title: "ChatGPT is recommending my business — how do I control what it says about me?" slug: control-what-chatgpt-says-about-my-business product: BookRails.ai date: 2026-07-23 author: Pinal Dave
ChatGPT is recommending my business — how do I control what it says about me?
TL;DR: You can't edit ChatGPT directly, but you control its inputs. AI assistants compose your description from your listings, site, reviews, and third-party mentions — so wrong prices, dead services, or stale hours in an answer trace back to a stale source. Audit what each engine says, map each error to its cited source, fix the source, and re-verify.
The short answer, backed up
Being recommended with wrong information is a silent revenue leak: buyers arrive expecting a price you don't charge or a service you dropped. Treat your AI description like a listing you maintain, with a monthly accuracy audit alongside your visibility scan.
Evidence:
- r/smallbusinessowner (2026): 'ChatGPT is recommending my business to customers and I have no idea how to control what it says' — a top thread of the year in local-business AI discussions.
- knwn.app's 2025 framework: baseline what every engine says about your brand, fix upstream, re-test — accuracy auditing as routine as checking web traffic.
- GMBapi 2025: place data errors in ChatGPT's local cards trace to Foursquare/Mapbox records, which are claimable and correctable.
- Engine refresh windows observed across 2025-2026: Perplexity 2-7 days, ChatGPT 7-21, Gemini/Claude 14-45 — fixes propagate on known timelines.
Common AI errors and their upstream source
| What ChatGPT gets wrong | Usual source | Fix location |
|---|---|---|
| Old hours / closed days | Unclaimed Foursquare or directory | Claim listing, correct hours |
| Discontinued service | Old service page still live | Update/redirect page, refresh sitemap |
| Wrong price range | Stale third-party article | Publish current pricing page; request correction |
| Outdated address | Legacy citations | NAP cleanup across directories |
| Mixed-up identity | Similar-name business nearby | Distinct NAP + schema with sameAs links |
Step-by-step
- Ask each of the four engines: 'Tell me about [business]', 'What does [business] charge for X?', 'Is [business] open Sunday?'
- Log every error and ask the engine (or check Perplexity's citations) for its source.
- Correct each source: listings, your own pages, third-party mentions.
- Publish an authoritative fact layer: LocalBusiness schema with services, hours, area, price range.
- Re-check on the engine's refresh cadence; keep a monthly accuracy audit.
FAQ
Can I contact OpenAI to fix an error?
There's no correction hotline for business facts; fixing the cited sources is the working path.
What if a third-party site refuses to update?
Outrank it as a source: your schema-rich, current pages plus fresher citations usually displace stale ones in engine answers.
Should I monitor competitors' descriptions too?
Yes — if engines describe a competitor's strength inaccurately in your favor, know it; if in theirs, counter with better evidence.
Can BookRails automate the accuracy audit?
Yes — scans capture what each engine says, diff it against your source-of-truth profile, and queue fixes in the GEO Action Center.
By Pinal Dave · Last updated: July 23, 2026
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