AIORadar estimates how AI Overviews are adding or draining clicks, on your real Search Console data, so you fix the gaps that recover the most traffic first. Here is precisely how the number is built, and the research behind every factor.
Every citation gap carries a click estimate, so you work the ones worth the most traffic first instead of guessing.
One net number tells you whether AI Overviews are adding or draining clicks this period, in figures you can act on.
Built on your real GSC data plus published research, so the estimate holds up in front of a client or a boss.
How the number is built
Clicks, impressions, and average position per query over the last 28 days, plus whether each query shows an AI Overview and whether you are cited.
The click-through rate you would expect at your position with no AI Overview, from published positional research (FirstPageSage 2023, Backlinko 2024).
The baseline is adjusted by your citation status using factors from current studies (see below).
Adjusted CTR minus baseline, times your real impressions, summed across your queries. One number: are AI Overviews helping or hurting.
The adjustment factors
More than double the clicks per impression. Seer Interactive, 2026.
About a third of clicks lost beneath the answer. Ahrefs.
Named in the AI Overview text, but not linked.
Your clicks, impressions, and positions are real Google Search Console data. The baseline CTR curve and the AI Overview factors are drawn from published research and will not match any single site exactly. Use the net click delta to prioritise where to earn citations, not as a precise revenue forecast.
Connect Search Console and scan your keywords to see your net estimated click impact from AI Overviews.