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AI search engines like ChatGPT, Perplexity, and Google AI Overviews read your pages differently than traditional web crawlers. Inspect any URL to see your AI readability score, what content AI can extract, and what's blocking citations.
🤖 Try the free AI Page Inspector →An AI page inspector analyzes your webpage the way large language models and AI search engines see it — not how a human reads it. AI crawlers like GPTBot (OpenAI), ClaudeBot (Anthropic), PerplexityBot, and Google's extended crawl infrastructure extract text, identify key entities, assess structured data, and evaluate content clarity before deciding whether to cite your page in AI-generated answers.
Traditional SEO focuses on satisfying Googlebot. GEO (Generative Engine Optimization) focuses on satisfying AI systems that synthesize information and surface sources in their responses. An AI page inspector bridges the gap — helping you understand whether your content is crawlable by AI bots, structurally clear enough for LLMs to summarize, and authoritative enough to be cited rather than paraphrased without attribution.
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Google's AI Overviews now appear on over 30% of searches, sitting above the first organic result. Pages cited in AI Overviews see dramatically higher impressions even as traditional click-through rates change. Getting cited requires clear, factual, well-structured content.
Both ChatGPT's web browse mode and Perplexity actively crawl pages to answer user queries with citations. If your page blocks GPTBot or PerplexityBot in robots.txt, or if the content is buried in JavaScript that AI crawlers can't execute, you're invisible to these platforms.
AI systems prefer pages with clear headings (H2/H3), short paragraphs, explicit answers to questions, and factual statements with supporting detail. Walls of unbroken text, marketing jargon, and keyword-stuffed copy are harder for LLMs to extract useful information from.
AI models build knowledge graphs around entities — people, places, products, concepts. If your page clearly defines and links entities (using schema.org markup or plain clear language), AI systems are more likely to associate your domain with those topics and cite you when they're relevant.
Paste any public URL. The tool fetches your page as AI crawlers would and extracts the text content, structure, and metadata.
The inspector returns a score based on content clarity, structural quality, heading hierarchy, and AI-crawler accessibility. Scores below 60 indicate significant friction for AI citation.
See the actual content summary an LLM would generate from your page, plus which sections are most extractable and which are opaque.
The tool generates a prioritized list of improvements — from blocking bot issues (high priority) to content structure improvements (medium priority) to schema additions (low priority).
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Yes and no. The fundamentals overlap — clear content, good structure, strong authority — but AI search optimization (GEO) also requires ensuring AI crawlers are not blocked in robots.txt, that content is easily summarizable, and that factual claims are specific enough for AI systems to cite accurately. AI systems also favor FAQ formats, comparison tables, and direct definitions.
ChatGPT's web browse mode and the Bing-powered knowledge graph favor pages that: (1) explicitly answer a question in the first paragraph, (2) use clear heading structure, (3) have strong domain authority, (4) allow GPTBot in robots.txt, and (5) load without requiring JavaScript execution. Our AI Page Inspector checks most of these factors automatically.
Blocking AI crawlers prevents your content from being used to train AI models, but it also prevents citation in AI-generated search results. Most publishers face a trade-off. If your goal is organic reach through AI Overviews and Perplexity citations, allow reputable AI crawlers (GPTBot, PerplexityBot, ClaudeBot). If protecting training data is the priority, you can selectively block training-focused crawlers while allowing retrieval-focused ones.
Yes. Schema.org markup (especially Article, FAQPage, HowTo, Person, Organization, and Product schemas) provides structured signals that AI systems can parse reliably. A FAQPage schema on a support article, for example, makes it easy for Google AI Overviews to surface that content as a direct answer. Use the meta tag checker to verify your schema is valid.
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