Search is no longer always a list of links. Customers increasingly see generated summaries, comparisons, follow-up questions, and AI-assisted recommendations before they decide which website to visit.
This has created a rush of new labels such as Answer Engine Optimisation (AEO) and Generative Engine Optimisation (GEO). For a small business, the useful question is simpler: what should change on the website, and which expensive “AI search hacks” can be ignored?
Google’s latest answer is reassuring. In its July 2026 guide to optimising websites for generative AI features, Google says established SEO remains the foundation for visibility in AI Overviews and AI Mode. There is no separate shortcut that replaces a useful, crawlable, trustworthy website.
How AI Search Finds Information
Google explains that its generative search features remain connected to its core index and ranking systems. Two techniques help explain why:
- Retrieval-augmented generation: The system retrieves relevant, current pages and uses them to ground a generated answer, with links that support the response.
- Query fan-out: The system may issue several related searches to understand different parts of a detailed question rather than relying on one exact keyword phrase.
This means a page can be useful for a specific part of a customer’s question even when it does not repeat the exact wording they typed. Clear expertise and relevant detail matter more than producing dozens of near-identical pages for keyword variations.
SEO Is Still Relevant
AI search has changed the presentation of results, but the route into those results still depends on familiar fundamentals. A page generally needs to be accessible to search engines, indexable, technically sound, and good enough to be selected as a supporting source.
For small-business websites, the priorities remain:
- A clear service or product page for each genuine offer.
- Accurate titles, headings, internal links, and contact information.
- Fast pages that work properly on mobile devices.
- Original content based on real experience.
- Consistent local-business and product information.
- Pages that search engines can crawl and return with a successful status.
Google also recommends using Search Console to find indexing and technical problems. Structured data remains useful for established search features, but it must describe content that visitors can actually see.
The Content AI Search Can Use
Generic summaries have become cheap to produce. That makes first-hand, non-commodity information more valuable.
A local accountant does not need another article that merely defines bookkeeping. A stronger page might explain the five errors found during actual year-end clean-ups, show an anonymised example, state which records were missing, and give readers a checklist to prevent the same problem.
Useful source material includes:
- Original photographs, demonstrations, and videos.
- Real project constraints and how they were resolved.
- Pricing factors and what changes the final cost.
- Service-area details that are genuinely different by location.
- Named processes, checklists, measurements, and examples.
- Expert commentary that takes a clear, supportable position.
- Frequently asked questions taken from real customer conversations.
Google’s guidance on using generative AI content on a website does not ban AI assistance. It warns that generating many pages without adding value may breach the policy on scaled content abuse. AI can help research and structure a piece, but accuracy, originality, and editorial responsibility still belong to the publisher.
AI Search Myths to Ignore
You need an llms.txt file for Google
Google says it does not use llms.txt files for Search, including its generative AI features. Creating one may serve another platform, but it does not improve Google visibility or ranking.
Every paragraph must be “chunked” for AI
There is no required paragraph length or special AI-writing format. Good headings and readable sections help people, but pages should be organised for the subject and audience rather than split into unnatural fragments.
You need special AI schema
There is no special schema markup required for Google AI search. Continue using appropriate established structured data where it accurately represents the visible page and makes the content eligible for relevant rich results.
You should publish every possible keyword variation
Near-duplicate pages add little value and may waste crawling resources. One strong page that answers a topic comprehensively is usually a better asset than many thin rewrites.
A Practical AI-Search Content Plan
- Fix the technical base. Confirm important pages are indexable, mobile-friendly, internally linked, and returning a successful status.
- Strengthen core service pages. Explain who the service is for, the process, evidence, limitations, price factors, location, and next step.
- Capture first-hand knowledge. Interview the people who deliver the work and turn recurring customer questions into specific articles.
- Add proof. Use case studies, original images, qualifications, measurements, reviews, and clearly attributed sources.
- Connect related pages. Link articles to the relevant service and link service pages to deeper explanations.
- Maintain important facts. Review dates, prices, regulations, opening hours, staff details, and availability.
- Measure business outcomes. Track enquiries, calls, bookings, sales, and engaged visits rather than treating rankings as the only result.
What This Means for Small Businesses
AI search rewards a principle that good businesses can act on: publish information that could only credibly come from your experience. A polished summary of common knowledge is easy to replace. A useful explanation supported by real work, clear evidence, and accountable expertise is much harder to substitute.
The best response to AI search is therefore not to rebuild your website around a new acronym. Keep the technical foundations sound, make your offers unambiguous, and turn the knowledge inside the business into pages customers genuinely need.