GSC Logging Error Yielded Inflated Impressions Since May 2025

Why It Matters

Accurate impression data is essential for SEO performance measurement and budgeting; the error could have led businesses to overestimate organic reach and misjudge AI overview impacts.

Key Takeaways

• Google mislogged impressions from May 2025 onward.
• Clicks and other metrics remained accurate despite error.
• Alligator graph may shrink once data corrects.
• Export GSC data now to preserve historical records.
• Industry will reassess AI Overview impact after fix.

Pulse Analysis

On April 3, 2025 Google disclosed a logging malfunction that has been inflating Search Console impression counts since May 2025. The bug affects only the raw impression tally; clicks, click‑through rate, and average position are reported as unchanged. For SEOs and marketers who rely on impression data to gauge visibility, the distortion means a near‑year of performance reports may overstate organic reach. Google has pledged a fix within weeks, but the interim uncertainty forces analysts to treat any trend analysis from the affected period with caution.

The revelation also revives the debate around the so‑called ‘Great Decoupling,’ where impressions surged while clicks fell, a pattern many attributed to AI‑generated answer boxes. If a substantial portion of those impressions were phantom numbers, the alligator‑shaped graph could contract once corrected data flows in, tempering claims that AI Overviews are cannibalising click‑throughs. Nonetheless, the underlying user behavior—searchers receiving direct answers—remains unchanged, so analysts will need to separate genuine impression drops from the artifact of the logging error before drawing firm conclusions about AI’s market impact.

In practical terms, site owners should immediately export their Search Console data via the API or third‑party tools to lock in a pre‑fix snapshot. Bulk‑exporting bypasses the 1,000‑row UI limit and creates a baseline for comparing post‑correction metrics. As Google rolls out the patch, monitoring the impression curve for a sharp decline will confirm the error’s magnitude, while stable click‑through rates will validate the claim that other metrics stayed intact. Staying proactive now will safeguard reporting accuracy and preserve strategic decision‑making once the data returns to normal.