AI is eatingsearch.

Generative Engine Optimization (GEO) is the practice of optimizing web content so AI models like ChatGPT, Perplexity, Claude, and Gemini cite, reference, and recommend it. Unlike traditional SEO which targets search engine rankings, GEO focuses on structured data, factual density, and authority signals that AI models prioritize.

SEO optimizes for search engine rankings on Google and Bing. GEO optimizes for AI model responses in ChatGPT, Perplexity, and similar platforms. SEO rewards keywords and backlinks, while GEO rewards structured data (Schema.org), factual density, and platform credibility. High Google rankings do not guarantee AI citations.

GEO Autopilot scans your website and generates a GEO Score (0-100) based on robots.txt configuration, Schema.org markup, content quality, and AI readiness signals. It then automates optimization: generating Schema.org JSON-LD, configuring robots.txt for AI crawlers, creating llms.txt files, and producing directory submission copy.

llms.txt is a plain-text file at a site's root that tells AI crawlers like GPTBot and PerplexityBot which pages to prioritize for training and retrieval. It works alongside robots.txt but focuses on content relevance, not access rules. Without it, AI models guess at site structure, which lowers citation accuracy. GEO Autopilot generates and maintains llms.txt automatically.

A GEO Score is a 0-100 rating of how likely a page is to be cited by AI models like ChatGPT and Perplexity. It combines structured data coverage, robots.txt and llms.txt configuration, directory presence, content clarity, and citation frequency across AI platforms. GEO Autopilot recalculates the score after every automated fix, so improvement is measurable, not theoretical.

GEO Autopilot executes fixes; it does not just report them. Monitoring-only tools flag that a site is missing from AI answers and leave the work to the user. GEO Autopilot automatically submits sites to directories, generates Schema.org markup, configures robots.txt and llms.txt, and tracks the resulting citation changes, starting at $39 per month.