claude-seo
Universal SEO skill for Claude Code including sub-skills and agents
GraphCanon updated Oct 9, 2026 · GitHub synced Oct 9, 2026
60views this month
Decision brief
Claude SEO offers specialized AI-driven tools for detailed SEO analysis including technical audits, E-E-A-T improvements, schema marking, local and international SEO support with PDF/Excel reporting.
Good fit when
- For Claude Code users needing comprehensive SEO skill sets
- When seeking integration capabilities with Google APIs for data enrichment
Avoid when
- Do not use if your SEO requirements are met by general tools without AI-driven sub-skills and agents
- Avoid if you do not require deep expertise in E-E-A-T or schema markup handling within the scope of SEO
Observed Jul 16, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (4d since push)
- As of Oct 9, 2026
- Provenance
- Not a fork · Personal account
- As of Oct 9, 2026
- Security (OSV)
- 2 low (2 low)
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install claude-seo PyPISimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
AgriciDaniel/claude-seo is an AI-driven toolset for comprehensive SEO audits that includes technical SEO capabilities, E-E-A-T enhancements, schema markup handling, local SEO support, semantic clustering, e-commerce SEO strategies, international SEO guidance, integration with Google APIs, and reporting in PDF and Excel formats.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Oct 9, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Oct 9, 2026)
The explicit setup step creates an isolated Python environment in Claude'sSource link
Tags
README
Installation ℹ️ Which version are you installing? Public open source (default). The commands below install from : MIT, public releases, no membership required. AI Marketing Hub Pro member? Install the community version with early access instead: swap for and the plugin slug for ....
For agents
This page has a .md twin and JSON over the API.