Local SEO for Small Businesses in the Age of AI Search

Search didn't disappear, it split in two

For years, "local SEO" meant one thing: showing up on Google Maps and in the local pack when someone searched "plumber near me." That still matters. Google is still where most people start.

But a growing number of people are also asking ChatGPT, Gemini, Claude, or Perplexity questions like "what's a good plumber in Denver" or "best coffee shop near downtown Austin." These tools don't work like Google. They don't just crawl your website and rank it. They generate an answer based on patterns learned from training data, plus, in some cases, live web results they pull in at the moment of the question.

That means a business can have a solid Google Business Profile, decent reviews, and a reasonable ranking, and still never get mentioned when someone asks an AI model for a recommendation. Those are two different visibility problems now, and most small businesses are only paying attention to one of them.

What actually influences whether AI recommends you

Nobody outside these AI companies has full visibility into exactly how each model decides what to mention, and it's honest to say that upfront. But some things are reasonably well understood.

AI models tend to lean on content that's clear, structured, and consistently repeated across the web, not just present in one place. A website that clearly states what a business does, where it's located, and who it serves, using plain language rather than vague marketing copy, gives these models something concrete to work with. Structured data (schema markup) helps machines parse that information reliably instead of guessing from paragraphs of prose.

Consistency also seems to matter. If your business name, category, and location are described the same way across your website, directory listings, and other sources, that reinforces a clear signal. If they're inconsistent or vague, the model has less to go on.

None of this is a guaranteed formula. AI recommendation behavior isn't as transparent or as stable as traditional search rankings, and anyone who tells you they've fully cracked it is overselling. What's realistic is improving the basic signals that make it *easier* for a model to understand and mention your business, not guaranteeing a specific outcome.

Where the basics still do the heavy lifting

A lot of small business owners hear "AI search" and assume they need some entirely new strategy. Mostly, they don't. The fundamentals of local SEO are still the foundation:

• •A complete, accurate Google Business Profile
• •A website that clearly states your services, location, and hours in plain text, not just images
• •Meta descriptions and headings that actually describe what the page is about
• •Basic technical health, like reasonable page speed and mobile usability
• •Schema markup that spells out your business type, address, and offerings in a machine-readable format

These aren't new ideas. They're the same things good local SEO has recommended for years. What's changed is that they now double as the raw material AI models use to form an opinion about your business, on top of helping you rank in traditional search.

Where a tool like Belcher fits in

The tricky part is that you can't easily check this yourself. You'd have to open four different AI tools, ask them recommendation-style questions in the way a real customer might, and see whether your business comes up at all, and if it doesn't, you're left guessing why.

That's the specific gap Belcher is built for. It asks ChatGPT, Gemini, Claude, and Perplexity recommendation-style questions relevant to your business and reports back whether you're mentioned. It also reads your website for the basic signals that plausibly influence how AI models understand your business, things like schema markup, meta descriptions, headings, and page speed, and rolls that into an AI Recommendation Score. Where there are gaps, it can generate fix content, schema snippets, FAQ blocks, meta descriptions, that you paste into your own site.

It's worth being clear about what this isn't. Belcher doesn't monitor Reddit threads or review sites, and it can't promise a specific ranking or guarantee an AI model will mention you after changes. What it does is give you an honest, repeatable way to see where you currently stand and fix the parts of your site that are within your control.

In a search landscape that's genuinely getting more complicated, that kind of plain, verifiable check is more useful than another vague promise to "dominate AI search."