GitHub SEO fix agent
Turn audit findings into a pull request.
Finding a missing canonical is only useful if someone can fix it. Astle AI connects audit evidence to a background coding job that proposes scoped changes in a draft GitHub pull request.
Run a free website auditFrom website evidence to reviewable code
Run an audit first, then connect the GitHub repository that actually serves that website. The agent inspects supported source files, prepares a proposal and validates the repository before attempting a pull request. A finding that cannot be safely mapped to the available source is left unresolved rather than silently marked fixed.
- Install the GitHub app only on repositories you want to make available.
- Select the matching repository and audit, then inspect the preflight result.
- Spend credits to queue the supported background fix job.
- Review the draft PR, validation results and unresolved findings.
- Merge and deploy through your normal process, then check the live website again.
What the agent is designed to change
The current workflow targets supported Next.js projects with an npm lockfile and a working build. Depending on the evidence and source, a proposal may address metadata, canonical declarations, structured data or supported crawl-discovery files. Support depends on the repository; connecting GitHub does not make every framework or finding automatically fixable.
Edits are constrained by file and content checks. The agent is not an unrestricted maintainer: dependency manifests, workflow files, secrets and other sensitive paths are excluded from its editing scope. Build validation compares the original project with the proposed changes in an isolated environment.
A passing build is the start of review
A build can pass while a title misstates the product or a canonical points at the wrong business domain. Check each change for factual accuracy, public URL correctness and consistency with the rest of your site. Keep only schema properties that are supported by the visible page.
A fix job costs 100 credits. It produces a draft PR when successful; it does not automatically merge or deploy it. Re-auditing after deployment checks implementation, while later visibility samples help you observe answer-engine behavior. Neither a PR nor a clean audit guarantees a ranking or citation.