Retailers Are Invisible to 37% of AI-Powered Shopping Queries
The new eBook exposes "Catalog Anemia" as the silent feed crisis draining ROAS as Google AI Overviews, AI Mode, Google Lens, and Shopping Product Grids reshape how consumers discover and buy products.
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Optiversal, the AI-powered product content and catalogue enrichment platform for ecommerce retailers, has released The AI-Ready Merchant Feed, a guide exposing why thousands of retailers are leaving revenue on the table, not because their ad budgets are too small, but because their Google Merchant feeds are too thin.
As Google’s AI-powered shopping surfaces rapidly expand, “technically valid” product feeds are quietly failing retailers at the exact moment high-intent shoppers are ready to buy.
According to the research, 37% of all shopping-related search queries on Google now surface direct product listings, not just links. Yet the average retailer is missing more than 70% of the product attributes Google’s AI engines need to match those listings to real shopper intent.
In many cases, critical fields like material, pattern, and product description are 100% absent from merchant feeds, making entire product catalogues invisible across Google’s most powerful new discovery surfaces.
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“The problem isn’t your ad spend, it’s your data,” said Lucas Tieleman, CEO and Co-Founder at Optiversal. “Retailers already have the right products. They’re just not showing up for the shoppers who are most ready to buy.”
Google’s transformation of search into a shopping discovery engine is accelerating. Shoppers are no longer typing short, generic keywords. They’re asking detailed, conversational questions across a growing constellation of AI-powered surfaces that demand rich, structured product data to operate:
Each of these surfaces pulls directly from the Google Merchant Center feed. A feed missing colour, material, size, pattern, occasion, or product description is a feed that fails to compete regardless of how much the retailer spends on Google Shopping ads.
Retailers don’t need a bigger budget. They need a better feed. Retailers who enrich their product data are capturing clicks their competitors don’t even know they’re missing.
“Every dollar you spend on Google Shopping is working harder or softer based on one thing: feed quality. Your competitors aren’t beating you on budget, they’re beating you on attributes,” continued Lucas.
“The exact words shoppers type into Google AI when they’re ready to buy. Over 70% of those attributes are missing from merchant feeds on average, and retailers are haemorrhaging ROAS because of it. We’ve seen brands recover double-digit returns without changing a single bid just by giving Google’s AI the product data it was already asking for.”
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The eBook introduces the concept of “Catalog Anemia,” a four-symptom condition afflicting most retail merchant feeds, and outlines a proven, AI-powered remedy:
Key Findings: 4 Symptoms of Catalog Anemia Killing Your Shopping ROI
- Missing Attributes at Scale. The average retailer is absent from over 70% of possible attribute fields, with material, pattern, and product description among the most commonly blank. These are precisely the fields Google’s AI uses to match conversational and longtail queries to products.
- Generic, Keyword-Starved Titles. Product titles optimised for warehouse logic (“SKU-4892 Blue Shirt M”) are invisible to AI surfaces parsing natural language queries like “breathable linen button-down for summer travel.”
- Flat, Manufacturer-Copied Descriptions. Thin or duplicated descriptions fail to communicate product context, fit, use case, or lifestyle relevance, the signals Google AI needs to surface products in AI Overviews and conversational search results.
- Static Feeds in a Dynamic Search World. Traditional feed tools were built for yesterday’s keyword matching. They are not designed for the AI-era surfaces like Google AI Mode, Google Lens, and Shopping Grids that now drive a growing share of purchase intent.
The guide presents Optiversal’s Dual-Path Enrichment Strategy, a methodology that simultaneously optimises feeds for paid Google Shopping campaigns and organic product discovery surfaces.
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Retailers deploying this approach have recorded measurable gains without increasing ad spend:
- +12.9% impressions, meaning more shoppers seeing applicable products
- −6% cost-per-click for the same spend, but more efficient
- +16% conversion rate due to higher-intent clicks from better-matched queries
- +98% organic product visibility, meaning these retailers are showing up where competitors aren’t
“Retailers are pouring money into Google Shopping campaigns while their product feeds are working against them,” the eBook notes. A shopper searching for a “lightweight spring floral dress for a baby shower” on Google AI Mode will only see products whose feeds include those exact contextual attributes.
A retailer who sells that exact dress, but whose feed lists only “Women’s Dress, Size S,” simply does not exist to that shopper, regardless of their bid strategy.
The implications extend well beyond apparel. Home goods retailers missing “material” fields are invisible to shoppers asking Google Lens to identify a piece of furniture. Outdoor brands without “activity” or “terrain” attributes miss conversational queries in AI Overviews.
Electronics retailers without detailed specifications fail to appear in AI Mode comparison surfaces. Across every category, the same dynamic holds: the feed is the product’s passport into Google’s AI ecosystem, and most passports are nearly blank.
