Drive Developer Adoption Through AI Code Examples
Make your developer tools and APIs discoverable when developers ask AI for code examples, libraries, and implementation guidance.
The Problem
Developers increasingly rely on AI for coding assistance and library selection. If your documentation and examples aren't AI-accessible, developers choose competing tools that AI recommends.
The Solution
Structure documentation, code examples, and API references for optimal AI comprehension. When developers ask AI for solutions in your category, your tools appear with working code examples.
Key Benefits
Implementation Steps
Success Metrics
Related Resources
Relevant Integrations
GitHub
Teoraspace helps open source projects and developer tool companies optimize GitHub repos, README files, and documentation for AI coding assistant discovery and recommendations.
Vercel
Teoraspace helps teams deploying on Vercel ensure their Next.js, React, and other sites are optimized for AI crawlers from day one. Fast deployment meets AI visibility best practices.
Notion
Teoraspace helps companies turn their Notion workspaces into AI-discoverable knowledge bases. Structure team docs, wikis, and content for AI comprehension and citation.
Slack
Teoraspace helps teams set up monitoring and alerts for AI visibility metrics in Slack. Get notified when AI systems cite your content, track trends, and stay informed without context switching.
Industries Using This
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