Article last updated: 12th June 2026
Artificial intelligence is changing how people search for information online. AI‑powered answer engines such as Google’s AI Overviews and AI Mode, Bing Copilot, Perplexity AI, ChatGPT Search and others now generate detailed, conversational answers within the results themselves, often with citations and links back to source websites.
This is a significant shift: being visible now depends not only on where you rank, but also on whether your business is cited or referenced in these AI‑generated summaries. If your content isn’t aligned with this new way of searching, competitors may capture attention before users ever look at the traditional list of blue links.
Our 2026 UK State of Digital Marketing Report revealed that optimising for AI-powered search results is now the biggest training need for UK businesses, so we’ve put together this guide on how to optimise for AI-powered search.
This blog will cover:
- What is AI-powered search?
- Why optimising for AI search matters
- How AI-powered search works
- How to appear in AI search results
- How to measure performance across AI-powered search
- AI Search: Frequently Asked Questions
What is AI-powered search?
AI-powered search uses large language models and natural language processing to understand what someone is asking and return a contextual answer, rather than just a list of links. Instead of typing “best accounting software for small businesses UK” and scrolling through blue links, users may now see a summarised answer generated by AI, often with cited sources and links for deeper reading.
Google’s AI Mode, for example, uses a “query fan-out” method to break complex questions into smaller sub-queries, gather information from multiple pages and then combine everything into one overview. These experiences are often called AI-powered answer engines because they focus on synthesising information into a single response, pulling from a range of websites rather than simply ranking individual pages. Prominent AI search and answer engines include:
- Google AI Overviews and AI Mode (Google)
- Bing Copilot (Microsoft)
- Perplexity AI (Perplexity)
- ChatGPT Search (OpenAI)
- Claude (Anthropic)
Although each platform works slightly differently, they all depend on the same SEO foundations: high-quality, crawlable web content that they can find, understand, extract and cite as part of their answers.
Why optimising for AI search matters
AI search does not replace standard SEO, but it is changing how people interact with search results and where they discover brands. Many searches now produce an AI-generated summary at the top of the page, which can answer the question directly before a user ever clicks through to a website.
This “zero-click” behaviour is becoming more common, especially for quick, informational queries, so being visible inside the AI summary itself is increasingly important. If your business is not cited or referenced in those answers, your competitors may win awareness and trust before users ever reach the traditional results.
Here’s what this means for UK businesses:
- Your brand needs to be visible where AI answers appear, not just in the list of organic links.
- Being cited in AI responses can build credibility even when users do not click through immediately.
- Clicks you do earn from AI summaries are often more informed and higher intent, so the on-page experience matters more than ever.
- If you ignore AI search, you risk slowly losing visibility as user habits and click-through rates continue to evolve.
How AI-powered search works
AI-powered search tools scan and interpret huge volumes of online content to decide which pages to use in their answers. They are designed to understand natural language queries, identify the key intent behind them and then pull the most relevant passages from multiple sources into a single response.
Although each platform has its own models and ranking systems, most AI search and answer engines look for similar signals when choosing which content to surface:
- Relevance to the user’s question, including clear matches to the topic and intent.
- Topical authority and depth of coverage on the subject, not just a single short post.
- Clear structure, with headings, short paragraphs and scannable formats that are easy for both humans and machines to follow.
- Accurate, up-to-date information that is backed by credible sources or real experience.
- Natural, conversational language that reflects how people actually ask questions.
For example, Google explains that AI Mode can use a “query fan-out” method, where one complex question is broken into several internal sub-queries to explore different angles before generating a single overview. The more your content is well structured, clearly written and refreshed with current information, the easier it is for AI search tools to find, understand and safely reuse it in their answers.
Google’s guidance on AI search
Google has confirmed that its AI features, such as AI Overviews and AI Mode, are built on top of the existing Google Search systems rather than replacing them. They still depend on the same foundations as traditional SEO: pages that can be crawled and indexed, a good page experience across devices, and content that is genuinely helpful and unique for users.
