Search is no longer only a list of links. People now ask an AI tool to summarise a market, compare suppliers or answer a question in a single reply. A UK business that still treats its website as an online brochure is harder to find, and harder to describe accurately, when those answers are put together from many sources.
Traditional SEO has not gone away. Pages still have to be discovered, understood and judged useful. What has changed is the job each page has to do. It must be technically sound, written for a real question, and clear enough that both a search engine and an AI system can tell who the business is, what it does and whether its explanation can be trusted.
That second job is often called Generative Engine Optimisation, or GEO. It sits alongside SEO rather than replacing it. In practice, it is the same care a good website always needed, applied with more discipline around facts, structure and authorship.
What is Generative Engine Optimisation (GEO)?
GEO is the work of making a business's information clear, specific and reliable enough for an AI-powered search or answer system to retrieve it and represent it fairly. That system might be a search results page that writes a short summary above the links, or an assistant that answers questions in conversation. Either way, it has to decide which sources to rely on.
SEO helps search engines discover, understand and rank pages. GEO asks a further question: once a page is found, is its information precise and trustworthy enough to be used in an answer? No published formula guarantees a mention, and any provider who promises that a particular assistant will cite you is selling a certainty the platforms themselves do not offer.
The two overlap heavily. A page that is hard to crawl, vague about the business or padded with repeated phrases is a poor candidate for both. A page that names the service, the customer, the location and the limits of the offer gives a system something solid to work with, without it having to fill the gaps.
Why UK businesses should care about AI search
A buyer no longer has to open ten websites to draw up a shortlist. They can ask a question that used to start as a search:
- Which web development company should I use in Birmingham?
- Who can build a scalable website for my business?
- What is the best technology for a business website?
- Which UK company can help with AI automation?
- What does website maintenance usually involve?
- What should a small business look for in an SEO-friendly website?
These are commercial questions. The reply may name some firms and leave others out, or describe a type of supplier without naming anyone. If your own pages do not answer the question in plain language, the system has little of yours to draw on. It may fall back on a directory listing, an out-of-date profile or a competitor's explanation.
Many UK businesses looking for a website, custom software, practical AI, cloud hosting, digital marketing or ongoing support now begin their search this way. Your site needs to be ready for that first question, not only for people who already know your web address. How each AI model chooses its sources is not fully published, and it keeps changing. What stays useful is information a careful reader, human or machine, can check.
7 ways to make your website ready for AI search
1. Build pages around real customer questions
Search intent is the task the visitor is trying to complete. A page about "web development" in the abstract rarely helps someone who wants to know whether a rebuild will keep their existing content, how a typical website project runs, or what happens after launch. Write the page for that decision.
For a UK service business, the useful questions are often simple. What do you cover, and what do you not? Which areas do you actually serve? What should the customer prepare? A heading that only repeats a keyword is weaker than one that names the choice the reader is making.
2. Demonstrate genuine expertise
AI systems have more to work with when a page reads as though it was written by someone who has done the work. That shows in the detail: the difference between a public website and a logged-in tool, the checks you run before a page is indexed, the point at which a small change becomes a new project. It does not show in a longer page that says the same thing three times.
Credit the work to a real team, keep claims within what you can stand behind, and point to published work where it exists. A case study of a rebuild that anyone can visit is evidence. Calling the firm "leading" or "award-winning" without a source is not. First-hand explanation beats a list of trends.
3. Make your business entity clear
An AI system has to work out whether a page belongs to a real organisation. State plainly who the company is, what it does, where it operates, who it serves, which services it offers and how to get in touch. Use the same wording for those facts on the about page, in the footer and on every service page.
The same details should match the profiles you control elsewhere: company name, office address, phone number and email. A mismatch does not prove an error, but it gives a customer, and a machine, a reason to hesitate. For example, Web Works Rise is a UK-led team with an office in Birmingham and a development hub in Tunisia that adds delivery capacity for UK projects. That description should read the same wherever it appears.
4. Use structured data properly
Structured data is a machine-readable description that sits alongside the visible page. Useful schema.org types, where they match the page, include Organization for the company, LocalBusiness if you have real premises and serve a local area, Service on a genuine service page, Article or BlogPosting on a news piece, and BreadcrumbList to show where a page sits in the site. FAQPage belongs only on a page that shows those questions and answers to the reader. Do not add a hidden block of questions to chase a rich result.
