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seo-drift

Compare current website SEO elements against stored baselines to detect regressions.

1|Updated Jun 19, 2026
Search Tags:#schema#baseline#seo#regression detection#technical seo#drift monitoring#deployment check
One-click install
npx skills add https://github.com/rjit1/ai-seo --skill seo-drift-rjit1
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: seo-drift
Source: https://github.com/rjit1/ai-seo/tree/main/claude-seo/skills/seo-drift
Command: npx skills add https://github.com/rjit1/ai-seo --skill seo-drift-rjit1

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps SEO teams detect unexpected website changes that can damage rankings, visibility, and search performance by comparing current pages against known-good SEO baselines.

Core Features & Use Cases

  • SEO Baseline Tracking: Capture and store snapshots of critical on-page SEO elements including titles, metadata, canonicals, headings, schema, Open Graph data, and performance metrics.
  • Regression Detection: Compare page states over time with severity-based alerts for critical, warning, and informational SEO changes.
  • Use Case: After a website deployment, use this Skill to identify whether important SEO elements such as canonical tags, structured data, indexation directives, or page content have changed unexpectedly.

Quick Start

Use the seo-drift skill to compare the current SEO state of https://example.com against its stored baseline and report any regressions.

Frequently Asked Questions about seo-drift

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect SEO regressions after a website deployment?▼

Detect SEO regressions by comparing current website page states against stored SEO baselines. This process identifies unexpected changes to critical elements like titles, canonicals, and schema before traffic drops occur.

What on-page SEO elements can be monitored for unexpected changes?▼

SEO baseline tracking monitors critical on-page elements including titles, metadata, canonicals, headings, structured schema, Open Graph data, and performance metrics to identify technical and content regressions.

How do I investigate a sudden drop in organic search traffic?▼

Investigate traffic drops by comparing current page states against known-good SEO baselines. This regression detection highlights severity-based changes to indexation directives, canonicals, or schema that may have caused the visibility loss.

Does SEO baseline tracking require HTML parsing to monitor schema and metadata?▼

Yes, SEO baseline tracking requires HTML parsing to extract and store snapshots of critical on-page elements. The system then applies SEO element diffing against these stored baselines to identify technical regressions.

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