SEO Ops Engine

What it does

SEO Ops Engine is an automation pipeline that fuses scattered SEO signals into one prioritized "Content Attack Brief". It merges four data streams: (1) striking-distance keywords from Google Search Console — queries ranking in positions 4-20, one step from the top 3 "quick wins"; (2) competitor gap analysis via Ahrefs — keywords competitors rank for that you don't; (3) multi-source trend detection (Google Trends RSS, Hacker News, Reddit, YouTube outliers); and (4) decaying-page alerts — URLs losing >30% traffic.

Every opportunity is scored on two axes: Impact (0-10) = Volume + CPC + Funnel stage + Trend direction; Confidence (0-10) = Keyword Difficulty + Current rank + Topic authority. Priority = Impact × Confidence (max 100). Keywords are classified into BOFU / MOFU / TOFU by commercial intent, and the output distributes opportunities across an execution pipeline: auto-create → semi-auto → team.

When to use it

• When you want a prioritized list of keywords to target
• When you need to pull quick-win keywords from GSC (weekly cadence)
• For competitor gap analysis or content-opportunity scanning
• To catch decaying pages and traffic drops
• To spot trending topics early for content
• Before promoting any SEO/AEO/GEO playbook change, for closed-loop validation

Method / frameworks

• Striking-distance model (position 4-20): highest-ROI SEO work; on-page fixes move rankings in 2-4 weeks, stabilizing in 6-8.
• Impact × Confidence scoring: two-axis, max-100 priority; numeric ranking instead of gut feel.
• Funnel classification (BOFU/MOFU/TOFU): separates money keywords from informational by intent signals.
• Content gap typology: topic / keyword / intent / format gaps, now including the 2026 AI-citation dimension.
• Content decay detection: catches slow, months-long traffic erosion via a >30% threshold.
• SEO/AEO/GEO closed loop: baseline-vs-candidate window comparison, confounder tracking, promote / keep testing / rollback / unproven decisions across 7/14/28/56-day readbacks.