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geoBuilder A2A
Webflow CMS automation with A2A Protocol support — built for AI consulting firms to make their content discoverable by AI agents.
github A2A Automation Webflow Python
Private repository
geoBuilder A2A
A production tool built for Blue Ridge Systems — automating the setup of Webflow CMS collections while adding A2A (Agent-to-Agent) Protocol support for AI agent discovery.
The Problem
AI consulting firms need their content to be discoverable by AI agents, not just search engines. Traditional CMS setups aren’t built for this. geoBuilder bridges that gap.
What It Does
- Automates Webflow CMS setup — creates collections, fields, and content structure programmatically via the Webflow API
- Implements the A2A Protocol — adds a Cloudflare Worker API layer so AI agents can discover and query the site’s content via JSON-RPC 2.0
- Optimizes for GEO — Generative Engine Optimization, making content accessible to LLMs and AI agents, not just Google
Architecture
Webflow CMS → Cloudflare Worker API → A2A Protocol Endpoint
↓
AI agents discover and query
content, services, and expertise
Tech Stack
- Python — Webflow API automation scripts
- Cloudflare Workers — A2A protocol endpoint (edge-deployed)
- Webflow API — CMS structure automation
- A2A Protocol — JSON-RPC 2.0 agent discovery standard
Why A2A?
As AI agents become the primary way people discover information, making your content agent-readable is the new SEO. This project is a practical implementation of that idea for consulting firms.
Private repository. Built for Blue Ridge Systems.