High Priority
Deploy /extension.txt Protocol
Establish a machine-readable summary of your Chrome Extension's capabilities, API endpoints, and key features specifically for AI agents and discovery engines.
Create a text file at /extension.txt with a brief intro of your Chrome Extension's core value proposition.
Include markdown-style links to your primary documentation pages, feature showcases, and user guides.
Add a 'Functionality Summary' section in the file to answer common AI agent queries about your extension's scope directly.
Configure your Chrome extension businesses crawler protocols effortlessly.
Join 2,000+ teams scaling with AI.
High Priority
LLM-Specific Crawler Indexing Control
Fine-tune which sections of your Chrome Extension's documentation and landing pages should be ingested by AI crawlers and LLM data aggregators.
Implement directive rules in your robots.txt (e.g., User-agent: GPTBot\nAllow: /features/\nAllow: /api-docs/\nDisallow: /internal-testing/
Verify your crawler permissions and access patterns using tools like Google's Rich Results Test or specialized AI bot simulators.
Monitor crawl frequency and data retrieval in your server logs to ensure AI bots are accessing the most relevant extension information.
Medium Priority
Structured Data for Extension Features
Utilize schema.org markup and semantic HTML to help LLM scrapers accurately understand the hierarchy and functionality of your Chrome Extension's features and user interface elements.
Wrap your main extension description and feature lists in semantic HTML5 tags like <article> and <section> with descriptive ARIA labels.
Implement JSON-LD schema markup for 'SoftwareApplication' to detail your extension's name, version, operating system, and relevant features.
Ensure all data tables detailing API parameters or usage statistics use proper <thead> and <tbody> tags for structured data extraction by AI.
High Priority
RAG-Ready Documentation Snippets
Structure your Chrome Extension's documentation and FAQs so they can be easily 'chunked' and retrieved by Retrieval-Augmented Generation (RAG) pipelines for AI-powered support or feature suggestions.
Keep related concepts and API usage examples within discrete content blocks, ideally under 750 words.
Avoid ambiguous references; explicitly state the feature name or API endpoint being discussed in summaries and introductions to each section.
Eliminate vague pronouns (e.g., 'it,' 'this') and replace them with the specific Chrome Extension feature, API method, or user action they refer to.
