What SEO means in practical terms
SEO helps search engines discover, understand and index a website, then helps the right person recognise that a result is relevant. For a service business, this usually means clear service pages, technically accessible HTML, useful titles and descriptions, sensible internal links, accurate local context and content that answers the questions a buyer asks before making contact.
The useful definition is broader than rankings. A page can rank and still fail if its offer is vague, its proof is thin or the enquiry path is difficult. Search visibility and conversion quality have to be designed together.
- Make important pages crawlable, indexable and internally linked.
- Match each page to a distinct customer need or search intent.
- Explain the offer in language a prospective customer understands.
- Connect visits to meaningful actions such as calls, messages or qualified forms.
What AEO adds
Answer Engine Optimisation is the practice of making reliable information easy to retrieve, interpret and cite in answer-led search experiences. That includes traditional featured answers as well as AI-assisted search products. It is not a separate layer of magic markup.
In practice, AEO rewards editorial clarity: an answer-first opening, descriptive headings, stable facts, identifiable authorship, detailed first-party experience and links that establish how topics and entities relate. Structured data can reinforce those facts, but it should mirror what a person can already read on the page.
Where SEO and AEO overlap
The overlap is substantial. Google’s current guidance says the same SEO best practices remain relevant for AI features and that no special schema or machine-readable file is required. A page still needs to be indexable and eligible to appear with a snippet. Useful text, internal links, page experience, images and structured data that matches visible content all remain important.
That is why I treat AEO as a content and entity-quality discipline built on SEO—not as a replacement for it. If a business has no clear service pages, inconsistent names or shallow proof, adding crawler directives does not solve the real problem.
What AI search changes
Answer-led systems can break a broad question into several related searches, compare sources and compose a response. This creates more opportunities for a page that answers a specific sub-question well, but it also makes unsupported, generic copy less useful.
A service business therefore benefits from publishing information only it can credibly own: how it works, what it has built, what trade-offs it makes, who it helps, where it operates and what evidence is available. Detailed case studies and experience-led articles usually contribute more than a long list of near-duplicate FAQs.
What does not change
Search and AI platforms still decide what they crawl, index, rank or cite. Nobody can guarantee a first-page position or an AI mention. Clear positioning, legitimate authority and a useful customer journey remain business responsibilities—not technical switches.
The basics also remain stubbornly valuable: one canonical page per topic, descriptive links, fast mobile rendering, accurate contact details, accessible content and claims that can be substantiated.
Three misconceptions to avoid
First, an llms.txt file is not an AI-ranking file. It can offer voluntary guidance, but it does not replace crawlability, content or platform-specific controls. Second, schema does not rescue weak visible content. Third, repeating the same question and answer across every page does not create authority; it usually creates noise.
- Do not publish fabricated statistics to make a case study look stronger.
- Do not create dozens of thin articles for minor keyword variations.
- Do not present crawler access as a promise of inclusion.
- Do not let new terminology distract from customer clarity.
What a service business should prioritise
Start with the pages closest to revenue: the homepage, core services, proof, About and Contact. Give each one a clear job. Then build supporting content around real customer questions and actual delivery experience.
My preferred order is technical eligibility, page intent, visible answers, proof, internal linking, measurement and ongoing improvement. For a local business, accurate location and service-area information belongs in that sequence too. This is less exciting than promising instant AI visibility, but it creates an asset the business can keep improving.
The decision is not SEO or AEO
The useful decision is whether the website gives both people and machines enough reliable information to understand and choose the business. If it does not, fix the foundations and the first-party content together. If it does, use real search and conversion data to decide what deserves deeper coverage next.
Official sources referenced
- Google Search Central: AI features and your website
- Google Search Central: SEO Starter Guide
- OpenAI: Publishers and Developers FAQ
External guidance is current as of the updated date above. Platform behaviour and documentation can change.