones with evidence behind them. A Princeton study on generative engine optimization found that adding citations, quotations and statistics to a page can lift its AI visibility by roughly 30 to 40%. On top of that: let the AI crawlers in so engines can reach your pages, lead each section with a direct 40 to 80 word answer the model can lift cleanly, use question-style headings, keep your entity facts consistent across the web, add schema, and publish an llms.txt. The tool ranks which of these to do first for your specific gaps.

Yes. The instant check needs no card and no signup: enter a domain and get a real GEO score across all five engines, your per-engine cite rate, and your top competitor. The paid plans add continuous weekly monitoring, repeated-sampling precision, more tracked prompts, history, alerts, and the full prioritized list of GEO moves.

Faster than classic SEO in some cases and slower in others, because it depends on how engines retrieve in your category. Earning a citation on a live-retrieval engine like Perplexity can move within days of publishing a strong, sourced page, while engines that lean on a slower index take longer. The honest answer is that GEO is continuous: models update, competitors publish, and your standing drifts, which is why the tool monitors over time instead of treating one check as the finish line.

Yes. The Agency plan gives you ten client workspaces, all five engines, two hundred tracked prompts, branded PDF reports, API access, and per-client seats, so you can run generative engine optimization for a full roster of clients under your own brand and report the GEO score movement back to each one.