Generative engine optimisation (GEO): making your brand legible to AI models
Beyond individual pages, GEO is about whether AI models have a clear, consistent picture of your brand. The signals — structured data, consistent descriptions, third-party mentions, open crawling — and what to do this quarter.
21 Nov 2025 · 2 min read · by HeiSyn
Generative engine optimisation asks a broader question than any single page: when a model is asked about your category, does it know you exist, what you do and who you are for? Models learn brands from the web at large — your site, but also reviews, directories, articles, social profiles and what other people write. GEO is the practice of making that picture clear and consistent everywhere it is formed.
Say the same thing everywhere
One description of the company — what, for whom, where, how — used on the website, LinkedIn, Google Business Profile, directories, review sites and in the boilerplate of every article and press mention. Models build entities from repeated, consistent statements; contradictions dilute them.
Let the crawlers in
Robots policies that allow the AI crawlers you want to be known by, an llms.txt that summarises the company and links the important pages, structured data that names the organization and its services, and no content locked behind scripts a crawler cannot run. If the model cannot read the site, it learns about you only from others.
Earn third-party mentions
Articles by team members on other platforms, reviews on the sites the model reads, listings in the directories for your category, podcast appearances with transcripts, mentions in partners' content. A brand mentioned in ten independent places with the same description is far more legible than one described only on its own site.
Measure the picture
Periodically ask several models what your company does and who it is for, and compare the answers to what you intended. Note gaps — services it does not know, regions it gets wrong, competitors it confuses you with — and fix the sources. This is the quarterly review that GEO adds to a content plan.
Questions people ask next
- Should we block AI crawlers to protect our content?
- For a company that wants to be found and recommended, blocking the crawlers is self-defeating — the model then learns about you only from what others say. Block them for private or paid content; allow them for the public site you want cited.
- How do we check what AI models think we do?
- Ask several assistants, monthly, the questions a buyer would ask about your category and about your brand by name. Keep the answers. Where they are wrong or missing, find the sources the assistant used and fix or add to them.
- Is GEO different for local businesses?
- The same principles apply with a local layer: consistent name, address and category across the listing, directories and the site; reviews that mention the services and the area; and content that names the locations served. Assistants answering 'near me' questions read those sources.
Want this built for your team?
A free scoping call: we map your motion, name the number that should move, and quote a fixed-scope build.
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