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AEO / GEO Readiness Checker & AI Visibility Score

Audit whether your website is ready to be cited by Perplexity, ChatGPT, Claude, and Gemini. Test your llms.txt, AI crawler permissions, schema markup, and live LLM visibility.

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How Generative Search Engines (AEO/GEO) Evaluate Websites

Unlike traditional Google Search that ranks pages by backlinks and keyword density, Answer Engines synthesize direct answers by extracting factual data nodes from machine-readable web signals.

1. Structured Markdown (/llms.txt)

LLMs prefer concise, noise-free Markdown summaries. Exposing an llms.txt protocol at your site root gives AI models an authoritative blueprint.

2. AI Crawler Permissions

Blocking GPTBot or ClaudeBot in robots.txt cuts off real-time search indexing. Allowlisting AI crawlers ensures real-time answer citations.

3. Direct Entity Grounding

Embedding Schema.org JSON-LD and direct question/answer pairs allows LLMs to quote exact facts and eliminate hallucination errors.

Frequently Asked Questions about AEO & GEO

Everything you need to know about optimizing your site for the era of generative AI search.

What is AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization)?

AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) are the practices of optimizing website structure, factual data, and machine-readable protocols so that generative AI models (ChatGPT, Perplexity, Claude, Google AI Overviews) can easily discover, extract, and cite your content as an authoritative answer.

Why is the llms.txt file standard important for AI search engines?

The llms.txt standard provides AI crawlers with a lightweight, clean Markdown summary of your product, documentation, and core links at your site root (/llms.txt). It allows LLMs to rapidly understand your offerings without parsing complex JavaScript or bloated web code.

Which AI crawlers should I allow in my robots.txt file?

To maximize visibility across generative search engines, you should allow: GPTBot & ChatGPT-User (OpenAI), ClaudeBot & Claude-Web (Anthropic), PerplexityBot (Perplexity AI), Google-Extended (Google Gemini), and Applebot-Extended (Apple Intelligence). Restricting these bots prevents your website from being cited in real-time answers.

How does JSON-LD structured data help LLMs cite my brand accurately?

Structured data schemas (such as Organization, FAQPage, WebApplication, and Article) provide standardized entity metadata. LLMs parse these JSON-LD blocks to identify authoritative definitions, pricing, founders, and direct answers with near-zero hallucination risk.

Why is server-rendered HTML (SSR) better for AI crawlers than client-side JavaScript?

Many high-volume AI crawlers (like GPTBot and CCBot) fetch raw HTML text without executing heavy JavaScript rendering engines to conserve compute. If your key product value proposition only exists after client-side JS hydration, AI crawlers may index an empty shell.