Local AEO
AI visibility for local businesses: getting cited when buyers ask AI for someone nearby
By Arnav Mukherjee, founder of TofuBofu · July 16, 2026
Two agency owners posted their local AEO playbooks in the r/aeo community recently, one charging around $4,500 a month, another closer to $12,500. Different clients, same core method. They both localize their buyer prompts down to the state and town, obsess over the client's Google Business Profile, track which firms are winning the local AI answers, and use call tracking to prove the leads are coming from AI. That entire business exists because of one shift: buyers now ask AI for the best provider near them, and most local firms are missing from that answer.
If you run a city-bound services firm, an MSP serving one metro, an accounting practice, a consultancy that only takes local clients, this is your version of the AI visibility problem. It is not quite the same as a national brand's, because a local buyer question asks the engine to do something extra: not just who is good at this, but who is good at this here. This post is about winning that second half.
The local AI question is a two-part question
When someone asks an engine for the best managed IT provider in their city, or the best accountant near them for a specific situation, the model has to satisfy two conditions before it names you. You have to read as relevant to the category, and you have to read as located where the buyer is. National AI visibility work gets you the first. It does nothing for the second. A firm can be genuinely excellent at what it does and still never surface for a local query, simply because the engine has weak evidence about where it is.
This is also why measuring yourself on national queries is a trap for a local firm. If you sell to one region and score yourself against the whole country, you will look invisible in races you were never in, and miss the local questions you could actually win. We ask every firm we scan where they sell for exactly this reason, so a city-bound business gets measured on localized buyer questions rather than national ones it has no reason to appear in. Measuring the right question is half the battle.
Why AI leaves local firms out
The location half fails quietly, and for boring reasons. Your city barely appears in your content, so the engine has little text tying you to the place. Your name, address, and phone number differ across your site, your Business Profile, and the directories you are listed on, so the model cannot resolve you into one confident local entity. Your Google Business Profile is unclaimed or half-filled. You have few local reviews. None of these are dramatic failures. Together they mean that when the engine reaches for the local option, it finds firms with cleaner, more consistent location evidence and names them instead.
The frustrating part is that the firms getting named are not always better than you. They are better corroborated. Local AI visibility rewards the business whose location facts are unambiguous and repeated across many independent sources, the same way general AI visibility rewards corroboration, just with geography added to what has to line up.
See if AI names you for your city's buyer questions
A free scan runs localized buyer questions across six AI engines and shows you where you are named, where a nearby competitor takes the answer, and where nobody local shows up at all.
Run your free scanThe local corroboration stack
Here is the order I would work in as a lean local firm, cheapest and highest-leverage first. None of it requires a developer.
1. Localize the questions you measure
Before anything else, measure the right race. Write out the questions your buyers actually ask with the geography in them, best provider in your city, a firm near a specific area for a specific need, and track those, not national head terms. This tells you which local answers you already win and which you are missing, so the rest of the work has a target.
2. Claim and complete your Google Business Profile
This is the single most structured statement that you exist at a location doing a specific thing. Claim it, fill every field, pick accurate categories, keep the hours and contact details current. An unclaimed or thin profile is one of the most common reasons a real local firm reads as ambiguous to AI, and fixing it costs nothing but an afternoon.
3. Make your name, address, and phone identical everywhere
Your site, your Business Profile, LinkedIn, and every industry directory should show the exact same name, address, and phone number, formatted the same way. Inconsistent details make the engine unsure it is looking at one business, which weakens every other signal. Consistency here is unglamorous and disproportionately powerful.
4. Build local reviews and citations
Reviews on your Business Profile and on the directories your category trusts, plus mentions in local business listings and press, are the independent corroboration that you are an active, real, local provider. Ask satisfied clients directly. Review count alone will not crown you, but a firm with no local reviews looks unestablished to an engine choosing whom to trust.