In its latest guidance on optimising for AI-powered features in Search, Google also stresses that there are no special tags or shortcuts to guarantee inclusion in AI answers. Instead, it encourages businesses to focus on people-first content that demonstrates real experience and expertise, supported by clear site structure and internal links so important pages are easy to discover. For most organisations, this means doubling down on solid SEO and high-quality content, rather than chasing AI-specific tricks.
How to appear in AI search results
While every AI search engine works slightly differently, they tend to surface content that is easy to access, clearly structured and obviously helpful. The goal is not to “game” individual platforms, but to make your site the natural source AI tools want to reference when answering your customers’ questions.
1. Build topical authority
AI systems are more likely to trust websites that clearly specialise in a subject, rather than those that mention it once and move on. Instead of relying on a single blog post, build out clusters of content around the questions your customers ask most often.
That might look like a main guide supported by several in‑depth articles on related sub-topics, all linked together in a logical way. Over time, this helps both users and AI tools recognise your site as a go‑to destination for that area of expertise. Named authors, short bios and regular updates with new examples or data all add extra strength here.
2. Optimise for conversational queries
People increasingly type or speak questions into AI tools in the same way they would ask a colleague. Your content should reflect that.
You can help by:
- Using question-style headings (for example, “What is…?” or “How do I…?”) for key sections
- Giving a short, straightforward answer immediately beneath the heading before you go into more depth
- Including an FAQ section on important pages to cover common follow-up questions
This makes your content easier to skim for a human and easier to extract for an AI system. Keyword research still matters, but you are aiming to answer real questions, not just repeat phrases.
3. Structure content for machine readability
Good structure is one of the biggest levers you have for AI search. Well-organised pages are easier for people to read and easier for AI tools to interpret.
Think about:
- Clear H2 and H3 subheadings that describe what each section covers
- Short paragraphs, broken up with occasional bullet points or tables where they genuinely help
- A brief summary or definition at the start of each main section
Where it fits naturally, you can add schema markup (such as FAQ, HowTo, Article or LocalBusiness) to reinforce what is already visible on the page, rather than trying to force extra information into the code.
4. Demonstrate Experience, Expertise, Authority and Trust (E‑E‑A‑T)
Because AI-generated answers often only cite a handful of sources, trust signals really matter. Someone looking at your page should be able to see quickly who wrote it, why they know what they are talking about and how reliable the information is.
Simple ways to do this include:
- Adding bylines and author bios that highlight relevant experience or qualifications
- Referencing reputable sources, data or industry benchmarks, and linking to them where appropriate
- Including case studies, testimonials or examples drawn from real clients
- Making your site transparent with clear contact details, an About page and up‑to‑date privacy and service information
These signals support a broader “people‑first” approach in search and help any AI system feel more confident about quoting you.
5. Diversify content formats
Most AI search experiences still lean heavily on text, but many also draw signals from images, video and metadata. Adding other formats where they genuinely help can give AI tools more to work with and make your content more engaging for users too.
You might: embed a short explainer video, summarise a process in a diagram, or create a simple comparison table for key choices.
Make sure images use descriptive file names and alt text, and consider marking up important media types (such as videos or how‑to content) so search engines can recognise them more easily.
6. Keep content fresh and data-driven
AI tools work best when they can rely on you for accurate, current information. Pages that are clearly out of date are less likely to be selected, especially when they contain prices, regulations or statistics.
It helps to:
- Regularly review and update your most important guides
- Use recent, relevant data (ideally UK-specific) and say where it comes from
- Add “last updated” notes so users and AI tools can see that content is being maintained
Recurring formats, such as annual “state of” reports or updated checklists, can reinforce your role as a dependable source over time.
7. Strengthen your brand presence across platforms
Finally, AI search engines do not just look at your site in isolation. They piece together information from listings, review sites, social profiles and other sources to understand who you are and what you do.
