What is AI Search Optimisation?

AI Search Optimisation is the practice of structuring a website so that AI engines such as ChatGPT, Perplexity, Claude, Gemini and Google AI Overviews can read it, understand it, and cite it as a source when answering user questions.

You may also see it called Generative Engine Optimisation (GEO) or Answer Engine Optimisation (AEO). All three terms describe the same thing.

That difference matters more than it sounds. When someone asks ChatGPT for the best web designer in Devon, they do not get ten blue links to scroll through. They get an answer with one or two businesses named directly in the response. If your business is one of those names, you win the customer. If it is not, you might as well not exist.

For most of the last twenty years, getting found online meant ranking high on Google. The whole SEO industry was built around that idea. Keywords, backlinks, page speed, mobile friendliness, all in service of moving up that list of ten blue links.

That model is breaking down faster than most business owners realise.

The numbers behind the shift

• More than 60 percent of Google searches now end without a click on any traditional result. Users get their answer directly from a featured snippet, AI Overview, or the search results page itself.
• ChatGPT now has over 800 million weekly users, many of whom use it as their first port of call instead of Google.
• Perplexity, Claude and Gemini have collectively pulled millions of users away from traditional search.
• Google AI Overviews now appear on a growing share of UK search results, often pushing the first organic link below the fold.

The behaviour is generational and irreversible. People under 35 increasingly turn to AI engines first. By the end of 2026, that will be the default for most professional and consumer research.

AI engines do not crawl and rank pages the way Google does. They ingest content, build a model of what your website is about, and decide whether to cite you when generating an answer. To make that more likely, AI Search Optimisation focuses on a few specific things.

1. Schema markup

Structured data in your page source code that tells AI engines exactly what your business is, what services you offer, where you are based, and what answers you provide. Without it, AI engines have to guess. With it, they have certainty.

2. The llms.txt file

A small plain text file in the root of your website that tells AI crawlers what your site is about and which pages matter most. It is becoming a recognised standard, similar to robots.txt for traditional search engines.

3. Question first content

Pages that lead with the question a real person would ask, then answer it clearly in the opening paragraph. The classic SEO style of long meandering intros that delay the answer is actively penalised by AI engines, which want quotable, citable answers near the top of the page.

4. Topical depth

AI engines reward websites that demonstrate genuine expertise on a subject. A single page about a topic looks shallow. A cluster of fifteen to twenty interconnected pages on the same subject signals authority, which is exactly what AI engines look for when choosing what to cite.

5. Entity clarity

Consistent language across your site about who you are, what you do, and which named entities you are associated with. AI engines build mental maps of the web in entities and relationships. Vague or inconsistent language confuses that map.

If you run a business in 2026, the practical implications break down into three honest scenarios.

You do nothing

Your competitors who get this right will be cited by AI engines. You will not. Over the next twelve to twenty four months, the share of customers who find businesses through AI will grow from a meaningful minority to the majority. By the time the impact on your bottom line is undeniable, you will be twelve to eighteen months behind the businesses that started now.

You do the basics yourself

Add some schema markup, write a few FAQ pages, and hope. Better than nothing, but you will be competing against businesses doing this professionally with proper topical depth, entity strategy, and ongoing measurement.

You build a real AI search presence

You add the technical foundations, build a structured cluster of content around your core topic area, and monitor which AI engines cite you over time. This is where the long term wins come from.