marketing▌

Good examples:

Read skills/seo/references/eeat-framework.md for full criteria.

If DataForSEO MCP tools are available, spawn the seo-dataforseo agent alongside existing subagents to enrich the audit with live data: real SERP positions, backlink profiles with spam scores, on-page analysis (Lighthouse), business listings, and AI visibility checks (ChatGPT scraper, LLM mentions).

Read references/schema-types.md for the full list. Key rules:

Comprehensive website auditing across 251 SEO, technical, performance, security, and AI readiness rules. \n \n Analyzes 20 categories including Core SEO, Performance, Links, Images, Security, JavaScript Rendering, Accessibility, Structured Data, and AI/GEO readiness with pass/warn/fail severity levels \n Returns LLM-optimized XML output (50-70% smaller than JSON) alongside console, JSON, HTML, and markdown formats for flexible reporting \n Supports single-page audits and multi-page crawls up to

Validate existing hreflang implementations or generate correct hreflang tags for multi-language and multi-region sites. Supports HTML, HTTP header, and XML sitemap implementations.

Organized by priority: Critical -> High -> Medium -> Low

Brand mentions correlate 3x more strongly with AI visibility than backlinks. (Ahrefs December 2025 study of 75,000 brands)

Foundational SEO principles covering E-E-A-T, Core Web Vitals, technical foundations, and content quality evaluation. \n \n E-E-A-T is a quality evaluation framework (not a direct ranking factor) that search engines use to assess experience, expertise, authoritativeness, and trustworthiness, especially for sensitive topics \n Core Web Vitals measure user experience (loading speed, interactivity, visual stability) and matter most when content quality is comparable \n Technical SEO ensures crawlab

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