← SEO Score API

SEO for developers

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.

Articles in this hub

SEO audits in Claude + Cursor: our new MCP server

Install one MCP server and your AI assistant can audit URLs, look up observed backlinks, and read score history without any custom plumbing.

2026-05-01

SEO Audit API for Developers: Complete Guide

Integrate SEO auditing into your apps with a single REST API call. JSON output, free tier, GitHub Action and Python/Node SDKs included.

2026-02-25

SEO Quality Gates with GitHub Actions

A GitHub Actions workflow that audits SEO on every PR, posts results as comments, and fails merges when scores drop below your threshold.

2026-04-02

Add SEO Checks to Your CI/CD Pipeline

Prevent SEO regressions by adding automated audits to your CI/CD pipeline. GitHub Actions, GitLab CI, and curl examples — fail builds that break SEO.

2026-02-25

Claude Code SEO Skill: Audits in Your Terminal

Install our Claude Code custom skill and run SEO audits, batch checks, and score comparisons directly from your coding sessions. Free to start.

2026-03-03

Build an AI SEO Agent: Automated Website Auditing with Python

How to build an AI-powered SEO agent that audits websites, identifies issues, and recommends fixes using Python and the SEO Score API.

2026-02-25

How to Automate SEO Audits with n8n and SEO Score API

Step-by-step guide to building n8n workflows that automatically audit websites for SEO issues, send alerts, and generate reports.

2026-02-25

Build a WordPress SEO Audit Plugin in 30 Minutes

Step-by-step guide to building a WordPress plugin that shows SEO scores in the admin dashboard using the SEO Score API.

2026-02-25

AI Readability Score: LLM Visibility Check

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.

2026-03-04

llms.txt: What It Is and How to Write It

llms.txt is an emerging standard that tells AI crawlers what to read on your site. Learn how to write one and why it improves your AIO score.

2026-04-27

Compare with other tools

The honest comparisons people ask for most when evaluating an alternative:

SEO Score API vs Lighthouse →SEO Score API vs PageSpeed Insights →SEO Score API vs Screaming Frog →Lighthouse alternatives →

Frequently asked

Can I run SEO Score API in CI/CD?

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.

Is there a Python or Node SDK?

Yes — `seoscoreapi` on PyPI and `seoscoreapi` on npm. Both at v1.1.0. There is also an n8n community node for low-code workflows.

How do I use SEO Score API from an AI agent?

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.

How is this different from Lighthouse?

Lighthouse is a CLI/library focused on performance and Web Vitals. SEO Score API is a hosted API focused on broader SEO depth — 82 checks including on-page, schema, AI readability, SXO/AEO/AIO. Different scope, different shape. Many devs run both.

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