What you receive
We compare page and query baselines, exposure assumptions and published study scenarios, then identify changes worth testing rather than promising recovered clicks.
- A reproducible Search Console baseline with data-quality and coverage notes.
- Low, middle and high impact scenarios tied to affected impressions—not every click.
- A test backlog spanning answer quality, snippet intent, page value and conversion paths.
How the engagement works
- Establish the baseline and measurement contract.
- Fix access and evidence gaps, then implement the highest-value pages.
- Repeat the same tests, review real outcomes and document what changed.
Related guides and tools
Why AI Overview CTR studies report losses from 15% to 58%
A method-by-method comparison of Amsive, Pew and Ahrefs findings, with the denominators and limitations needed for responsible planning.
Why AI Overview CTR studies report losses from 15% to 58% | NAVINES SEO LabHow to measure organic success in a zero-click search world
A measurement system for AI visibility, citations, qualified visits and business outcomes when clicks alone no longer describe discovery.
How to measure organic success in a zero-click search world | NAVINES SEO LabAI Overview CTR Impact Lab
Upload Search Console CSV exports and model multiple click-impact scenarios with visible assumptions.
AI Overview CTR Impact Lab | NAVINES SEO LabPrimary sources
- Generative AI performance report — Google Search Console Help; 2026-06; 2026-08-19.
- AI Overviews Reduce Clicks by 58% — Ahrefs; 2026-02-04; 2026-08-19.
- Google users are less likely to click on links when an AI summary appears in the results — Pew Research Center; 2025-07-22; 2026-08-19.
- Google AI Overviews: New Research Reveals How to Navigate Click Drop-Off — Amsive; 2025-04-16; 2026-08-19.