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Glossary

LLM SEO

LLM SEO is optimization work aimed at making large language models mention and cite your brand correctly in their generated answers.
  • 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.

Quarterly execution example

MonthMention shareCorrectnessOwned citation share
M126%63%14%
M231%70%19%
M336%76%25%

This pattern indicates real LLM SEO progress, not one-off PR spikes.

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.

KPI trio for LLM SEO

  1. Mention share trend
  2. Correctness trend
  3. Citation quality trend

All three should move together for durable gains.

How it works in practice

Typical workstream split

StreamDeliverables
Technicalcrawl access, canonicals, schema hygiene
Contentanswer-first rewrites, factual tables, FAQs
Authoritythird-party expert references and citations
Measurementweekly snapshots and prompt diagnostics

Treat LLM SEO as cross-functional ops, not only content production.

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.

First month playbook

  1. Run a baseline with fixed prompt pack.
  2. Patch top 10 factual gaps in money pages.
  3. Publish one authority asset with original data.
  4. Track weekly and separate noise from trend.

Readiness bands

StateTypical pattern
Earlymentions improve but correctness unstable
Developingboth mentions and correctness rise
Maturecitation quality rises with stable sentiment

If correctness lags while mentions rise, fix grounding before scaling traffic.

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.