April 2026 Google Ads Update – AI Max for Shopping Campaigns Expands Search Discovery

Granular analysis and first look

Google is expanding AI Max into Shopping campaigns, giving retailers another automation layer to support modern Search behavior. For ecommerce advertisers working with Granular’s PPC management services, this update is worth watching closely because it affects how Shopping ads can appear for more conversational, discovery-driven queries. Google says AI Max for Shopping uses Merchant Center feed data to better understand product context and shopper intent.

What Is AI Max for Shopping?

AI Max for Shopping is designed for retailers already using standard Shopping campaigns. Instead of relying only on traditional product-query matching, it uses product feed details like material, fit, durability, and other Merchant Center attributes to help ads respond to broader shopper questions.

For example, a shopper may not search for a specific product name. They might search for something like “best high-quality clothes for lounging.” AI Max is built to help Shopping campaigns show up in more of those exploratory moments.

New AI Max for Shopping Features

Text Customization

Text customization can generate ad copy for Shopping ads so messaging better aligns with shopper intent and conversational searches. This gives retailers more flexibility when a product feed alone may not fully communicate why an item fits the query.

Final URL Expansion

Final URL Expansion, or FUE, helps match shoppers to the most relevant landing page on an advertiser’s site based on search intent. Google notes that advertisers can turn FUE off if they want to restrict delivery to Shopping ads.

Optimal Format Selection

AI Max can automatically choose whether a text ad or Shopping ad is the better fit for the shopper’s needs. This is a notable shift because Shopping campaigns may now compete in more flexible formats depending on intent.

Why This Matters for Retail Advertisers

The biggest opportunity is incremental reach. Google says AI Max for Shopping is meant to capture complex, long-tail searches that standard Shopping campaigns may miss.

The biggest risk is control. More automation means advertisers should pay closer attention to landing page eligibility, product feed quality, brand messaging, and query relevance. FUE can be useful, but it can also send traffic to unintended pages if exclusions are not managed carefully. Google’s Performance Max documentation makes this same caution clear for Final URL Expansion.

How Advertisers Should Prepare

Before enabling AI Max for Shopping, retailers should review:

• Merchant Center feed quality: Product titles, descriptions, attributes, and custom labels need to be accurate and useful.
• Landing page structure: Make sure key category and product pages are crawlable, relevant, and conversion-ready.
• URL exclusions: Exclude pages that should not receive paid traffic, such as blog posts, policy pages, out-of-stock sections, or low-converting informational content.
• Brand messaging: Review generated copy carefully to ensure it aligns with product positioning and customer expectations.
• Performance segmentation: Watch for changes in query mix, landing page performance, conversion rate, and ROAS after enabling AI Max.

AI Max for Shopping vs. Performance Max

Google is positioning Performance Max as the go-to campaign type for cross-channel performance. FUE and format selection are already active in Performance Max, while text customization for Shopping ads is coming as a new addition.

That distinction matters. AI Max for Shopping appears focused on improving Shopping campaign coverage within modern Search behavior, while Performance Max remains broader across Google’s channels.

Key Takeaways

• AI Max for Shopping is built for retailers already using Shopping campaigns.
• It uses Merchant Center feed data to better match products to conversational searches.
• New features include text customization, Final URL Expansion, and optimal format selection.
• Advertisers keep existing product targeting controls and bidding flexibility.
• FUE can be turned off if tighter landing page control is needed.
• Feed quality, URL exclusions, and post-launch monitoring will be critical.

AI Max for Shopping is another sign that Google Ads is moving beyond rigid keyword and product-query matching. For retailers, this could create new reach in the discovery phase of Search, but it also increases the importance of clean feeds, strong landing pages, and active campaign oversight.

Used carefully, AI Max for Shopping may help retailers meet shoppers earlier in the decision process. Used passively, it could introduce mismatched messaging or landing page issues. The right approach is to test intentionally, monitor closely, and keep strategy—not automation—in charge.