Attracting Local Customers: What “Near Me” Really Asks For in 2026

Rick Carlino runs a makerspace, a membership workshop stocked with shared tools. For ten years he filled it through the meetups he hosted, and that channel has been quietly drying up. Yet the tours kept booking. So he started asking visitors how they had found the place, and the answer was ChatGPT: they had described a problem to it, and it had named his space. They didn’t even know the word “makerspace”.

That is the new surface, and the old one has not gone anywhere. Near-me searches sit at an all-time high, and Google’s map pack still answers most of them. What is new is that the same questions now reach AI assistants as full sentences, and the assistants answer with a short list: either your business is on it or it is invisible to that customer. Getting picked on both surfaces takes the same unglamorous work, writing your prices, your rules, your hours and your customers’ own words down where a machine can read them. Carlino’s question is now every local operator’s:

“How does a local business optimize for this though? I am not sure.”

Rick Carlino, makerspace operator, on Hacker News, December 2025

TL;DR: What changed about “near me”

• Near-me marketing is now a two-surface game. Google’s map pack still decides most local discovery, and AI assistants now answer the same questions. The playbook below covers both.
• Near-me search is growing, not dying. “Restaurants near me” is up 14% year over year and at an all-time high. Only the marketing jargon about it collapsed.
• On the AI surface, searches are questions, not keywords. In 300 real near-me prompts put to ChatGPT, not one was the bare “category + near me” phrase. The median was nine words long.
• One in five asks what it costs. Price is the second-largest intent group. Only 2% asked which business was best.
• Visibility fell, intent did not. Impressions per Business Profile dropped 53.8% year over year while customer actions fell about 5%.
• Proximity still caps everything. Distance is one of Google’s three stated ranking factors, and no amount of profile work moves your building.

What People Actually Type When They Search “Near Me”

A near-me search now happens on two surfaces. The old one is Google’s search box feeding the map pack, and it still carries most of the volume. The new one is a typed-out question to an assistant, and it is where the change in behavior is easiest to see: the two-word keyword became a full sentence with conditions attached.

Pluspoint grouped 300 real “near me” prompts recorded from ChatGPT by what the person was actually asking for. Not one of the 300 took the classic “restaurant near me” shape. Every single one was a sentence, and the median ran nine words long.

Google’s own data points the same way. In May 2026 the company reported that the average AI Mode search is triple the length of a traditional query, with “where to” and “where should I” among the fastest-growing phrasings. Three words became nine, and the extra six are all conditions: today, cheap, open late, without an appointment, for a dog that bites.

Look at what dominates that panel. Price questions are one in five, and almost no local business publishes a number anywhere a machine can read it. Eligibility questions are another one in ten: what you accept, whether estimates are free, whether you need an appointment. Meanwhile the group everyone optimizes for, the one asking which business is best, is 2% of the set.

That mismatch is the most useful thing on this page. The local marketing industry spends its energy on star ratings, and the customer is asking whether you take American Express.

What the AI needs from you is boring

Treat the assistant as a very literal receptionist who will only repeat what it can find written down. It cannot infer your call-out fee from your brand values. It cannot guess that you do weekend appointments because your photos look busy. If the sentence does not exist somewhere in text, the receptionist says nothing, and then reads out the competitor who did write it down.

“Call for a quote” reads to a machine the way a shrug reads to a customer.

Are “Near Me” Searches Still Growing?

Yes, and it is not close. “Restaurants near me” averaged 105.7 million US searches a month across 2026, an all-time high for the term. That is up 14% on the previous twelve months. The bare phrase “near me” is climbing too. Google Trends tells the same story: US interest in the phrase bottomed out in 2024, and June 2026 came in well above June 2025.

So the widespread notion that near-me search is dying is simply wrong. One thing did collapse, and it is worth being precise about which:

Demand is growing. What evaporated is the vocabulary the marketing industry built around it, down 97% from its 2021 peak. The idea that near-me itself peaked usually traces to Google Trends, which does sit below its 2021 high. But Trends charts a term’s share of all searches, not the count. The count kept climbing underneath. Read share as demand and a team can talk itself out of a channel that still fills the dining room.

The phrase itself was never a keyword, which is the other half of the confusion. People attach “near me” as a suffix to a category, and Google reads it as an instruction to filter by distance rather than as a term to match. There is nothing there to target. Your job is to be one of the businesses it filters down to.

