Best Buy Activated Offer Highlights: Eight Feed Attributes WooCommerce Misses

What Best Buy Switched On#

The first named retailer in a feature that turns store policies into ranking inputs for AI-generated product answers.

Brand Agents were Shopify-only until April 21. Offer Highlights was even more buried. Microsoft named Best Buy as the first retailer to activate Offer Highlights inside Copilot conversations at the April 21, 2026 Spring Summit — and most WooCommerce store owners haven’t seen the announcement because it landed under the AI Max for Search headline, which dominated the coverage.

Offer Highlights is a new surface format in Microsoft Merchant Center. It lets retailers expose product differentiators — free shipping, in-store pickup, return policy, price-match guarantee — as structured data that Copilot can quote directly in product answers. When a shopper asks Copilot “where can I get a 65-inch OLED with free shipping and a return window,” the answer draws from Merchant Center attributes, not from crawling product pages.

Best Buy was the proof case. Their public policies are rich with exactly the kind of structured offer data that Copilot needs: free shipping on thousands of items, free in-store and curbside pickup at most stores, a 15-day return window (60 days for Total members), a price-match guarantee against 19 qualified competitors, and Geek Squad support. Each of those policies maps to a Microsoft Merchant Center attribute that Offer Highlights can surface.

Microsoft named Best Buy as the first retailer to activate Offer Highlights inside Copilot conversations at the April 21, 2026 Spring Summit, making structured offer attributes a ranking input for AI-generated product answers (Microsoft Advertising, 2026).

How Offer Highlights Works Inside Copilot#

Structured data that AI agents can query — not just display ads that humans click.

Offer Highlights is initially launched for retail use cases in English-speaking markets across Copilot, Edge, and Bing. Advertisers provide the information they want to promote through Microsoft Merchant Center. The critical difference from traditional shopping ads: Offer Highlights are queryable by AI agents, not just clickable by humans.

This means the structured offer attributes become a ranking input. When Copilot assembles an answer about product availability, shipping options, or return policies, it reads from the Merchant Center feed — not from a web crawl of your product page. A store with populated shipping, return, and pickup attributes gets surfaced. A store with only price-and-title in its feed is invisible to the query.

Microsoft’s internal February-March 2026 comparison of the top 100,000 Shopify merchants by GMV showed approximately 90% relative growth in impression share within Copilot Shopping. Offer Highlights is designed to compound that growth for retailers whose feeds are richly populated. The April 21 announcement made it explicit: feed quality drives AI visibility.

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Best Buy’s Policies Mapped to Merchant Center Attributes#

Each public policy is a structured data field that Copilot can quote. Here’s the mapping.

Best Buy’s public-facing policies are unusually well-suited for Offer Highlights because they’re specific and quantifiable. Every policy below maps to a Microsoft Merchant Center attribute that Copilot can surface in an Offer Highlight callout.

Best Buy Policy	Merchant Center Attribute	What Copilot Surfaces
Free shipping on thousands of items	shipping.price, free_shipping_threshold	“Free shipping available”
Free in-store pickup at most stores	in_store_pickup_available, pickup_method	“Free in-store pickup”
Free curbside pickup	pickup_method, pickup_sla	“Curbside pickup available”
15-day return window (60 days for Total members)	return_policy_days	“15-day returns (60 with membership)”
Price-match guarantee vs 19 competitors	price_match_guarantee	“Price match guarantee”
Geek Squad support and installation	product_highlight (custom)	“Expert support included”
Free return shipping with prepaid label	return_method	“Free return shipping”

The pattern is clear. Offer Highlights turns qualitative policies into queryable structured data. A shopper asking “which electronics store offers free pickup and price matching” gets an answer that favours stores with those attributes populated in their Merchant Center feed — not stores with the best SEO or the biggest ad budget.

The WooCommerce Feed Gap: What Default Plugins Ship#

AdTribes and Pinterest for WooCommerce generate feeds built for Google. Not for Copilot.

