LLM SEO tool for ChatGPT, Gemini, and AI Overviews
Find the questions AI systems answer about your market, inspect the pages they cite, and build content that gives models cleaner context.
Preview the visibility workflow
LLM SEO is not just keyword tracking. It blends entity clarity, cited sources, prompt coverage, and answer quality into one repeatable workflow.
What to review
- LLM prompt map
- AI citation review
- Entity clarity checks
- Content gap scoring
- Source quality notes
- Briefs for writers
Where to start
- Choose a topic, product, or competitor.
- Scan answer patterns and cited pages.
- Publish sharper pages and monitor mention changes.
Who this helps
- SEO teams adapting existing content
- Content leads planning authority pages
- B2B marketers tracking ChatGPT recommendations
Questions about this approach
It helps teams understand how large language models mention, cite, and compare brands across prompts.
No. It adds AI answer visibility on top of technical SEO, content quality, and authority work.
You can track prompts and answer patterns, but AI answers vary. Treat them as visibility signals, not fixed positions.
Clear product pages, comparison pages, glossary pages, data-backed guides, and pages that answer buyer prompts directly.
Citations show which sources AI systems trust for a topic. They reveal pages to update and publications to earn mentions from.
Start with prompt themes, brand mentions, competitor mentions, cited sources, sentiment, and missing product facts.
Put the guide to work