AI SEO: The 2026 Guide for Small Businesses
How small and medium businesses should optimise their websites so ChatGPT, Claude, Perplexity and Google AI Overviews confidently cite them as the answer.
Half your customers still Google. The other half are increasingly asking ChatGPT, Claude, Perplexity or Gemini. A growing share never see a classic results page at all, they read a single AI-generated answer and act on it.
If your website is not optimised to be that answer, you are invisible to roughly a third of your market. This guide explains, in practical terms, how a small business in Watford, Hertfordshire or anywhere in the UK can fix that.
What AI SEO actually is
AI SEO, also called GEO (Generative Engine Optimisation), is the practice of making your website easy for large language models to:
- Crawl: so they can read your content at all.
- Understand: so they grasp what you sell, where, to whom and with what proof.
- Cite: so when a user asks “best accountant in St Albans” they get your name, your URL and your phone number.
The good news: about 80% of AI SEO is exactly what great classic SEO always has been. The remaining 20% is where most businesses are currently missing out.
The AI SEO foundations (that are also classic SEO)
- Fast, accessible, crawlable site. If Googlebot struggles, so do LLM crawlers.
- Clean semantic HTML. Proper
<h1>,<h2>,<article>,<nav>, not a soup of<div>s. - Concise paragraphs with a single clear fact each. LLMs love pages where one paragraph = one citeable answer.
- Internal linking with descriptive anchor text. “Our CRM development services” beats “click here”.
- Honest facts. Prices, addresses, phone numbers, years in business, specific and consistent site-wide.
The AI-specific 20%
1. Structured data everywhere it makes sense
JSON-LD Organization, LocalBusiness, Service, FAQPage, BreadcrumbList, Article, Product. Every LLM citation we have traced back to a specific technical pattern includes rich, valid structured data on the source page.
2. An /llms.txt file
llms.txt is an emerging standard (proposed 2024, now widely adopted) for summarising your site for large language models. A short, machine-readable index of your most important URLs and what they cover. It is the robots.txt of the LLM era.
3. Entity-linked content
Instead of writing “we serve the surrounding area”, write “we serve Watford, St Albans, Hemel Hempstead and the WD, AL and HP postcodes”. LLMs build their answer from the entities named on the page.
4. Genuinely useful FAQs
Every key service page should have 4–8 frequently asked questions with direct, one-paragraph answers. These are what LLMs most commonly lift into their responses.
5. Freshness signals
Update key pages at least twice a year and include a visible “last updated” date. LLMs that cite via retrieval (Perplexity, Bing Copilot, Google AI Overviews) weight freshness heavily.
What will NOT work
- Keyword stuffing. LLMs are better than Google ever was at detecting it.
- Hidden text or schema that does not match what is on the page, you will get quietly demoted.
- “AI-generated content at scale”. Generic filler without original insight gets ignored by the very models that produced it.
Where to start tomorrow morning
- Run a free Lighthouse audit and fix any Core Web Vitals in the red.
- Add
OrganizationandLocalBusinessJSON-LD to your homepage. - Pick your three most important service pages and add 5 FAQs each with
FAQPageschema. - Create an
/llms.txtfile listing your 10–20 most important URLs. - Ask ChatGPT, Claude and Perplexity “best [your service] in [your town]”, and see who gets cited. That is your competitive set.
If any of this sounds daunting, get in touch, we offer a fixed-fee AI SEO audit that covers all of the above and gives you a prioritised roadmap.