The most-installed WooCommerce feed plugins — AdTribes Product Feed Pro, Pinterest for WooCommerce, and similar tools — are configured by default to ship the Google Shopping baseline schema. That means the standard Bing template outputs the core attributes: id, title, description, link, image_link, price, availability, brand, and condition.

These are the attributes that get your products listed. They’re not the attributes that get your products highlighted. The additional fields that drive Offer Highlights ranking — shipping policy details, return windows, price-match programs, pickup availability — are either optional, custom, or entirely unsupported in the default feed plugin templates.

Pinterest for WooCommerce is even narrower. Its feed is built for Pinterest, not Microsoft, and although it produces a compatible feed format, it does not surface return_policy or price_match fields without manual mapping. The plugin was designed for visual discovery, not structured offer data.

AdTribes Product Feed Pro supports custom attribute mapping in its Elite version — you can technically map any WooCommerce field to any feed attribute. But “technically possible” and “configured by default” are different things. A WooCommerce store that installs AdTribes and selects the Bing Shopping template gets the Google baseline schema, not the Offer Highlights schema.

WooCommerce feed plugins default to the Google Shopping baseline schema — id, title, description, link, image_link, price, availability, brand, condition — and do not expose shipping policy, return window, price-match, or pickup attributes without custom field mapping (AdTribes, 2026).

The Eight Missing Attributes#

Each one maps to a WooCommerce data source. None are in the default feed output.

Based on the Microsoft Merchant Center Products Resource API documentation and the actual XML output of the most common WooCommerce feed plugins, eight specific attributes are missing from default feed plugin output but present in the Microsoft Merchant Center schema that powers Offer Highlights.

Missing Attribute	WooCommerce Data Source	Default Plugin Support
shipping.country	WooCommerce Shipping Zones	Partial (some plugins map zones)
shipping.service	Shipping method labels	Not exposed
shipping.price	Shipping method costs	Partial (flat rate only)
free_shipping_threshold	Free shipping coupon / zone rule	Not exposed
return_policy_days	None native (ACF or wp_options)	Not exposed
price_match_guarantee	None native (ACF or wp_options)	Not exposed
in_store_pickup_available	Local Pickup shipping method	Not exposed
pickup_sla	None native (ACF or wp_options)	Not exposed

The pattern across all eight: the data either exists somewhere in WooCommerce (Shipping Zones, shipping method settings, Local Pickup configuration) or it doesn’t exist natively at all (return window, price-match, pickup SLA). For the “exists somewhere” category, the feed plugin doesn’t extract it by default. For the “doesn’t exist” category, you need to create the data source first — typically an ACF field group or a wp_options-stored policy block — before you can map it to the feed.

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How to Fix the Gap in WooCommerce#

Three approaches, from quick patch to structural solution.

Approach 1: Custom field mapping in your existing feed plugin. If you’re running AdTribes Product Feed Pro Elite, you can add custom attribute mappings to your Bing feed. Create static values for store-wide policies (return_policy_days = 15, price_match_guarantee = true) and map WooCommerce Shipping Zone data to the shipping attributes. This is the fastest path — hours, not days — but it requires manual maintenance when policies change.

Approach 2: ACF field group for policy attributes. Create an Advanced Custom Fields group with fields for free_shipping_threshold, return_window_days, price_match_program, in_store_pickup_available, and pickup_sla. Store these as site-wide options (not per-product). Then map the ACF fields to your feed plugin’s custom attribute slots. This separates policy data from feed configuration, making it maintainable by non-technical team members.

Approach 3: wp_options policy block with programmatic feed injection. Store your policy attributes in a structured wp_options entry and use a filter hook on your feed plugin’s output to inject the attributes into every product row. This is the most robust approach for stores with complex shipping rules (zone-specific free shipping thresholds, product-category-specific return windows) because it can read from WooCommerce’s actual configuration rather than static values.

For stores running Transmute Engine™, the same first-party policy block — free_shipping_threshold, return_window_days, price_match_program — is already part of the schema and can be served to the Microsoft Merchant Center feed by the feed output pipeline, keeping the attributes in sync with the data that goes to GA4, BigQuery, and ad platforms.

