seo-analyzer

To check HTML or JSX files for SEO issues, run a lightweight Python validation script against the target file to verify required meta tags, titles, Open Graph data, and image alt attributes, providing a quick compliance snapshot and targeted fixes.

You can validate Open Graph tags and image alt text without external services by running a local Python script that parses HTML or JSX content against a JSON ruleset, verifying required social metadata and accessibility attributes offline.

Yes, the SEO analyzer works with React and JSX static pages by parsing HTML or JSX content directly to validate SEO best practices, including checking meta tags, Open Graph data, single H1 presence, and image alt attributes.

The best way to automate basic web audit checks for accessibility and SEO is using a script-based approach with a JSON ruleset that validates HTML or JSX content locally, checking single H1 presence, meta descriptions, and image alt text compliance without relying on LLMs.

No, you do not need to install external dependencies to validate SEO compliance on frontend projects. The analyzer uses an included lightweight Python script and a JSON ruleset to perform meta tag and accessibility validation directly offline.

When auditing a React page for SEO compliance, the checker validates the presence of title tags, meta descriptions, Open Graph data including og:image, a single H1 tag per page, and image alt attributes using an internal JSON ruleset.