Technical SEO Audit Workflow
Use SEO MCP to run a structured technical SEO audit across crawlability, indexing signals, metadata, content structure, links, images, and performance.
A technical SEO audit with SEO MCP should move from site-wide patterns to page-level proof. Start with a completed crawl, inspect the overview, then query the records behind each finding. This produces a prioritized action plan instead of a generic checklist.
What this workflow covers
| Audit layer | Evidence to inspect |
|---|---|
| Crawl access | HTTP status, final URL, response time, content type |
| Indexing signals | Canonical presence and match, crawl depth |
| Search appearance | Title, description, H1, Open Graph, Twitter Card |
| Content structure | Word count, H1/H2 counts, content ratio |
| Structured data | JSON-LD count |
| Internal discovery | Internal links, external links, total links |
| Media | Image count and missing-alt count |
Recommended prompt
Run a read-only technical SEO audit on the latest completed crawl for [PROJECT].
Start with the on-page overview. Then investigate:
- non-2xx HTML pages
- missing or weak titles and descriptions
- H1 problems
- missing or mismatched canonicals
- deep pages
- slow responses
- pages with missing image alt text
- pages without expected social metadata
For every issue, show the filter used, affected count, representative URLs,
likely impact, recommended owner, and validation step.
Group template-wide patterns separately from one-off pages.Tool sequence
list_projectslist_crawlsget_crawl_summaryget_on_page_overviewlist_quick_winslist_pageswith one or more structured filtersget_page_detailsfor representative or high-value URLs
Prioritization model
Prioritize with four questions:
- Reach: How many indexable or business-critical pages are affected?
- Severity: Does the issue block access or send a conflicting signal?
- Pattern: Can one template fix resolve many URLs?
- Confidence: Is the conclusion supported by page-level evidence?
A 404 in the global navigation may deserve attention before hundreds of harmless redirects in an old archive. Counts need context.
Validate the result
Ask the agent to provide:
- The exact crawl UID and crawl completion time.
- Every filter field, operator, and value.
- A bounded sample of affected URLs.
- Any limitations in the available crawl data.
- The metric that should change after the fix.
After implementation, run a new crawl and use the crawl comparison workflow.
Related documentation
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