AI is rewriting near-me searches. Here's how to stay visible to your customers.

Type “best coffee shop near me” into Google today and you will probably still see the Local Pack at the top. Ask ChatGPT the same question and you will get a single answer with two or three businesses named. The customer chooses from those names. They never see your website. They never visit a search results page. If the AI did not cite you, you did not exist in that conversation.

For most of the last 20 years, winning local discovery meant ranking on Google. Claim your Business Profile, collect reviews, build a few backlinks, optimize your site. That playbook still works for the half of customers who still Google their way to you. But a growing share of local discovery now happens inside AI assistants, and those engines play by different rules.

This is the most important shift in local marketing since Google Maps. It is happening fast, it is uneven across categories, and most local businesses are not ready. Here is what changed, what AI engines actually look at when they pick which business to recommend, and what you can do this week to stay in the answer.

What changed in 2026

Two forces are reshaping local search at the same time.

1. Google launched AI Mode

AI Mode is Google's conversational answer interface, now rolling out to billions of users. When someone searches a local query that can be answered conversationally, Google increasingly leads with an AI summary at the top of the page. The Local Pack and traditional ten blue links are still there, but pushed below the AI answer, scrolled past, ignored.

That AI summary often names a small handful of businesses. Three names, sometimes one. Studies of AI Mode citations show the pool of cited sources is narrower than traditional rankings and weighted toward businesses with cleaner data, more reviews, and stronger third-party signals. Ranking #1 organically is no longer the same prize. You can be #1 on Google and invisible in the AI summary sitting above it.

2. Customers started asking AI assistants directly

ChatGPT crossed 700 million weekly users. Perplexity, Claude, and Gemini each have hundreds of millions more. When a customer asks “quiet cafe with WiFi near downtown,” “dentist that takes Cigna,” “tattoo artist who does fine line work,” or “best happy hour in the neighborhood,” they increasingly start with an AI assistant instead of Google.

The AI does not give them a list to evaluate. It gives them an answer. The customer calls who the AI named. If you were not named, the customer never knew you existed.

What AI engines actually look at

When an AI engine decides which businesses to recommend for a local query, it does not run the same algorithm as Google's organic search. It looks at a different set of signals, weighted differently. Four matter most.

Google Business Profile completeness

AI engines lean heavily on structured data, and your Business Profile is the most structured source of truth about your business on the open web. Incomplete profiles (missing categories, no services list, no products, sparse hours, no FAQs) get de-prioritized because the AI cannot verify what you actually offer. Complete profiles get cited disproportionately. The 30-minute job of filling out every field you have ignored is one of the highest-leverage things you can do this week.

Review volume, recency, and response rate

AI engines weigh reviews more heavily than Google does because reviews are the largest third-party signal available. Volume matters, but so does recency (reviews older than 18 months are discounted) and response rate (businesses that reply to reviews, positive or negative, signal active ownership). Sentiment matters less than people assume; engines read patterns, not single complaints.

Third-party data consistency

AI engines cross-reference what you say about yourself against what others say about you. If your hours on Yelp disagree with your hours on Google, if your services list on Facebook does not match your website, if your name on a chamber of commerce listing is slightly different from your Business Profile, the engine hedges. It picks a competitor whose story is more legible. Consistent NAP (name, address, phone) plus consistent service and category descriptions across major data sources is now table stakes.

Schema markup and content depth on your site

Schema markup (the structured data hidden in your page source) tells AI engines exactly what your site is about, who runs it, and what you offer. LocalBusiness schema is the floor. FAQPage schema on your services pages, Article schema on your blog, Review schema on testimonial sections, and (where applicable) Menu, Service, or Product schema all matter. AI engines preferentially cite pages with rich, well-formed schema because they can parse them with confidence.

Why some categories are getting hit harder

The shift to AI answers is not affecting every local category equally. High-research categories (medical, legal, financial, anything with a heavy decision cost) are seeing the biggest move into AI conversations because customers want to think before they call. Casual categories (a quick lunch spot, a haircut, a hardware store run) are still mostly Google-driven because the search is fast and the decision is low-stakes.

If you are in a high-research category, you are already feeling this. Web traffic flat or down while bookings are mixed, customers showing up with surprisingly specific questions, fewer comparison shoppers (because the AI did the comparing). If you are in a casual category, you have a longer runway, but the shift is coming. Customers who use AI for one category tend to use it for all of them within a year.

What to do this week

You do not need to overhaul your marketing. You need to close four specific gaps that AI engines are using to score you. Each one is a one-hour job.

1. Complete every field of your Business Profile. Open your Profile, go through every section, fill in the empty ones. Categories, attributes, services, products, hours including holidays, FAQ section, photos in every category. Do not stop at “mostly done.” AI engines penalize incomplete listings; complete ones get cited more.

2. Reply to every review from the last 90 days. Positive reviews get a short thank-you (two sentences). Negative ones get a respectful, specific response (not a template). Both signal active ownership, which is what the engines measure.

3. Add FAQ schema to your top three service pages. Pick the three pages customers visit before calling you. Add a FAQ section with the four or five questions you actually get asked, and wrap it in FAQPage JSON-LD. This single change frequently doubles a page's AI citation rate.

4. Find the five top NAP inconsistencies and fix them. Search your business name in Google and click through every directory result that appears on page one. Compare the listed hours, address, phone, and services to your master truth. Fix the worst five. You will not catch them all today, but the worst offenders do the most damage.

The longer game

The four moves above close the floor. Above the floor is a longer game that combines old SEO with new GEO: building content that AI engines want to cite, earning third-party mentions in trusted local sources, structuring your site so AI can extract clean answers from it, and tracking your AI citation rate weekly so you can see what is working.

The businesses that take both halves seriously, Google and AI, are about to pull significantly ahead of competitors who only watch Google. The gap is small now and will widen quickly through 2026 and 2027.

If you are running a local business and want a starting picture of where you stand, we built Seen exactly for this. Audit your visibility across Google and the five AI engines, see which signals are missing, fix them, monitor what the engines do next. The first audit is free.

Be Seen. On Google. In the AI answer. In the customer's next call.