Wire SEO checks into the same workflows you use for tests and deploys. GitHub Actions, n8n, AI agents, WordPress plugins — every integration pattern with worked examples.
SEO regressions don't show up in your test suite. They show up six weeks later in Search Console, after a deploy renamed an H1 or dropped a meta tag. The fix is the same as it was for unit tests: run the check on every PR, fail the build if it regresses, surface the diff. This hub collects every integration pattern we have published — pick the one that fits your stack.
Install one MCP server and your AI assistant can audit URLs, look up observed backlinks and read score history directly, with no custom plumbing to maintain.
A worked example of the /compare endpoint: three payments landing pages audited side by side, with structured diff output ready to paste straight into a deck.
Integrate SEO auditing into your apps with a single REST API call. Scored JSON output, a free tier, a GitHub Action, and Python and Node SDKs all included.
A GitHub Actions workflow that audits SEO on every pull request, posts the results as a comment, and fails the merge when scores drop below your threshold.
Prevent SEO regressions by adding automated audits to your CI/CD pipeline. GitHub Actions, GitLab CI and curl examples that fail the build when SEO breaks.
Install our Claude Code skill and run SEO audits, batch checks and score comparisons straight from your coding session, without leaving the editor. Free.
How to build an AI-powered SEO agent that audits websites, identifies the issues that matter, and recommends specific fixes, using Python and the SEO Score API.
A step-by-step guide to building n8n workflows that audit websites for SEO issues automatically, send alerts when scores drop, and generate client reports.
Step-by-step guide to building a WordPress plugin that shows SEO scores in the admin dashboard using the SEO Score API.
A scoring system measuring how well AI systems like GPTBot, ClaudeBot, and RAG pipelines can read and cite your content. How it works, how to improve it.
llms.txt is an emerging standard telling AI crawlers what to read on your site. How to write one, what to put in it, and why it lifts your AIO score today.
The honest comparisons people ask for most when evaluating an alternative:
Yes. We publish an official GitHub Action that fails the build when an SEO score drops below a threshold. For GitLab, CircleCI, or any other CI, call the REST API directly with curl or our SDKs in Python or Node.
Yes — `seoscoreapi` on PyPI and `seoscoreapi` on npm. Both at v1.1.0. There is also an n8n community node for low-code workflows.
Treat it as a tool/function call. Give the agent the URL, it calls /audit, you get back JSON it can act on. There is a Claude Code skill that wires this up directly in the terminal — see the post above.
Lighthouse is a CLI/library focused on performance and Web Vitals. SEO Score API is a hosted API focused on broader SEO depth — 80+ checks including on-page, schema, AI readability, SXO/AEO/AIO. Different scope, different shape. Many devs run both.
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