Science & Tech · AI · 1 hr ago
Three-quarters of online stores score poorly on AI shopping readiness
Channable assessed the product feeds of 10,000 online sellers for how well they work with Google’s AI shopping tools.
Three-quarters scored below six out of ten, and fewer than one percent scored eight or higher.
The assessment covered Google’s AI Mode and Gemini, but the story says the findings may apply more broadly because many retailers also optimize for Google Shopping.
AI shopping assistants need detailed product information to match items to specific customer requests.
Basic details may not be enough; a shoe’s sole material or a backpack’s laptop-compartment size could affect whether it is recommended.
Retailers may need to add details that manufacturers do not provide.
The issue matters because AI assistants may suggest only a handful of products, so stores that are not recommended could miss customers.
Channable has made its readiness audit available to its customers, and it says the coming peak shopping season will be the first in which AI plays a visible role as a shopping channel.
Channable found that three-quarters of 10,000 online sellers scored below six for readiness for AI shopping.
The assessment examined sellers’ product feeds in Google’s ecosystem, including AI Mode and Gemini.
Less than 1% of the sellers scored eight or higher.
The article says many retailers provide too little product detail for AI systems to match products to specific customer questions.
Channable says the coming holiday shopping peak will be the first peak season in which AI has a visible role as a shopping channel.
- Who
- Channable assessed product feeds from 10,000 online sellers.
- What
- Three-quarters scored below six on AI shopping readiness, and fewer than 1% scored eight or higher.
- When
- The findings were reported on October 12, 2026. Channable launched its AI Readiness Audit earlier that month.
- Where
- The assessment focused on Google’s ecosystem, including AI Mode and Gemini.
- Why
- Many sellers provide too few product details for AI systems to match products with specific customer questions.
This story does not have two clearly opposing sides.
You search nowadays as you talk to an LLM, instead of typing in keywords.
Where a search engine shows dozens of results, an assistant like Amazon’s Rufus recommends only a handful. Five instead of fifty.
Title and description are usually in order, but product-specific attributes provide the context.
Channable launched its AI Readiness Audit, a tool that checks whether online stores’ product feeds contain data used by Google’s AI shopping environments.
Emerce reported Channable’s findings from its assessment of 10,000 sellers.
- Sellers assessed
- 10,000
- Scored below six
- Three-quarters of sellers
- Scored eight or higher
- Less than 1%
- Assessment ecosystem
- Google, including AI Mode and Gemini
- Tool
- Channable AI Readiness Audit
Sources
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