Glossary
LLM SEO
Think distribution plus factual clarity inside model outputs, not keyword density on a page alone.
Measure with LLM-Score, Share of Voice, and snapshots.
Definition
LLM SEO is the set of content, technical, and authority tactics aimed at influencing how large language models mention, rank, or cite your brand inside their generated answers. It spans site structure (schema, llms.txt), third-party corroboration, and product copy that models can reuse faithfully. It is not a replacement for classic SEO, but overlap is large: pages that are clear for humans tend to be clear for models.
How it's computed
Progress is measured indirectly: run a brand visibility check with a fixed prompt pack, then compare dated snapshots. Rising correct mentions and citations mean LLM SEO is working; rising mentions with errors mean you need grounding fixes, not more volume.
How to read it
LLM SEO is healthy when multiple models agree on facts about you and your sentiment scoring stays neutral or positive under fanout queries. One-model wins are fragile.
LLM SEO vs GEO
GEO is the trendy label for generative engines. LLM SEO is the plainer practitioner term. Use whichever your stakeholders understand.
When to use
- Agency retainers that bundle classic SEO with AI visibility.
- PR FAQs designed to reduce model confusion.
- Pitch decks when “GEO” sounds too buzzword-heavy.