Why London Businesses May Be Losing Enquiries to AI Search, and What AI Search Optimisation Involves

London businesses that are absent from AI-generated answers may be missing enquiries from buyers who now start their research there. When a prospective client asks ChatGPT 'best SEO agency in London' or asks Perplexity 'which digital marketing agencies work with professional services firms in the UK,' those AI systems produce a short list of named businesses. The businesses on that list can win the enquiry, and the ones not on it may never be considered, regardless of how well their website ranks in traditional Google search.

AI search is the direct text answer AI systems like ChatGPT, Perplexity, and Google AI Overviews generate for a question, citing specific named businesses rather than a list of ten links. Some research-phase buyers now start there, and the businesses cited can earn credibility before a sales conversation even begins.

AI search refers to the answers generated by AI systems when users ask questions rather than type keyword searches. ChatGPT, Perplexity AI, Google's AI Overviews, and Bing Copilot all generate direct text answers to queries, citing specific sources. When someone asks these systems a question about finding a service provider in London, the system produces a recommendation list: not a list of ten blue links to click through, but a direct answer naming specific businesses or types of businesses, often with reasons why.

The shift is commercially significant. Some research-phase buyers, the people in the early stages of evaluating whether to hire an agency, consultant, solicitor, or any professional service, use AI answer engines as the starting point for that research. They ask a question, get a structured answer, and the businesses cited in that answer start with credibility the others have not earned yet.

AI engines tend to cite businesses that appear frequently, authoritatively, and consistently across multiple online sources, rather than judging individual pages the way Google's ranking algorithm does. No one outside the AI companies knows the exact weighting, but commonly discussed factors are direct-answer content, third-party mentions, brand consistency and quotable, specific claims.

AI answer engines like ChatGPT and Perplexity are built on large language models trained on web content. They cite businesses and sources that appear frequently, authoritatively, and consistently across multiple online sources. This is different from Google's ranking algorithm, which primarily evaluates individual pages. AI systems evaluate the overall presence and authority of a business across the web.

GEO (Generative Engine Optimisation) is the practice of optimising content to be cited in AI-generated answers, while SEO optimises pages to rank in Google's list of links. A business can rank page one on Google yet be completely absent from AI answers, and vice versa, because the two rely on different signals, listed below.

Generative Engine Optimisation (GEO) is the practice of optimising content to appear in AI-generated answers. It is related to SEO but requires different techniques. SEO focuses on ranking in lists of links. GEO focuses on becoming the source AI engines cite when generating prose answers.

The structural difference is significant. Google ranks a page based on signals like backlinks, page authority, and content relevance to a keyword. AI systems generate answers based on what they have extracted from many pages across the web. A business can rank on page one of Google but be completely absent from AI answers if its content is not structured to be extractable. Conversely, a business with modest Google rankings can appear prominently in AI answers if its content is structured correctly and third-party mentions are strong.

A useful structural change is adding a proper FAQ section to key service pages where buyers have real questions. Question-and-answer content is easy for AI systems to extract because it already has the shape of the answer they are trying to produce.

A second useful change is the opening paragraph structure. AI systems tend to favour content that puts the direct answer first. Every key page on your website should open by directly answering the most important question a visitor could ask about that topic. Not context. Not history. The answer. This mirrors the format AI systems use in their own outputs and makes your content easier to extract.

A practical off-site change is building real third-party presence across source types such as Clutch.co, DesignRush, LinkedIn, UK trade publications, and Google Business Profile. Treat this as long-term reputation work rather than a quick tactic, and no result is guaranteed.

Third-party mentions can be one of the main authority signals outside your own website. AI systems may build confidence about a business through cross-referencing: does this business appear in multiple credible external sources with consistent descriptions? The sources that may carry the most weight are established business directories, industry publications, and platforms the AI models were trained on.

Optionally. llms.txt is a plain text file at your site root (yoursite.com/llms.txt), proposed in 2024, that summarises what a site does and lists its key pages in a format meant for AI tools. Google's documentation says there are no additional requirements, or other special optimisations, needed to appear in AI Overviews or AI Mode, so treat llms.txt as low-cost housekeeping, not a visibility lever.

The llms.txt standard was proposed in 2024 and is not a requirement of any search engine. For a London service business, a short llms.txt file that states what the business does, who it serves, and links to its main service pages is cheap to maintain, but the same clarity is better spent on the pages themselves, where every crawler and every customer can read it.

Measure AI search visibility manually across four methods: monthly query testing, brand mention monitoring, AI Overview appearance checks, and third-party citation counts. There is no equivalent of Search Console for AI citations, so tracking must be directional.

AI search visibility cannot currently be measured with the same precision as Google rankings. There is no 'AI Overviews Search Console' that shows you which queries triggered your citation. The measurement approach is manual and directional: test the queries your buyers are likely to ask, observe which businesses are cited, and track whether that changes as you implement GEO improvements.

GEO and SEO work alongside each other and share many of the same content foundations. High-quality content that ranks well in Google also tends to be extractable by AI systems. The differences are in emphasis: GEO leans harder on direct answer formatting, third-party mentions and review-platform presence than classic SEO does. Worth being precise about schema, because this is where a lot of GEO advice has aged badly. Google deprecated FAQ rich results in May 2026. FAQPage remains a valid Schema.org type, so there is no need to strip it out, but it no longer earns a search feature and it is not the lever some guides still present it as. Running both as a connected programme is the right approach for any business that wants to maintain visibility as search behaviour continues shifting toward AI-mediated answers.

On-site changes, such as adding proper FAQ sections and tightening answer-first copy, can be made in days. How quickly AI tools reflect them varies and cannot be promised. Third-party presence takes longer: getting listed on Clutch and accumulating reviews takes months, not days, and no outcome is guaranteed.

The questions that buyers actually ask before hiring you. Not the questions you wish they asked. Use Google's People Also Ask feature for your target keywords to find the exact phrasing. Use your CRM data and sales notes to find the questions that come up repeatedly in sales conversations. Use review platforms to find what buyers comment on most frequently. The FAQs most likely to be cited by AI engines are the ones that answer real buyer questions with specific, actionable answers, not generic reassurance.

GEO is one of the fastest-moving areas in digital marketing. Book a call to talk through where your London business currently sits in AI search results and what the priority actions could be to improve visibility.

If you are also questioning whether your current provider understands this shift, our guide on what a marketing agency is includes the questions worth asking before you sign.

For a worked example of checking what AI tools say about a business, see our ChatGPT SEO guide.