What is GEO? Generative Engine Optimisation explained

GEO - Generative Engine Optimisation - is the practice of getting a brand genuinely cited and recommended when someone asks an AI tool for suggestions, not just answers. Where AEO is about getting a direct answer used, GEO is about being one of the names an AI model actually recommends.

The question GEO is trying to answer

Picture someone asking ChatGPT: “who’s a good [category] business near me” or “what’s the best [product] for X.” GEO is the work of making sure a specific brand is one of the names that comes back - the same way traditional SEO fought for a spot in the first page of Google results, GEO is fighting for a spot in that recommendation.

Why this matters now

Search behaviour has genuinely shifted. People aren’t only typing keywords into a search box anymore - a growing number are asking an AI tool a direct, conversational question and treating the answer as a shortlist. If a brand isn’t in that shortlist, it doesn’t matter how well the site is designed or how good the product is - it simply doesn’t exist in that moment.

How GEO actually works, at a practical level

A few things genuinely move the needle:

• Being citable, not just visible. AI models tend to pull from content that clearly demonstrates expertise and gives a specific, well-reasoned answer - vague marketing copy rarely gets cited, even if it ranks fine in traditional search.
• Technical crawlability. A lot of AI crawlers don’t execute JavaScript the way a browser does. If a site’s content only renders client-side, it may be functionally invisible to the exact tools GEO is trying to reach.
• Structured data. The same schema markup that helps AEO also helps GEO - it gives a model a clean, explicit signal about what a business does and who it serves.
• Real, specific content. Generic “we’re the best at X” copy doesn’t give a model much to work with. Specific claims, real case studies, and honest detail give it something worth citing.

GEO vs traditional SEO, in one sentence

Traditional SEO optimises for a person scanning a list of links; GEO optimises for a model deciding who to recommend on someone else’s behalf.

A genuinely growing, still-early field

This is a young discipline - most businesses haven’t started thinking about it yet, which is exactly why it’s worth doing now rather than later. The category is expanding quickly as more people default to asking an AI tool before opening a search engine at all.

What this doesn’t mean

GEO isn’t about gaming an algorithm or tricking a model into a false recommendation. The brands that do well here tend to be the ones with genuinely good, well-structured content - the optimisation makes that content easier to find and trust, it doesn’t manufacture credibility that isn’t there.