Image SEO Audit Workflow
Use SEO MCP to find large, broken, or poorly described images and trace each asset back to the pages where it appears.
An image SEO audit should connect asset-level findings to page context. SEO MCP can list image records, filter them by measurable conditions, and retrieve source pages for assets that need attention.
Audit prompt
Build an image SEO optimization queue from the latest completed crawl.
Find:
- images with missing alt text
- failed image responses
- unusually large response sizes
- slow image responses
- formats that may have better alternatives
For each priority asset, show its URL, measured fields, source-page count,
representative source pages, recommended action, and validation method.
Group repeated assets before page-specific images.Tool sequence
list_projectslist_crawlslist_imageswith structured filtersget_image_sourcesfor repeated or high-impact assetsget_page_detailswhen page context affects the recommendation
What to review
Missing alt text
Missing alt text is not always an error. Decorative images can use empty alt text, while meaningful images need concise text that communicates their purpose in context. The crawler identifies candidates; a human or context-aware agent should decide the correct treatment.
Response size and format
Large assets can affect load performance, but the right threshold depends on visual dimensions, device usage, quality needs, and whether responsive variants exist. Prioritize assets reused across many pages.
Broken image responses
Trace a failed asset to its source pages. A shared logo or template image has broader impact than an isolated historical asset.
Prioritization table
| Candidate | Priority signal |
|---|---|
| Reused hero image | Large size plus many source pages |
| Product or content image | Missing alt text on an important page |
| Shared UI asset | Failed response across a template |
| Legacy format | Large response and no responsive alternative |
Validate after changes
Run another crawl and compare failed images, missing-alt candidates, and response sizes. Use page performance data separately to confirm whether image work improved real experience.
Related documentation