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web-content

Structure web content with schema markup for search and AI citation.

Updated Jun 19, 2026
Search Tags:#content optimization#seo#geo#schema markup#search visibility#ai discovery
One-click install
npx skills add https://github.com/lciacci/tessera --skill web-content-lciacci
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: web-content
Source: https://github.com/lciacci/tessera/tree/main/skills/web-content
Command: npx skills add https://github.com/lciacci/tessera --skill web-content-lciacci

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps create web content that is discoverable in both traditional search engines and AI-generated answers, addressing poor rankings, low citation visibility, and unclear content structure.

Core Features & Use Cases

  • SEO and GEO Content Structure: Organize homepages, product pages, blog posts, FAQs, and landing pages for human readability and machine extraction.
  • Schema and Discoverability Guidance: Apply structured data, direct-answer formats, comparison tables, TL;DR sections, visible dates, and E-E-A-T principles.
  • Platform Optimization: Tailor content for ChatGPT, Perplexity, Claude, and Gemini while maintaining factual accuracy and authoritative sourcing.
  • Use Case: Use this Skill to turn a product page into a search-optimized, AI-quotable page with clear metadata, FAQ content, comparison information, and appropriate schema markup.

Quick Start

Use the web-content skill to optimize the attached product page for SEO and AI discovery while adding a concise FAQ and recommended schema markup.

Frequently Asked Questions about web-content

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I optimize web content for AI citations and search visibility?▼

To optimize web content for AI citations, use clear factual writing, semantic headings, structured data, visible authorship, and authoritative citations to make pages easily extractable by generative AI systems.

What is Generative Engine Optimization (GEO) and how does it apply to blog posts?▼

Generative Engine Optimization (GEO) structures blog posts and landing pages for machine extraction using direct-answer formats, comparison tables, TL;DR sections, and schema markup to earn citations from AI systems.

Does ChatGPT or Perplexity require specific schema markup to quote my product page?▼

Yes, tailoring content for ChatGPT, Perplexity, Claude, and Gemini requires applying structured data, clear metadata, and comparison information so generative AI systems can accurately extract and quote product page details.

How do I structure FAQ pages for generative AI discovery and traditional SEO?▼

Structure FAQ pages for AI discovery and SEO by applying semantic headings, direct-answer formats, visible dates, E-E-A-T principles, and structured data to ensure factual accuracy and authoritative sourcing.

What's the best way to add semantic headings and E-E-A-T principles to my landing pages?▼

The best way to apply semantic headings and E-E-A-T principles to landing pages is organizing content for human readability while ensuring visible authorship, authoritative citations, and factual accuracy for machine extraction.

How do I measure AI referral traffic to my optimized web content?▼

You can measure AI referral traffic by implementing workflows that track referrals from generative AI platforms, ensuring your optimized web content with clear factual writing and structured data is properly attributed.

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