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Claude SEO

Runs automated, parallel SEO audits inside Claude Code and emits prioritized, testable action plans across technical SEO, content quality (E‑E‑A‑T), Schema.org markup, AI-search (GEO/AEO), local and e-commerce SEO. Operates with 25 sub-skills and 18 specialist agents; optional MCP extensions add live data.

Introduction

Most SEO tools treat audits as one-off snapshots; Claude SEO treats them as LLM-native, repeatable signal pipelines that produce falsifiable recommendations. By running 25 sub-skills and up to 18 specialist agents in parallel inside Claude Code, it turns site signals (schema, CWV, content quality, entity presence) into concrete fixes with explicit "how would we know this failed?" checks and leading indicators.

What Sets It Apart
  • Parallel, agent-driven audits: dispatches many lightweight sub-agents simultaneously so a full site audit completes in minutes rather than hours. So what: faster, repeatable weekly or daily checks that surface regressions as time-series diffs instead of single snapshots.

  • Falsifiability-first recommendations: every finding includes the root observation, dependency relationships, a failure-detection test, and a leading indicator. So what: clients and operators can verify outcomes objectively and prioritize fixes that have measurable signals.

  • AI-search-aware scoring: scores passage citability, question-based heading hierarchy, attribution density, and entity presence, and follows Google's AI Optimization Guide. So what: helps pages be eligible for AI Overviews/AI Mode without treating AI search as a separate, proprietary discipline.

  • Local-first, extensible architecture: works fully offline/no-API by default but supports MCP extensions (Ahrefs, DataForSEO, Firecrawl, Profound, Bing, Unlighthouse) for live backlinks, SERP, and citation intelligence. So what: usable immediately for privacy-conscious audits, upgradeable when you need richer field data.

Who It's For + Tradeoffs

Great fit if you run multiple client or product sites and want repeatable, LLM-driven audits that produce verifiable recommendations (SEO agencies, in-house SEO leads, freelance consultants). It reduces time-to-insight (full audit in ~10–15 minutes) and adds drift monitoring for continuous conversations with stakeholders.

Look elsewhere if you need the deepest possible crawler/link-index intelligence out of the box (Screaming Frog, Ahrefs Site Audit still lead on raw crawl depth and proprietary backlink indexes), or if your site relies on extreme client-side hydration patterns or post-interaction content that cannot be deterministically rendered without manual steps. The free core works without third-party keys; add Google/extension credentials for field data (CrUX, GSC, GA4, Ahrefs) when required.

Information

  • Websitegithub.com
  • AuthorsAgrici Daniel
  • Published date2026/02/07

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