In the two previous essays on this blog, I've made the argument that AI search is reshaping local business visibility — and that the businesses building for that shift now are establishing positions their competitors will struggle to challenge later. Both essays focused on the conceptual framework: what GEO is, what an entity graph is, why local markets tip.
This essay is different. It's about specific, empirical research — research conducted not by a think piece writer speculating about AI, but by Darren Shaw and Miriam Ellis at Whitespark, two of the most credible researchers in local search. What they found has direct, actionable implications for every contractor trying to get found by homeowners using AI tools.
The short version: ChatGPT is pulling its local business recommendations from Bing Places data. Facebook is the dominant review source feeding those recommendations. And the majority of local contractors have never claimed or optimized a Bing Places listing in their lives.
That gap is the opportunity.
The Microsoft–OpenAI Connection Nobody Is Talking About
To understand why Bing Places matters for ChatGPT visibility, you need to understand the corporate relationship driving it. Microsoft is the largest external investor in OpenAI, the company behind ChatGPT. That relationship goes beyond a financial stake — Microsoft has been integrating OpenAI's technology into its own products, including Bing search, while OpenAI has historically used Bing's data infrastructure to power ChatGPT's local search capabilities.
Research from Joe Youngblood, which Whitespark cited and built upon, analyzed the results of 250+ ChatGPT queries that generated local business recommendations. The finding: having a Bing Places listing and a strong aggregate rating across multiple review platforms correlated heavily with appearing in ChatGPT local results. The data pointed toward Bing Places as a primary data source for ChatGPT's local business knowledge.
This matters because it means that years of work optimizing a Google Business Profile — while valuable for Google search — does not automatically transfer to ChatGPT visibility. Google and Bing are separate data environments. A business that is well-optimized in Google's local ecosystem but invisible in Bing's is building for one AI system while remaining unknown to another.
Google Business Profile optimization does not transfer to ChatGPT visibility. They are separate data environments. Most contractors have invested years in one and zero hours in the other.
What the Whitespark Research Actually Found
Whitespark pulled data for 17 local business categories across 9 U.S. cities to identify which review platforms Bing Places most frequently references in its local results. This is not speculation about what might influence AI — it's empirical measurement of what is actually appearing in the data layer that ChatGPT draws from.
The findings break into two tiers:
The Universal Platforms
The Home Services Category
For contractor categories — which is what matters for restoration, water damage, and flooring businesses — the research identified a specific set of platforms beyond Facebook and Yelp that Bing Places pulls from heavily:
Whitespark's research also noted an emerging complication: there is credible evidence that ChatGPT may be shifting some of its local data sourcing from Bing toward Google, particularly as the relationship between Microsoft and OpenAI has reportedly become more complex. The practical implication is not to abandon either — it is to build presence in both Bing's data environment and Google's. Businesses that are strong in both are best positioned regardless of how the underlying data sourcing evolves.
Bing Places: The Most Neglected Asset in Local Search
Here is the state of Bing Places for most local contractors right now: the listing either doesn't exist, was auto-generated from incomplete data years ago, hasn't been touched since, and has never received a single photo, update, or review request. That is the competitive landscape you are entering.
Whitespark's Miriam Ellis describes Bing Places as having been "gathering dust on local SEOs' shelves for more than a decade." The platform has not been a priority for local search professionals because Bing's market share in traditional search has been small. But Bing's relevance was never primarily about Bing's search volume — it was about Bing's role as a data infrastructure layer that other systems, including ChatGPT, draw from.
A claimed, optimized, actively maintained Bing Places listing is now, according to Whitespark, "table stakes" for any local business that wants to appear in ChatGPT local recommendations. That is a strong statement from a credible source. It means this is no longer optional infrastructure — it is foundational.
What Bing Places Optimization Actually Requires
Bing Places is structurally similar to Google Business Profile but with some important differences. Key optimization elements:
- Claim and verify the listing — many contractor listings exist but are unclaimed, filled with auto-generated data that may be inaccurate. Claim ownership through the Bing Places for Business dashboard.
- Exact NAP consistency — business name, address, and phone must match every other platform exactly. Inconsistency in Bing Places creates ambiguity in the same way it does anywhere else in the entity graph.
- Full category selection — Bing Places has its own category taxonomy, separate from Google's. Select the most specific applicable categories available.
- Photos — upload a minimum of 10 photos. Bing Places surfaces photos prominently and photo presence is a quality signal.
- Service descriptions — write complete, specific service descriptions for every service category. Use the exact service terminology homeowners use when asking AI systems for help.
