The search results page is no longer a list
In 2026, the top of Google is increasingly an AI-generated answer, not ten blue links. When someone searches 'emergency plumber Barking', they may see a synthesised response that names a few businesses before they ever scroll. Being ranked number one organically matters less if the AI summary does not mention you. SEO has not died — it has moved upstream into the sources the AI reads.
What the answer engines read
AI overviews are built from citations — the sites the model trusts enough to quote. To be cited, your content needs to be the clearest, most specific answer to a question, structured in a way a model can extract. That means well-organised headings, direct answers near the top, and facts rather than fluff. Vague, keyword-stuffed content that ranked in 2019 is invisible to an answer engine in 2026.
Local is still the biggest lever
For service businesses, the AI overview for a local query still leans heavily on Google Business Profile data, reviews and local citations. The fundamentals — a complete profile, recent reviews, accurate hours, photos, and consistent name-address-phone across the web — are more important than ever because they are the structured signals the AI can verify. Local SEO is not a legacy tactic; it is the foundation the AI layer sits on.
Writing for extraction, not just ranking
The new skill is writing content that an AI can confidently cite. Answer the question directly in the first paragraph. Use clear question-and-answer structures. Include specific, verifiable facts — prices, areas served, response times — that a model can quote without hedging. A page that says 'we typically respond within the hour across Greater London' is citable. A page that says 'we pride ourselves on excellent service' is not.
The review signal that compounds
Reviews feed two things at once: the local ranking algorithm and the AI summary's confidence in recommending you. A steady drip of recent, specific reviews — mentioning the service, the area, and the outcome — gives both systems fresh signal. Businesses that automate review requests after each job are not just building social proof for humans; they are feeding the machines that decide who gets recommended first.
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