Transforming Search across the purchase journey: Google's new AI & bidding controls

1. AI Max for Shopping: future-proofing Standard Shopping

AI Max for Shopping is in closed beta and is designed to prepare classic retail strategies for the next era of search. It ensures your product listings show up natively across AI Overviews and AI Mode the moment those surfaces roll out in CSS-program countries.

Early data is encouraging: advertisers turning on AI Max for Shopping see an average +5% lift in conversions or conversion value at a similar CPA/ROAS.

It bundles two opt-in settings. Text Customization rewrites ad copy and product titles on the fly to match long-tail, conversational queries inside AI Overviews and AI Mode, and lifts relevance on standard Shopping placements at the same time. Final URL Expansion unlocks feed-powered text ads and dynamic landing pages — category pages, filtered views — which dramatically widens your coverage on deep research queries.

The csspartner.io take: AI Max for Shopping is built for Standard Shopping advertisers who want to bridge into AI-driven formats without losing granular control. For broad, cross-channel performance, Performance Max stays Google's primary recommendation. Want to test the beta? Ask your Google rep for access.

2. Product Value Adjustments: real-time control without restructuring

One of the biggest pain points in Shopping is having to reshape campaign structures every time the business shifts. Product Value Adjustments (PVA) fix that.

PVA lets you steer Smart Bidding to act more or less aggressively on specific slices of your inventory — without touching your campaign layout. You apply value multipliers directly in Merchant Center or Google Ads to optimize for real business outcomes.

01. Strategic inventory management. "Jackets are slow and the new season is incoming — I want to push them across several campaigns before fresh stock arrives." The fix: safely accelerate sell-through on overstock. Rolling out globally later this year.

02. Promotional & seasonal alignment. "It is late August and back-to-school searches are spiking — I want to boost electronics and supplies right now without spinning up a new campaign." The fix: instantly align bidding weight with real-time seasonal demand.

03. Profitability prioritization. "I sell two similar products, but my in-house brand carries a much higher margin — bid more aggressively on it." The fix: optimize for true profitability instead of raw, unadjusted revenue.

04. Boosting high-performing items. "Our own data shows this SKU is a bestseller on-site, even though Google Ads has not caught up yet — I want to lean in." The fix: inject first-party, multi-channel signals so the bidding algorithm recognises hidden bestsellers.

3. Smarter acquisition: New Prospects mode & loyalty annotations

Finding genuinely new buyers is getting harder, so Google is rolling out two updates that sharpen how you target newcomers and high-value shoppers.

The upcoming New Prospects mode goes a step beyond standard New Customer Acquisition bidding. It focuses entirely on brand-unaware users and applies automated exclusions to filter out anyone who has already purchased (via Customer Match and tags), searched your brand terms, visited your site or app, or engaged with your ads or content across Google and YouTube. The result: 100% of the allocated budget goes to cold, incremental traffic.

Loyalty annotations are expanding globally — member pricing and shipping perks across free and paid listings. Six European markets already have it; rollout continues across the US, CA, AU, GB, DE, FR, ES, IT, NL and more. For untargeted audiences, Google can show a dual-price format with the standard price and the member price side by side — an instant incentive to join your loyalty program.