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Generative Engine Optimization (GEO) is the technical and editorial practice of structuring web content with high Information Gain, quantitative statistics, self-contained 45–55 word answer capsules, Entity JSON-LD, and /llms.txt files so Large Language Models (ChatGPT Search, Perplexity, Google AI Overviews, Claude) cite and recommend your brand.
2026 Industry Benchmark: Top-quartile GEO pages include at least 1 verifiable data point every 150 words and maintain a GEO Readiness Score above 75/100.
A SaaS product page that replaces a 200-word generic introduction with a 48-word definitional lead, adds a 2026 industry benchmark table, publishes /llms.txt, and allows OAI-SearchBot increases its AI citation probability from 18% to 74%.
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Optimize articles and landing pages for Generative Engine Optimization (GEO) to boost citations in Perplexity, ChatGPT Search, and Gemini.
Audit your brand and domain visibility across ChatGPT Search, Google AI Overviews, Perplexity AI, Claude, Gemini, and Microsoft Copilot.
Generate a standard /llms.txt and /llms-full.txt markdown file so ChatGPT, Perplexity, and Claude index your site accurately.
Audit and generate robots.txt directives for OpenAI (OAI-SearchBot, GPTBot), PerplexityBot, ClaudeBot, and Google-Extended.