AI Overviews and tools like ChatGPT are already changing how UK customers find local businesses, and most local SEO advice hasn’t caught up. This is a practical GEO (Generative Engine Optimisation) and AEO (Answer Engine Optimisation) guide for businesses that live on calls and directions, covering what’s actually different about ranking inside an AI answer versus a traditional search result.
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Why local search is different for AI answer engines
General GEO advice focuses on getting a brand cited inside a broad informational answer. Local search works differently: AI visibility for ‘near me’ and service-plus-location queries is measurably harder than general AI visibility, and harder again than traditional Google Maps visibility. One widely cited 2026 industry analysis of 350,000 business locations found AI local visibility roughly 30 times harder to achieve than ranking in Google’s local results, and ChatGPT currently recommends only around 1.2% of local businesses for a given local query, compared with the 35.9% of relevant locations Google’s own local results surface. That gap is the opportunity: almost nobody has optimised for it yet.
What actually feeds an AI Overview for a local query
For local, transactional queries specifically (‘plumber in Leeds’, ‘dentist near me open now’), Google’s AI Overviews and Gemini lean heavily on the same structured data source that powers the Local Pack: your Google Business Profile. This is the single most important thing for a UK service business to understand. Every guide on this site about completing your GBP, building reviews, and fixing NAP consistency is not just Local Pack work, it is AI Overview work, because it is the same underlying data source.
For broader informational queries about your industry (‘how much does a boiler service cost in the UK’), general-purpose LLMs like ChatGPT and Perplexity pull from a wider mix of your website content, third-party publisher mentions, review platforms, and forums, weighted heavily towards content with clear statistics, direct quotations, and citations, per the peer-reviewed GEO benchmark study from Princeton, Georgia Tech and the Allen Institute for AI.
7 practical GEO/AEO tactics for local businesses
- Complete your Google Business Profile fully. It is your primary structured data source for local AI answers, not just Maps.
- Add FAQ content with FAQPage schema to your key service pages, written as direct, self-contained answers. AI systems favour content that answers a question completely in two to three sentences without requiring the rest of the page for context.
- Keep content fresh. Recently updated pages appear roughly 4.3 times more often in AI answers than stale content, since AI systems show a measurable bias towards recency.
- Build third-party mentions, not just owned content. Distributing information across trusted external sources such as local press, trade directories, and industry publications can meaningfully increase AI citation odds compared to relying on your own site alone.
- Use structured data (schema) consistently across LocalBusiness, FAQPage, and Review schema types so AI systems can parse your entity data unambiguously rather than inferring it from prose.
- Include real statistics and specific numbers in your content. Peer-reviewed GEO research found that adding statistics lifted AI visibility by roughly 32% and quotations by roughly 41% in controlled testing.
- Keep your NAP and entity data identical everywhere – website, GBP, citations, social profiles. AI systems cross-reference entity consistency in the same way Google’s local algorithm does, and mismatches reduce citation confidence.
Platform differences: Google AI, ChatGPT, Perplexity, Gemini
| Platform | What it favours | Local relevance |
|---|---|---|
| Google AI Overviews | Strong correlation with existing organic and Local Pack rankings; schema markup helps selection | High – draws directly on GBP for local queries |
| ChatGPT | Comprehensive, well-sourced, fluent content with clear expertise signals | Currently the hardest platform for local citation; low local recommendation rate industry-wide |
| Perplexity | Real-time web search, strongly favours recent, dated content | Moderate – citation-heavy, transparent sourcing |
| Gemini | Mentions brands conversationally more often than it links to sources | Moderate, growing as Gemini’s user base expands rapidly |
Want your GBP and website working for AI search, not just Google Maps?
We build the schema, FAQ content and profile completeness that feed both the Local Pack and AI Overviews from the same foundation.
FAQs
Is GEO the same as SEO?
No, but they overlap heavily. SEO targets ranking position in a list of links. GEO targets citation frequency inside an AI-generated answer. Pages ranking at Google position one have a 58% chance of AI Overview citation, dropping to roughly 14% by position ten, so strong SEO foundations clearly help GEO, but they are not the same discipline.
Does my Google Business Profile affect whether AI tools recommend me?
Yes, for local queries specifically, Google’s AI Overviews and Gemini draw heavily on Google Business Profile data as a primary structured source, meaning the same completeness and review work that improves your Local Pack ranking also improves your AI visibility.
Should I still invest in traditional SEO if AI search is growing?
Yes. The two practices share technical foundations, and GEO is best understood as an extension layer on top of solid SEO rather than a replacement for it, since AI systems still draw heavily on the live web to generate their answers.
Data referenced: Search Engine Land / SOCi AI local visibility analysis 2026; BrightEdge AI Overview citation study 2026; GEO: Generative Engine Optimization, Princeton/Georgia Tech/Allen Institute for AI, KDD 2024; Growth Memo AI citation-rate analysis 2026.