What is Claude SEO?
Claude SEO is an MIT-licensed SEO toolkit for Claude Code, intended for agencies, in-house SEO teams and independent consultants. It combines specialized skills and agents to assess websites, adapt checks to the business type and consolidate findings into a prioritized action plan. Coverage includes technical SEO, content quality, structured data, local search, e-commerce and international SEO.
The plugin runs locally on macOS, Linux and Windows. Installation uses the Claude Code plugin marketplace or manual scripts, with setup preparing an isolated Python environment and a headless browser for JavaScript-rendered pages. Reports can be retained as Markdown, with PDF reporting also available. Optional extensions and Google API connections add external data, sometimes requiring separate credentials or service charges.
Its health score is a prioritization heuristic rather than a Google metric or a prediction of rankings, traffic or AI citations. The project positions the toolkit alongside dedicated crawlers and SEO platforms, which may offer deeper crawling or larger proprietary datasets.
Key capabilities
- Technical auditing: Reviews crawlability, indexability, redirects, sitemaps, rendering and performance issues.
- Content analysis: Evaluates content quality, E-E-A-T signals, topic coverage and search intent, and generates content briefs.
- Structured data: Detects and validates existing markup and generates Schema.org JSON-LD.
- AI readiness: Assesses AI crawler access, passage citability and how browsing agents can read and use a website.
- Specialized SEO: Supports local search, backlinks, e-commerce, international SEO and semantic topic clustering.
- Reporting and monitoring: Produces prioritized findings and action plans, exports reports and compares stored page snapshots for regressions.
Where Claude SEO fits
Claude SEO fits terminal-based website reviews, recurring agency audits and pre-release checks by in-house teams. Full-site audits provide a broad assessment, while individual commands support focused investigations into content, schema, technical issues or AI search readiness. Stored baselines can support later regression checks.
Before deployment, teams should verify Claude Code access, supported Python dependencies and browser readiness. They should also identify which findings require connected data sources, confirm credentials and charges for optional services, and review evidence before implementing generated changes. Local execution should not be treated as proof that all processing remains on the machine.
Positioning and limitations
Claude SEO suits SEO practitioners and technical teams that already use Claude Code and prefer locally installed, extensible workflows with retained report files. It is not a standalone browser-based SEO service. Its analysis can complement dedicated crawlers and data platforms, but does not replace their crawl depth or proprietary datasets, and its scores do not establish search performance outcomes.
Why it matters
Claude SEO brings technical, editorial and AI search checks into a shared review workflow, connecting findings with priorities and ways to assess fixes. This can help teams turn audit output into implementation work, provided they evaluate the underlying evidence rather than treating aggregate scores as search-engine measurements.
Claude SEO: key facts
- First published
- Profile updated
- Access
- Self-hosted
- Source model
- Open source
- GitHub repository stars
- 25,136
- Repository forks
- 3,325
- Main repository language
- Python
- Repository license
- MIT ↗
- Pricing model
- Open source
- Repository release
- v2.5.0 ↗ ·
- Website
- github.com ↗
- GitHub
- Source repository ↗
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What to verify
Start from the users, systems and operating responsibilities the tool needs to support.
- Confirm current features, licensing and support terms.
- Validate deployment, data location and access control.
- Test integrations, exports and recovery workflows.
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