What it is.
The guide insists on diagnosis first, because a quality demotion and an AI Overview absorbing your query call for different work.
It splits the drop by page type and keyword cluster, then scores each page. Bottom-of-funnel pages hold 20% to 40% more of their clicks through an AI Overview than purely informational ones.
Three recoveries are documented with figures, including Locus returning to about 95% of peak clicks and Saras Analytics growing blog traffic 237% across 15 months after cutting 197 of 778 pages.
What you get.
- A three-step diagnosis that separates algorithm drops from AI Overview absorption
- A five-step recovery sequence, from prioritization through to rebuilding topical authority
- The page-type finding, where bottom-funnel pages hold 20% to 40% more clicks through an AI Overview
- Locus, back to roughly 95% of peak clicks with organic pipeline of $1.7M against an $841K target
- Saras Analytics, blog traffic up 237% over 15 months after cutting 197 of 778 pages
- The diagnostic tools used at each step
Read it at the source.
Read the guide
Where do I start after a drop?
Is this your own playbook?
How do you tell an algorithm drop from an AI Overview drop?
How long does recovery take?
Which pages survive AI Overviews best?
Should you cut pages to recover traffic?