AI Search and Generative Engine Optimisation: What Businesses Need to Know

Search no longer ends with a simple list of links. Google shows AI Overviews at the top of many results pages and offers a conversational AI Mode, while ChatGPT, Perplexity and Microsoft Copilot answer questions directly and cite sources along the way. For business owners, the obvious questions are whether this changes how customers find you, and whether there is anything sensible you can do about it. The honest answer is yes on both counts, but with far less mystery than some of the marketing around "generative engine optimisation" suggests.

What has changed

AI search tools write an answer by drawing on information they retrieve from the web, and in many cases they link to the pages they used. That has a few practical consequences:

• Some simple informational questions are now answered without a click, so traffic for basic "what is" queries may fall even if your visibility holds steady.
• People ask longer, more specific questions, often with follow-ups, and the tools assemble answers from several sources at once.
• Being cited or mentioned in an answer can build familiarity with your brand even when the visit happens later, through a branded search or a direct visit.
• Different tools draw on different sources. Google's features use Google's index, Copilot leans heavily on Bing, and other assistants use a mix of their own crawlers and third-party search data.

What generative search optimisation actually involves

Strip away the new terminology and most of the work is good SEO done thoroughly. Google has said there are no additional technical requirements for appearing in its AI features beyond a page being indexed and eligible to show in search with a snippet. The other platforms publish less detail, but the same broad principles apply: be accessible, be clear, be useful and be trusted.

Make sure crawlers can reach you

An AI tool cannot cite a page it cannot access, so this is the first thing a technical SEO review should confirm. Check that:

• Your important pages are indexable in both Google and Bing, with sitemaps submitted through Search Console and Bing Webmaster Tools.
• Your robots.txt file is not blocking search crawlers you actually want. Several AI companies run separate crawlers for search features and for model training, so you can make different choices for each. Check each provider's current documentation, as crawler names and behaviours change.
• Your hosting, CDN or firewall is not quietly blocking AI crawlers. Some providers now offer bot blocking as a simple switch or a default setting, which is worth reviewing deliberately.
• Key content is present in the HTML rather than only appearing after scripts run. Not every crawler renders JavaScript as fully as Googlebot does.

Make your business unambiguous

AI systems need to understand who you are before they can confidently mention you. Entity clarity simply means the facts about your business are consistent and easy to confirm:

• Use the same business name, address and contact details across your website, Google Business Profile and directory listings.
• Have a clear About page explaining what you do, who you serve and where you work.
• Describe your services in plain, specific terms rather than vague slogans.
• Add Organization or LocalBusiness structured data that matches the visible content, with links to your official profiles elsewhere.

Structure content around real questions

AI answers are often assembled from individual passages, so content that states things clearly is easier to use. That does not mean writing for robots. It means writing the way a good expert explains things to a customer:

• Use headings that reflect the questions customers actually ask.
• Answer the question directly in the first sentence or two under each heading, then add detail, context and caveats.
• Use lists and tables where they genuinely help, for example when comparing options or setting out steps.
• Keep facts, prices and policies up to date, and show when content was last reviewed where timing matters.

This is the same discipline good SEO content has always needed: write for the reader first, and structure it so both people and machines can follow it.

Show experience and substance

Thin pages that restate what is available everywhere give an AI tool no particular reason to cite you over anyone else. Content that includes first-hand experience, real examples, specific guidance for your sector or area, and clear authorship is more useful to people and to the systems that summarise the web. Google's guidance on helpful, reliable, people-first content applies to its AI features just as it does to traditional results.

Use schema sensibly

Structured data helps machines interpret a page, but it is not a shortcut to AI visibility. Use the types that genuinely describe your content, such as Organization, LocalBusiness, Product, Article or BreadcrumbList, and keep the details accurate. Markup that contradicts the page, or describes content that is not there, can do more harm than good.

Earn mentions beyond your own website

AI tools tend to reflect what the wider web says about a business, not only what the business says about itself. Reviews, local press coverage, industry directories, trade association listings and discussions in forums all shape that picture. You cannot control them directly, but you can earn them through good service, genuine expertise and visible involvement in your sector and community.

What to be sceptical of

Because AI search is new and fairly opaque, it attracts confident claims. Treat these with caution:

• Guaranteed AI citations. No one can guarantee that Google, ChatGPT, Perplexity or Copilot will cite or mention your business. Answers vary by user, phrasing, location and time, and the platforms change how they work regularly.
• Special files and tricks. Proposals such as llms.txt may find a role in future, but Google has said its AI features rely on normal crawling and indexing. Treat them as optional extras rather than priorities.
• Hidden instructions and keyword padding. Attempts to manipulate AI systems with hidden text or stuffed content risk breaching search spam policies and damage trust if discovered.
• Mass-produced AI content. Publishing large volumes of unoriginal pages to "feed" AI systems is more likely to be treated as scaled content abuse than to earn citations.

Measuring AI search visibility

Measurement is one of the weakest areas of AI search, and it is worth being clear about the limits:

• Google Search Console has generally reported clicks and impressions from AI features within its overall web search figures, which makes their effect hard to isolate.
• Visits from ChatGPT, Perplexity, Copilot and similar tools often appear as referral traffic in analytics, but some arrive without referrer information and are recorded as direct.
• Third-party AI visibility tools test samples of prompts. They can show broad trends, but they cannot see every conversation, and results depend heavily on which prompts are tracked.
• Branded search interest, direct enquiries and simply asking new customers how they found you remain useful signals.

Treat AI visibility as one input alongside rankings, organic traffic and, most importantly, enquiries and sales.

Where to start

For most small and medium businesses, the practical starting point is not a new strategy but a check of the fundamentals. Can search and AI crawlers access your site? Is your business described clearly and consistently across the web? Does your content answer the questions customers ask better than the alternatives? Fixing gaps there helps in traditional search and AI answers alike. If you would like a structured review, our AI SEO service looks at crawler access, entity signals and content structure together, with honest reporting on what can and cannot be measured.