What is Generative Engine Optimisation (GEO)? The complete guide for 2025

What is Generative Engine Optimisation?

Generative Engine Optimisation (GEO) is the practice of improving how your brand appears in AI-generated responses. Where traditional SEO focused on ranking in a list of blue links, GEO focuses on being cited, mentioned, or recommended by AI assistants like ChatGPT, Perplexity, Google Gemini, and Claude.

Why GEO is different from SEO

AI models do not crawl your website in real time. They generate responses based on patterns learned during training, combined with retrieval from web sources. The signals that drive AI visibility are fundamentally different from traditional SEO.

Entity recognition — AI models think in entities, not keywords. Your brand needs to be an established, recognised entity with consistent mentions across credible sources.

Authority signals — Being cited in authoritative publications and trusted third-party sources tells AI models your business is legitimate and worth recommending.

Content depth — AI models favour sources that provide genuinely useful, in-depth information. Thin content performs poorly.

Consistency — Your business name, description, services, and location should be described consistently everywhere online.

Sentiment — AI models pick up on sentiment. Negative reviews and poor coverage can suppress your visibility.

The four pillars of GEO

1. Entity establishment

Your business needs to exist as a clear, unambiguous entity in the eyes of AI models. This means consistent NAP data across all directories, a well-structured Google Business Profile, and mentions in industry publications.

2. Authority building

Focus on getting featured in industry publications and trade press, earning coverage in local and national news outlets, building genuine case studies, and participating in industry associations.

3. Content that answers questions

Create content around what your service is, how your process works, what someone should look for when choosing your category, and how much your service costs.

4. Structured data and schema markup

Schema markup tells AI models exactly what your content is about. The most important schema types are LocalBusiness, Organization, FAQPage, Product or Service, and Review or AggregateRating.

How to measure GEO performance

Key metrics to track include mention rate (what percentage of relevant queries include your brand), average position (where you appear relative to competitors), sentiment score, and platform spread across all major AI platforms.

Getting started with GEO

Run the queries your customers are asking across ChatGPT and Perplexity. See who appears. If it is not you, look at what those businesses have in common and build a plan to match and exceed them. GEO is still early — the businesses that invest now will have a significant advantage as AI search continues to grow.