Search Is Changing — Fundamentally
Google's AI Overview now appears at the top of the majority of search results, directly answering queries before users ever see a traditional website link. ChatGPT, Perplexity, Gemini, and Claude are increasingly used as search alternatives — and they cite sources differently from Google's traditional algorithm.
For UK small businesses, this means traditional SEO alone is no longer enough. Your website needs to be optimised not just for how search engines crawl and index pages, but for how AI systems read, understand, and decide whether to cite your content in their answers.
This isn't a future problem. It's happening now, and businesses that aren't adapting are already losing visibility to competitors who are.
What AI Search Optimisation Actually Means
Schema markup and structured data: AI engines rely heavily on structured data to understand what your business is, what you do, and what your content covers. I implement comprehensive schema markup — Organisation, Person, Service, Article, FAQ, Product, BreadcrumbList, and Speakable — giving AI systems a machine-readable map of your entire business.
Entity-based SEO: AI search engines recognise entities — people, businesses, products, concepts — and build knowledge graphs around them. I establish your business as a clearly defined, consistently described entity across your website, Google Business Profile, LinkedIn, industry directories, and structured data. When AI encounters a consistent entity signal across multiple sources, it trusts and cites that entity.
Generative Engine Optimisation (GEO): This goes beyond Google. GEO is about making your content citable and referenceable by all generative AI systems — ChatGPT, Perplexity, Gemini, Claude, and Copilot. This includes llms.txt files (the AI equivalent of robots.txt), clear definitional statements, answer-optimised content, and semantic structuring that AI can extract and cite.
Answer-optimised content: AI Overviews and generative search tools surface content that directly, clearly, and concisely answers questions. I restructure your content to include clear definitional statements, FAQ sections, and natural-language explanations that AI can reference — without losing the human quality that builds trust with actual visitors.
Semantic content structuring: Search engines now understand topics, not just keywords. I ensure your content comprehensively covers your subject areas using the language and concepts AI associates with your field — building topical authority that both traditional and AI search reward.
Why This Matters for Small Businesses Specifically
Large brands with established knowledge graph presence and thousands of backlinks will naturally appear in AI search results. Small businesses won't — unless they actively optimise for it.
The good news is that AI search is more meritocratic than traditional SEO in some ways. A small business with excellent structured data, clear entity signals, and well-written answer-optimised content can appear in AI Overviews alongside — or instead of — much larger competitors. The barrier isn't budget or domain authority. It's whether AI can read, understand, and trust your content.
That's what I help with.
Frequently Asked Questions
What is AI search optimisation?
AI search optimisation (also called AIO or GEO) is the practice of structuring your website so that AI-powered search tools — Google's AI Overview, ChatGPT, Perplexity, Gemini — can read, understand, and cite your content in their generated answers. It builds on traditional SEO but adds schema markup, entity signals, and answer-optimised content.
Is traditional SEO dead?
No. Traditional SEO and AI search optimisation work together. Good technical SEO, quality content, and strong backlinks still matter — but they're no longer sufficient on their own. AI optimisation is an additional layer that ensures your content is visible in the new AI-mediated search landscape.
How do I get my business into Google's AI Overview?
There's no guaranteed method, but the strongest signals are: comprehensive schema markup, clear and concise answer-formatted content, strong entity recognition (consistent business information across your site and third-party sources), and topical authority demonstrated through depth of content. I implement all of these systematically.
What is an llms.txt file?
An llms.txt file is a plain-text file that tells AI crawlers what your business is, what you do, and what content matters — similar to how robots.txt tells traditional search crawlers how to navigate your site. It's an emerging standard for AI search visibility.