Where a “Near Me” Answer Comes From Now

Three surfaces answer the same question, and they read your business differently. The classic map pack still handles short, keyword-shaped searches. Google’s AI answers handle longer ones. Assistants like ChatGPT handle the messy, conditional ones people used to ask a friend.

Those three columns rarely produce the same shortlist. On the where-to-eat questions all three engines answered, ChatGPT, Gemini and Perplexity named 2,158 restaurants between them and agreed on 103. Winning one surface tells you almost nothing about the other two.

One correction worth making, because the numbers in circulation disagree wildly. AI Overviews do not dominate local search. Ahrefs measured them on 7.9% of local queries, against a fifth of queries overall, across a sample of 146 million results pages. Seer Interactive reported a far higher rate on near-me terms, from a sample a fraction of the size drawn from its own client set. The honest read is that Google shows AI answers less often for local searches than for almost anything else, and nobody has published a reliable local click-through figure at all.

What has genuinely changed is quieter and more consequential:

• Around 68% of US Google searches now end without a click to the open web, per SparkToro’s 2026 analysis.
• Impressions per Business Profile fell 53.8% year over year, while customer actions from those profiles fell only about 5%.
• 86% of profile impressions come from category and discovery searches rather than people typing your name.

Read those three together and the picture stops being frightening. Fewer people are seeing your listing, and almost exactly as many are calling, tapping directions and clicking through. The window got smaller; the people arriving through it are more decided. That’s roughly what happens when a machine filters out the browsers before they reach you.

Does the AI channel actually deliver anyone?

Small numbers, real revenue, growing fast. The cleanest measurement comes from a panel of 707 home-services contractors tracked by SearchLight Digital. In the first quarter of 2026, AI assistants sent those contractors 2,337 leads. Those leads closed $1.04 million in revenue. Jon Torrey, who published the analysis, put the scale in proportion himself:

“That’s 1.74% of organic search volume. Small. We know.”

Jon Torrey, SearchLight Digital, The Data-Driven Trades, April 2026

His more interesting finding is about breadth. In January, 29% of those contractors had received at least one AI-referred lead; by March it was 36%. The channel is spreading across businesses faster than it is deepening within any one of them.

Not everyone buys the premise, and the objection deserves printing. On the same thread where Carlino described customers arriving through ChatGPT, another commenter was blunt:

“all the comments talking about LLM chatbot services are tripping me out. Y’all would ask ChatGPT who to hire for your kid’s party?”

u/nonameiguess on Hacker News, December 2025

Fair. And the data mostly agrees with the skeptic on the closing step: Yext found only about 5% of people move straight from an AI answer to a purchase, while roughly half go back to Google to verify what they were told. The assistant is doing shortlisting, not selling. That still matters enormously, because being left off a shortlist is invisible and permanent.

Proximity Is the Ceiling, and Nobody Sells You That

Distance from the searcher is one of the three factors Google names in its local ranking documentation, and no amount of profile work relocates your building. A competitor two blocks from the searcher, with a thinner profile and a worse rating, will often win a near-me search you cannot. One columnist who has covered local search longer than most agencies have existed says the quiet part out loud:

“Advice suggesting that you just need to optimize your Google Business Profile (GBP) is generic, unhelpful, and even misleading.”

Miriam Ellis, Search Engine Land, November 2025

She’s right, and the practical response is not to give up on the radius but to stop spending against it. Three moves work:

1. Compete where distance matters least. Specialist services, unusual inventory and destination experiences pull people past closer options. Generic ones do not.
2. Win the questions proximity does not settle. Price, availability tonight, whether you take a particular insurance: those filter the nearby set down to businesses that answer, and answering is free.
3. Add real locations rather than fake ones. A service-area business can legitimately cover a radius. Inventing an address inside it is the fastest route to a suspension.

There is a twist worth knowing, and it cuts both ways. The ceiling is real in the map pack, where Google measures the distance precisely. Assistants are looser about geography, sometimes carelessly so. One consultant watched a solo law practice hold its local pack ranking in its own town while the assistants recommended firms in other towns entirely:

“he’s showing up in Google Maps as expected. Ranking well, in the local pack, all that good stuff. However, when I do a search in LLMs like ChatGPT or Perplexity I’m seeing recommendations for competitors that are in like Columbia or other small towns that are definitely not in Bowling Green.”

u/Icy-Scheme1048 on r/digital_marketing, April 2026

So a business the map pack buries on distance can still turn up in an AI answer, and a business that owns its map pack can still be left out of one. Two surfaces, two different geographies, and only one of them is something you can plan around precisely.

