AI-SEO / GEO Checker
Paste any URL and get a research-backed GEO score for how well the page is set up to be cited by ChatGPT, Perplexity, Google AI Overviews, and Copilot. Powered by the HTML API, Markdown API, and Brand API.
Paste any URL to get a research-backed GEO score showing how well it's optimized for ChatGPT, Perplexity, and Google AI Overviews.
Heads up: GEO is a new field and it moves fast. These guidelines come from current research and industry studies (Princeton/Georgia Tech GEO study, Ahrefs, Wix Studio) and will change as AI search engines and their crawlers change. Treat the score as a directional signal, not a fixed standard.
What is AI-SEO / GEO?
AI-SEO (also called GEO, AEO, or LLMO) is the practice of optimizing content so AI search engines will cite it. It's a different problem from traditional SEO. Only 12% of URLs cited by AI assistants rank in Google's traditional top 10, and 86% of top-mentioned sources don't overlap between ChatGPT, Perplexity, and Google AI features. The signals AI models actually use to pick citations, things like structured extractability, factual density, schema markup, and brand mentions across the web, don't map cleanly onto PageRank or backlinks.
Why GEO matters in 2026
Brand mentions across the web correlate with AI visibility at r=0.664, while backlinks correlate at only r=0.218. Content with strong GEO signals earns 3× higher citation rates from ChatGPT and Perplexity. And 60% of AI searchesend without a click to any external website, so if you're not in the citation, you may as well not exist. The visitors who do click through convert much better than traditional search traffic: ChatGPT referrals show 15.9% conversion rates versus about 1.76% for Google organic.
How the score is calculated
The GEO score combines research-backed checks across 5 categories: Content Structure, Schema Markup, Content Quality, Technical, and Freshness. The rules come from the Princeton/Georgia Tech GEO study (ACM SIGKDD 2024), Ahrefs' analysis of 17 million AI citations, and Wix Studio's study of over 75,000 AI answers. Each check shows the exact signal, a pass/fail status, a plain-language reason, and clickable links back to the source research. A score of 80+ (Grade B) is strong. 60 to 79 (C/D) means partial optimization. Below 60 (F) means the page is effectively invisible to AI search. Checks that only make sense for editorial content (author bylines, Article schema, outbound citations) are marked "N/A" on landing, product, and pricing pages so you don't get penalized for things that don't apply.
When to use this tool
- You're a content or SEO lead and want to audit whether your pages are AI-search-ready before competitors catch up
- You're debugging why your site isn't being cited by ChatGPT or Perplexity when competitors are
- You're checking a competitor's page to see what schema, metadata, and structure they're using
- You want a prioritized, agent-ready fix list you can hand to Cursor, Claude Code, or any AI coding agent
- You want to verify that your llms.txt and robots.txt are set up correctly for AI crawlers like GPTBot, ClaudeBot, and PerplexityBot
A note on methodology
GEO is a new field. The research we cite is typically 6 to 18 months old, the AI models update monthly, and the crawlers change their behavior without notice. Every check in this tool links out to its source so you can audit the claim. Expect the scoring criteria, point weights, and even the list of checks to change as new studies come out. If you spot a rule that's drifted out of date, let us know.
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