ai-seo

Structure content with schema markup and sources for AI system citations.

236|234|Updated Feb 21, 2026
One-click install
npx skills add https://github.com/Karanjot786/TermUI --skill ai-seo-karanjot786
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-seo
Source: https://github.com/Karanjot786/TermUI/tree/main/.claude/skills/ai-seo
Command: npx skills add https://github.com/Karanjot786/TermUI --skill ai-seo-karanjot786

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

AI-driven answers and AI Overviews often fail to cite credible sources or extractable content. This skill helps ensure content is structured for easy extraction, authoritative signaling, and broad AI platform presence to increase citations.

Core Features & Use Cases

  • Structure for extractable content: direct answers, well-defined sections, and scannable blocks.
  • Authority signals: citations, expert quotes, statistics, and schema markup to increase trust and citation likelihood.
  • Presence across AI platforms: robots.txt openness, schema types, and platform-tailored formats to maximize AI Overviews, ChatGPT, Perplexity, Copilot, Claude, and Gemini mentions.
  • Use Case: A SaaS product page can be surfaced in AI answers for feature queries and comparisons.

Quick Start

Run an AI visibility audit across the major platforms and implement the recommended structure, schema, and citations to improve AI citations.

Frequently Asked Questions about ai-seo

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

FAQPage Schema
How do I optimize content to be cited by AI systems like ChatGPT and Google AI Overviews?

To optimize content for AI citations, you must structure information into self-contained passages, include credible sources, and apply schema markup. This ensures AI systems like ChatGPT and Google AI Overviews can easily extract and reference your content.

What is the best way to structure definitive guides for AI search extraction?

The best way to structure definitive guides for AI search extraction is using clear definitions, well-defined sections, and scannable content blocks. This structure allows AI platforms to parse direct answers and self-contained passages efficiently.

Does my robots.txt file affect AI bot crawling and citation visibility?

Yes, your robots.txt rules directly affect AI citation visibility. You must configure accessible robots.txt rules to allow AI bots to crawl your content, ensuring your schema markup and structured data can be discovered and cited.

How does schema markup improve E-E-A-T authority signals for AI search engines?

Schema markup improves E-E-A-T authority signals by explicitly tagging expert quotes, statistics, and citations within your content. This structured data increases trust and citation likelihood across AI search engines like Perplexity and Claude.

Can I use this AI SEO framework for SaaS product pages and feature comparisons?

Yes, you can apply this AI SEO framework to SaaS product pages. By structuring feature queries and comparisons with schema markup and expert quotes, your SaaS content can be surfaced in AI answers across major platforms.

What content types work best for getting cited in Perplexity and Copilot answers?

Content types that work best for AI citations include definitive guides, comparisons, statistics, and expert quotes. These formats provide the direct answers and authoritative signals that Perplexity and Copilot extract for responses.