The Playbook: How to Attract Local Customers Searching Near Me

The work sorts into three tiers, in the order a customer meets your business. Eligibility comes first, decided by your listings and your own website. Then the published answers, which are what get you named rather than merely included, and finally the surfaces that turn a recommendation into money. Work them in that order, because evidence built on wrong opening hours is evidence for a business Google is not sure exists. The tiers hold whether you run one restaurant or a chain of gyms, hotels or auto shops, and the payoff stacks the same way: visibility in the local search results that matter, then foot traffic from people already nearby, then an edge over rivals who stopped at a claimed profile.

Tier 1: Be eligible

None of this wins you anything on its own. All of it decides whether you are in the pool at all. This is the flossing of local SEO: universally endorsed, done mostly in the week before the dentist.

1. Get the primary category exactly right. In Whitespark’s 2026 expert survey, the primary Business Profile category ranks as the single strongest local pack factor, ahead of proximity. It is also the field most often set once, in a hurry, years ago. Check that yours matches what customers call the thing you do, not what your industry calls it.

2. Publish holiday hours, not just regular hours. “Will Texas Roadhouse be open on Christmas Day near me” is a real question people ask, and hours questions are roughly 8% of the near-me set. A blank special-hours field is a closed sign you never meant to hang, displayed on exactly the days with the most demand per hour.

3. Make your listing data identical everywhere. Conflicting hours or addresses across Google, Apple, your site and the directories read as unreliable data, and unreliable data gets passed over. Apple Maps and Bing Places earn their slice of that attention too, since they feed Siri and ChatGPT their local answers. Apple’s stakes went up in April 2026, when Apple Business replaced Business Connect across 200+ countries, with Maps ads following. Pluspoint, a reputation and customer-engagement platform for multi-location brands, syncs hours, addresses, categories and holiday schedules across 100+ directories from one dashboard, which is the difference between a policy and a setting. You can check what a single location currently looks like with the free listings scanner.

4. Verify every location, and keep it verified. Roughly three quarters of profiles are verified now, so the unverified quarter is competing at a permanent disadvantage. For brands running dozens of profiles, the ownership tangle is usually the blocker rather than the verification itself, which is a whole job of its own covered in managing Business Profiles at scale. Pluspoint runs verification in bulk rather than location by location, which for a fifty-site chain is the difference between a quarter-long project and an afternoon.

5. Give every location its own real page. One page listing forty addresses ranks for none of them. Each location needs a page with its own address, its own hours, its own phone number, its own photos and a few sentences that could only have been written about that branch: the parking situation, the cross street, the neighborhoods it serves. Thin copies of one template get read as doorway pages, which is a penalty rather than a strategy.

6. Write the city and the service into the page, in normal English. This is the local SEO floor: the neighborhood and what you do in the page title, the H1 and the opening paragraph, the way a person would say it. Add LocalBusiness structured data per location so the address, hours and phone are machine-readable. Then check the page on a phone, because that is where these searches happen and a slow page loses the customer before the content matters.

Tier 2: Be quotable

This is where the recommendations are actually won, and where almost nobody is competing.

7. Publish prices, ranges, or a call-out fee. One in five near-me questions asks what something costs. A page saying “contact us for pricing” gives an assistant nothing to quote, so it quotes the business down the road that posted a range. A rate card is not required. A starting-at number, a typical range, and what the call-out costs will do the job.

8. Write down your rules. What you accept and refuse, whether estimates are free, whether walk-ins work, which insurance you take, what the minimum booking is. Dull to write, never linked to, and the highest-hit-rate page most local businesses never build. Post the same answers to the Q&A tab on your Business Profile, where they sit inside the very surface doing the asking.

9. Describe the problem in the customer’s words. People search for a chip in a windshield, not “auto glass restoration services”. Carlino’s members did not know the word makerspace. If your site only contains your category’s vocabulary, you are invisible to everyone who doesn’t already know it.

10. Keep reviews recent and specific. Recency now beats volume: 74% of consumers only weigh reviews from the last three months. A steady trickle of recent ones that mention the technician’s name, the wait, the parking, beats a stockpile of old five-star praise, because specifics are what get quoted back to the next customer.

