Category: Google Search Console | SEO Tools | AI Search
Read time: 4 min
Site: TheTechCursor
Table of Contents
- What the Bug Is
- How It Affects Your Data
- Which Reports Are Impacted
- What Google Has Said
- What You Should Do Right Now
- The Bigger Picture — Trust Issues With New AI Metrics
- Bottom Line
Google Search Console’s Generative AI Performance Report — one of the most anticipated new features of 2026 — has a data accuracy problem.
Google has confirmed that the report contains a bug affecting how certain data is counted and displayed. Specifically, some data that should be reported separately is being included in the wrong reporting category — causing the numbers to appear different from what they actually represent.
For site owners and SEO professionals who have been using this report to understand their AI search visibility, this is important context before drawing any strategic conclusions from the data.
1. What the Bug Is
The bug in Google Search Console’s Generative AI Performance Report relates to how “in-search” data is being categorized and displayed within the report.
According to Google’s confirmation, some performance data from standard Search is being incorrectly included in the Generative AI report — meaning the report may be showing deeper impression or click numbers than actually originated from AI features like AI Overviews and AI Mode.
The inverse may also be true: some genuinely AI-sourced data may be misclassified. The result is that the numbers displayed in the Generative AI Performance Report do not accurately separate AI-driven impressions and interactions from standard Search performance.
2. How It Affects Your Data
The practical impact depends on how you have been using the report.
If you have been using it to benchmark AI visibility: Your baseline numbers may be inaccurate. Impressions attributed to AI Overviews or AI Mode may include some standard Search impressions — inflating your apparent AI visibility metrics.
If you have been using it to track trends over time: Trend data may still be directionally useful — if the same bug has been present throughout, relative changes may still reflect real shifts in AI visibility. However, the absolute numbers should not be treated as reliable.
If you have been using it to compare with competitors: Any comparison based on AI-specific impression numbers is unreliable until the bug is fixed and data is reprocessed.
If you have not yet connected the AI Performance Report to any decisions: This is actually a fortunate position. Wait for Google to confirm the fix is complete before establishing your performance baselines.
3. Which Reports Are Impacted
The bug affects the Generative AI Performance Report specifically — the report that was introduced as part of Google’s AI Performance reporting rollout in June 2026, as covered in TheTechCursor’s earlier breakdown of that launch.
The standard Search Performance Report in Google Search Console is not affected by this bug. Data in your regular performance report — impressions, clicks, CTR, and average position for standard Search — remains reliable.
Google has not yet confirmed whether the Discover AI performance section is also affected or whether the bug is isolated to the Search-based Generative AI report.
4. What Google Has Said
Google has acknowledged the bug exists and confirmed it is working on a fix. The company has not provided a specific timeline for when the fix will be deployed or whether historical data will be retroactively corrected once the bug is resolved.
This is the standard pattern for Google Search Console data corrections — acknowledge the issue, confirm the fix is in progress, and update the documentation when the correction is live. However, the lack of a specific timeline creates uncertainty for teams that had begun integrating this data into regular reporting workflows.
Google’s Search Console help documentation for the Generative AI Performance Report should be monitored for updates — Google typically updates documentation when fixes are confirmed.
5. What You Should Do Right Now
Pause decisions based on absolute AI impression numbers: If you have been planning content or investment decisions based on specific AI impression figures from the Generative AI Performance Report, pause those decisions until Google confirms the fix is live.
Note your current data for comparison: Screenshot or export your current Generative AI Performance data before the fix is applied. After the correction, comparing pre-fix and post-fix numbers will reveal how significant the misclassification was for your specific site.
Continue using the standard Performance Report normally: The bug is isolated to the Generative AI Performance Report. Your standard Search Console data — organic impressions, clicks, CTR, position — is unaffected and remains fully reliable for standard SEO decisions.
Use alternative AI visibility signals in the interim: As covered in TheTechCursor’s LLM prompt tracking guide, AI search visibility measurement should never rely on a single data source. While the GSC Generative AI report is unreliable, continue monitoring branded search trends in GA4, AI referral sessions, and server log crawler activity — all of which are unaffected by this bug.
Watch for Google’s fix announcement: Subscribe to Google Search Central updates or monitor the Google Search Console community for confirmation that the fix has been deployed. Once confirmed, re-establish your baselines using corrected data.
6. The Bigger Picture — Trust Issues With New AI Metrics
This bug arrives at an inconvenient moment. Google launched the Generative AI Performance Report just two months ago — and it was immediately one of the most discussed new features in the SEO community, given the long-standing demand for visibility into AI search performance.
Discovering a data accuracy issue this early in the report’s lifetime creates legitimate questions about data reliability that will take time to resolve — even after the technical fix is deployed. Teams that built reporting workflows around AI impression data will need to re-evaluate those workflows and potentially restate metrics that were shared with stakeholders.
Furthermore, this incident reinforces a point covered in TheTechCursor’s AI search visibility measurement guide: no single data source provides a complete or fully reliable picture of AI search visibility. The GSC Generative AI Report is one signal among many — and this bug makes clear why triangulating across multiple signals matters.
As covered in TheTechCursor’s recent analysis of Google’s claim that AI features drive billions of clicks weekly, the SEO community has consistently asked Google to provide verifiable, transparent AI search data. A data bug in the primary tool designed to deliver that transparency is a significant setback — even if it is temporary and correctable.
7. Bottom Line
Google has confirmed a data bug in the Search Console Generative AI Performance Report that is causing some standard Search data to be misclassified as AI-sourced. As a result, the AI impression and interaction numbers in the report are currently inaccurate.
The fix is in progress. The timeline is not yet confirmed. In the meantime, pause decisions based on absolute AI impression numbers, continue using your standard Performance Report normally, and use alternative AI visibility signals to maintain situational awareness while the correction is applied.
When the fix is confirmed, re-establish your baselines using corrected data before drawing any conclusions about your AI search visibility trends.