seo▌

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:

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)

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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

Comprehensive SEO guidance for content strategy, technical implementation, keyword research, and ranking improvements. \n \n Covers keyword research, on-page optimization (title tags, meta descriptions, headers, URLs, images), content quality, and E-E-A-T principles \n Includes technical SEO essentials: schema markup, robots.txt, XML sitemaps, canonical tags, and Core Web Vitals optimization (LCP, FID, CLS) \n Provides topic cluster strategy, featured snippet optimization, and local SEO for loca

Full-site and single-page SEO analysis with technical audits, content quality assessment, schema validation, and AI search optimization. \n \n Orchestrates 12 specialized sub-skills across technical SEO, E-E-A-T content evaluation, Core Web Vitals (INP), schema markup detection and generation, and image optimization \n Detects business type (SaaS, local service, e-commerce, publisher, agency) and applies industry-specific quality gates and scoring methodology \n Analyzes AI search readiness incl