AEO for local businesses: what the research actually shows

If you've searched "AEO for small business", you've probably noticed two things. Every article tells you something different, and most of them are trying to sell you a tool, a course, or a retainer.

So here's the straight version, written for a local business owner who wants the honest picture without the panic — and grounded only in research we verified directly at the original publishers: Google, Ahrefs, Local Falcon, BrightLocal, SOCi, Semrush and Cloudflare. All published in the last 12 months. Sources at the bottom.

This article is a follow-up to our earlier piece on how AI is rewriting search — read that first if you want the wider picture. This one focuses on AEO specifically: what it is, what it isn't, and what a local business actually needs to do.

What AEO actually is

AEO stands for Answer Engine Optimisation. The idea: instead of optimising your business to rank as a link on Google, you optimise it to be the business that AI assistants — ChatGPT, Perplexity, Google's AI Overviews, Gemini — actually recommend when someone asks them a question.

There's a sister acronym, GEO (Generative Engine Optimisation), which means roughly the same thing. Both have been heavily marketed in 2026 as a new discipline you need to learn and a new budget line you need to fund.

The longer answer is below.

What's actually changing for local businesses

Consumer behaviour is moving, and fast.

BrightLocal runs an annual local consumer survey that's been going since 2010. Their March 2026 edition surveyed 1,002 US adults and found the share of consumers using AI tools to find local businesses jumped from 6% to 45% in a single year. AI is now their third most common starting point for local discovery, behind only Google and Facebook.

But the same survey shows what they do next. 88% of consumers who use AI for local recommendations fact-check what the AI tells them — usually by reading actual reviews and verifying business information. AI hasn't replaced the trust signals customers have always used; it's pushed those signals to the front of the buying process.

On the click side, the picture is calmer than the headlines suggest. Cloudflare's 2025 Year in Review reported that Google sent nearly 90% of all search referral traffic across their global network last year. AI activity is growing fast (AI tools fetching webpages on behalf of users grew 15x in 2025), but the customer clicks landing on local business websites are still overwhelmingly coming from regular Google search.

How often do AI Overviews actually appear on local searches?

This is the question that gets most distorted in agency pitches. Here's what the credible primary research actually shows.

Ahrefs ran the largest study we could find — 146 million search results pages analysed in September 2025. Their finding: AI Overviews trigger on 7.9% of queries categorised as "local searches".

Local Falcon ran a different study — 4,423 businesses, 60,000 queries, 20 countries. Their headline result: 40.2% of "local business" searches trigger an AI Overview.

Both numbers are real. They look contradictory until you read what each study actually counted. Ahrefs counted simple "near me" style queries. Local Falcon counted any query about a local business, including informational ones like "what services do HVAC contractors offer?" and "why choose a certified electrician?". Inside Local Falcon's own data, the commercial queries that actually lead to bookings triggered AI Overviews only 17.2% of the time, and pure "find this business" queries only 10.5%.

So here's the actually useful number for a small business:

The other 80–90% of the time, your customers still see a regular Map Pack and links exactly the way they always did. AI Overviews are much more common on broader, research-style questions ("how does laser dentistry work?", "what to look for in a removalist") — the kind of search that happens earlier in the buying journey, before the customer is ready to choose someone.

What actually makes AI recommend a local business

When AI does recommend a local business — whether inside an AI Overview, a ChatGPT response, or a Gemini answer — what makes it pick one business over another?

SOCi published the most relevant primary research on this in January 2026, analysing 350,000 business locations across 2,751 multi-location brands. Two findings stand out.

First, AI is far more selective than Google. ChatGPT recommends only 1.2% of business locations it could potentially recommend, compared to Google's Local Pack, which surfaces around 36%. By their measurement, AI visibility is roughly 30 times harder to earn than Local Pack visibility.

Source: SOCi 2026 Local Visibility Index. Analysis of 350,000 business locations across 2,751 brands.

Second — and this is the part that matters most — what makes the difference. From SOCi's own write-up:

Two specific findings worth knowing as a small business:

• Locations recommended by ChatGPT averaged 4.3-star ratings. Below that, you're unlikely to be considered at all.
• AI systems cross-reference signals across multiple platforms — Google Maps, Yelp, Facebook, brand websites and review platforms. They reward businesses with consistent, active presence across multiple places rather than strength in a single channel.

The honest read on this: AI hasn't invented new ranking factors. It's looking at the same signals Google has always looked at — but it's applying them more strictly, and it's leaning especially hard on signals that are difficult to fake. Active engagement. Real customer behaviour. Consistent presence across the platforms a real, well-run business would actually appear on.

What Google itself just said about all this

On 15 May 2026, Google published its first official guidance on optimising for AI search. The headline statement:

For local businesses, Google's documentation has a paragraph worth reading directly:

In plain English: Google itself is telling local businesses that your Google Business Profile is the data feeding both Google's regular results and its AI answers.

The same documentation explicitly lists five things small businesses don't need to do for AI search visibility on Google. This matters because most of these are being sold right now as essential AEO services:

• You don't need to add an llms.txt file or special AI markup.
• You don't need to break your content into AI-friendly chunks.
• You don't need to rewrite your content in a special AI style.
• You don't need new schema specifically for AI.
• You don't need to chase brand mentions on random websites.