5. Publish genuinely useful city-service pages
Pair your service with the location on a page that answers the questions a local buyer asks, honestly and specifically, not a thin template with the city swapped in. Give it question-shaped headings and, where it fits, FAQ schema. This hands the engine a clear, retrievable statement that you do this work in this place, which is exactly the evidence the local question needs.
6. Re-scan with localized queries and watch the answers move
Run the localized questions again on a monthly cadence. Search-grounded engines will pick up your Business Profile and site changes first. Where a competitor still gets the local answer and you do not, that is your next target. Map, fix, re-scan: the loop is the same as national work, just measured on the questions that carry your geography.
Why local is the easier game to win
Here is the encouraging part. A national brand competes against everyone in its category. A local firm competes only against the handful of providers in its area, and most of them have done none of this. The agencies charging four and five figures a month for local AEO are not doing anything mysterious, they are doing disciplined fundamentals in a market where almost no one else is doing them at all. The pool is small, the competition is asleep, and the location signals that win are entirely within your control. That is a rare combination, and it will not stay uncontested forever.
Frequently asked questions
How do I get my local business recommended by ChatGPT?
Give the engine two things at once: proof you are relevant to the category and proof you are located where the buyer is asking. That means clear category and city language on your site, a complete and consistent Google Business Profile, matching name-address-phone across directories, local reviews, and a few city-specific pages that answer local buyer questions. AI recommends locally when both the relevance and the location signals line up, and stays silent when either is missing.
Does Google Business Profile help with AI visibility?
Yes, indirectly but meaningfully. A complete, accurate Google Business Profile is one of the strongest, most structured statements that you exist at a specific location doing a specific thing, and it feeds the local layer that search-grounded engines and Google AI Overviews draw on. It is not a magic switch on its own, but an unclaimed or half-filled profile is a common reason a real local firm reads as ambiguous to AI.
Why doesn't AI mention my business for near me or city searches?
Usually because the engine cannot confidently tie you to the place. If your city barely appears in your content, your name-address-phone details differ across listings, your Business Profile is thin, and you have few local reviews, the model has weak evidence that you are the local option. It defaults to the firms with stronger, more consistent local corroboration, even if you serve the area just as well.
Do I need city-specific pages for AI search?
For a firm bound to specific cities or regions, yes, they help a lot. A page that pairs your service with the location, and answers the questions a local buyer actually asks, gives the engine an explicit, retrievable statement that you do this work in that place. Keep them genuinely useful and specific to the location, not thin doorway pages with the city name swapped, which add no real evidence and can hurt you.
How important are local reviews for AI recommendations?
They matter as corroboration. Reviews on the platforms your industry and area use, from your Google Business Profile to the directories your category trusts, are independent confirmation that you are a real, active local provider. Review count alone does not buy a top spot, but the presence of consistent local reviews is a gate: firms without them look less established to an engine trying to decide who the trustworthy local option is.
Should a local firm track national or localized AI queries?
Localized. If you sell to a city or region, scoring yourself on national queries measures a race you are not running and makes you look worse than you are. The queries that matter are the ones your buyers actually ask, with the geography in them: best provider in your city, a firm near a specific area for a specific need. Track those, because they are the answers you can realistically win and the ones that bring you business.
Is local AEO different from national AI visibility work?
The core is the same, clear content and third-party corroboration, but local adds a geography filter on top. A national firm needs to be read as relevant to the category. A local firm needs that plus unambiguous location signals: Business Profile, consistent contact details, local reviews, and city-service pages. The relevance work alone will not get you named for near-me questions if the location evidence is weak, and vice versa.
Sources and further reading
- G2 2026 AI Search Insight Report: 51% of B2B buyers start research on an AI chatbot, including buyers looking for a provider in their area
- Profound research on AI answer engines: how corroboration across more independent sources compounds the odds of being cited, the mechanism behind local citations too
- Why Reddit, G2, and third-party mentions move AI answers: why independent sources, including local ones, outweigh your own site