SEO Drift

SEO Drift Monitoring

Overview

Capture a known-good SEO baseline and compare later snapshots against it so regressions become visible. The skill combines search-performance data with live on-page checks to surface ranking drops, deindexation, overwritten metadata, directive changes, and missing schema before they quietly cost traffic.

This portable version is adapted from the official seo-drift skill in NotFair.

When to Use

Use this skill when the user asks to:

• baseline or monitor a site's SEO over time;
• check whether a migration, redesign, CMS change, or redeploy damaged SEO;
• compare current search performance and page metadata with a prior snapshot;
• investigate titles, descriptions, canonicals, robots directives, or schema that changed unexpectedly;
• identify rankings or indexed pages that disappeared.

For a one-time comprehensive SEO audit with no historical comparison, use a general SEO audit skill instead.

Prerequisites

Before capturing data:

1. Confirm the site and the key URLs in scope. Prefer top organic landing pages, commercial pages, and any URLs affected by a recent release.
2. Confirm baseline or compare mode. If no prior snapshot exists, use baseline mode and explain that there is nothing to compare yet.
3. Ask where the snapshot should be stored. Use a local seo-drift/ directory alongside the user's other audit reports only after confirming the intended project or reports location.
4. Prefer a connected Google Search Console source for query, page, position, impression, click, and indexation signals.
5. Use a browser or web-fetch capability for current on-page values. Respect robots directives and avoid high-volume crawling.

If Search Console is unavailable, continue only with the on-page comparison and state that ranking and indexation drift could not be measured. Never infer missing Search Console values from a live crawl.

How It Works

1. Choose the comparison boundary

Record:

• the site property and snapshot date supplied by the user or runtime;
• whether the snapshot is a baseline or comparison;
• the prior snapshot used for comparison, when applicable;
• the exact URL set and search-data window;
• any known migration, release, or CMS event that may explain expected changes.

Do not invent dates or silently compare mismatched date windows.

2. Capture the current snapshot

For the agreed URL set, collect:

• Search performance: query and page clicks, impressions, click-through rate, and average position for a stable window;
• Indexation: indexed status or coverage evidence for each key URL when the connected source exposes it;
• Metadata: title, meta description, and H1;
• Directives: canonical URL, robots header, and meta-robots value;
• Structured data: schema types present;
• Content shape: word count and another stable content fingerprint or summary useful for detecting large changes.

Persist both the values and their source. Keep unavailable fields as unknown; do not coerce them to zero or absent.

3. Diff against the previous baseline

Surface changes in five groups:

1. Rankings: queries that dropped by the agreed threshold or disappeared from the observed window.
2. Indexation: key pages that lost indexed status or a material drop in indexed-page count.
3. Metadata: titles, descriptions, or H1s that changed, became blank, or fell back to a generic template.
4. Directives: canonicals that changed or disappeared, and newly introduced noindex directives.
5. Schema: structured-data types that disappeared from pages where they previously existed.

Separate expected content changes from unexplained regressions. A changed value is evidence of drift, not proof of causation.