If a digital agency or freelancer is currently pitching you any of those five things as essential, you have Google's own published position to point them at.

What you can safely skip

Three categories of AEO services being sold to local businesses that, based on the evidence, don't earn their fee:

1. The technical AEO bolt-ons

llms.txt files, AI-specific schema, content chunking, "AI rewrites" of your existing website. Google says these aren't required, and no credible primary research suggests they meaningfully influence visibility on the other platforms either.

2. "AI mention" packages

Paying for your business to get mentioned across various low-quality sites in the hope it boosts AI recommendations. Google's documentation specifically calls this out. The actual research points to real reviews and authentic engagement mattering far more than fabricated mention volume.

3. Confident single-percentage stats in cold pitches

"AI Overviews now appear in 70% of local searches!" — the credible studies give very different answers depending on how they defined "local search". If someone leads with a single confident number, ask them which study it's from and what was actually measured.

What's actually worth focusing on

The research above points to a clear pattern: AI systems are looking for businesses that behave like genuinely active, trusted local businesses — not businesses that have optimised their website for AI. For a small business, that translates into a small number of things worth doing well. For a more detailed breakdown of what drives Map Pack visibility specifically, see our guide to ranking in the Top 3 on Google Maps in Australia.

1. Keep your Google Business Profile genuinely alive

Google itself names it as the data feeding both regular search and AI answers. But there's a difference between a Business Profile that exists and one that's actively maintained — recent photos, current hours and services, posts that go up regularly, questions answered, attributes filled in properly. AI systems read activity signals, not just data fields.

2. Build review velocity that looks natural

SOCi found AI-recommended businesses sit at 4.3 stars on average, and BrightLocal found 88% of AI users go to read actual reviews after getting a recommendation. What matters isn't just star rating — it's a steady, recent flow of real reviews that mention your services specifically. A business with 200 reviews from three years ago is in a worse position than a business with 40 recent ones.

3. Get your business data consistent everywhere it appears

Same name, same address, same phone, same categories on every directory, social profile, and local platform. AI systems cross-reference these to verify you're a real, well-managed business. Mismatches reduce their confidence.

4. Be present on the platforms that actually matter for your category

Industry bodies, legitimate review platforms (TripAdvisor, Yelp, True Local, Yellow Pages, sector-specific platforms), supplier directories, and "best of" lists in your area. AI rewards businesses that appear across multiple credible sources, not businesses that paid to appear on hundreds of low-quality directory sites.

5. Write the few pages on your site customers actually ask about — in your own words

Google's documentation specifically rewards content based on first-hand experience over generic information. For a small business, that means real job write-ups, real answers to the questions your customers ask, your actual expertise on the page — not generic "tips" content any AI could already produce.

6. Generate real engagement in your local area

This is the one most AEO articles don't talk about, because it's harder to sell as a service. But the research points to it directly. AI systems are looking for businesses with active local engagement — real customer behaviour, recent interactions, signals that look like a busy, living business. The businesses that win at this aren't the ones with the cleverest content strategy; they're the ones where the underlying business activity is real and consistent.

7. Test where you appear in AI tools every quarter

Open ChatGPT, Gemini and Perplexity. Ask the questions your customers ask. If you're absent, that's a signal to strengthen the fundamentals above — not a signal to buy an AEO product.

The bottom line

AI is genuinely changing how customers research local businesses. The jump from 6% to 45% of consumers using AI tools for local recommendations in a single year is a real, measurable shift, not a marketing exaggeration.

But the underlying signals AI uses to decide which businesses to recommend haven't changed dramatically. They've become stricter. AI is roughly 30 times more selective than Google's traditional Local Pack, and the threshold for being considered (a complete and active profile, recent reviews, 4.3+ stars on average, consistent information across the web) is now the threshold for being visible at all in AI answers.

There's no separate "AEO retainer" a small business needs to add on top of solid local visibility work. The work is the same work. The standards have risen. The opportunity is real — but it goes to businesses where the underlying activity is genuinely strong, not businesses that buy the latest acronym.

If you're being pitched an AEO product, the question worth asking is: which credible primary research supports this specific tactic, what was actually measured, and can I read the original source myself? That single question, politely asked, tends to clarify what kind of conversation you're actually in.

Sources: Google, Optimizing your website for generative AI features on Google Search, developers.google.com/search/docs/fundamentals/ai-optimization-guide (15 May 2026); Ahrefs (Ryan Law & Xibeijia Guan), What Triggers AI Overviews?, ahrefs.com/blog/ai-overview-triggers (10 November 2025); Local Falcon, The Impact of Google AI Overviews on Local Business Search Visibility, localfalcon.com (May 2025); BrightLocal (Rosie Murphy), Local Consumer Review Survey 2026, brightlocal.com/research/lcrs-ai-trust (March 2026); SOCi, 2026 Local Visibility Index, soci.ai (January 2026); Semrush, AI Overviews Study, semrush.com/blog/semrush-ai-overviews-study (December 2025); Cloudflare (David Belson), The 2025 Cloudflare Radar Year in Review, blog.cloudflare.com/radar-2025-year-in-review (December 2025).