Struggling With Your SEO Is Over: This 12-Skill Suite Turns Claude Code Into a Full SEO Agency

Most SEO workflows still rely on a patchwork of five, six, sometimes ten different tools — each with its own dashboard, its own subscription, its own learning curve. Screaming Frog for crawling, Ahrefs for backlinks, Schema App for structured data, a separate platform for AI visibility analysis. The context-switching alone kills productivity. What if a single agent could replace all of them?

That’s exactly what Claude SEO delivers. Built by developer Agrici Daniel as a Claude Code skill, it’s not a single feature — it’s a suite of twelve specialized sub-skills, each purpose-built for a specific layer of SEO. From full-site technical audits to AI search readiness scoring, every major SEO discipline is covered inside one unified system. You run it directly from your terminal or VS Code, and Claude handles the rest.

Here’s a deep look at what the tool actually does, how it performs in practice, and why the GEO component in particular changes the way you should think about content optimization in 2026.

Twelve Tools, One Command Interface

The architecture of Claude SEO is deliberately modular. Each sub-skill is invoked by a simple slash command and targets a specific SEO problem. Together, they cover virtually every dimension of modern SEO practice:

The interface is intentionally minimal. There’s no GUI to learn, no onboarding wizard. You type /seo-audit yourdomain.com and the agent takes it from there — forming a plan, identifying the site’s business type, pulling the sitemap and robots.txt, then executing its analysis pipeline autonomously.

What a Full Audit Actually Looks Like

The flagship skill is SEO Audit, and it runs a multi-stage pipeline that would take a human analyst several hours. The agent starts by fetching the homepage to identify the business category — SaaS, local, e-commerce, media — which informs how it weights subsequent findings. It then crawls the site structure and internal links, runs technical SEO checks, validates schema and structured data, evaluates performance metrics, and performs a visual and mobile analysis using Playwright, a browser automation layer that lets the agent actually render and inspect your pages.

One design choice stands out: Claude SEO runs multiple sub-agents in parallel. During a full audit, up to five concurrent processes are running simultaneously, which brings total execution time down to two to three minutes for a typical site — including crawl, analysis, and report generation.

The output is a structured health score across eight dimensions: Technical SEO, Content Quality, On-Page SEO, Schema & Structured Data, Performance, Images, and AI Search Readiness. Each dimension gets a numerical score, a diagnostic summary, and a prioritized action list. That action list can be fed directly into another Claude agent to implement the fixes — creating a closed-loop optimization workflow.

The agent can also generate a polished PDF version of the full report on request — complete with table of contents, executive summary, screenshots, and issue breakdown — formatted for sharing with clients or keeping as a reference document.

Schema Validation in Under 90 Seconds

The SEO Schema skill demonstrates the depth of Claude SEO’s specialized knowledge. Pointed at a single page URL, it scans for every structured data implementation — JSON-LD blocks, microdata, RDFa — validates each one against current specifications, flags deprecated markup, and identifies missing schema types relevant to the page’s content.

In testing against an about page, the skill completed its full analysis in approximately 80 seconds and returned a 4/10 health score, identifying three JSON-LD blocks that were all identical (a common copy-paste error) and pointing to specific gaps in the schema coverage. Critically, it also generates production-ready replacement schema as part of its output — valid JSON-LD that can be copied and deployed immediately, or handed to another agent for automatic implementation.

The GEO Skill: Optimizing for AI Search Engines

The most forward-looking component of Claude SEO is the SEO GEO module — GEO standing for Generative Engine Optimization. While traditional SEO focuses on ranking signals for Google’s algorithm, GEO addresses a different question: is your content actually being cited by AI systems like ChatGPT, Gemini, Perplexity, and Claude itself?

This distinction matters enormously. AI language models don’t rank pages the way search engines do — they retrieve and synthesize passages. For a passage to be cited, it needs to meet certain structural and length criteria. The GEO skill surfaces a precise finding on this: the sweet spot for AI-citable passages is between 134 and 167 words. Content that falls outside this range — too short, too long, too dense, or too fragmented — is systematically skipped by retrieval systems. AI models are optimizing for efficiency, and content that doesn’t fit the retrieval pattern gets excluded regardless of its quality.

The GEO skill also checks whether your robots.txt is blocking AI crawlers, whether your LLM-relevant meta content is properly formatted, and whether the overall page structure maps well to how generative models process and represent information. A score of 27/100 on a brand-new site, as seen in the demo, isn’t unusual — and the skill’s output gives a clear roadmap to reach the 85+ range where AI citation becomes consistent.

Setup: Terminal or VS Code, Two Minutes Either Way

Claude SEO is open source and hosted on GitHub at github.com/agricidaniel/claude-seo. Installation is a single command for Unix, macOS, or Linux systems. Once installed, the full suite is available inside Claude Code via slash commands.

For users who prefer a graphical environment, Agrici Daniel has also published a companion repo — Claude Code Essentials for VS Code — that sets up the complete environment including Claude Code integration. Both paths converge on the same functional result: a full SEO workbench running inside your local development environment, with no SaaS dependencies.

Who This Is Built For

Claude SEO makes most sense for three types of users. Independent developers and content creators who manage their own sites and want serious SEO capability without ongoing SaaS subscriptions. SEO consultants who need to produce professional audit reports quickly and want to spend their time on strategy rather than tooling. And AI-native builders who are already working inside Claude Code and want to extend their agent workflows into the SEO domain without switching contexts.

The tool is less suited to teams that depend on collaborative SaaS dashboards, or to marketers who need GUI-based workflows. This is firmly a command-line-first, agentic tool — its power comes precisely from operating inside the Claude ecosystem rather than alongside it.

Frequently Asked Questions

Does Claude SEO require a separate API subscription?

No. Claude SEO runs as a Claude Code skill, meaning it uses your existing Claude Code access. There are no additional SaaS subscriptions or platform fees beyond what you already pay for Claude.

How many pages can it audit in a single run?

The system includes quality gates that trigger a warning at 100 pages to preserve context reliability. For sites larger than that, the agent flags the issue rather than silently degrading the analysis quality. The developers plan to continue improving scalability over time.

Can the audit output be used to automatically fix issues?

Yes — this is one of the core design intentions. The reports and action plans are structured for direct consumption by other Claude agents. You can copy the output from an audit and feed it to a separate implementation agent that handles the actual code changes or CMS updates.

What makes GEO different from standard on-page SEO?

Traditional SEO optimizes for keyword signals, crawl efficiency, and link authority — signals that feed Google’s ranking algorithm. GEO optimizes for retrievability by AI language models, which prioritize passage structure, length, and semantic clarity over traditional ranking signals. As AI-powered search accounts for more and more of how people find information, GEO is becoming a parallel discipline to classical SEO, not a subset of it.

Is Claude SEO actively maintained?

Agrici Daniel has indicated the project is under active development, with additional features and improvements planned. Given its open-source nature, community contributions are also a likely growth vector.