Why This Matters: The Agentic Traffic Context#

Structured offer data isn’t a display feature. It’s an input to the queries that AI agents run on behalf of shoppers.

The April 21 announcement framed Offer Highlights within what Microsoft described as three simultaneous eras of web behaviour: traditional search, AI-assisted discovery, and fully automated agentic transactions. The cited data is stark: agentic browser traffic grew 7,851% year over year in 2025. Automated traffic is growing eight times faster than human traffic.

In April 2026, HUMAN Security’s monthly benchmark showed 69.57% of agentic activity touching product and search routes. AI traffic to US retail sites surged 269% year over year in March 2026 according to Adobe’s data. And 2.3% of agentic activity now occurs on checkout pages — a category that didn’t exist at measurable scale one year ago.

When an AI agent browses product listings on behalf of a shopper, it reads structured data. Not CSS. Not marketing copy. Structured attributes in a feed. Offer Highlights is the mechanism by which Microsoft makes those attributes visible in Copilot’s answers. The stores with populated attributes get recommended. The stores without them are architecturally invisible to the query, regardless of how good their product pages look to a human eye.

The four-week window between the April 21 announcement and the May open pilot was the preparation window. Stores that expose these eight attributes before Offer Highlights ranking decisions are baked into Copilot’s recommendation patterns have a structural advantage over stores that wait.

Agentic browser traffic grew 7,851% year over year in 2025, with 69.57% of agentic activity touching product and search routes and 2.3% reaching checkout pages — making structured feed data a ranking input for a new category of buyer that reads attributes, not pages (HUMAN Security, 2026).

Key Takeaways#

• Best Buy activated Offer Highlights first: Microsoft named them as the proof case on April 21, 2026, demonstrating that store policies become structured data that Copilot quotes in product answers.
• Offer Highlights is queryable by AI agents: Unlike traditional shopping ads, these attributes are ranking inputs for AI-generated answers across Copilot, Edge, and Bing — not just display features.
• Eight feed attributes are missing from default WooCommerce plugins: shipping.country, shipping.service, shipping.price, free_shipping_threshold, return_policy_days, price_match_guarantee, in_store_pickup_available, and pickup_sla are not in the standard Bing template output.
• The data sources exist but aren’t connected: WooCommerce Shipping Zones, Local Pickup settings, and store policies contain the information. Feed plugins don’t extract it by default.
• Three fix paths available: Custom feed plugin mapping (fastest), ACF field group (most maintainable), or programmatic wp_options injection (most robust for complex policies).
• Agentic traffic makes this urgent: 7,851% growth in agentic browser traffic means AI agents are reading structured feed data today — stores without populated offer attributes are invisible to these queries.

References#

• Microsoft Advertising. (2026). Win Across All Three Eras of the Web. April 21. about.ads.microsoft.com
• Microsoft Learn. (2025). Products Resource — Microsoft Advertising API. learn.microsoft.com
• HUMAN Security. (2026). 2026 State of AI Traffic & Cyberthreat Benchmark Report. humansecurity.com
• HUMAN Security. (2026). State of Agentic Traffic — April 2026. humansecurity.com
• PPC Land. (2026). AI Agent Traffic Is Up 8x — HUMAN Security Now Tells Marketers Why. ppc.land
• TechWyse. (2026). Microsoft Advertising Launches AI Max & Agentic Web Tools. techwyse.com
• Best Buy. (2026). Return & Exchange Policy. bestbuy.com
• Best Buy. (2026). Price Match Guarantee. bestbuy.com
• AdTribes. (2026). Bing Shopping Ads & Product Feeds: Complete WooCommerce Guide. adtribes.io
• PPC News Feed. (2026). Microsoft Merchant Center Supports Highlights for Copilot. ppcnewsfeed.com

Your store policies are already competitive advantages. The question is whether they exist as structured data that AI agents can read, or as marketing copy that only humans see. See how Seresa approaches structured feed data for WooCommerce stores.