Local AEO: how to get your business recommended by AI (2026 playbook)

A dentist in Austin has been in business 15 years, 4.9 stars, more than 600 reviews. A new patient opens ChatGPT and types "best dentist in Austin." ChatGPT names four practices. Hers isn't one of them.

She didn't lose a ranking. She was never in the running, because nobody told her there was a new place to compete. This is the playbook I'd hand her — seven concrete moves, in order, that get a local business recommended by AI. No marketing team required. Most of it is free.

If you want the theory of how AI decides, I wrote that up in GEO for local business explained. This post is the do-this version.

What "answer engine optimization" means for a local business

AEO — answer engine optimization — is getting AI answer engines to recommend you. You'll also hear GEO and "AI visibility" for the same idea. I don't split hairs on the acronym, and neither does Google, whose 2026 guidance calls all of it "still SEO."

For a local business the goal is concrete: when a nearby customer asks an AI "best [your trade] in [your city]," be one of the three to five names it gives back. That's a smaller list than Google's ten blue links, which makes the work below higher-stakes than regular SEO — there are fewer slots to win.

One principle runs through all seven steps: AI names the businesses whose sources agree. It cross-references your Google Business Profile, Yelp, BBB, Angi, local news, and Reddit before recommending anyone. When those agree and look recent, it's confident and names you. When they conflict, it names someone else. Every step below is about making those sources agree.

The 7-step playbook

Do these in order. The early ones are the foundation; the later ones don't pay off until the early ones are solid.

Step 1 — Claim and complete your Google Business Profile

This is the spine. Your Google Business Profile is the most-checked source the AI has about a local business, and Whitespark's Local Search Ranking Factors survey has put GBP signals at roughly a third of local ranking influence for years.

Claim it, verify it, and fill in every field: primary and secondary categories, all your services (with prices where you can), exact hours, 20+ real photos of actual work, the full description, and the Q&A section. A half-built profile is the most common reason a real, good business is invisible to AI. If you do only one thing this month, do this.

Step 2 — Make your name, address, and phone identical everywhere

The AI gets nervous when your details don't match. Your business name, address, and phone number — what the industry calls NAP — have to be spelled and formatted the same way on your website, Google Business Profile, Yelp, BBB, Apple Maps, Bing, and every other listing.

About one in three plumbers I audit has at least one mismatch they don't know about — an old phone number on a directory they forgot they were on, a "St." on one profile and "Street" on another. Each mismatch chips at the AI's confidence. This is tedious and free, and it's worth a Saturday afternoon.

Step 3 — Earn fresh reviews on a steady cadence

Reviews are how the AI judges trust — but recency matters more than raw count. Whitespark's 2026 survey pushed review velocity, meaning a steady stream of recent reviews, sharply up the list of factors. Five new reviews a month beats two hundred that stopped two years ago, because recent reviews signal "still here, still good."

Build a habit: ask three happy customers a week, right after the job, with a direct link to your Google review page. Don't gate it, don't buy them, don't dump fifty at once — a sudden spike reads as fake. Steady wins.

Step 4 — Get present on the directories AI actually trusts

The AI leans on specific sources. BrightLocal's 2025 AI search study found Yelp gets cited in about one in three local-intent AI answers — more than any other directory. So a complete, claimed Yelp profile isn't optional; it's one of the rooms the AI reads.

After Yelp: BBB, Angi, Apple Maps (Apple Business Connect, free), and Bing Places (free, and it feeds Copilot). Claim each, match your NAP exactly, add photos. You're not doing this for the directory traffic. You're doing it because the AI reads these to decide whether to trust you.

Step 5 — Publish pages that answer the exact questions customers ask

This is where the KDD 2024 GEO research pays off directly — Aggarwal and co-authors found that content with citations, statistics, and clear answers earned roughly 40% more visibility inside AI answers. For a local business, that means pages that answer real questions in plain language: "How much does a water heater install cost in [city]?" "Who fixes burst pipes at 2am in [city]?"

Write the question as the heading, answer it directly in the first two sentences, then back it with specifics — local prices, response times, what's different about your city. The AI quotes pages that answer the question cleanly. A vague "about us" page gives it nothing to quote.

Step 6 — Add LocalBusiness schema to your website

Schema is code that tells search engines and AI exactly what your business is — name, address, phone, hours, service area, reviews — in a format they read perfectly. It removes guesswork. Most local business websites don't have it, which means the AI has to infer your details instead of reading them. If you're on Wix, Squarespace, or WordPress, a plugin or a few lines in the head does it. This is a one-time setup that quietly raises confidence across every engine.

Step 7 — Earn a few third-party mentions

The most powerful signal is someone other than you vouching for you. A mention in a local "best [trade] in [city]" roundup, a genuine Reddit thread, a quote in the local paper, a chamber-of-commerce listing — the AI trusts these more than anything on your own site because you didn't write them.

You don't need many. A handful of credible third-party mentions in your city moves the needle more than another ten reviews once your foundation is solid. This is the slowest step, which is why it's last — but it's often the one that flips you from "almost named" to "named."

How long until it works, and how to check

Set the expectation up front: 30 to 90 days. AI engines refresh on long cycles. The fix you make today usually won't change the answer until a later pull. The owners who fail at this are the ones who clean up Yelp on Monday, ask ChatGPT on Tuesday, see no change, and conclude it doesn't work.

To check properly: once a month, ask the engines your customer's exact question — "best [trade] in [city]" — in ChatGPT, Perplexity, and Google's AI Overview. Note who's named and which sources got cited. When you're not named, the cited sources tell you which step above to tighten.

Start here this week

1. Ask the engines your customer's question and read who's named plus the sources.
2. Do Steps 1 and 2 — they're free, they're the foundation, and they're where most of the gap lives.
3. Run a free check. Ours scores all seven steps and names the one holding you back, instead of leaving you to guess.
4. Fix the weakest step, wait a month, re-check.

If you'd rather see exactly where you stand before you start, run our free 5-minute audit. It checks the same things AI checks — GBP completeness, NAP consistency, review recency, directory presence, and live AI citations across ChatGPT, Perplexity, and AI Overviews — and tells you the first move. When you want software to track your AI visibility over time, see the best AI visibility tools for local businesses.

Sources:

• Aggarwal et al., "GEO: Generative Engine Optimization," KDD 2024
• BrightLocal — AI search study & consumer research (2025–2026)
• Whitespark — Local Search Ranking Factors (2026)
• Google Search Central — AI features and your site (2026)