ChatGPT Just Became a Local Search Engine. Nobody Has a Playbook for That Yet.
On March 26, OpenAI added a toggle to ChatGPT. Settings, Data Controls, Location Sharing, off by default. Five days later, local search might have a second major player for the first time in a decade. And almost nobody in local SEO is talking about it.
What the Toggle Actually Does
The feature works in two layers. Approximate location gives ChatGPT a general sense of where you are, enough for regional results. Precise location shares GPS coordinates for genuinely localized "near me" recommendations. Users can enable one without the other, and OpenAI says precise location data gets deleted after each response.
When someone runs a local query with location enabled, ChatGPT now shows a map of nearby options, a list of businesses, and clicking any result opens something that looks a lot like Google's knowledge panel: photos, description, hours, key details. As Glenn Gabe noted when the feature shipped, this is "a big update that nobody is talking about."
The interface is not Google Maps. But it's not trying to be. It's a conversational local search experience embedded inside a tool that over 100 million people already use daily.
A Reddit Post That Captures the Entire Problem
There's a thread on r/ecommerce from today that reads: "Page 1 for every product category. ChatGPT recommends our competitors in every single one."
That sentence is the whole story.
You can own Google's first page, have strong domain authority, solid reviews, years of SEO work, and ChatGPT will recommend someone else entirely. Because ChatGPT is not using Google's ranking signals. It's pulling from different data sources, weighting different factors, and constructing recommendations through a completely different process.
With location sharing enabled, this problem extends directly to local businesses. The coffee shop that dominates Google's local pack might not appear in ChatGPT's recommendations at all. And the business owner probably has no idea, because they're not checking.
Why the 190x Traffic Gap Is the Wrong Number to Watch
Ahrefs data shows ChatGPT sends 190 times less traffic to websites than Google. That number is real, but it tells you more about ChatGPT's past than its future.
Consider the context. ChatGPT currently handles roughly 12% of Google's search volume. That's not nothing. It's a real slice of the search market. But until last week, ChatGPT had no meaningful way to serve local intent. Someone asking "best Italian restaurant near me" would get generic suggestions with no localization, no maps, no sense of what "near me" actually means.
That changed on March 26. Location sharing lets ChatGPT compete for the most commercially valuable layer of search: proximity plus intent. Google has monetized that combination for years through local ads, Maps, and Business Profiles. ChatGPT can now match the intent part. The accuracy part is still catching up, and it shows.
The 190x gap won't close overnight. But the trajectory matters, especially for businesses where local discovery drives the majority of revenue.
Google Had 20 Years to Build This. ChatGPT Has 5 Days.
Google Maps launched in 2005. Google Business Profiles (then Google Places) started in 2009. The reviews ecosystem, the local pack, the knowledge panels: all built over two decades of data accumulation and product iteration.
ChatGPT is aggregating local business data from wherever it can find it. Probably Yelp, Apple Maps, web listings, and whatever its search partnerships provide. The quality is uneven. I'd expect the recommendations to be stronger in major metros and weaker in smaller markets, at least for now.
Asking ChatGPT for local recommendations right now is a bit like asking a friend who just moved to your city for restaurant picks. They've read every review online and have decent instincts, but they haven't actually eaten at any of these places. Google is the friend who's been here 20 years and knows which spots are actually good on a Tuesday night. One of those friends will get better fast. The other will stay roughly where they are.
The competitive question is not whether ChatGPT's local results are as good as Google's today. They're not close. The question is whether ChatGPT's conversational interface provides a better experience for certain types of local queries. "I need a plumber who can come today and won't charge a diagnostic fee" is a hard query for Google. It's exactly the kind of thing ChatGPT handles well, assuming it has location data and business information to work with.
The Adoption Variable Nobody Can Predict
The biggest unknown is opt-in rate. Gabe put the right question on it: "Do users even know this is possible and will people share their location?"
That's not rhetorical. If 5% of ChatGPT users enable location sharing, this is a footnote. If 30% enable it, local SEO just got a second front. And OpenAI's track record on getting users to flip default toggles is mixed at best.
My read: adoption will be slow initially, then accelerate once OpenAI starts prompting users to share location when it detects local intent in a query. "I notice you're asking about nearby restaurants. Want to share your location for better results?" That prompt is coming. Probably within 90 days.
Five Things to Check Before Next Monday
I'm not going to pretend there's a complete ChatGPT local SEO playbook. There isn't one yet, and anyone selling one right now is guessing. But there are things you can check this week that tell you where you stand.
First, ask ChatGPT about your business by name with location enabled. See what it says. If it's pulling outdated information or confusing you with a different business, that's a data accuracy problem worth knowing about.
Second, ask "best [your category] near [your location]." See if you appear. If you don't, note who does and look at what they have in common. Strong review presence across multiple platforms seems to matter more than traditional SEO signals in these results.
Third, check that your business information is consistent across Yelp, Apple Maps, Google Business Profile, and your own website. ChatGPT appears to be aggregating from multiple sources, and inconsistencies probably hurt you the same way they hurt local Google rankings.
Fourth, make sure your website has clear, crawlable pages that describe your services and service area. ChatGPT's web browsing capability pulls from your site content directly, so thin or JavaScript-heavy location pages may not provide what it needs.
Fifth, and this one might feel premature, start thinking about what conversational queries your customers might use. "Where can I get my car detailed while I wait" is a fundamentally different format than "car detailing near me." Both will increasingly land in ChatGPT.
We've covered how AI citation signals diverge from Google ranking factors before. The local version of that divergence is just beginning.
Not 2026's Problem. Not 2028's Either.
I don't think ChatGPT replaces Google Maps this year. Probably not next year either. The data quality gap is too wide, the adoption curve too uncertain, and Google's local ecosystem too deeply entrenched.
But the businesses that check their ChatGPT visibility this week will have a baseline. When local ChatGPT results improve in six months, they'll know whether their visibility got better or worse. The businesses that assume this doesn't matter yet won't have that data, and by the time they start paying attention, the early patterns in ChatGPT's local recommendations will already be set.
You don't need a strategy yet. You need a benchmark. That takes about 10 minutes.
