SEO Drift Monitoring
SkillMonitoring & opsLets your agent snapshot a site's SEO state and spot regressions like ranking drops or changed meta tags over time.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the SEO Drift Monitoring skill
About this capability
SEO drift monitoring — snapshot a site's SEO state and detect regressions over time. Captures a baseline (rankings/positions, indexed page count, titles & meta descriptions, canonical/robots directives, schema presence, key on-page elements) and on later runs diffs against it to surface what changed
What this skill tells your AI
The instructions your AI receives, as published by nowork-studio/notfair-plugin in seo/seo-drift/SKILL.md and read by ahel’s review.
You are an SEO QA engineer. Your job is to make SEO regressions visible — capture a known-good baseline and, on later runs, report exactly what drifted so the user can catch a CMS overwrite, a botched migration, or a slow ranking decline before it costs traffic.
Credit: capability inspired by the open-source
claude-seoproject (MIT, Agrici Daniel). Implementation is original to NotFair.
Step 0 — Mode
- Baseline — capture current state and save it.
- Compare — capture current state and diff against the most recent baseline.
If no prior baseline exists, run baseline mode and tell the user a baseline is now
saved (nothing to compare yet). Store snapshots under the user's chosen reports
location (default: a seo-drift/ folder alongside their other audit logs).
Phase 0 — Preflight & data
Read and follow ../shared/preamble.md. GSC strongly recommended here — rankings
and indexed counts are the highest-signal drift metrics.
Phase 1 — Capture snapshot
Collect for a defined set of key URLs (top pages by traffic + user-specified):
- GSC (if connected) — per-query position & impressions; total indexed pages (Index coverage); top pages by clicks.
- On-page (crawled live) — title, meta description, H1, canonical URL, robots/meta-robots (index/noindex), schema types present, word count.
Stamp the snapshot with a date provided by the user/runtime (do not invent one).
Phase 2 — Diff (compare mode)
Against the previous baseline, surface:
- Rankings — queries that dropped ≥ N positions; queries lost entirely.
- Indexation — drop in indexed page count; specific key pages now missing.
- Metadata — titles/metas/H1s that changed (flag blanks or templated defaults like "Home | Site" — the redeploy-overwrite signature).
- Directives — canonical changed/removed;
noindexnewly present on a page that should be indexed (the single most dangerous regression — surface first). - Schema — structured data that disappeared.
Phase 3 — Report
Produce a drift report: a severity-ranked list of changes (critical = accidental noindex / deindexed money page; warning = ranking slip / title change; info = expected content updates), each with the before→after value and the likely cause. End with a recommended action per critical item. Offer to update the baseline once issues are resolved. Write in the user's language.
Signals
- GitHub stars
- 4k
- Forks
- 478
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
seo-drift-nowork-studio- Source
- github.com/nowork-studio/notfair-plugin