Search Console Impact Diff
Pinpoint where organic traffic changed and why
Create a tight "before vs after" diff for Google Search Console (queries, pages, CTR, position) to identify the specific segments driving traffic loss or gains. Produces a prioritized action list and hypotheses per segment.
INGREDIENTS
PROMPT
Build a Search Console before/after impact diff. Output: - Top 10 loss segments with hypotheses (why each dropped) - Top 10 win segments (what to replicate) - Action plan: quick wins (this week) + strategic fixes (this month) - SERP change notes (AI overviews, feature shifts, ad density) Inputs: - Baseline dates: - Affected dates: - Export snippets or summaries: - Primary conversions impacted: - Any known SERP feature changes:
How It Works
This recipe turns vague "SEO is down" into a segmented diagnosis you can act on.
Triggers
- Post-update traffic drop
- Clicks down while position is stable (CTR/SERP shift suspicion)
Inputs
- Two date ranges (baseline vs affected)
- Query/page exports (top 1k–10k rows)
- Notes on SERP changes (AI answers, new features, ads density)
Outputs
- Top loss/gain segments (query class, page type, device)
- CTR vs position interpretation notes
- Action plan per segment (content rewrite, snippet optimization, internal links, tech fixes)
Actions / Steps
- Rank losses by business impact (not just clicks).
- Separate ranking loss vs CTR loss vs indexing loss.
- Generate "quick wins" (titles/snippets, internal links) and "structural fixes" (templates, topical authority).
Parameters
- Minimum impact threshold to include a segment
- Segment taxonomy (intent, funnel stage, topic cluster)