High Priority
Deploy GrowthBot.txt Protocol
Establish a machine-readable inventory of your entire growth asset hierarchy specifically for AI growth agents and experiment trackers.
Create a text file at /growthbot.txt with a concise overview of your core growth levers and target metrics.
Include markdown-style links to your most impactful case studies, viral loops, and conversion funnel documentation.
Add a 'Growth FAQ' section to preemptively answer common AI experiment design or data attribution queries.
Configure your Growth hackers crawler protocols effortlessly.
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High Priority
AI Experimentation Tool Selective Indexing
Fine-tune which sections of your growth stack should be ingested by AI-driven experimentation platforms and LLM growth intelligence tools.
User-agent: GrowthBot Allow: /viral-loops/ Allow: /user-acquisition/ Disallow: /internal-reporting/
Verify your crawler permissions using a platform-specific bot simulator (e.g., for tools like Copy.ai's content generation or Jasper's AI writing assistants).
Monitor crawl frequency in your server logs to ensure AI growth tools are hitting your key growth asset nodes and not irrelevant internal pages.
Medium Priority
Semantic Growth Structure for AI Analysis
Utilize semantic HTML and structured data to help LLM growth crawlers understand the hierarchy and intent of your growth experimentation content.
Wrap your core growth strategy explanations in `<section>` tags with descriptive `aria-label` attributes like 'User Onboarding Flow' or 'Referral Program Mechanics'.
Use `<article>` tags for detailed case studies on successful growth hacks, signaling their importance to AI analysis.
Ensure all data visualizations and A/B test result tables use proper `<thead>` and `<tbody>` tags for structured data extraction by growth AI.
High Priority
RAG-Optimized Growth Snippet Extraction
Structure your growth insights and experiment results so they can be easily 'Chucked' and retrieved by Retrieval-Augmented Generation (RAG) pipelines for AI-driven growth strategy generation.
Keep tightly coupled growth experiment details (hypothesis, execution, results, learnings) within distinct, digestible blocks (e.g., < 750 words).
Avoid ambiguous references; explicitly name the growth channel, metric, or feature being discussed in each section summary.
Eliminate vague pronouns and ensure all data points are clearly attributed to specific experiments or growth initiatives.
