AI Max spotted in Google Standard Shopping campaigns

AI Max is making its way to Standard Shopping campaigns, bringing AI-powered query matching, ad customization, and landing page optimization to a campaign type that has historically offered advertisers more manual control. It was first announced in April.

The update could expand how Standard Shopping campaigns compete for search queries without requiring advertisers to migrate to Performance Max.

What’s happening. According to screenshots shared online, Google is rolling out AI Max features within Standard Shopping campaigns.

The capabilities include:

• AI matching Shopping ads to conversational, long-tail search queries.
• Automatically generating ad copy using Merchant Center feed attributes such as materials, fit, and durability.
• Final URL Expansion that directs users to what Google determines is the most relevant landing page rather than only the product URL.
• The ability for Google to choose between serving a Shopping ad or a text ad based on the user’s query.
• Campaign-level controls for asset optimization, brand exclusions, and Final URL Expansion.

The screenshots also suggest that existing bidding and targeting settings would remain in place, with advertisers able to disable Final URL Expansion if they want traffic directed only to Shopping ads.

Why we care. With these new features, Standard Shopping advertisers gain many of the AI-driven capabilities that have largely been associated with Performance Max. Better matching for conversational searches and dynamically generated ad messaging could help capture incremental demand while preserving familiar campaign structures.

However, advertisers will likely want to monitor performance closely to ensure AI-generated landing page choices and ad formats align with their business goals.

Bottom line. AI Max could significantly expand what Standard Shopping campaigns can do, blending AI-powered optimization with the controls advertisers have long preferred—but until Google officially announces the feature, advertisers should view the reported capabilities as an early look rather than a finalized product.

First spotted. This beta update was spotted by Paid Search expert Arpan Banerjee who shared it on LinkedIn.