AI Search Optimisation

AI Search Optimisation is the process of making your website, content and wider online presence easier for AI-powered search systems to understand, evaluate and potentially reference when answering relevant questions.

You may also hear terms such as AEO (Answer Engine Optimisation) or GEO (Generative Engine Optimisation).

The terminology is still evolving, but the underlying principle is straightforward:
Make your business the clearest, most useful and most credible answer to the questions your potential customers are asking.
That requires more than simply adding a few keywords to a page.

AI systems need to understand what your business does, who it is for, what makes it different, what expertise sits behind it and whether the information available about you is trustworthy.
That’s where a properly structured search strategy becomes important.

There is a temptation to think that AI search requires throwing traditional SEO out of the window. I don’t agree.

Good technical SEO, useful content, relevant authority, clear information architecture and a strong understanding of search intent remain fundamental.

What changes is the way we think about the search journey. A traditional search might be: “SEO consultant”

An AI search could be considerably more conversational:
“Who could help a small business improve its Google visibility without signing up to a big agency?”

The second question requires more than a page targeting “SEO consultant”. It requires your website to communicate the problems you solve, the businesses you work with, how you approach those problems and why someone should trust your advice.

That is where I build AI Search Optimisation into the strategy.

One of the most important considerations is Google’s concept of E-E-A-T: Experience, Expertise, Authoritativeness and Trustworthiness.

Google’s guidance makes an important distinction here: E-E-A-T isn’t a single ranking factor. Instead, it is a useful framework for assessing whether content demonstrates the qualities people should expect from a reliable source. Google also places particular importance on trust.

For me, that means AI Search Optimisation shouldn’t be about producing endless generic articles.
It should be about making the expertise already within your business more visible.
That could include:

• Demonstrating first-hand experience rather than repeating generic advice.
• Explaining how you approach specific problems.
• Creating genuinely useful resources around your areas of expertise.
• Making authorship and relevant experience clear.
• Supporting important claims with appropriate evidence and sources.
• Building a website that clearly explains who you are and what you do.
• Strengthening the signals that demonstrate your business is a legitimate, trustworthy source of information.

In other words, your expertise needs to be visible, not just exist behind the website.

AI Search Optimisation does not mean writing content for robots. In fact, that can be counterproductive. The strongest content starts with the audience.

What questions are potential customers asking? What information do they need before contacting you? What misconceptions do they have? What comparisons are they making? What would an experienced professional explain that a generic article wouldn’t?

I use those questions to identify opportunities for content that provides genuine value.
That might mean service pages, detailed guides, FAQs, comparison content, case studies, expert commentary, supporting articles or content built around specific customer journeys.

The objective isn’t to create content simply because a keyword has search volume. It’s to create content that gives someone a reason to trust you. Google’s own guidance recommends people-first content that demonstrates first-hand expertise and provides original value rather than content created primarily to manipulate search rankings.

Content quality is only part of the picture. Your website also needs to make sense. I look at how your services, expertise, locations, products, supporting content and business information fit together.

This can involve improving:

• Information architecture – making it clear how the different parts of your website relate to each other.
• Internal linking – connecting relevant pages so users and search systems can discover supporting information.
• On-page optimisation – ensuring pages clearly communicate their purpose, subject and relevance.
• Structured data – where appropriate, helping search engines understand the entities and information represented on your pages.
• Technical SEO – ensuring important content can be discovered, crawled and indexed effectively.
• Content relationships – developing groups of related content that demonstrate depth around the subjects your business is genuinely knowledgeable about.

These are not “AI tricks”. They are good search marketing practices that can benefit your visibility across multiple search environments.

AI search also makes it increasingly important to consider what the wider web says about your business. Your website is your primary source of information, but it isn’t the only source.

Relevant mentions, authoritative links, industry publications, professional profiles, reviews and other trustworthy references can all contribute to the wider picture of your business. This is why I don’t look at AI Search Optimisation as simply an on-page exercise.

Depending on your goals, the strategy may involve content marketing, digital PR, link acquisition, local search, reputation building and other forms of search marketing. The exact mix depends on the business.
There is no universal AI optimisation checklist that guarantees your company will appear in an AI-generated answer—and anyone promising guaranteed inclusion should be treated cautiously. Google itself advises businesses to be wary of third-party services making unsupported claims about AI search performance or guarantees.

For most businesses, I would recommend treating AI Search Optimisation as part of the overall search strategy. That means looking at the whole picture.

Where are you currently visible?
Which searches matter commercially?
What does your existing content do well?
Where are the gaps?
What questions are your potential customers asking?
How strong are your expertise and authority signals?
And where are the opportunities to improve your visibility across traditional search and emerging AI search experiences?

This approach avoids chasing every new acronym or platform. Instead, we build a sustainable search strategy designed around your customers and your commercial objectives.

If you already have a strong SEO foundation and want to focus specifically on AI-driven search visibility, I can also work with you on AI Search Optimisation as a standalone service.

That could involve reviewing your existing website and content, identifying opportunities to demonstrate expertise more effectively, analysing the questions and topics that matter to your audience, improving the structure of important pages and developing a focused content and authority strategy.

The starting point is always understanding where you are now.
There is little value in applying a generic checklist to every business because every website, industry and competitive landscape is different.

This is perhaps the most important point. The goal isn’t to create a website that an AI system likes. The goal is to create a website that people trust and AI systems can understand. That distinction matters.

If someone discovers your business through an AI-generated answer, they still need to visit your website and find compelling reasons to take the next step. They need to understand what you offer. They need to see evidence that you know what you’re talking about. They need to feel confident that you’re a genuine business that can solve their problem. And ultimately, they need a reason to contact you.

That’s why I treat AI Search Optimisation as another layer of good search marketing—not a shortcut around it.