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Optimize websites for AI search engines (ChatGPT, Perplexity, Gemini, Copilot, Claude) and traditional search. \n \n Covers both GEO (Generative Engine Optimization) for AI search engines and traditional SEO for Google/Bing, with platform-specific strategies for each engine \n Includes 9 Princeton GEO methods with documented visibility boosts, schema markup templates (FAQPage, Article, Product, Organization), and meta tag optimization \n Provides audit workflows for technical SEO, keyword resear

Optimization framework for getting your content cited by AI search engines like ChatGPT, Claude, and Perplexity. \n \n Covers RAG retrieval factors (semantic relevance, authority signals, freshness) that determine which content AI engines select and cite \n Provides a content checklist including question-based titles, original data, expert quotes, FAQ sections, and structured schema markup \n Includes guidance on entity building, AI crawler access control (GPTBot, Claude-Web, PerplexityBot), and

Brand mentions correlate 3x more strongly with AI visibility than backlinks. (Ahrefs December 2025 study of 75,000 brands)

The Gene Expression Omnibus (GEO) is NCBI's public repository for high-throughput gene expression and functional genomics data. GEO contains over 264,000 studies with more than 8 million samples from both array-based and sequence-based experiments.

Optimize content for AI citations across ChatGPT, Claude, Perplexity, and Google systems. \n \n Enhances content with quotable statements, structured Q&A, precise statistics with sources, and expert attribution to increase citation frequency across major AI engines \n Applies CORE-EEAT GEO-First optimization targets (definitions, authority signals, factual density, FAQ schema) prioritized by each AI system's preferences \n Produces a GEO readiness score, before/after comparison, rewritten c

Optimization for AI-powered search engines.