Google Shopping Ads 2026: Local Optimization, AI Overviews, and New Uncertainties

The key change for Google Shopping advertisers in September 2026 is the launch of Local Customer Optimization, a new campaign-level setting within Performance Max that prioritizes consumers physically near a business location who appear ready to visit, request directions, or call. At the same time, AI Overviews are measurably altering Shopping ad performance, AI Dashboards are appearing in accounts, and a wave of unexplained Merchant Center suspensions is worrying direct-to-consumer brands. Below we break down each development and what it means for your paid search strategy.

Google Ads Launches Local Customer Optimization for Performance Max

Google Ads has introduced a new campaign-level setting called Local Customer Optimization within Performance Max. The feature is designed to help retailers connect digital campaigns with in-store activity by prioritizing consumers who are close to a business location and appear ready to take immediate action, such as visiting a store, requesting directions, or calling. This update, reported by Brooke Osmundson at Search Engine Journal, is especially relevant as the Q4 holiday shopping season approaches, when many shoppers are looking for local pickup or last-minute gifts.

The feature works by using signals like location proximity, intent, and recent store visits. Advertisers can enable it at the campaign level, and it can be combined with Store Sales measurement improvements. Google is also making it easier to measure Store Sales via Data Manager, as confirmed by Seroundtable. The new setting is available in English-speaking countries and requires a linked Merchant Center feed and at least one store location.

What this means: For multi-location retailers and local brands, this update lowers the barrier to driving in-store foot traffic directly from Shopping ads. It also signals Google’s continued investment in omnichannel measurement, bridging the gap between online clicks and offline purchases.

AI Overviews Are Reshaping Shopping Ad CTR and Impressions

An analysis published by Search Engine Land on September 7, 2026, suggests that AI Overviews are causing Shopping ad click-through rates (CTR) to rise while impressions are falling. The hypothesis is that Google is prioritizing Shopping ad placements for high-intent searches while serving AI Overviews for queries less likely to generate a click. This dynamic would concentrate ad spend on fewer, higher-value impressions, potentially improving efficiency but also reducing reach.

The data is still early, but it aligns with broader trends: as Google’s AI Mode expands, the search results page is being restructured, and Shopping ads occupy a smaller but more intent-rich area. Advertisers should monitor CTR vs. impression shifts and consider adjusting their bidding and keyword strategies accordingly.

Metric	Observed Trend	Likely Cause
CTR	Rising	AI Overviews capture low-intent queries; remaining impressions are high-intent
Impressions	Falling	More queries served with AI Overviews instead of Shopping ad placements
Cost per click	Potentially rising (if competition increases for high-intent terms)	Fewer impressions but higher conversion rates

Advertisers can test this by segmenting Shopping campaigns by query intent and comparing performance before and after AI Overviews became pervasive.

AI Dashboards Begin Appearing in Advertiser Accounts

Google Ads is rolling out AI Dashboards to some advertiser accounts, as reported by Search Engine Land. These dashboards provide AI-generated insights, recommendations, and performance summaries directly within the Google Ads interface. The feature appears to be in early access, with some users seeing it and others not. Seroundtable also confirmed the rollout.

The dashboards are designed to help advertisers quickly understand campaign patterns without manually digging through reports. For Shopping advertisers, this could mean automated alerts for feed issues, bid adjustments, and product performance anomalies. The AI dashboards are part of Google’s broader push to automate routine analysis, potentially reducing the need for manual reporting.

Action item: Check your Google Ads account to see if the AI Dashboard tab appears. If it does, explore the insights; if not, expect a wider rollout soon. Use these insights to refine your Performance Max and Shopping campaigns.

New Tools to Drive and Measure In-Store Sales

In addition to Local Customer Optimization, Google has announced new tools to drive and measure in-store sales. These include improved Store Sales reporting in Data Manager and location asset requirement updates. The Location Asset Requirements Update clarifies that advertisers with physical locations must provide accurate location assets in their campaigns to qualify for local features.

For Shopping advertisers with retail stores, these updates mean you can now more accurately attribute online ad clicks to offline purchases. This closes the loop for omnichannel marketing, making it easier to justify local ad spend. The updates also simplify the process of uploading and matching transaction data.

Merchant Center Suspensions: Are DTC Brands Being Blacklisted?

A more concerning development is the wave of Google Merchant Center suspensions affecting mid-sized direct-to-consumer (DTC) brands. Agencies report that suspensions are often vague, with automated decisions and minimal human review. Some suspect Google is piloting an unconfirmed “algorithmic brand scoring” or “Merchant Trustworthiness Index” that flags brands without clear justification.

If true, this represents a major policy shift for Google Shopping. While Google has always enforced quality standards, the apparent lack of transparency leaves many legitimate businesses unable to appeal effectively. The article from Online Store News does not provide confirmed data, but the pattern is being discussed widely in ecommerce circles.

What to do: Ensure your Merchant Center feed complies with all policies — including return policy, shipping speed, and pricing accuracy. Monitor your account for any warnings proactively. If you receive a suspension, follow the appeal process carefully and document your product data sources.

AI Mode and Exact Match Keywords: A New Opportunity for Search Campaigns

Google is now serving regular Search campaigns with exact and phrase match keywords in AI Mode, but only for queries with explicit and direct user intent. This was confirmed by Google’s Ginny Marvin in response to an observation by Anthony Higman, as reported by Search Engine Watch.

While this update initially applies to regular Search campaigns, it has implications for Shopping. AI Mode is likely to influence how Google understands query intent across all ad formats, including Shopping. Advertisers should review their keyword strategies and consider using more restrictive match types for high-intent Shopping-related keywords to capture the most valuable traffic.

Practical Recommendations for Q4 2026 and Beyond

Given all these changes, here are actionable steps for Google Shopping advertisers:

• Enable Local Customer Optimization if you have physical stores and use Performance Max. Test its impact on store visits and sales.
• Monitor CTR and impression trends for Shopping campaigns. If impressions are falling but CTR is rising, consider increasing bids on high-intent terms to capture the concentrated traffic.
• Explore the new AI Dashboards in your account. Use the generated insights to adjust bidding, product groups, and audience segments.
• Set up Store Sales reporting in Data Manager to connect online ads to offline purchases. Use the location asset requirements as a checklist.
• Audit your Merchant Center feed for policy compliance, especially if you are a DTC brand. Proactively fix any issues to avoid suspension.
• Test exact and phrase match keywords in non-Shopping campaigns as AI Mode expands, and apply lessons to Shopping keyword strategies where applicable.

For advertisers looking to stay ahead, tools like 3 AI Prompts for Google Ads from Practical Ecommerce can help structure how you use generative AI for campaign planning and analysis.

The Bigger Picture: Google Shopping in an AI-First Era

September 2026 is a pivotal month for Google Shopping ads. The simultaneous introduction of Local Customer Optimization, the proven impact of AI Overviews on ad metrics, the arrival of AI Dashboards, and the controversy around Merchant Center suspensions all point to a platform that is evolving rapidly toward automation and local relevance. Advertisers who embrace these changes — while maintaining vigilance on policy compliance — will be best positioned to capture the upcoming holiday season’s demand.

The key takeaway is that success with Google Shopping now requires a blend of technical readiness (feed quality, location assets), strategic adaptation (bidding for high-intent impressions), and willingness to experiment with new AI-driven tools. Those who ignore these shifts risk falling behind as Google’s search and shopping experience becomes increasingly intelligent and personalized.