Key takeaways
AI tool usage for local search jumped from 6% to 45% in a single year (BrightLocal 2026).
Google is still the main starting point: 61% of US consumers began their latest local search on Google Search or Google Maps, while 23% used AI during it (BrightLocal Consumer Search Behavior 2026).
AI tools read the actual text of your reviews, not just your star rating, so review content quality matters in a new way.
LocalBusiness and Speakable schema are the clearest signals you can give AI tools about who you are and where you operate.
Most businesses that already do traditional local SEO well are already halfway to being AI-ready.

01. How AI has changed local search in 2026

This isn't a prediction about where local search is heading. It already happened. Between 2025 and 2026, the way people find local businesses changed more than it had in the previous decade, and the data backs it up clearly.

AI tools for local search
6%
2025
45%
2026
Used AI in their latest local search
23%
2026

Source: BrightLocal Local Consumer Review Survey 2026.

Google is still the biggest single channel by a wide margin, so nothing in this guide suggests abandoning traditional local SEO. What it does mean is that a growing slice of the people looking for a business like yours are asking an AI tool instead of typing into Google, and those tools work differently enough that they deserve their own strategy.

Why this happened so fast
AI assistants became genuinely good at conversational, context-aware answers around the same time they got integrated into browsers, phones, and everyday apps. Asking "find me a good dentist near the office that takes walk-ins" got a useful answer for the first time, and people noticed.

02. AI Overviews and what they mean for the Map Pack

AI Overviews are the AI-generated summary that now appears above traditional results for many Google searches, including local ones. For a query like "best pizza near me," an AI Overview might summarise a handful of nearby options in a paragraph before the Map Pack even loads.

This matters because it adds a layer between the searcher and the Map Pack. Someone who reads a satisfying AI Overview might never scroll down to the map at all. Being included in that summary now carries real value, and the signals that earn inclusion overlap with, but aren't identical to, standard Map Pack ranking factors.

The practical response is the same one that runs through this whole guide: strong structured data and genuinely detailed content give Google's AI systems more to work with than a sparse, unclear profile ever will.

03. How ChatGPT recommends local businesses

What ChatGPT actually looks at

ChatGPT doesn't have its own local business index the way Google Maps does. When it answers a local query, it's pulling from a mix of web search results, structured data it can find on your site, and whatever context the user has already given it. That means the businesses it surfaces tend to be the ones with the clearest, most consistent web presence, not necessarily the ones ranking highest in the Map Pack.

Three things noticeably improve your odds of being mentioned: a website with clear LocalBusiness schema, reviews with real descriptive text rather than a bare star rating, and consistent business details across your site, your Google Business Profile, and major directories. When those three line up, ChatGPT has a confident, verifiable answer to give. When they don't, it tends to hedge or skip you entirely.

04. How Google Gemini handles local queries

Gemini's advantage: direct access to Google's local index

Gemini has something ChatGPT and Perplexity don't, direct access to Google's own Maps and Business Profile data. That means everything covered in our GBP optimization guide feeds Gemini's local answers too, often more directly than it feeds a general web search.

In practice, this means the same fundamentals that win the Map Pack tend to carry over to Gemini: accurate category, strong reviews, and a complete profile. The difference is that Gemini is more likely to synthesise an answer from several sources rather than just listing three pins on a map, so review text and website content matter more here than they do for a plain Map Pack search.

05. Perplexity and local business discovery

Perplexity's citation-first approach

Perplexity is built around citing its sources, and it shows those citations openly. For local business queries, that usually means it's pulling from a handful of high-authority pages, think review sites, local publications, and well-structured business websites, then summarising and linking back to them.

Being cited by Perplexity depends heavily on being findable and clear on the open web, not locked behind a login or buried in a slow, poorly structured site. A fast, well-organised website with genuine content about your services and location gives Perplexity something solid to cite. A thin site with little more than a contact form usually doesn't.

