What is GEO?

Generative Engine Optimization: making sure AI engines perceive, compare and recommend your brand correctly.

SEO optimizes for ranked links. GEO optimizes for answers. Generative Engine Optimization is the discipline of optimizing how generative AI (ChatGPT, Gemini, Claude, Perplexity, Copilot) and Google AI Overviews perceive, describe and recommend a brand. As users shift from typing keywords to asking AI, the question stops being “do I rank?” and becomes “does the AI know, trust and recommend me?”.

Why GEO matters now

  • AI Overviews appear in roughly 21% of searches globally, and over 30% in YMYL sectors (health, finance, legal), growing more than 70% year over year.
  • Organic traffic drops of 17 to 25% are already observed in key sectors as AI adoption rises.
  • One LLM query is operationally equivalent to three or four Google searches with AI Overview blocks.

SEO vs GEO

SEO is about ranking URLs in a results page. GEO is about being the entity an AI engine understands, trusts, cites and recommends. The unit of optimization moves from the page to the entity, and the battleground moves from the SERP to the model’s answer.

The surfaces GEO covers

  • ChatGPT
    OpenAI
  • Gemini
    Google
  • Claude
    Anthropic
  • Perplexity
    Perplexity AI
  • Copilot
    Microsoft
  • Google AI Overviews
    Generative SERP

The five dimensions of measurement

  1. Visibility. How often and how prominently AI engines surface the brand.
  2. Preference. Whether the AI recommends the brand over competitors.
  3. Perception & attributes. What qualities the AI associates with the brand.
  4. Competitive benchmark. How the brand compares against rivals in AI answers.
  5. Traceability & activation. Which sources feed the AI and what to act on.

Core GEO KPIs

  • Share of Voice (SOV): Brand presence across AI answers vs the category.
  • Brand Impact Score (BIS): Composite of visibility and sentiment weight.
  • Sentiment Score: Positive vs negative framing in AI responses.
  • Position Score: Where the brand lands within a recommendation list.
  • Attribute Affinity: Strength of association with target attributes.
  • Co-branding Heatmap: Which other brands the AI mentions alongside yours.

On top of these six universal KPIs, GEO adds proprietary narrative KPIs per industry that decode the “narrative DNA” of AI answers beyond standard sentiment.

How GEORadar operationalizes GEO

GEORadar is a GEO intelligence service (not a SaaS) that audits how generative AI surfaces perceive, compare and recommend a brand. It runs custom studies of 3,000 to 30,000 personalized prompts across the main LLMs and Google AI Overviews, and delivers a 90-day action plan plus a continuous dynamic dashboard, with specialized editions per industry.

Frequently asked questions

  • What is GEO (Generative Engine Optimization)?

    GEO is the discipline of optimizing brand visibility in AI and LLM responses. It focuses on how generative engines like ChatGPT, Gemini, Claude and Perplexity, plus Google AI Overviews, perceive, describe and recommend brands.

  • How is GEO different from SEO?

    SEO optimizes to rank URLs in the search results. GEO optimizes to be the entity that AI engines understand, trust, cite and recommend. SEO is about links; GEO is about entities and answers.

  • Which AI surfaces does GEO cover?

    The main LLMs (ChatGPT, Gemini, Claude, Perplexity, Copilot) and the generative SERP, Google AI Overviews. One LLM query is operationally equivalent to three or four Google searches with AI Overview blocks.

  • How do you measure GEO?

    Across five dimensions (visibility, preference, perception, competitive benchmark, traceability) using six core KPIs including Share of Voice and Brand Impact Score, plus proprietary narrative KPIs per industry.

Want to see how AI describes your brand?

GEORadar measures it across every major AI engine.

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