Google AI Max for Shopping Campaigns: Text Customization, URL Expansion, and Format Selection

Google AI Max for Shopping Campaigns: Text Customization, URL Expansion, and Format Selection

Google rolled out AI Max to Shopping campaigns on April 30, 2026, extending AI Max beyond Search and Performance Max with three new capabilities: dynamic text customization (ad copy adapts to conversational queries), final URL expansion (the system identifies and suggests additional product landing pages), and format selection (advertisers choose which ad layout variants the system can use). For Shopping campaigns, the product data feed is now the primary creative input for AI Max -- feed data quality directly determines the quality of AI-generated ad variants.

Key takeaways

1. AI Max for Shopping launched April 30, 2026, adding dynamic text customization, final URL expansion, and format selection to Shopping campaigns -- extending capabilities previously available only in Search and Performance Max campaigns.
2. Feed data quality is the limiting factor for AI Max Shopping performance: product titles, descriptions, and landing page quality directly determine the relevance and quality of AI-generated ad copy.
3. Final URL expansion allows the system to surface additional landing pages beyond the specific product URL in the feed -- advertisers must review and control which pages are eligible to appear as landing page alternatives.
4. Dynamic text customization adapts Shopping ad copy to match conversational long-tail queries, which may shift spend toward query types previously excluded by Shopping keyword matching.
5. For teams monitoring AI Max Shopping performance, connecting Google Ads to Prooflytics enables comparison of conversion rates by query type (conversational vs. transactional) in a single view.

What AI Max for Shopping changes

Before April 2026, Shopping campaigns operated on a product-feed-first model: Google used the structured product data in the feed (title, description, price, image) to match products to search queries, with minimal text generation on top of the feed data. Shopping ads showed the product title and price from the feed with limited dynamic variation.

AI Max extends three types of AI-driven automation to Shopping campaigns:

Dynamic text customization: AI Max generates additional headline and description text to supplement the product title and attributes from the feed, adapting the ad copy to match the specific phrasing of each query. A search for "best noise cancelling headphones for commuting" might receive a Shopping ad with customized copy that emphasizes commute use cases, drawn from the product description and reviews, rather than just the standard product title.

Final URL expansion: the system identifies product and category landing pages on the advertiser's site that are relevant to a query but not specifically included as a product URL in the current feed. For example, a search for a category-level query ("running shoes for flat feet") might trigger a category page URL rather than a specific product page if the system determines the category page offers better conversion probability.

Format selection: advertisers specify which Shopping ad format variants the system can use -- standard product listing format, image-enhanced formats, dynamic product carousels -- and the system selects the optimal format for each query and placement.

What to prepare before enabling AI Max Shopping

Audit feed data quality

Feed data quality is more critical for AI Max Shopping than for standard Shopping campaigns because AI Max uses the feed as the primary source for creative generation. Problems that were tolerable in standard Shopping -- generic product titles, thin descriptions, missing brand attributes -- become material deficiencies when AI Max tries to generate query-specific ad copy from that data.

Product titles: AI Max Shopping performs best when product titles include product type, brand, key attributes (color, size, material, compatibility), and intended use case where relevant. Titles structured as "[Brand] [Product Type] [Key Attribute] [Secondary Attribute]" give the AI system more elements to work with for creative variation.

Product descriptions: standard Shopping campaigns show minimal description text in the ad. AI Max Shopping uses the full product description as source material for dynamic text customization. Descriptions that are detailed (100-500 words covering features, use cases, and specifications) produce better AI-generated copy than thin descriptions or duplicate of the title.

Image quality: AI Max uses product images for format selection and creative enhancement. Standard product images on neutral backgrounds remain the baseline requirement. AI Max may perform differently with lifestyle images -- test both variants when format selection is enabled.

Review and configure final URL expansion settings

Final URL expansion is the feature that introduces the most risk in the initial AI Max Shopping rollout. When the system surfaces landing pages beyond the specific product URL in the feed, it may surface pages that:

• Are not conversion-optimized (blog posts about a product category rather than category landing pages)
• Have inconsistent pricing or availability compared to the ad (clearance pages appearing for non-clearance queries)
• Are brand pages or about pages that lack transactional content

Configure URL expansion exclusions before enabling AI Max Shopping:

1. In the AI Max settings, review the list of additional URLs the system has identified as eligible for expansion
2. Add exclusions for URL patterns that should not appear as landing pages (blog subdirectory, about pages, terms and conditions)
3. Limit URL expansion to product and category page URL patterns where possible

