Generative Engine Optimisation (GEO) is the practice of building online authority signals that AI search systems use to recommend businesses. Here is what it means and why it matters.
Key Takeaways
Search has changed. For decades, the dominant model was simple: publish content, earn backlinks, rank higher in Google. The goal was a position on a search results page. The customer would click, visit your website, and decide whether to contact you.
That model still exists. But alongside it, something fundamentally different has emerged.
When someone opens ChatGPT, Perplexity, or Google's AI Overviews and asks "who is the best mortgage adviser in [city] for first home buyers", they don't receive a list of links. They receive a direct answer — often naming specific businesses, explaining why those businesses are recommended, and summarising what makes them trustworthy.
This is a different category of search. The AI system has already done the evaluation. It has analysed content across the internet, assessed authority signals, and formed a recommendation. The customer receives a conclusion, not a set of options.
Businesses that appear in these answers have a decisive advantage. Businesses that don't appear don't exist in that search moment — regardless of how good their service actually is.
Generative Engine Optimisation (GEO) is the practice of building the online signals that AI systems use when forming recommendations. It is distinct from traditional SEO in both method and objective.
Traditional SEO optimises for ranking positions in search results. GEO optimises for inclusion in AI-generated answers. The signals that matter are different. The content strategy is different. The timeline is different.
Where traditional SEO focuses on keywords and backlinks, GEO focuses on:
The shift to AI-mediated search has different implications for different types of businesses. For local service businesses — trades, consultants, professional services, health practitioners — the stakes are particularly high.
These businesses often rely heavily on local discovery. When a homeowner needs an electrician, when a first home buyer needs a mortgage adviser, when a business needs an accountant — these are searches with immediate commercial intent. The person asking already needs the service. They are choosing between providers.
If an AI system recommends your business in that moment, you win the customer at the moment of intent. If it doesn't, that customer may never find you at all.
AI systems don't make recommendations based on a single piece of content. They analyse patterns — consistent publication, sustained expertise signals, reliable geographic context. A business that published twenty posts three years ago and nothing since will score lower than a business that has published consistently for the past twelve months.
This is why GEO is best understood as a sustained strategy, not a campaign. The businesses that benefit most are the ones that establish a consistent publishing cadence and maintain it over time.
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