Not sure if your site sends the right signals?
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06. AEO, Answer Engine Optimization, for local businesses

AEO stands for Answer Engine Optimization. It's the practice of structuring your content so an AI tool can pull out a clear, direct answer, rather than writing purely for a human scanning a page of blue links. It sits alongside traditional SEO instead of replacing it.

For a local business, AEO usually comes down to a few concrete habits. Answer common customer questions directly and plainly on your site, in the same words a customer would actually use. Use clear headings that match real questions, like "Do you take walk-ins?" rather than vague ones like "Our Services." Keep your business details consistent everywhere, since AI tools cross-check for that consistency before trusting a source enough to cite it.

None of this requires a rewrite of your whole site. Most businesses can get most of the benefit by adding a short, honest FAQ section written in plain language, and making sure it matches what's on their Google Business Profile.

07. Speakable schema, what it is and how to add it

Speakable schema is a type of structured data that flags specific parts of a page as suitable for being read aloud or summarised by voice assistants and AI tools. Instead of guessing which paragraph to pull, the AI tool can go straight to the section you've marked as the clearest, most speakable summary of your content.

It works using CSS selectors. You point Speakable schema at the exact elements on your page that contain your best summary content, often your intro paragraph or your FAQ answers, and search engines and AI tools know exactly where to look.

Example: Speakable schema markup
{ "@context": "https://schema.org", "@type": "SpeakableSpecification", "cssSelector": [".intro-summary", ".faq-answer"] }

The cssSelector array can point to any class on your page. Just make sure the content inside those elements actually reads well out loud, in complete sentences, without relying on visuals or layout to make sense.

Where to start
If you only add Speakable schema to one thing, make it your homepage intro paragraph and your top three FAQ answers. Those are the pieces most likely to get pulled into an AI summary or voice response.

08. Your AI-era local SEO checklist

Most of this checklist overlaps with good traditional local SEO. The parts that are genuinely new for 2026 are marked below.

Schema markup
Add LocalBusiness schema to your homepage and contact page. Add Speakable schema to your intro and FAQ content.
Review text quality
Encourage customers to write a sentence or two about what they actually experienced, not just a star rating.
NAP consistency
Keep your name, address, and phone number identical across your site, GBP, and directories, since AI tools cross-check this before trusting a source.
Entity signals
Make sure your business description reads the same way everywhere it appears, so AI tools can confidently treat you as one consistent entity.
AI crawler access
Decide deliberately whether to allow GPTBot, PerplexityBot, and similar crawlers. Blocking them trades away visibility in this channel.
Plain-language FAQ
Answer the questions customers actually ask, in the words they'd actually use, not marketing language.

Ready to check your AI crawler settings? Use our free robots.txt generator, which includes dedicated toggles for GPTBot, ClaudeBot, PerplexityBot, and CCBot, along with a plain-language explanation of what blocking each one actually costs you.

Frequently asked questions

Not entirely. The fundamentals overlap heavily with traditional local SEO. The main additions are stronger schema markup and more detailed, specific review content, since AI tools read those signals more closely than the Map Pack algorithm does.
AEO stands for Answer Engine Optimization. It means structuring your content so AI tools and answer engines can extract a clear, direct answer from it, rather than optimising purely for a list of blue links.
For most local businesses, no. Blocking crawlers like GPTBot or PerplexityBot can reduce your visibility in a channel 45% of consumers now use. It's a legitimate choice for some businesses, but it comes with a real visibility tradeoff.
Speakable schema flags specific sections of a page as suitable for being read aloud or summarised by voice assistants and AI tools. It uses CSS selectors to point to the exact content you want surfaced.
Arguably more, because AI tools read the actual text of your reviews rather than just the star rating. Detailed, specific reviews carry more weight in an AI-generated recommendation than short, generic ones.
Not yet. In BrightLocal's 2026 research, 61% of US consumers began their latest local search on Google Search or Google Maps, while 23% used AI during that search. AI tool use for local recommendations rose from 6% to 45% year on year. Google Maps is still the largest single channel, just no longer the only one that matters.
The DigiPrio Team
Local SEO specialists, updated monthly with current ranking data