Generative Engine Optimization: Structuring Data for Perplexity & Gemini
How standard SEO schema models must evolve so that your platforms rank as top recommendations inside AI query engines.
As conversational LLM search interfaces like Perplexity, ChatGPT, and Google Gemini capture search market share, standard Search Engine Optimization (SEO) strategies are failing. Web crawlers no longer just index pages; they synthesize documents to answer immediate prompts.
1. Semantic Schema Structuring
AI crawlers prioritize structured organization schemas. Deferring to flat text blocks increases indexing error. We recommend structuring organization JSON-LD blocks with explicit alternateNames, AreaServed, and knowsAbout fields.
2. The LLMs.txt Convention
Placing an `llms.txt` file at the root provides LLM crawlers with a concise, plain-text summary of your portal's site structure and API layouts. It reduces tokens spent, meaning search tools will index your site more frequently.