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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.
Passed 19 of 22 test cases with the skill, and 10 of 22 without it.
and 10 more in the full report
10 fixed11 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
After deploying a site update, the drift check flagged that the title tag and meta description for https://shop.acme.com/items/widget were altered. Which specialized command should be suggested to analyze the page content?
| Checked | Without skill | With skill |
|---|---|---|
| Recommends running `/seo page <url>` for content analysis. | Missed | Passed |
The instructions your model reads when the skill loads.
Git for your SEO. Capture baselines, detect regressions, track changes over time.
| Command | Purpose |
|---|---|
/seo drift baseline <url> | Capture current SEO state as a "known good" snapshot |
/seo drift compare <url> | Compare current page state to stored baseline |
/seo drift history <url> | Show change history and past comparisons |
Every baseline records these SEO-critical elements:
| Element | Field | Source |
|---|---|---|
| Title tag | title | parse_html.py |
| Meta description | meta_description | parse_html.py |
| Canonical URL | canonical | parse_html.py |
| Robots directives | meta_robots | parse_html.py |
| H1 headings | h1 (array) | parse_html.py |
| H2 headings | h2 (array) | parse_html.py |
| H3 headings | h3 (array) | parse_html.py |
| JSON-LD schema | schema (array) | parse_html.py |
| Open Graph tags | open_graph (dict) | parse_html.py |
| Core Web Vitals | cwv (dict) | pagespeed_check.py |
| HTTP status code | status_code | fetch_page.py |
| HTML content hash | html_hash (SHA-256) | Computed |
| Schema content hash | schema_hash (SHA-256) | Computed |
test cases passed, vs 10 / 22 without
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