Check that your Google Business Profile, key directories and social channels are accurate and consistent with your website.
Encourage reviews where appropriate and look for opportunities to earn mentions on reputable third‑party sites, such as industry press or award listings. A clear, joined‑up digital footprint makes it easier for AI systems to recognise your brand and more likely that you will be surfaced and cited in their answers.
How to measure performance and success in AI search
At the moment, there is no single dashboard that neatly shows “traffic from AI search”. Most AI features are still reported alongside normal search performance, so you need to look at a mix of signals to understand whether your content is being surfaced and used.
A practical way to approach this is to focus on four areas:
1. Referral traffic from AI tools
Some AI search engines send identifiable referral traffic when users click through to your site. Keep an eye out for visits from domains such as:
- Perplexity.ai
- Bing / Copilot
- ChatGPT or OpenAI
You will not see every AI interaction, but a steady increase in these referrals is a good sign that your content is being cited and clicked from AI-generated answers.
2. Search queries and on-page engagement
In tools like Google Search Console and your analytics platform, look for growth in:
- Long-tail, question-based searches (for example, “how do I…”, “what is the best way to…”)
- Time on page and scroll depth for your key informational guides
If more people are arriving on in-depth content via conversational queries and then spending time with it, that suggests better alignment with the kinds of questions AI tools are drawing from.
3. Branded search and direct traffic
AI summaries often introduce users to a brand without an immediate click. Over time, this can show up as:
- More searches for your brand name, or your brand plus a service (for example, “[Your business name] kitchen worktops” or “[Your business name] plumbing services”)
- More direct visits, where users type your URL or use bookmarks
These are useful “second order” signals that your business is appearing in answers and being remembered, even when you do not see an obvious referral.
4. Enquiries and conversions from informational content
Finally, look at how your educational pages and blog posts contribute to conversions. For example:
- Enquiries, demo requests or calls that originate on guides and blog content
- Assisted conversions in your analytics where users first visited a resource before getting in touch
If those numbers are trending up, it is a strong indicator that your content is being discovered earlier in the journey via AI search and is doing a good job of moving people closer to contact.
Optimising for AI search: wrapping up
AI-powered search is changing how customers discover businesses, but the foundations are still the same: clear, helpful content and a strong brand presence.
If you would like support adapting your SEO and content strategy for AI search, get in touch with our team.
Frequently Asked Questions about AI-powered search
How is Google’s AI Mode different from traditional search?
Google’s AI Mode uses its latest Gemini models and a “query fan‑out” technique to handle more complex, conversational queries, breaking them into sub‑questions and pulling together a multi‑step answer. It presents this as an AI-generated response with supporting links, alongside the traditional search results.
Does optimising for AI search mean I don’t need to do regular SEO?
No. Optimising for AI search builds on, rather than replaces, traditional SEO. You still need solid technical foundations (fast, mobile-friendly pages that can be crawled and indexed), a clear keyword and content strategy, and high-quality backlinks where appropriate. If you are struggling with the basics of SEO, it is worth getting those in place first or working with a specialist partner.
How long before I see results?
It genuinely varies. Some businesses see improved visibility within a few months, especially if they update key content and address technical issues. Larger shifts in how often you are cited in AI answers can take longer, as models and search features update periodically rather than in real time.
Is AI-powered search relevant for small UK businesses?
Yes. AI-powered search is already surfacing local businesses and recommendations, particularly for service-led queries. Making sure your website content, Google Business Profile and key listings are accurate can help you stay visible when customers use AI tools to look for local services.
What types of content perform best in AI search?
In-depth, well-structured content that clearly answers specific questions tends to perform best. AI systems are more likely to cite pages that:
- Tackle a topic in genuine depth rather than scratching the surface
- Use clear headings and short sections so answers are easy to extract
- Include recent, trustworthy data and examples
- Demonstrate real experience and expertise, not just generic information
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