Know if AI crawlers can even reach you
Most sites never check whether GPTBot, ClaudeBot, and PerplexityBot are allowed in. We check your robots.txt and llms.txt against the current AI crawler allow-list.
Most sites have structural gaps that keep AI tools from citing them. See yours in 2 business days.
Whether AI crawlers can even reach you
robots.txt and llms.txt checked against the current GPTBot, ClaudeBot, and PerplexityBot allow-list.
Who gets cited today
We ask ChatGPT, Perplexity, and Google AI Overviews your category's real questions and note who they cite.
What to fix first
A prioritized list, not a 40-point scorecard, ranked by what's actually stopping citations.
The report is yours either way. We'll flag our AI Search Visibility service only if the findings support it.
Direct answer
A free AI discoverability review is a manual audit of a website that checks whether AI crawlers (GPTBot, ClaudeBot, PerplexityBot) can access it, whether the content is structured for AI citation, and whether ChatGPT, Perplexity, and Google AI Overviews currently cite the brand for real category questions. RaftLabs's growth marketing team runs the review by hand and replies with a prioritized fix list within 2 business days.
How it works
Not a list of problems. Each finding is tied to a specific reason AI systems skip a page, so you know what to fix first.
Most sites never check whether GPTBot, ClaudeBot, and PerplexityBot are allowed in. We check your robots.txt and llms.txt against the current AI crawler allow-list.
We ask ChatGPT, Perplexity, and Google AI Overviews your category's real questions and note who they cite: you, or a competitor.
Missing schema, no answer-first paragraphs, thin entity signals: the specific reasons AI systems skip a page even when the content itself is good.
Findings ranked by what's actually stopping citations, not a generic 40-point checklist you have to triage yourself.
A 2024 Princeton/Georgia Tech study tested nine AI-visibility tactics across 10,000 queries. Our review is built around the ones that measurably moved the needle.
The report is yours regardless. If the findings point to a real gap, we'll say what closing it looks like; you decide if and when.
After reviewing sites across categories, the same structural gaps show up over and over. Here's what keeps AI tools from citing a brand even when the content itself is solid.
A robots.txt written for search engines years ago often blocks or throttles GPTBot, ClaudeBot, and PerplexityBot by accident. If the crawler can't read the page, no amount of good content gets cited.
A growing number of AI systems check for a machine-readable company summary before crawling further. Without one, the model infers what you do from scattered pages, and often gets it wrong.
AI models cite the passage that answers a question most directly. When the answer is buried under scene-setting, a competitor's page that leads with the answer gets cited instead.
'We help a lot of businesses' doesn't get repeated by an AI model. Specific, sourced numbers do; statistics-first writing is one of the few GEO tactics with measured impact.
No FAQ schema, no Organization schema, no structured data connecting the pages that should reinforce each other. AI systems can still read the page, but extraction stays probabilistic instead of reliable.
Perplexity leans heavily on Reddit citations; ChatGPT leans heavily on Wikipedia. A site can be well optimized on-page and still be invisible if the brand has no footprint on the sources these models pull from.
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Send your URL. We check crawler access, structure, and who's currently getting cited for your category questions, then reply with what we'd fix first.