- Hours and attributes — complete every available field. Incomplete listings are lower confidence for AI systems building entity representations.
Facebook: The Platform Local Contractors Underinvest In
The finding that Facebook is the single dominant review source across all categories in Bing Places is significant and somewhat counterintuitive. Facebook's relevance in local business marketing has been debated for years as organic reach on the platform has declined. But Facebook's role as a review platform — one with massive user penetration and high trust signals — has remained substantial.
For Bing Places specifically, Facebook Business Page reviews appear to be weighted more heavily than almost any other third-party review source across all business categories. The mechanism makes sense: Facebook review data is structured, verified to real user accounts, and available at scale across virtually every local market in the United States. It is an ideal data source for a platform building a local business knowledge layer.
What Facebook Presence Actually Requires for AI Visibility
- A fully built-out Facebook Business Page — not a personal profile used for business, not a page created years ago and abandoned. A current, complete page with accurate business information that exactly matches every other platform.
- Active review accumulation — Facebook reviews require intentional effort. Build review requests into your post-job workflow. Text or email customers with a direct link to your Facebook review page immediately after job completion.
- Review responses — respond to every Facebook review, positive and negative. Each response is indexed content that includes your business name, service type, and geography. It is entity graph construction on a platform that directly feeds ChatGPT's data layer.
- Regular posting — freshness signals matter. A page with no activity since 2022 signals an entity that may no longer be active. Weekly posts, even simple ones, maintain freshness signals.
The Full Platform Priority Stack for Contractor Categories
Taking the Whitespark research and layering it against everything we know about entity graph construction and the dual Google/Bing data environment, here is the priority order for review platform investment for restoration contractors in 2026:
One More Platform: Apple Business Connect
Whitespark's research also flagged Apple Business Connect — Apple's equivalent of Google Business Profile for Apple Maps — as an increasingly relevant platform as Siri integrates ChatGPT into iOS. Apple Maps powers Siri local results, and with ChatGPT being integrated directly into Siri as part of iOS updates, Apple's local data layer is becoming another AI recommendation input to build for.
Apple Business Connect is free, takes less than an hour to set up, and is claimed by a small fraction of the contractors who should have it. Add it to the stack above. It will matter more, not less, over the next two years as Siri's AI integration deepens.
What This Means for the Nexum Network
The properties we build for contractor markets are not just optimized for Google. Every market we enter gets the full platform stack — Google Business Profile, Bing Places, Facebook, Angi, Yelp, BBB, and the relevant secondary platforms for its service category. Each platform is another corroboration source feeding AI recommendations in both the Google and Bing data environments.
The contractors who work with us are not just getting calls from Google Maps. They're being built into the data layer that ChatGPT, Bing AI, Google AI Overviews, and Siri all draw from when a homeowner asks which contractor to trust with a flooded basement at 11pm.
The homeowner in that moment is not Googling. They're asking. The answer they get depends entirely on which businesses are present, consistent, and well-reviewed in the data environments those AI systems are pulling from. Most of your competitors are not. That gap is not closing on its own.
The homeowner asking for help at 11pm is not Googling anymore. They're asking. The answer they receive depends on which businesses have built presence in the data environments AI systems pull from. Most contractors haven't. That gap is not closing on its own.
What to Do Right Now
Three actions, in order of impact, that any contractor can take this week:
1. Claim and optimize your Bing Places listing. Go to bingplaces.com. Search for your business. If a listing exists, claim it. If it doesn't, create one. Fill out every field completely using the exact same business name, address, and phone as your Google Business Profile. Add at least 10 photos. Write complete service descriptions. This takes two to three hours and is essentially guaranteed to be something your local competitors haven't done.
2. Build your Facebook Business Page to full completion. If you don't have one, create it today. If you have one that's been neglected, update every field to match your other platforms exactly. Then build a post-job review request into your workflow — a text message with a direct link to your Facebook review page, sent within 24 hours of job completion. Facebook reviews are the most heavily weighted review source in Bing Places for your category.
3. Claim Apple Business Connect. Go to businessconnect.apple.com. Claim your listing, verify it, and fill it out completely. It takes less than an hour and puts you in the data layer Siri uses for local recommendations as ChatGPT integration deepens through iOS.
None of these are technically complex. None require ongoing subscription costs. All three are actions that most of your local competitors have not taken. The businesses that execute all three before the AI recommendation landscape fully consolidates in their markets are building advantages that will be expensive for latecomers to overcome.