ChatGPT doesn't know your shop exists yet. Google already knows

I typed one question into ChatGPT last week: recommend a good bike shop in Speedway, Indiana. It named a shop off Main Street that closed in 2023. The business is gone. A different storefront sits in that spot now, and ChatGPT doesn't know.

If you run a shop anywhere in Indianapolis, this is worth five minutes to understand. A new study put numbers on something you've probably felt but couldn't prove.

Answer engine is the one term worth knowing here. It covers ChatGPT, Perplexity, and Google's AI Mode: any tool that reads the web and hands you a single answer instead of ten blue links to click through yourself. You've probably used one this month without calling it that.

How often do these tools recommend a local shop?

Not often, and far less often than Google. SOCi's 2026 Local Visibility Index looked at nearly 350,000 business locations across 2,751 brands and measured how often each showed up when someone asked an AI assistant for a recommendation, compared to how often the same business landed in Google's local results.

Where you're asking	How often a business gets recommended
Google's local 3-pack	35.9%
Gemini	11%
Perplexity	7.4%
ChatGPT	1.2%

SOCi's math: getting recommended by an answer engine is three to thirty times harder than ranking well in a regular Google search, depending on the platform. ChatGPT is the hardest one by a wide margin.

Why does Gemini get it right more often?

Gemini's local answers are grounded in Google Maps and your Google Business Profile, the same listing you already manage. SOCi found Gemini's business details were accurate close to 100% of the time.

ChatGPT and Perplexity don't have that shortcut. They assemble a picture of your business from a mix of outside sources, and SOCi measured their accuracy at 68%. One answer in three has something wrong: a phone number, an address, hours that changed last spring and never got updated anywhere but your front door.

A lot of that gap traces back to where ChatGPT gets its local data. OpenAI struck a partnership with Foursquare in December 2024, and Foursquare's places database still supplies a large share, somewhere around 60 to 70%, of the business names ChatGPT reaches for on a local question. If your listing on Foursquare, Yelp, or Facebook is outdated, ChatGPT can be confidently wrong about you and never know it.

Gemini isn't smarter than ChatGPT here. It reads your real Google listing instead of guessing.

I pulled up the Google Business Profile for a dental practice I've worked with in Fishers while writing this. The hours were right, the phone number rang through, and the category was set to "Dentist," not the generic "Health" bucket it defaults to if nobody touches it. Fifteen minutes of checking beats any amount of hoping.

Should you pay someone to optimize you for ChatGPT this year?

Not yet. Vendors are already selling "AI SEO" packages to small shops. I'd wait, for reasons that add up fast:

• ChatGPT recommends 1.2% of locations. Getting into that 1.2% as a single-location shop, with no in-house data team, is a long and expensive bet with no proven return.
• Most of what improves your odds on ChatGPT and Perplexity is the same groundwork that already helps you everywhere: accurate hours, real reviews, a complete profile, and your business named the same way across every listing site.
• Google still sends the overwhelming majority of local search traffic. That's where your time pays off first.

The one exception worth watching: agentic booking. Google is expanding features that let its AI call a business and book something on a customer's behalf. That's rolling out through this year, and it will matter more once it's common. For now it rewards the same thing: a profile with correct hours and a phone number someone answers.

What to do this week

Skip the AI search consultants for now. Do this instead:

1. Open your Google Business Profile and confirm your hours, phone number, address, and category are current.
2. Check that your business shows up the same way, same name, same address format, on Yelp, Facebook, and Foursquare if you have a listing there. Mismatches confuse every one of these tools.
3. Add or refresh photos. Locations that AI assistants recommend average higher star ratings and more complete profiles than the ones they skip.
4. Leave the ChatGPT strategy alone for now. Revisit it in a year, once there's real data on what moves the needle for a shop your size.

The bike shop in Speedway that ChatGPT still recommends closed two years ago. Ask it again this week and it will tell the next person the same thing. Your Google listing is the one channel where you already have the power to get this right. Fix that one before you chase the ones you don't control.

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Sources

#	Source	What it backed up
1	AI local visibility is up to 30x harder than ranking in Google: Report	The 35.9% / 11% / 7.4% / 1.2% recommendation rates and the 68% vs. 100% accuracy figures from SOCi's 2026 Local Visibility Index.
2	SOCi 2026 Local Visibility Index	Primary report source: sample size (350,000 locations, 2,751 brands) and the three-to-thirty-times-harder finding.
3	Foursquare partners with OpenAI on ChatGPT search	Confirmation of the December 2024 Foursquare and OpenAI local-data partnership.
4	The directory ChatGPT reads first for local business names is Foursquare	The estimate that Foursquare supplies roughly 60 to 70% of ChatGPT's local business names.
5	Google Search's I/O 2026 updates: AI agents and more	Google's own announcement of expanding agentic booking features in AI Mode.