A consultant working on a pizzeria put the problem in sharper terms than any study. His client sits second in the map pack on a 4.7 rating with a huge backlog of reviews, and the assistants skip it entirely in favor of chains and newer places with fewer reviews and lower ratings. The difference was that the newer place’s reviews ran to whole paragraphs, while his client’s said “great pizza” and “chill place”:

“telling an established pizzeria with an old, non-techie owner that their thousands of reviews don’t matter in the eyes of the AI is a tough conversation to have.”

u/Adorable_Inspection9 on r/localseo, July 2026

His reviews are not worthless. They just say nothing an assistant can repeat. “Great pizza” matches no question anybody actually asks. The full version of that argument, with the rating thresholds behind it, is in the 4.5-star economy.

11. Answer reviews like a person. Four in five consumers say they are more likely to use a business that responds to all its reviews, and that means Yelp, Facebook and Tripadvisor as well as Google. The hardest ones are the most valuable: a public complaint answered well is marketing, and there is a playbook for handling bad reviews without feeding them. At fifty locations all of this is a staffing problem rather than a good intention. Pluspoint drafts each reply from the review’s own specifics; a person still reads it before it posts.

12. Take photos this quarter, and keep taking them. The average verified profile has fewer than one photo, so a real, current set already separates you from most of the pool. It matters on both surfaces: Google’s AI reads imagery when it matches a place to words like cozy, clean, or good for groups, and stale photos answer none of that. Show the room a customer will actually sit in, the finished job, the entrance they need to find at night.

Tier 3: Be reachable, and be around

A recommendation you cannot convert is a recommendation for somebody else. This is also where the oldest local marketing still earns its keep.

13. Put every message in one inbox. A local business now gets asked the same question on five surfaces: a WhatsApp message, an Instagram DM, a Facebook comment, a text to the shop phone, and the live chat on the website. Each one usually lives in a different app, on a different device, watched by a different person, which is how a booking request sits unread for two days and a customer decides you are closed.

Pluspoint pulls all of them into a single inbox. One person answers everything from one screen instead of juggling five logins, each conversation keeps its full history no matter which channel it started on, and nothing depends on whoever happens to know the Instagram password. Replies can be assigned, tracked for response time, and handed over between shifts without the customer repeating themselves. An AI agent covers the after-hours “do you have space for six on Friday” messages that quietly decide where Friday happens. At $29 a location, that cover costs less than the Friday booking it saves. See how the Inbox works.

14. Show up where the neighborhood already is. Social media is the oldest local marketing channel that still counts as new, and none of it has stopped working. Tag your location in every post so people browsing a place see you. Use the hashtags your actual town uses, not the industry’s, and put tonight’s news in stories, where the deciding-right-now crowd looks. Sponsor the school run, the 5K, the summer fair, and get named on the organizer’s website while you are at it, because a link from a genuinely local site is worth more than a directory listing and far more than a bought one. Partner with the businesses either side of you and cross-post. Repost your best reviews while you are at it; a customer’s sentence about the parking sells harder than your caption will. Keeping that rhythm across fifty locations is its own job, which is why the platform behind the inbox also schedules posts across every location at once. Run an offer only your neighbors can use. None of this shows up in a keyword tool, and all of it is why people already know your name before an assistant ever mentions it.

15. Make the local ad money follow the question. Geo-targeted ads still work, and they work best pointed at the specific questions your published pages already answer. They also stop working without warning. Tom Hastings, who runs an entertainment business, watched revenue fall by half over three months and tried to spend his way out of it over the holidays:

“The last week there was money to burn, left over from unused ad spend. I increased our budget to 10x. ZERO RETURN.”

Tom Hastings, Circus Scientist, December 2025

He then ran a single hyper-local Instagram ad and booked four jobs in 48 hours. That is one anecdote, not a strategy. It is still a good argument for testing the channel your customers actually sit in before assuming the budget is the problem.

16. Turn one visit into a habit. Discovery is the expensive part; the margin is in turning first-timers into regulars. Segment by visit frequency and satisfaction, then run the unglamorous plays: an offer to your happiest customers during a slow week, a win-back message to someone whose complaint you fixed, an appointment reminder that lands the day before.

What Stopped Working

Some standard advice has quietly expired, and repeating it costs you time you could spend on tier two.

Geotagging your photos. The tactic will not die, but nobody can produce evidence for it. On Sterling Sky’s Local Search Forum, an agency that ran it across its whole client base reported the outcome plainly:

“We used to geotag photos for all our clients and never saw any measurable ranking results.”

Joe Burnich, Local Search Forum, September 2025

Google strips image metadata on upload, which makes the mechanism hard to argue for. A dissenting voice in the same thread points out that Google’s data scientists surely use every signal they have, and that is fair, but “surely they use it” is not a result.

