Guide for LLM mentions, citations, and prompt coverage
This workflow helps teams understand how AI systems read a market, select sources, and describe brands inside answer experiences.
Plan the page cluster
Classic SEO tells you where a page ranks. LLM SEO asks whether assistants can explain your product, cite useful sources, and compare you fairly.
What to review
- Prompt research
- Entity and schema cleanup
- Citation source planning
- Comparison page strategy
- Answer quality review
- Visibility reporting
Where to start
- Group prompts by buyer intent.
- Audit the sources AI systems cite today.
- Build pages that answer the missing prompts clearly.
Who this helps
- SEO teams adding AI reports
- Product marketers creating comparison pages
- Content teams turning prompts into briefs
Questions about this approach
It is the work of improving how large language models understand, mention, and cite a brand.
No. It covers ChatGPT, Gemini, Claude, Perplexity, AI Overviews, and other AI answer systems.
Clear entities, useful sources, consistent product facts, comparison coverage, schema, and third-party mentions matter.
Yes. Track prompt coverage, brand mentions, source citations, sentiment, and competitor co-mentions.
GEO is the broader category. LLM SEO is the practical SEO workflow for AI answer systems.
Put the guide to work