The AI SEO tool that gets your site cited in AI search

AI SEO is the practice of optimizing your site so AI answer engines like ChatGPT, Perplexity, Gemini, Google AI Overviews and Microsoft Copilot can find, understand, cite, and recommend you when people ask questions in your category. Classic SEO targets a position in Google's list of blue links. AI SEO targets a spot inside the AI-generated answer itself, which is a separate surface that traditional rank trackers cannot see. It overlaps with the disciplines people call generative engine optimization (GEO) and answer engine optimization (AEO).

Traditional SEO optimizes for a ranked list a human scrolls through, where ten links compete and clicks are the goal. AI SEO optimizes for a single synthesized answer where the model picks a handful of sources to quote and most users never click out at all. The signals overlap but diverge: AI SEO weights liftable, quotable passages, named statistics, entity consistency, schema, and crawlability for AI bots, and it cares which third-party sources cite you, not just your own pages. Onely found that roughly 73% of brands get zero AI mentions despite ranking on Google page one, which is the gap AI SEO exists to close.

They are closely related and the terms are often used interchangeably. Generative engine optimization (GEO) and answer engine optimization (AEO) both describe getting cited and recommended inside AI-generated answers, which is exactly what AI SEO covers. We treat AI SEO as the broad umbrella and use GEO and AEO for the same underlying work. Our guide on GEO versus SEO versus AEO breaks down where the lines fall if you want the precise distinctions.

It runs the real buyer questions your customers ask AI, repeats each prompt across all five engines because AI answers are non-deterministic, then parses the structured responses for citations, mentions, and recommendations. You get one AI SEO score from 0 to 100 with a confidence interval, the prompts you win or lose, the source URLs each engine cited, your competitor share of voice, and a prioritized fix list. It is the measurement layer that tells you whether your AI SEO work is actually landing.

Five: ChatGPT through OpenAI web search, Perplexity, Gemini, Google AI Overviews, and Microsoft Copilot through Bing Copilot Search. Each engine sources and cites differently, so good AI SEO is per-engine work. A page that Perplexity loves can be invisible on ChatGPT, and a brand Google AI Overviews surfaces might never appear in Copilot. The tool measures all five so your AI SEO targets the engines where you are actually weak.

The reliable moves are concrete. Allow the AI crawlers in robots.txt, because an engine that cannot reach a page cannot cite it. Lead each section with a direct, liftable answer of roughly 40 to 80 words so the model can quote you cleanly. Back claims with named statistics and sources, the single most citation-friendly thing you can do. Use question-style headings, add schema, and publish an llms.txt. A Princeton study on generative engine optimization reported that source-led and statistic-led tactics lifted visibility in AI answers by roughly 30 to 40 percent, so the gains are measurable.

Yes, but it is necessary rather than sufficient. Engines that ground answers in a search index, like Google AI Overviews, Gemini, and Copilot, still pull from pages that rank and are crawlable, so your classic SEO foundation feeds them. But ranking no longer guarantees a citation: an AirOps study covered by Search Engine Land found only about 15% of the pages an AI retrieves end up cited in the final answer. AI SEO is the layer on top that turns a crawlable, ranking page into a quoted source.

Yes. The instant check needs no signup and no card: enter a domain and get a real AI SEO score across all five engines, your per-engine breakdown, and your top competitor. The paid plans add continuous weekly monitoring, repeated-sampling precision, tracked prompts, history, alerts, and the full prescriptive fix list, so you can run AI SEO as an ongoing program instead of a one-off audit.

It varies by engine and by how often the model refreshes its sources. Engines that retrieve the live web, like Perplexity, can reflect a new page within days once it is crawled and cited elsewhere. Engines that lean on a slower index or training data move more gradually. Because the answers also drift as models update, you should treat AI SEO as continuous rather than a one-time fix. The monitor samples over time so you can tell a real gain from normal day-to-day noise.

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 deliver AI SEO monitoring and reporting for a full roster of clients under your own brand instead of stitching together manual prompt checks.