Results for “schema-markup”

Implement, audit, and validate JSON-LD structured data to earn rich results in Google and improve AI search visibility.

Analyzes a single web page for on-page SEO, content quality, technical meta tags, schema, images, and performance, providing a score card and prioritized recommendations.

Analyzes a single webpage's on-page SEO, content quality, technical meta tags, schema, images, and performance, producing a scorecard and prioritized recommendations.

Analyzes a single webpage's SEO across on-page elements, content quality, technical meta tags, schema, images, and performance, producing a scored report with prioritized issues and recommendations.

Analyzes a single web page for on-page SEO, content quality, technical meta tags, schema, images, and performance, producing a score card and prioritized recommendations.

Audit a site for SEO issues and get a prioritized fix list.

Orchestrates a comprehensive SEO audit across technical, on-page, content, schema, sitemaps, AI search readiness, and GEO dimensions, producing a prioritized action plan with a health score.

Detects, validates, and generates Schema.org structured data, preferring JSON-LD, with guidance on supported types and common errors.

Detect, validate, and generate Schema.org structured data in JSON-LD format for SEO and rich results.

Audits websites for technical, on-page, and content SEO issues, providing prioritized recommendations to improve organic search performance.

Runs comprehensive SEO audits and analysis for websites, covering technical SEO, content quality, schema markup, Core Web Vitals, local SEO, and AI search optimization using browser automation tools.

Analyzes local SEO signals including Google Business Profile optimization, NAP consistency, citation health, review signals, local schema markup, and location page quality, with business type and industry vertical detection.

Optimize content to get cited by AI search engines and rank in LLM-generated answers.

Generate SEO-optimized pages at scale using templates and data to capture long-tail search traffic.

Run a comprehensive SEO audit across technical SEO, on-page SEO, schema, sitemaps, content quality, AI search readiness, and GEO. Orchestrates 12 specialized sub-skills and 7 subagents for full-site analysis.

Optimizes content for AI-powered search engines like Perplexity, ChatGPT Search, and Google AI Overviews by restructuring pages, implementing schema, and building topical authority clusters to increase citations in zero-click answers.

Performs deterministic, LLM-first SEO audits for websites, blog posts, and GitHub repositories, producing prioritized, confidence-labeled fixes.

Optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources, distinct from traditional SEO.

Optimize content for AI search and LLM citations across AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and similar systems. Use when improving AI visibility, answer engine optimization, or citation readiness.