Generate llms.txt and AI-friendly metadata for website optimization.
npx skills add https://github.com/AnanyaBanerjee/front-end-expert --skill aeo-ananyabanerjee
Please help me install this Agent Skill. Skill: aeo Source: https://github.com/AnanyaBanerjee/front-end-expert/tree/main/skills/aeo Command: npx skills add https://github.com/AnanyaBanerjee/front-end-expert --skill aeo-ananyabanerjee
Websites and landing pages often fail to be discovered by AI agents or cited accurately. This skill provides a clear, actionable framework to generate llms.txt and AI-friendly metadata so AI models can understand and summarize your product accurately.
Create llms.txt at the project root and apply AI search optimization to the current project.
High-intent search queries and answers about installing and using this skill.
An llms.txt file is placed at a website's root to guide AI agents during discovery. It provides structured, factual context that helps large language models accurately understand, summarize, and cite your web copy.
To optimize landing pages for AI search engines, generate an llms.txt file, apply AI-friendly metadata like Speakable JSON-LD, and structure page copy with clear factual descriptions, headlines, and feature lists.
Yes, Speakable JSON-LD is essential for AI discoverability because it explicitly identifies which page sections should be summarized by voice assistants and AI search engines.
The best way to ensure your web copy gets cited by LLMs is to use clear, factual descriptions and structured metadata. This approach guarantees your content is accurately summarized by AI models.
Yes, you can enforce AI search optimization by default across every project. This automatically covers meta tags, Speakable JSON-LD, and structured page copy to ensure consistent AI discoverability.
Websites fail to be discovered by AI agents when they lack an llms.txt file and AI-friendly metadata. Without clear factual copy and structured data, AI models cannot accurately understand or summarize your content.
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