Free AI Search Optimization Checker
Enter any webpage URL to see whether it's set up to be found, understood, and cited by ChatGPT, Perplexity, Gemini, and Google AI Overviews.
This tool analyzes your site's own AI-citation signals, structured data, crawler access, answer-style content, trust signals. It does not measure whether ChatGPT or any AI tool currently mentions your brand. No tool, including this one, can promise you'll be quoted by an AI model.
Analyzing your page for AI search readiness…
Checking crawler access, structured data, and content signals
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This score reflects how well this page gives AI systems what they need to find, understand, and cite it. It is not a measurement of current AI mentions or a ranking guarantee.
Top AI Visibility Issues To Fix
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Free AI Search Optimization Checker by Belman & Co.
Your Site Can Be AI Ready And Still Not Get Cited
This checker shows what's fixable on your own site. Whether AI tools are actually mentioning your brand today, and what it would take to change that, is a deeper question. Belman & Co. offers a full AI search audit that checks both.
Get A Full AI Search AuditWhat An AI Search Optimization Checker Actually Checks
AI tools like ChatGPT, Perplexity, and Google's AI Overviews don't crawl and rank pages the way traditional search engines do. They pull from sources they can access, trust, and extract clear answers from. This tool reads a page the way an AI crawler would and reports on the signals that make a page easier to find, understand, and cite, or that quietly block it from being seen at all.
- AI crawler access is checked first, because a page can have perfect content and still be invisible to AI tools if robots.txt is quietly blocking GPTBot, ClaudeBot, or PerplexityBot.
- An llms.txt file is an emerging standard some AI systems check for a clear, plain language summary of a site, similar in spirit to a sitemap but written for AI rather than search engines.
- Structured data (schema) gives AI systems explicit, machine readable facts, like business type, location, FAQs, and reviews, instead of making them guess from prose.
- Answer-style content, questions phrased as headings followed by direct, concise answers, is far easier for an AI system to extract and quote than a long narrative paragraph.
- Trust and authorship signals, like author names, an About page, and visible contact information, help AI systems decide whether a source is credible enough to cite.
- Specific proof, named case studies, real numbers, and direct testimonials, gives AI systems something concrete to reference instead of generic marketing language it's more likely to paraphrase away entirely.