Google Search Console AI Data: What Ecommerce Marketers Must Know in 2026

The key change in Google Search Console's August 2026 updates is the addition of generative AI performance data — but with critical gaps that make it difficult for ecommerce marketers to measure real ROI from AI Overviews and AI Mode. Three articles published between July 25 and August 2, 2026, analyze the rollout, limitations, and strategic implications for online retailers, complemented by a fourth article arguing that AI shopping visibility now depends on product feeds, not product pages.

What the New Generative AI Data Covers — and Omits

Google's Search Console now includes a "Generative AI" performance report alongside traditional Search results, Discover, and Google News reports. The report shows how often a site's content appeared in AI Overviews, AI Mode, and Discover's generative AI features. However, as Search Engine Journal points out, the data is a "trap for marketers" because it lacks two critical metrics: clicks and individual queries. Without click data, marketers cannot calculate click-through rates or tie AI impressions to conversions. Without individual queries, they cannot identify which search terms trigger AI appearances.

Metric	Available in AI Report	Available in Traditional Report
Impressions	✓ (aggregate)	✓ (per query)
Clicks	✗	✓
CTR	✗ (cannot compute)	✓
Individual queries	✗ (aggregate only)	✓
Average position	✗	✓ (now deprecated)
Device breakdown	✓	✓
Country breakdown	✓	✓

Practical Ecommerce characterizes the new data as "a start" but notes that without query-level detail, marketers cannot optimize content for AI features with any precision. The absence of clicks is especially problematic for ecommerce sites, where every step in the customer journey needs to be attributed.

Opting Out of AI Features: A New Control for Site Owners

On August 1, 2026, Search Engine Journal reported that Google is rolling out a Search Console setting that allows website owners to opt out of appearing in AI Overviews, AI Mode, and Discover's generative AI features. The opt-out is implemented via a new robots meta tag or a Search Console toggle that blocks Google's AI systems from using the site's content for AI-generated summaries.

The article cautions that opting out may have unintended consequences. For example, traditional features like "Top Stories" that appear within AI Overviews could also be affected. The decision is particularly tricky for ecommerce sites that rely on product visibility in AI shopping experiences. The opt-out appears to be driven by regulatory pressure, notably from the UK's Competition and Markets Authority (CMA), which has been investigating Google's AI search practices.

Why AI Shopping Starts with Product Feeds, Not Product Pages

A Search Engine Land article from July 26, 2026, argues that AI shopping visibility is primarily driven by the quality and accuracy of Google Merchant Center product feeds, not traditional product detail pages. Google's AI shopping features — including AI Overviews that pull product recommendations and AI Mode that compares products — predominantly draw information from Merchant Center feeds.

This represents a fundamental shift in ecommerce SEO strategy. Historically, retailers optimized product pages for organic search, focusing on content, keywords, and internal links. Now, the primary lever for appearing in AI shopping responses is a clean, complete, and frequently updated product feed. Attributes such as price, availability, shipping information, product description, and GTIN (Global Trade Item Number) must be accurate and structured correctly.

The article also notes that AI features are beginning to synthesize information across multiple feeds, presenting comparison tables and summaries directly in the search results. This means that even if a product page ranks well in traditional organic results, it may not be cited in AI-generated shopping answers unless the Merchant Center feed is optimized.

The Impact on Ecommerce SEO and Paid Search

Early data suggests that Google's AI Overviews are measurably reshaping ecommerce traffic patterns. According to Online Store News (July 25, 2026), organic click-through rates for ecommerce sites have declined on mid-funnel, high-intent queries. These are the very queries that historically drove the most valuable traffic — people comparing products, reading reviews, and deciding where to buy.

The article argues that AI Overviews capture the impression share that previously went to organic listings. Brands with strong structured data and optimized Merchant Center feeds are more likely to be included in AI summaries, but even they see fewer clicks because users get answers without leaving the search results page. The impact also extends to paid search: Google's AI features may reduce the effectiveness of Shopping Ads and text ads on the same queries.

The Merchant Center Pilot: A Glimpse of Better Data?

Google is reportedly piloting a new Merchant Center report that provides query-level data for AI Mode and AI Overviews specifically for retailers. Search Engine Journal (July 29, 2026) describes this as a limited pilot that offers more granular insights than the standard Search Console generative AI report. However, even this pilot lacks click data, confirming that Google is still cautious about revealing the full impact of AI search on organic traffic.

The pilot is significant because it acknowledges the unique needs of ecommerce businesses, which require query-level data to optimize product feeds and understand which shopping intents are being answered by AI. If the pilot expands, it could provide a partial solution to the data gap that marketers have been complaining about.

Regulatory Pressure and What It Means for Marketers

The rollout of opt-out controls and expanded data reporting appears to be influenced by ongoing regulatory scrutiny. The UK CMA and other European regulators have been examining whether Google's AI search features unfairly favor Google's own services or harm publishers. By giving website owners more control and transparency, Google may be attempting to preempt stricter regulation.

For ecommerce marketers, this means that the current state of Search Console data is not static. Further improvements are likely as regulators push for more transparency. In the meantime, marketers should focus on what they can measure: impression trends in the Generative AI report, performance of Merchant Center feeds, and changes in traditional organic traffic patterns.

How to Adapt Your Ecommerce Strategy for AI Shopping

Given the incomplete data and shifting dynamics, ecommerce sites need a multi-pronged strategy:

• Prioritize product feed quality. Ensure every product in Merchant Center has accurate prices, availability, GTINs, and detailed descriptions. Test feeds regularly.
• Monitor the Generative AI report in Search Console for broad impression trends, even without query-level data.
• Use the opt-out setting strategically. If AI Overviews are driving low-value impressions with no clicks, consider opting out for certain sections of your site.
• Invest in structured data markup for product pages, reviews, and FAQs. AI systems often pull from schema markup when generating summaries.
• Track changes in organic CTR using your analytics platform alongside Search Console data. If you see declines on high-intent queries, AI Overviews may be the cause.
• Participate in the Merchant Center pilot if invited, as it offers the most detailed data available.

Conclusion

Google's addition of generative AI data to Search Console is both a step forward and a source of frustration for ecommerce marketers. The data confirms that AI shopping is growing, but the absence of clicks and query-level details makes it impossible to measure true ROI. The shift toward product feeds as the primary visibility driver requires a fundamental rethinking of SEO priorities. Combined with new opt-out controls and regulatory pressure, the landscape is evolving rapidly. Marketers who adapt their strategies now — focusing on feed optimization and using the limited data available — will be best positioned to navigate the AI shopping era.

By staying informed about changes to Search Console and Merchant Center, and by testing opt-out settings judiciously, ecommerce sites can maintain visibility in AI features while protecting their organic traffic base. The data gap may persist, but the tools and controls are improving.