Putting “near me” in your business name. This one is absolute: it breaks Google’s naming guidelines and risks suspension. The title-tag version is more interesting, because the flat “never do it” answer is wrong. Testing reported by Search Engine Land found the phrase in titles and headers correlated with a lift in ordinary organic rankings, and with nothing at all in the map pack. So it is a mild organic tactic that does nothing for the surface most people are chasing, which is not the same as a myth. Write naturally, and keep it off the profile altogether.

Assuming reviews work the same on every surface. In the map pack, volume is close to mandatory. In AI answers the arithmetic is visibly different, and the sharpest framing of why came from a practitioner pushing back on the panic:

“I would not frame it as ‘review volume no longer matters.’ More like: map pack ranking can use a lot of structured/local signals, while AI answers often need quotable evidence they can summarize.”

u/alexshev_pm on r/localseo, July 2026

Weekly Google Posts as a ranking play. They sit near the bottom of the same expert ranking that puts category at the top. Post when you have something to say. Do not build a content calendar around a field that moves so little.

The healthiest instinct in the whole field belongs to one of that forum’s regulars, reacting to yet another undocumented trick:

“Anyone has actual proof of effectiveness or is this another instance of the industry operating on vibes, something I’ve already railed against before?”

JS Girard, Local Search Forum, July 2026

How to Measure Near-Me Visibility

There is no near-me report in any dashboard, so measurement means triangulating a few things you can actually pull.

Treat the dashboard as a rough instrument. Operators keep finding it disagrees with reality in both directions: one reported twice as many tagged sessions arriving on his site as Google credited him with in profile clicks, and another watched search views of his profile climb while Maps views fell, for reasons nobody could pin down. Track the trend, not the decimal.

The layer with no automated source is the one that matters most now. Once a month, ask ChatGPT and Google’s AI the ten questions your customers actually ask, market by market, and log what comes back the way rankings used to get logged. Twenty minutes per market buys you more insight than most reporting decks contain. The wider version of that discipline lives in two companion pieces: ranking in ChatGPT recommendations and how Ask Maps picks businesses.

That is how you get more local customers in 2026: no trick, just the specifics published where every surface can read them, kept accurate until yours is the go-to business in the area. Start with the three things in the callout above. When those are done, there are 18 micro-optimizations for multi-location revenue worth working through next, and 32 more in the free checklist.

FAQ

How do I show up in near me searches?

Google ranks local results on relevance, distance and prominence. Practically: a correct primary category, a verified profile with accurate hours including holidays, consistent listing data everywhere you appear, and recent reviews. Then publish what people ask for, which is price, policy, availability, and the problem you solve described in their words.

How does near me SEO work?

There is no separate near-me ranking system. Google reads the searcher’s location and treats the phrase as an instruction to filter by proximity, so the words themselves are not a target. What you optimize is everything Google uses to judge relevance and prominence among the nearby options.

Why do near me searches matter?

They carry the highest intent in local search, because the person has already chosen what they want and is picking where to get it. The shape has changed: these arrive as full questions with conditions, and roughly one in five asks about price. A business with no published number is invisible to that entire group.

Should I add “near me” to my website or business name?

Never in your business name, which breaks Google’s naming guidelines and risks suspension. Titles are more nuanced: testing reported by Search Engine Land tied the phrase to a lift in ordinary organic rankings and to nothing at all in the map pack. Treat it as a mild organic tactic, not a must. Google supplies the location either way.

Do near me searches still matter now that people use AI assistants?

Yes, and they feed each other. Around 45% of consumers say they use AI tools to find local businesses, but only about 5% go straight from an AI answer to a purchase. Most verify on Google or your website first. The assistant builds the shortlist; your profile closes it.

How far away can a business rank for near me searches?

Less far than most owners hope. Distance is one of Google’s three stated local factors and profile work does not move your building. Compete instead on the searches where proximity is not the deciding factor, and on the questions that filter the nearby set down to whoever bothered to answer them.

How many reviews do I need to show up in near me results?

No threshold switches visibility on, but there is a consumer floor: 47% will not use a business with fewer than 20 reviews. Recency weighs even more, with 74% only considering reviews from the last three months. Twenty recent reviews describing specifics beat two hundred old ones saying “great service”.

How do I attract local customers without a big advertising budget?

Spend time instead of money first: a complete and accurate profile, correct holiday hours, photos from this quarter, and a page answering price, policy and availability in plain text. Then ask happy customers for reviews at the moment they are happy. Those four move more local visibility than a small ad budget does.