Coding

seo-drift

Try it

SEO drift monitoring: capture baselines of SEO-critical elements, detect changes, and track regressions over time. Git for SEO: baseline, diff, and track changes to your on-page SEO. Use when user says "SEO drift", "baseline", "track changes", "did anything break", "SEO regression", "compare SEO", "before and after", "monitor SEO changes", or "deployment check".

What it does

SEO drift monitoring: capture baselines of SEO-critical elements, detect changes, and track regressions over time. Git for SEO: baseline, diff, and track changes to your on-page SEO. Use when user says "SEO drift", "baseline", "track changes", "did anything break", "SEO regression", "compare SEO", "before and after", "monitor SEO changes", or "deployment check".

The skill document

SEO Drift Monitor (April 2026)

Git for your SEO. Capture baselines, detect regressions, track changes over time.


Commands

CommandPurpose
/seo drift baseline Capture current SEO state as a "known good" snapshot
/seo drift compare Compare current page state to stored baseline
/seo drift history Show change history and past comparisons

What It Captures

Every baseline records these SEO-critical elements:

ElementFieldSource
Title tagtitleseogeo parse
Meta descriptionmeta_descriptionseogeo parse
Canonical URLcanonicalseogeo parse
Robots directivesmeta_robotsseogeo parse
H1 headingsh1 (array)seogeo parse
H2 headingsh2 (array)seogeo parse
H3 headingsh3 (array)seogeo parse
JSON-LD schemaschema (array)seogeo parse
Open Graph tagsopen_graph (dict)seogeo parse
Core Web Vitalscwv (dict)seogeo pagespeed
HTTP status codestatus_codeseogeo fetch
HTML content hashhtml_hash (SHA-256)Computed
Schema content hashschema_hash (SHA-256)Computed

How Comparison Works

The comparison engine applies 17 rules across 3 severity levels. Load references/comparison-rules.md for the full rule set with thresholds, recommended actions, and cross-skill references.

Severity Levels

LevelMeaningResponse Time
CRITICALSEO-breaking change, likely traffic lossImmediate
WARNINGPotential impact, needs investigationWithin 1 week
INFOAwareness only, may be intentionalReview at convenience

Storage

All data is stored locally in SQLite:

~/.cache/seo-geo-skill/drift/baselines.db

Tables

  • baselines: Captured snapshots with all SEO elements
  • comparisons: Diff results with triggered rules and severities

URL normalization ensures consistent matching: lowercase scheme/host, strip default ports (80/443), sort query parameters, remove UTM parameters, strip trailing slashes.


Command: baseline

Captures the current state of a page and stores it.

Steps:

  1. Validate URL (SSRF protection via google_auth.validate_url())
  2. Fetch page via seogeo fetch
  3. Parse HTML via seogeo parse
  4. Optionally fetch CWV via seogeo pagespeed (use --skip-cwv to skip)
  5. Hash HTML body and schema content (SHA-256)
  6. Store snapshot in SQLite

Execution:

seogeo drift baseline 
seogeo drift baseline  --skip-cwv

Output: JSON with baseline ID, timestamp, URL, and summary of captured elements.


Command: compare

Fetches the current page state and diffs it against the most recent baseline.

Steps:

  1. Validate URL
  2. Load most recent baseline from SQLite (or specific --baseline-id)
  3. Fetch and parse current page state
  4. Run all 17 comparison rules
  5. Classify findings by severity
  6. Store comparison result
  7. Output JSON diff report

Execution:

seogeo drift compare 
seogeo drift compare  --baseline-id 5
seogeo drift compare  --skip-cwv

Output: JSON with all triggered rules, old/new values, severity, and actions.

After comparison, offer to generate an HTML report:

seogeo drift report  --output drift-report.html

Command: history

Shows all baselines and comparisons for a URL.

Execution:

seogeo drift history 
seogeo drift history  --limit 10

Output: JSON array of baselines (newest first) with timestamps and comparison summaries.


Cross-Skill Integration

When drift is detected, recommend the appropriate specialized skill:

FindingRecommendation
Schema removed or modifiedRun /seo schema for full validation
CWV regressionRun /seo technical for performance audit
Title or meta description changedRun /seo page for content analysis
Canonical changed or removedRun /seo technical for indexability check
Noindex addedRun /seo technical for crawlability audit
H1/heading structure changedRun /seo content for E-E-A-T review
OG tags removedRun /seo page for social sharing analysis
Status code changed to errorRun /seo technical for full diagnostics

Error Handling

ScenarioAction
URL unreachableReport error from seogeo fetch. Do not guess state. Suggest user verify URL.
No baseline exists for URLInform user and suggest running baseline first.
SSRF blocked (private IP)Report validate_url() rejection. Never bypass.
SQLite database missingAuto-create on first use. No error.
CWV fetch fails (no API key)Store null for CWV fields. Skip CWV rules during comparison.
Page returns 4xx/5xxStill capture as baseline (status code IS a tracked field).
Multiple baselines existUse most recent unless --baseline-id specified.

Security

  • All URL fetching goes through seogeo fetch which enforces SSRF protection (blocks private IPs, loopback, reserved ranges, GCP metadata endpoints)
  • No curl, no subprocess HTTP calls -- only the project's validated fetch pipeline
  • All SQLite queries use parameterized placeholders (?), never string interpolation
  • TLS always verified -- no verify=False anywhere in the pipeline

Typical Workflows

Pre/Post Deployment Check

/seo drift baseline https://example.com     # Before deploy
# ... deploy happens ...
/seo drift compare https://example.com      # After deploy

Ongoing Monitoring

/seo drift baseline https://example.com     # Initial capture
# ... weeks later ...
/seo drift compare https://example.com      # Check for drift
/seo drift history https://example.com      # Review all changes

Investigating a Traffic Drop

/seo drift compare https://example.com      # What changed?
/seo drift history https://example.com      # When did it change?

Related skills

Tracks Google search rankings and SERP features for any keyword using apidojo's Google Search scraper on Apify. Triggers when the user asks to: check Google rankings for a keyword, see who ranks on page 1 for a search term, track SERP positions for a list of keywords, monitor competitor rankings on Google, find featured snippets or People Also Ask boxes for a query, analyze the search results landscape for a topic, audit top-ranking content for a keyword, or research organic search competition for SEO. Returns ranking position, URL, title, snippet, and SERP feature type per result. Ideal for SEO managers, content strategists, and digital marketing agencies.

1 installs

Use when the user asks to "check if our surfaces have drifted from the canon", "watch for competitor repositioning", or "define when we should reposition"; p...

Daily SEO health check — validates all blog posts for SEO completeness, checks sitemap, robots.txt, meta tags, broken links, and RSS feed.

1 installs

Performs comprehensive SEO audits on websites covering technical SEO, on-page optimization, off-page signals, and performance metrics. Generates actionable r...

Use when the user asks to "generate an SEO report", "出月报", "set SEO alerts", or "排名掉了提醒我"; two modes — report builds multi-metric traffic/ranking/authority/c...

2 installs