Guide
LLM SEO: One Playbook for All AI Search Engines
LLM SEO covers ranking across ChatGPT, Claude, Gemini, Llama, Perplexity. What all LLMs share, what each weights differently, and Pinealizer scan.
LLM SEO is the practice of optimizing your website to be cited by any Large Language Model - ChatGPT, Claude, Gemini, Llama, Mistral, Perplexity. Each has quirks, but 80% of the playbook is shared. Master the core, tune the edges.
Every LLM rewards the same foundation: clean structured data (Schema.org), factual density with inline sources, clear author/publisher credibility, fast-loading accessible HTML. On top of that, each LLM has a training-source bias. Pinealizer scores your site across 8 LLM-specific modules and gives per-engine fix lists.
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FAQ
Frequently Asked
Optimizing your site so Large Language Models (ChatGPT, Claude, Gemini, etc.) cite your brand in generated answers. Subset of AIO/GEO with broader scope.
Focus on the shared 80%: Schema.org markup, fact density, source transparency, E-E-A-T signals, clean HTML. Then tune per-engine quirks based on Pinealizer's per-LLM scores.
Some do (ChatGPT browsing, Perplexity), others rely on training snapshots (base ChatGPT, Claude base). Optimize for both: cleaner training data + crawlable live site.
Not replace - absorb. Google SEO basics (speed, HTML, schema) are requirements for LLM SEO too. Add on top, don't remove.
Ready?
One scan. All LLMs covered.
Pinealizer's free scan rates your readiness across ChatGPT, Claude, Gemini, Perplexity, and more. 30 seconds, no signup.