Set up query-type monitoring

AI Max Shopping generates impressions for conversational long-tail queries that standard Shopping campaigns typically do not serve well. These query types often have different conversion rates and shopping intent than traditional transactional queries. Before enabling AI Max Shopping broadly, set up the monitoring infrastructure to track performance by query type:

• In Google Ads, use the Search Terms report to segment performance by short-tail vs. long-tail queries
• Monitor Shopping CTR separately for AI Max-served impressions vs. standard Shopping impressions during the initial test period
• Set a conversion value tracking approach that can attribute revenue back to specific product and query combinations

For teams using Prooflytics to monitor Google Ads, connect Google Ads campaign data alongside product revenue data from the ecommerce platform so that AI Max Shopping performance can be evaluated against actual product revenue, not just ad platform conversion counts.

Prooflytics

Stop stitching platform exports together

Every channel in one brief — plus the memory of what each one actually drove.

Start free trialSee pricing

14 days free · no credit card

How to configure AI Max for Shopping step by step

Step 1: Enable in campaign settings

AI Max for Shopping is configured at the campaign level. In an existing Shopping campaign, navigate to Settings, find the AI Max section, and toggle AI Max on. You can also create a new campaign with AI Max Shopping enabled from the start.

Step 2: Configure text customization options

In the AI Max settings, specify which text customization behaviors are enabled:

• Allow AI-generated headlines: enable if feed data quality supports creative variation
• Allow AI-generated descriptions: enable after validating that product descriptions are detailed enough to use as creative source material
• Brand and messaging guidelines: use the AI Brief interface (covered in the Google AI Max AI Brief guide) to specify messaging constraints before enabling text customization

Step 3: Configure final URL expansion

Navigate to the URL expansion settings within AI Max Shopping:

• Review the system-generated list of eligible expansion URLs
• Add URL exclusion rules for any pattern that should not appear as a landing page (blog, about, terms pages)
• Set a landing page quality minimum -- expansion should target pages with clear conversion paths, not content pages

Step 4: Configure format selection

Specify which Shopping ad formats the system can use:

• Standard product listing (always enabled)
• Enhanced image formats
• Multi-product carousels

For initial testing, enable all formats to allow the system to optimize across format types, then review format-level performance in the campaign report after four to six weeks to determine which format produces best conversion rates for your product categories.

Step 5: Run a test period before expanding budget

For campaigns migrating from standard Shopping to AI Max Shopping, run a conversion experiment rather than switching all traffic immediately:

• Create a campaign experiment (50/50 split) with one arm on standard Shopping and one on AI Max Shopping
• Run for at least four weeks to capture stable conversion data
• Evaluate conversion rate, ROAS, and average order value by campaign arm -- not just CTR or conversion volume

What the data shows about AI Max Shopping

AI Max Shopping's expansion to Shopping campaigns on April 30, 2026 extends a capability that already showed strong results in Search and Performance Max. The primary evidence base for AI Max performance comes from Search campaigns, where Google reports significant conversion improvements from enabling AI Max.

For Shopping specifically, the performance impact depends heavily on feed quality. Merchants with well-structured feeds and detailed product descriptions should expect the text customization feature to improve ad relevance for long-tail conversational queries. Merchants with thin feeds (minimal descriptions, generic titles) may see less improvement from AI Max until feed quality issues are addressed.

Monitor for the known risk: final URL expansion surfacing non-product pages. Early accounts testing AI Max Shopping have reported cases where the system served category landing pages for queries where specific product pages would have produced better conversion rates. Configuring URL exclusions and running a split test before full deployment reduces this risk.

Bottom line

• AI Max for Shopping launched April 30, 2026, with three capabilities: dynamic text customization (query-adapted copy from feed data), final URL expansion (landing page alternatives beyond product URLs), and format selection (AI-chosen ad layout variants).
• Feed data quality is the primary determinant of AI Max Shopping performance -- detailed product descriptions and attribute-rich titles are required for text customization to produce relevant ad variants.
• Configure URL expansion exclusions before activation to prevent non-product pages from appearing as Shopping landing pages.
• Run a split test (standard Shopping vs. AI Max Shopping) for four to six weeks before expanding budget, evaluating ROAS and average order value, not just conversion volume.
• For product-level conversion data alongside campaign performance, see how Prooflytics connects Google Ads to surface Shopping performance by product group.
• See independent reviews of Google Shopping management and analytics tools on G2.