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Schema markup skills for AI agents
Skills for generating and validating structured data: JSON-LD, rich results, and schema types an agent can produce for any page.
29 skills · ranked by score
Create valid JSON-LD structured data for Article, Product, FAQ, HowTo, Organization, and more. Maximize Google rich results eligibility.
Detect, validate, and generate JSON-LD markup for AI discoverability. Audit sameAs links and entity signals.
Generate valid JSON-LD schema markup for products, articles, FAQs, local business, and more. Test and validate before deployment.
Query GA4 BigQuery export tables: table structures, nested fields, event_params, user_properties, ecommerce, items. Ready-to-use SQL for funnels, cohorts, reven
Analyze and generate llms.txt files — the emerging standard for helping AI systems understand websites. Validate existing files or create new ones from scratch.
Detect, validate, and generate Schema.org structured data with Ahrefs traffic prioritization for high-impact schema opportunities.
Detect, validate, and generate Schema.org structured data for Google rich results. JSON-LD templates and validation rules included.
Build AI-parseable charts with text layers, data tables, and structured data for higher AI citation rates.
Detect, validate, and generate Schema.org JSON-LD structured data for rich results with current Google support status.
Audit technical SEO across crawlability, indexability, security, mobile, Core Web Vitals, JS rendering, and structured data with live GSC and Ahrefs data.
Audit local SEO across NAP consistency, schema markup, GBP signals, citations, reviews, and mobile. No MCP required.
Detect, validate, and generate Schema.org structured data with JSON-LD templates for rich results and Google's current requirements.
Evaluate E-E-A-T signals, readability, AI citation readiness, and content structure to identify quality gaps and optimize for both traditional search and AI eng
Detect, validate, and generate Schema.org structured data. Prioritize by organic traffic using Ahrefs integration.
Implement llms.txt, structured data, and agent discovery files to help AI bots find, understand, and integrate with your product.
Framework for designing normalized schemas, indexing, query optimization, safe migrations, and connection pooling in production databases.
Detect, validate, and generate Schema.org structured data in JSON-LD format. Optimize for Google rich results.
Implement Schema.org structured data for Google rich results, Bing support, and AI search visibility with validated JSON-LD templates.
Learn to generate validated JSON-LD schema markup for blogs using BlogPosting, Person, Organization, and FAQPage types.
Complete JSON-LD schema generator for blog posts. Creates BlogPosting, Person, Organization, BreadcrumbList, FAQPage, and more with validation.
Build and validate JSON-LD schema markup to enable Google rich results, FAQs, reviews, and breadcrumbs.
Run a comprehensive SEO audit with parallel subagent delegation, crawl 500+ pages, detect business type, and generate prioritized recommendations.
Comprehensive page-level SEO analysis covering on-page elements, content quality, technical metadata, schema markup, and image optimization.
Optimize local business visibility in Google AI Overviews, ChatGPT, Gemini, and other LLM-powered search platforms.
Implement and validate LocalBusiness JSON-LD schema that matches GBP data and improves local search visibility.
Generate and validate schema.org JSON-LD markup to unlock Google rich results, breadcrumbs, and structured data features for SEO.
Implement, debug, and validate schema markup and structured data to enable rich search results.
Design and implement JSON-LD schema markup for rich results. Covers page assessment, validation, and deployment across static sites, React, and WordPress.
Comprehensive SEO audit skill for technical analysis, on-page review, structured data validation, content quality, and crawlability checks.