Structured data helps crawlers interpret what is already written. It does not create authority, and it does not guarantee a mention in an AI answer. If the visible copy and the markup disagree, fix the copy first, then bring the markup into line.
5. Improve technical SEO and website performance
A system cannot use a page it cannot fetch. Technical SEO still covers crawlability, indexability, canonical URLs, an XML sitemap and descriptive URLs. Semantic HTML with a clear heading structure helps both people and tools read the page, as do internal links that connect each service to the proof and the next step.
Speed and mobile usability matter just as much. Many people in the UK open a business website on their phone first, and a slow page, or one that only works on a large screen, loses them before any AI system is involved. Accessibility is part of the same care: clear labels, enough colour contrast, and text that is real text rather than an image.
Reliable hosting counts too. A page that is down, or that moves without a redirect, drops out of the sources a system can check. For a public business website, Next.js with React and TypeScript is a practical way to serve the HTML, metadata and images without building that stack by hand. The choice between React and Next.js often comes down to whether the public site needs to be found in search.
6. Create useful, specific service and location content
A homepage cannot carry every offer. Give each important service its own page, and explain who it is for, what is included and what a sensible first step looks like. A web and software agency, for example, would have separate pages for web development, software development, AI development, cloud solutions, digital marketing and website maintenance. Link between those pages wherever a reader would naturally need the next one.
Location pages earn their place only when the location changes the offer. A Birmingham page that names a real office, the area you genuinely cover and the work you do there is useful. A set of city pages where only the city name changes is a doorway pattern: it wastes crawl budget and reads as thin content. If you do not serve a city, do not publish a page that suggests you do.
7. Keep information accurate and up to date
An AI system, like a customer, will treat an old price, a discontinued service, a previous address or a technology you no longer use as if it were current. That is how a well-run business ends up described inaccurately. Keeping your site accurate is not a separate marketing project. It means security updates, regular content edits and a named person responsible for the pages that bring in enquiries.
Website maintenance is the less glamorous half of being a reliable source. A page that was right at launch and wrong six months later should not be the version an AI system repeats.
A practical AI search checklist for UK businesses
Use this as a review, not a score. If an answer is unclear, that part of the site is not yet ready to be relied on.
- Is the business clearly identified, with one consistent name?
- Are the services explained in plain language?
- Does every major service have a useful page of its own?
- Does the website answer real customer questions?
- Are claims backed by work you can point to?
- Is the business location clear, with local pages only for areas you genuinely serve?
- Are the phone number, email and address the same everywhere they appear?
- Do internal links follow the way a customer would move through the site?
- Is structured data used only where it matches the visible page?
- Can crawlers reach the important URLs, with a sitemap and sensible canonical tags?
- Is the key information still current?
- Is there evidence of the work: examples, a named team and explanations a non-specialist can follow?
SEO and GEO work together
Treat the two as one programme of work, not as competing products.
- SEO helps search engines discover and rank pages. GEO helps AI systems understand and use the information on those pages.
- SEO depends on strong technical foundations. GEO depends on information that is clear and attributable to a real organisation.
- SEO starts from search intent and the words people type. GEO also needs the questions, the entities and the context around them.
- SEO uses links and site architecture to signal what matters. GEO needs that same information to be reliable and well structured.
- SEO earns you a place in traditional results. GEO gives an AI system a fair chance of representing you accurately. Neither comes with a guarantee.
Dropping SEO to "do GEO" leaves the site hard to discover. Equally, polishing content for AI answers on a site that will not load properly on a phone helps no one.
How Web Works Rise helps businesses build for modern search
The sensible order is the website first, then the marketing built on top of it. Web development here means a public site that crawlers can read, with proper metadata on every page and a clear structure of service pages rather than one long homepage. Digital marketing then works on search intent, service pages and internal links, instead of sending visitors to a page that does not answer their question.
Where a business needs more than a brochure site, AI development usually means a focused feature, such as an assistant that answers questions from pages you already publish. Most practical uses of AI in business software are of that kind. None of them is a way to force a mention in an AI answer. Cloud hosting keeps the site available, and maintenance and support keep the facts, security patches and content current after launch.
Web Works Rise is a UK-led team based in Birmingham, with a development hub in Tunisia supporting UK delivery. The team builds business websites with Next.js, React and TypeScript, because a company website has to be found as well as used. If your site needs a stronger technical foundation for search and AI discovery, talk to the team about your next project.