Bing Places Is Your AI Search Strategy
When we built out our local SEO infrastructure last week, we shipped the obvious stuff first: server-rendered ProfessionalService schema, city landing pages, a footer NAP block, and a Google Business Profile link wired into the schema. Standard playbook.
Then we wrote the off-site checklist, and the Bing Places section made us stop.
Who reads Bing
Most local SEO content treats Bing as an afterthought. Bing's search market share is small. That logic made sense in 2022. It doesn't anymore.
ChatGPT uses Bing as its web search backend. Microsoft Copilot is Bing-native. Both products answer local queries, and both pull business data from the Bing index, including Bing Places listings.
When someone asks ChatGPT "who does AI automation for small businesses in Kokomo," it searches Bing. If your business is on Google Business Profile but not Bing Places, ChatGPT has no verified data to pull for you. Google's index doesn't feed that answer.
This is the part that most service businesses are missing.
What to actually do
Step one is still Google Business Profile. GBP drives the Maps pack and feeds Google's AI Overviews. Nothing replaces it. Set your primary category, mark yourself as a service-area business, add your cities, and start posting weekly. This is table stakes.
Step two is Bing Places. Go to bing.com/places and import directly from your GBP profile. The import handles most of the setup. Verify that categories and service area match exactly. This takes thirty minutes and unlocks the ChatGPT/Copilot surface.
Step three is Apple Business Connect. Apple Maps powers Siri and Spotlight. Less urgent than Bing, but it's a one-time setup and the coverage matters as voice search grows.
NAP consistency is now a two-ecosystem problem
NAP (name, address, phone) has always needed to be consistent. Now you have two search ecosystems that read that data independently. If your phone number is formatted differently on Bing Places than on GBP, you're signaling inconsistency to both.
We store our canonical NAP in a single TypeScript file (src/content/local.ts) and render it into footer markup and JSON-LD schema from there. When we fill in placeholders on our business listings, we copy directly from that file. One source, no drift.
The checklist rule we wrote: Name, address, and phone must be byte-for-byte identical everywhere. That means the same abbreviation style, the same phone format, the same business name capitalization. Not approximately the same. Identical.
Reviews matter in both indexes
Review volume and recency affect how AI assistants weight your listing when they summarize answers to local queries. A business with 40 recent reviews on GBP gets cited more confidently than one with 3.
This isn't just about ranking. When ChatGPT recommends a local business, it's summarizing what it found. High review volume with recent activity gives the model more to work with and more reason to be confident in the citation.
The review strategy we built into our checklist: request a GBP review after every completed project, aim for steady monthly volume rather than batch imports, and respond to every review. That last part signals to Google that the profile is actively managed.
The actual order of operations
- Google Business Profile: set it up completely, including photos and services
- Bing Places: import from GBP, verify everything matches
- Apple Business Connect: claim the place card
- Citations: chamber directories, Clutch, Thumbtack, Yelp
- Reviews: build a consistent request habit
This is the sequence we're running for our own site. The on-site schema and city pages are already live. The off-site half is where local rankings actually move, and Bing Places is the step most agencies skip because they're not thinking about where AI assistants get their data.
If you want this setup for your business, start with a free consultation.