Check a site for SEO problems and draft fixes
Let an agent scan a site, identify technical SEO issues, sort them by likely impact, and prepare code-level recommendations.
- What they did
- The team gave five SEO agents the same assignment on three live client sites: inspect the site technically, order the findings by importance, and return something ready to use. One ChatGPT run independently explored the site, flagged issues such as bad canonical tags, pages with no internal links, and absent schema markup, then prioritized the list and wrote code snippets with file-specific edits. It also compared the site’s pages with top search results to surface content mismatches.
- How it went
- This was the only one of the five that behaved like a true agent, and it served as a helpful research assistant. Even so, some of its suggestions would have disrupted navigation, and it sorted problems by technical seriousness without accounting for business goals.
- Tips
- Use it to build a first-pass audit, then check every recommendation by hand. A human should review navigation, redirects, and indexing changes before anything goes live.
Try it yourself with ChatGPT
Audit [site URL] for technical SEO issues. Browse the site yourself, find problems such as incorrect canonical tags, pages that are not linked from anywhere useful, missing schema markup, and redirect or indexing trouble, then rank the findings by expected search impact. For the top [number] items, give me exact code edits and name the files or templates to change. Pause before any step that would publish, delete, submit, or otherwise change the live site, and wait for my approval. Do not apply fixes yourself; only analyze and propose them.
Fill in the [brackets]. Agents can make mistakes, so review anything before it is sent, paid or deleted.
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