What is GEO?
Generative Engine Optimization (GEO) is the practice of shaping content, entities, and third-party signals so generative AI engines describe, cite, and recommend a brand accurately inside their generated responses.
Who it's for
- Brands whose category is already answered by ChatGPT
- SaaS, agencies, and consultants competing on 'best X' queries
- Founders whose customers now research via LLMs first
Outcomes to expect
- Consistent, favourable brand descriptions inside LLM answers
- Presence inside 'best of', 'alternatives to', and 'top X' queries
- A defensible entity footprint across web and structured data
Topic cluster
Articles coming soonThe supporting topics that will link back to this pillar. Each will publish as a dedicated article under /blog.
- 01informational
GEO vs AEO vs SEO — the differences that matter
Overlap, gaps, and how each is measured.
- 02informational
How LLMs choose which brands to recommend
Training data, retrieval, and citation graphs.
- 03informational
Entity optimization — Wikipedia, Wikidata, and beyond
Building a machine-readable brand.
- 04informational
Third-party signals that move LLM answers
Reviews, listicles, and comparison pages.
- 05informational
A GEO measurement framework
Prompt sets, sampling, and share of voice.
- 06informational
GEO crisis management — when LLMs get it wrong
Correcting hallucinations at the source.
Frequently asked
What is GEO in marketing?
GEO stands for Generative Engine Optimization. It is the practice of shaping how large language models — ChatGPT, Gemini, Claude, Perplexity — describe, cite, and recommend a brand in their generated answers. Unlike SEO, it optimises the answer itself, not the ranking.
GEO vs AEO — are they the same?
They are close cousins. AEO focuses on being cited inside AI answers, mostly via retrieval. GEO focuses on how the model describes and recommends you — combining retrieval signals with brand-level entity work and third-party mentions.
How do I measure GEO performance?
Build a prompt set — the 30 to 50 queries your customers actually ask LLMs — and sample answers weekly across ChatGPT, Gemini, Claude, and Perplexity. Track brand mention rate, sentiment, and share of voice against competitors.
Can you pay to appear inside ChatGPT or Gemini answers?
Not through classical ad buys, no. Some engines are testing sponsored placements, but organic citations still dominate. GEO is currently earned through content, entities, and third-party signals — not paid inclusion.