By Steve Merrill, Founder of WRKNG Digital | June 24, 2026
The Merchant Center settings that get products into Google AI Overviews are specific, and most Shopify stores are skipping them. We audited product feeds across hundreds of stores and found the same gaps showing up over and over. Fix these seven, and your products start appearing where buyers are now looking first.
1. Rewrite Product Titles for Conversational Queries
AI Overviews pull product titles directly from your feed, and they favor titles that match how people actually ask questions. "Women's Running Shoes Size 9 Blue" won't get cited for "what are the best cushioned running shoes for long distances." Rewrite titles to lead with the primary use case: "Cushioned Long-Distance Running Shoes for Women, Lightweight, Wide Toe Box." Google's product title guidelines recommend 150 characters max and leading with the most differentiating attribute, not brand first.
2. Add the product_highlight Attribute
The product_highlight attribute lets you submit up to 10 bullet points about your product directly in the feed. Google surfaces these as structured feature callouts inside AI Overviews and Shopping panels. Most stores don't use this attribute at all, their competitors who do are the ones getting cited for "best [product] with [feature]" queries. You can add product_highlight via a supplemental feed in Merchant Center or directly in your Shopify feed app. Full attribute specs are in Google's product data specification.
3. Submit Accurate GTIN, MPN, and Brand Identifiers
Missing or wrong GTINs are the single most common reason products get excluded from AI-assisted product results. Google uses GTIN, MPN, and brand together to match your product to its Knowledge Graph, which is what powers AI Overview recommendations. If those fields are blank or incorrect, Google can't confidently surface your product when someone asks an AI-assisted question that should point to it. Check your feed's identifier coverage in the Diagnostics tab of Merchant Center, anything flagged as "missing unique product identifier" is leaving AI visibility on the table.
4. Map Products to Google's Product Type Taxonomy
The google_product_category attribute uses Google's own taxonomy, and submitting the most specific category available directly affects how AI Overviews categorize and group your products. "Apparel & Accessories" is almost useless. "Apparel & Accessories > Shoes > Athletic Shoes > Running Shoes" is what gets you matched to running shoe recommendation queries. Google publishes the full taxonomy as a downloadable text file, use it, don't guess at categories.
5. Use a Supplemental Feed to Enrich Descriptions
Your primary feed (usually auto-generated from Shopify) rarely contains the depth of product description that AI Overviews need to recommend confidently. A supplemental feed lets you add or override specific attributes, including longer descriptions, materials, size_system, and age_group, without touching your main feed or your product pages. Think of it as a targeted patch. Stores that run supplemental feeds with full specifications typically see more AI Overview appearances for specification-driven queries like "waterproof hiking boots under 500 grams." The supplemental feed setup guide in Merchant Center walks through the full process.
6. Submit Structured Return and Shipping Policy Data
AI Overviews increasingly filter product recommendations by purchase confidence signals, and return policy data is one of them. Google can pull structured shipping and return data from your Merchant Center account settings, not just your website. If your account-level return policy isn't set up in the Shipping and Returns section of Merchant Center, you're missing a trust signal that competitors with clean return data have. Stores with clearly defined return windows and structured shipping estimates show up more often in AI Overview comparison results because the AI can include that data in its answer.
7. Set sale_price and sale_price_effective_date Correctly
AI Overviews flag price drops and sale windows in product callouts, but only if your feed submits both sale_price and sale_price_effective_date together. Submitting a sale price without an effective date means Google treats it as ambiguous, and it may not show the strikethrough pricing that makes AI Overview product citations click. The date format has to be ISO 8601: 2026-06-24T00:00-07:00/2026-07-04T23:59-07:00. It's a small formatting detail, but stores getting this wrong lose out on price-drop visibility every promotional period. Google's sale_price attribute documentation has the exact format.
How We Chose This List
These seven come from direct feed audits across Shopify stores in the WRKNG Digital network, cross-referenced against which attributes Google's own documentation flags as highest priority for product visibility. No ranking tools, no third-party estimates. Just what we found broken most often in real feeds.
FAQ
Do these optimizations affect regular Google Shopping results too, or just AI Overviews?
Both. These are feed-level improvements that affect your product data quality across all Google surfaces, Shopping tab, standard PLAs, and AI Overviews. Fixing them helps everything, not just AI.
How long does it take for Merchant Center changes to show up in AI Overviews?
Feed updates typically process within 24-72 hours in Merchant Center. AI Overview appearances can take 1-2 weeks to stabilize after a feed change because Google needs to re-index and re-evaluate your product data. Don't judge results after one day.
My Shopify feed app auto-generates the feed. Can I still make these changes?
Yes. Most Shopify feed apps (DataFeedWatch, GoDataFeed, Simprosys) let you override specific attributes with custom rules without touching your products directly. Supplemental feeds in Merchant Center are the other option, they patch the primary feed without replacing it.
Which of these seven has the biggest impact?
Product identifiers (GTIN/MPN/brand) and product titles are the two highest-use fixes. Get those right first. Everything else builds on top of a product that Google can confidently identify and match to a query.
Does Google Search Console show data on AI Overview product appearances?
Google Search Console now surfaces AI Overviews as a separate feature type in the Search Results report. Filter by "AI Overviews" to see which queries are triggering appearances and which products are getting clicks from them.
Find Out Where Your Store Stands
If you want to know exactly which of these gaps exist in your current Merchant Center feed, we can run an AI Commerce audit on your store. We check product data coverage, identifier accuracy, feed completeness, and AI Overview readiness, and give you a specific fix list, not a generic score.
