If you have been running a local business for more than five years, you have already survived one major platform shift: the move from Yellow Pages and word-of-mouth to Google. That shift took about a decade to fully play out; and the businesses that understood it early built advantages that lasted years.
The shift to AI-mediated discovery is faster; and the mechanics are different enough that the Google playbook does not transfer cleanly. Here is what has actually changed, what is the same, and what you should focus on.
What has genuinely changed
The answer surface is narrower. Google returns ten blue links. AI systems return one synthesised paragraph with two or three named options. You are either in the answer or you are not. There is no position three that still gets clicks.
The ranking signals are different. Google weights PageRank (incoming links), on-page keyword optimisation, and page experience signals. AI systems weight entity confidence (do they know unambiguously who you are?), third-party corroboration (do trusted sources mention you?), and topical depth (are you the most comprehensive, structured answer to the question?). These overlap with traditional SEO but are not the same problem.
The query format has changed. Buyers used to type two-word queries: “electrician Northcote”. They increasingly ask full questions: “who is the most reliable licensed electrician for a full house rewire in Northcote; I need someone who can work around a tenant?” The specificity of the query means the specificity of your entity signals matters more than it used to.
Citations matter more than links. In the Google era, a backlink from a quality site was the primary authority signal. In the AI era, an unlinked brand mention in a trusted source (a trade magazine article, a local council recommendation page, a Reddit comment thread, an industry association directory) is often as valuable as a backlink. The model does not crawl link graphs; it reads corroboration.
What has not changed
Being genuinely good at what you do is still the foundation. AI recommendations, like Google rankings, eventually reflect reality. Businesses with consistent reviews, genuine service depth, and real customer outcomes build sustainable AI visibility. The ones gaming signals without underlying quality will see their index decay as the models encounter contradictory signals.
Consistency matters. In the Google era, NAP consistency across directories was important for local rankings. It is equally important for AI entity confidence. The principle is the same; the reason is slightly different.
Being findable is not the same as being chosen. AI SEO gets you in the answer. Converting that appearance into an enquiry or a booking still depends on your website, your reviews, your responsiveness, and the quality of your actual offer.
The practical action right now
- Run the free scan and get your baseline number
- Audit your NAP consistency across all directories (we find at least three discrepancies in every business we audit)
- Add LocalBusiness schema to your website with all relevant fields
- Get your business into two or three industry-specific or local-authority directories you are not currently in
- Rewrite your homepage opening paragraph so the first 80 words establish who you are, where you are, what you do, and who you serve; in plain, specific language
None of that requires an agency. It requires an hour and a willingness to treat your business web presence as a structured data problem, not just a design problem.