The Bing Blindspot
We expected Google and Bing to behave like competing discovery engines. Instead, they surface almost the exact same stores. The real blindspot is much simpler: Indian D2C brands never connected to the Bing shopping channel in the first place.
Stores tested
393
Indian D2C
Bing MC detected
0 / 393
Zero observable Bing feed presence
Engine agreement
99.7%
Google and Bing find the same stores
Google MC signals
99.2%
Google side already covered
What we expected
We expected Google and Bing to surface different winners. Different engine, different index, different habits. We also expected at least some Indian stores to have already connected a Bing shopping feed, especially the brands that clearly invested in Google Merchant Center.
What we found
Google and Bing agree on store discovery almost perfectly. Out of 393 stores, both engines found 392, Google alone found 1, Bing alone found 0, and neither missed the rest. The engine is not the differentiator.
The actual blindspot is channel enrollment. Across the entire India sample, we found zero detectable Bing Merchant Center signals. A few stores showed weak Microsoft hints like UET or Clarity, but none appeared to have completed the feed connection that powers ChatGPT Shopping and Copilot shopping experiences.
The missing channel shows up immediately
— Google is everywhere, Bing Merchant Center is nowhere.The important distinction: 24 stores showed only “possible” Bing likelihood, mostly via UET or Clarity-style hints. None showed actual Bing Merchant Center presence.
We checked the blindspot six ways. The story stayed intact.
| Evidence Check | Result | p-value | Verdict |
|---|---|---|---|
| Bing Merchant Center signals detected | 0 / 393 | — | Missing channel |
| Google Merchant signals detected | 390 / 393 | — | Near-universal |
| Google/Bing found-not-found agreement | 99.7% | — | Same stores |
| Google-only surfaced stores | 1 / 393 | — | Rare exception |
| Bing-only surfaced stores | 0 / 393 | — | No edge |
| Google ↔ Bing found-rate correlation | rho = 0.346 | < 0.001 | Aligned |
Detection is based on storefront HTML and observable tags. A small number of stores may have Bing Merchant Center configured without detectable public markers.
Google and Bing are not different worlds
If one engine can find you, the other almost certainly can too. This is good news strategically: merchants do not need a separate “Google AI playbook” and “Bing AI playbook.” The same readiness signals travel across both.
Both found
392
Google only
1
Bing only
0
Neither
0
Out of 393 stores, Google and Bing disagreed on only one found/not-found outcome.
Google scores higher, but both engines fail in the same place
Google is more generous on the scorecard, but the shape is the same: branded recall is strong, product search is middling, and category shopping is almost non-existent on both engines. The Bing gap does not create a second ranking system. It removes an entire shopping feed from play.
Methodology
Sample: 393 Shopify stores, all India-based D2C brands
Engine test: Google (Gemini) vs Bing (GPT) found/not-found rates across branded and organic discovery
Bing detection: Bing Merchant tags, UET, Clarity, and other storefront HTML markers
Core caveat: Detection is based on observable HTML signals, so a small number of private Bing MC setups may go undetected
Important nuance: 24 stores showed “possible” Bing likelihood, but all 24 still had zero actual Bing Merchant Center signals
Interpretation: This is a missing-channel finding, not evidence that Bing ranks stores differently from Google
What this means for Indian D2C brands
Most teams assume Google Merchant Center coverage is “close enough” for AI shopping. It is not. Google coverage does not carry over to the Microsoft side. Bing Merchant Center is a separate enrollment step.
The practical takeaway is simple: do not waste time inventing engine-specific content tactics before you fix the missing channel. If Bing Merchant Center is dark, ChatGPT Shopping and Copilot are working without your feed.
Tomorrow — Day 4
The Discovery Cliff
AI can usually find your brand by name. It almost never recommends you in generic category shopping. That is where the real customer acquisition gap appears.
One finding per day for 14 days. Follow the series: