AI Search Optimisation (AEO) | Get Recommended by ChatGPT and Gemini
When someone asks ChatGPT for a local service, the AI gives one or two names. Not a page of links. One direct recommendation. AEO is the process of making sure your business is that recommendation.
AI search has already changed how people find local businesses
There is a meaningful shift underway in how consumers find local service providers. Alongside traditional Google searches, a growing number of people are typing questions into ChatGPT, Google Gemini, Perplexity, and Microsoft Copilot. Questions like 'who is the best electrician in Hitchin' or 'recommend a dentist near Letchworth that does emergency appointments'.
The critical difference between traditional search and AI search is the format of the answer. Google returns a list. Ten blue links, maybe a local pack of three. The user scans, compares, chooses. AI returns a direct recommendation. One business name. Sometimes two. That is the entire shortlist.
For businesses that appear in those AI answers, the results are powerful. The customer arrives already convinced. They have been told, by a tool they trust, that this is the business to call. Conversion rates from AI referrals tend to be significantly higher than from traditional search because the recommendation carries implicit endorsement.
For businesses that do not appear, the situation is less visible but equally significant. They are not being rejected. They are being skipped entirely. The customer never sees their website because the AI never considered them. That gap is what AEO addresses.
What AEO involves and how it works
AEO stands for Answer Engine Optimisation. It is the process of structuring your online presence , website content, business profiles, structured data, and third-party mentions , so that AI tools have enough clear, verifiable information to recommend your business confidently.
AI tools do not rank pages the way Google does. They synthesise information from multiple sources and try to identify the most relevant, credible answer to a specific question. The businesses that get recommended tend to share several characteristics: clear service descriptions, specific location coverage, consistent business details across platforms, genuine proof of quality, and content structured in a way that machines can parse easily.
- Service pages with specific, detailed descriptions of what each service includes and where it is available
- FAQ content mapped to the questions real customers are typing into AI tools
- Location pages that name individual towns and describe service coverage clearly
- Proof content , case studies, project examples, process breakdowns , that gives AI evidence to support its recommendation
- Consistent business name, address, phone number, and service list across your website, Google Business Profile, and directories
- Schema markup (JSON-LD) that presents your business data in a format AI tools can read directly
Why most business websites are invisible to AI
The majority of small business websites were built to look good to a human visitor browsing on their phone. They were not built for machine comprehension. A visually polished website with vague copy , 'we offer a wide range of services across the region' , gives AI nothing specific to work with. It cannot extract which services, which regions, what the pricing looks like, or what past customers have said.
AI tools need specifics. Which services exactly. Which towns. What kind of customers. What outcomes. What makes this business different from the other thirty that offer something similar. When those specifics are missing, the AI either skips the business or hedges its recommendation with qualifiers that make it useless.
Structured data is another common gap. Most small business websites have no schema markup at all. That means the machine-readable layer of the site , the part that AI tools process most efficiently , is entirely empty. Adding proper JSON-LD structured data gives AI a direct data feed about your business without relying on it to parse and interpret your marketing copy.
The good news is that fixing these gaps does not require rebuilding your entire website from scratch. Targeted AEO work , adding structured FAQ content, implementing schema markup, building clear service and location pages, and aligning your Google Business Profile , can produce measurable changes in AI visibility within weeks.
The first-mover advantage in AI search is real and time-limited
AI search tools are learning and evolving quickly, but one pattern has been consistent: the businesses that establish their content footprint early tend to retain their position. AI tools develop associations between businesses and service categories based on the information available to them. The earlier your business builds that association, the harder it becomes for latecomers to displace you.
Right now, the majority of local businesses have not started any form of AEO work. Their websites are not structured for AI comprehension. Their Google Business Profiles are incomplete or inconsistent with their website. Their FAQ content, if it exists at all, does not address the questions people are asking AI.
That gap represents a genuine competitive window. The businesses that invest in AEO now are building authority that compounds over time. Every new piece of content, every additional review, every structured data element adds to the signal that makes AI more confident in recommending them. Waiting twelve months means competing against businesses that already have twelve months of compounding advantage.
AEO for Hertfordshire businesses
We specialise in AEO for local businesses across Hertfordshire , Hitchin, Letchworth, Stevenage, Baldock, Royston, St Albans, Watford, Hemel Hempstead, and beyond. Our work focuses on building the structured content assets that get AI tools to recognise and recommend your business for your specific services in your specific areas.
Every AEO project starts with an audit. We test how ChatGPT, Gemini, and Perplexity currently respond to queries about your services in your towns. We identify the gaps, prioritise the highest-impact assets, and build a roadmap that delivers measurable improvement in AI visibility.