TL;DR Summary:
Impression Spikes Bug: Google Search Console shows massive impression increases with merchant listings filter due to SEO tools and bots inflating data, not real traffic.Affects Desktop CTR: Fake queries from rank trackers dilute click-through rates, making desktop metrics unreliable while clicks remain more accurate.Verification Steps: Compare with other analytics, focus on trends and conversions; ignore absolute impressions if filter-specific.Past Similar Issue: Resembles 2025 num=100 spike where URL changes caused artificial impressions across sites.Why is Google Search Console showing huge impression spikes?
Google Search Console users are seeing massive impression spikes in their performance reports when applying certain filters. This appears to be a data bug, not actual traffic growth.
Google Search Console Performance Report Impressions Spiking Across Multiple Sites
SEO expert Brodie Clark first spotted the issue on March 30, 2026. He noticed strange data patterns when using the merchant listings search appearance filter in Google Search Console.
The problem affects large eCommerce sites primarily. Clark reported seeing dramatic increases in impressions over the past week, along with queries that clearly come from SEO tools rather than real users.
“CTR data is no longer accurate for desktop,” Clark wrote on X. “There are now many queries appearing that are clearly related to tools, with significant increases in impressions from this past week in particular.”
How the Google Search Console Bug Affects Your Data
The merchant listings filter historically stayed separate from rank tracker influence. Impressions only got recorded after someone clicked on a grid result. This filter used to provide cleaner data because automated tools couldn’t easily trigger impressions.
Now that system appears broken. The filter shows inflated impression numbers and includes bot-generated queries that skew your actual performance metrics.
Desktop CTR calculations become unreliable when impression counts include artificial traffic. Your real click-through rates get diluted by fake impressions from tracking tools.
This Resembles Last Year’s Google Search Console Issues
Clark compared this bug to the “num=100 spike” from 2025. That incident also caused Google Search Console performance report impressions spiking across many websites.
The num=100 parameter was a URL modification that rank tracking tools used to get more search results per page. When Google changed how this parameter worked, it created artificial impression spikes in Search Console data.
The current issue follows a similar pattern. Tools and bots create activity that Google’s systems incorrectly count as legitimate impressions in your performance reports.
What Website Owners Should Do About False Impression Data
First, don’t panic if your impression numbers suddenly jump. Check whether the spike appears only when you apply specific filters like merchant listings.
Compare your Search Console data with other analytics platforms. Real traffic increases should show up across multiple data sources. If only Search Console shows the spike, you’re likely seeing the bug.
Focus on trends rather than absolute numbers during this period. Look at your click data instead of impressions, since clicks are harder for bots to fake.
Cross-reference your Search Console metrics with actual sales or conversion data. Real impression growth typically correlates with business results.
Tools That Help Identify Google Search Console Data Problems
Analytics platforms that specialize in anomaly detection become valuable when Google’s own reporting breaks down. Publytics provides automated alerts when impression spikes don’t match normal traffic patterns, helping you distinguish between real growth and data bugs. The platform cross-references Search Console data with other sources to validate whether impression increases represent actual visitor behavior or reporting errors. For content publishers dealing with unreliable Search Console metrics, Publytics offers a reliable alternative that tracks real visitor data without the complexity of navigating Google’s inconsistent reporting.
