Traffic Drop Analytics
Automated root cause analysis at the URL level - so you fix the right problem instead of guessing at keywords.
You get a pattern-matched diagnosis in minutes, not a spreadsheet in weeks.
Six diagnostic layers that pinpoint why traffic fell and what to do about it next.
Automated Triage
Every URL with more than a 5% non-brand traffic drop is flagged and queued for analysis. No manual filtering, no missed signals.
Technical Health Check
Instant checks for de-indexation, robots.txt blocks, no-index tags, canonical errors, and server errors - the silent killers that get missed.
Pattern Matching
Impressions, CTR, and position data are cross-referenced to classify the drop as demand reduction, SERP loss, snippet degradation.
ERP Feature Tracking
Detect if AI Overviews, featured snippets, video carousels, or shopping ads appeared or disappeared - and who captured them instead.
Cannibalisation Detection
Identify when multiple URLs compete for the same query, splitting equity and dragging each other down in rankings.
Algo Update Overlay
Correlate drops with confirmed Google algorithm updates to separate systemic changes from site-specific issues.
What a strong AI visibility program produces
Clear outcomes that leadership can understand.
URL-Level Signal Triage
Instant Technical Health Scans
SERP Feature Change Detection
Cannibalization Auto-Detection
Pattern-Matched Diagnosis Engine
Explore our Blogs
Real results from real brands
See how we've driven organic revenue and AI search dominance across e-commerce, SaaS, and wholesale.
