GEO Robots.txt Checker
Check whether your robots.txt is ready for Generative Engine Optimization. Instantly see which AI search and training bots can access your site.
What is Generative Engine Optimization (GEO)?
GEO is the practice of optimising your website so it can be discovered, cited and quoted by AI-powered search engines and chat assistants — ChatGPT, Claude, Perplexity, Google AI Overviews, Meta AI and more. The first prerequisite is that these bots must be allowed by your robots.txt.
This checker inspects 19 bots that matter for GEO — including AI training crawlers (GPTBot, ClaudeBot, Google-Extended), AI search crawlers (OAI-SearchBot, PerplexityBot, Claude-SearchBot), user-triggered fetchers (ChatGPT-User, Claude-User) and classic search crawlers (Googlebot, Bingbot) — and shows exactly which ones your site allows.
Bot Reference
Main Google search crawler — never block this.
Controls whether Google uses your content to train Gemini / Bard.
OpenAI crawler used to gather content for training GPT models.
OpenAI crawler that powers ChatGPT search results and citations.
Fetches URLs on demand when a user asks ChatGPT to visit a page.
Anthropic crawler used to gather content for training Claude.
Anthropic crawler for Claude web search results.
On-demand fetch when a Claude user shares or requests a URL.
Perplexity crawler powering their AI answer engine.
User-triggered fetch inside Perplexity conversations.
Meta crawler for Meta AI, Llama training and product features.
Controls whether Apple can use your content for Apple Intelligence training.
Amazon crawler used for Alexa and other AI features.
ByteDance / TikTok crawler used to train Doubao and related models.
Common Crawl — an open dataset used by almost every LLM at some point.
Frequently Asked Questions
About This GEO Robots.txt Checker
This checker was built specifically for SEO and content teams working on Generative Engine Optimization. Instead of manually reading a robots.txt file and cross-referencing bot names, you get an instant, colour-coded verdict for the 19 crawlers that matter — including the classic ones (Googlebot, Bingbot) and every relevant AI search/training bot from OpenAI, Anthropic, Google, Meta, Apple, Amazon, ByteDance, Perplexity and Common Crawl.
The parser follows the Google-style robots.txt evaluation: substring-based user-agent matching, longest-rule-wins on path evaluation, and wildcard fallback to User-agent: *. It also detects the emerging Content-Signal directive and lists every declared Sitemap: reference.