Audit the current site
Collect issues and supporting context from the live experience and repository.

Move from diagnosis to a prioritized plan, exact repository changes, CI and deployment checks, and a live re-audit—without turning control over to a black box.
druidx run website-seo-audits. loading business context. structured-diagnosis, review the site across content, search visibility, user experience, and implementation concerns. prioritized-plan, turn findings into an ordered set of fixes with rationale and expected impact. repository-analysis, trace relevant issues to the codebase instead of treating every problem as a copy edit. exact-patch-review, inspect proposed changes before they are applied to the working branch. pull-request-workflow, prepare a draft pr and check ci or deployment status as part of delivery. 5 steps complete · output saved to Library.
Connect recommendations to verifiable implementation.
Most audits stop at a long list of generic issues. DruidX can connect findings to the repository workflow, show the proposed patch, request approval, and verify what happened after deployment.
Review the site across content, search visibility, user experience, and implementation concerns.
Turn findings into an ordered set of fixes with rationale and expected impact.
Trace relevant issues to the codebase instead of treating every problem as a copy edit.
Inspect proposed changes before they are applied to the working branch.
Prepare a draft PR and check CI or deployment status as part of delivery.
Revisit the deployed site and re-audit the result to confirm the fix reached production.
The objective, the execution, and the outputs stay connected, so nothing gets rebuilt in the next tool.
Collect issues and supporting context from the live experience and repository.
Review priorities and exact changes before implementation continues.
Check the PR, CI, deployment, live page, and follow-up audit in sequence.
Useful outputs your team can open, share, and build on — not another stream of chat.
Catch message, metadata, usability, and implementation problems before a campaign goes live.
Translate discoverability problems into a practical content and technical worklist.
Run focused audits after meaningful changes and keep the evidence with the project.
Your next move
Set up a workspace, add the context that matters, and let your AI team turn the goal into reviewed, reusable work.