Your Public AI Agent is visible and usable by other AI agents directly over the internet.
What it is
A2A is Google’s new protocol that enables AI assistants find and talk to each other online so they can understand your business and get things done together on your behalf.
Agent-to-Agent (A2A) is a simple idea with big impact: machines discover each other, exchange what they can do, and get work done without human glue code. Your Agent Card is a compact, machine-readable profile: identity, skills/capabilities, inputs/outputs, how to connect, and how to authenticate.
The Web Is Turning Agentic, and A2A Is the Signal
The old web was people clicking pages. The new web is agents talking to agents: software that discovers a business, understands what it offers, and coordinates actions directly—no brittle scraping, no “bot driving a browser.” Google’s Agent-to-Agent (A2A) effort formalizes this shift with an open way for agents to find and work with each other. The cornerstone is a small, public “Agent Card” at /.well-known/agent.json that tells other agents who you are, what you can do, and how to call you. Early adopters gain discoverability and lower-friction handoffs as agent traffic grows.
Real Advantages Being “A2A-Ready” Gets You
When your domain publishes a clean Agent Card and your public agent behaves exactly as it promises, other agents can select you quickly and complete work with fewer retries. That means faster handoffs, higher completion rates, and fewer human interventions—because callers aren’t reverse-engineering your website; they’re using a documented interface designed for them. As the ecosystem standardizes around A2A primitives and tools, the gap widens between businesses that are “agent-ready” and those still hoping an LLM can parse their marketing pages.
Why This Beats Scraping and “AI that operates websites”
Scraping and LLMs that “read” your pages are guesswork: models must infer intent from layouts, shifting copy, and ever-changing HTML. Even advanced “website-operating” agents, those that click, type, and navigate, still show low reliability and need human cleanup. Recent evaluations on real, production-like sites report ~41% task success at best for autonomous web agents, underscoring why hand-holding is common and why teams keep humans in the loop. A2A replaces that fragility with explicit, machine-readable contracts: clear capabilities, inputs/outputs, and stable endpoints that other agents can trust.
Make Your Domain Preferable, Not Just Discoverable
We implement your /.well-known/agent.json, align your public-facing agent to that contract, and tune behavior for clarity, consistency, and graceful fallbacks—signals that selection engines and partner agents favor. Instead of brittle scraping pipelines, you get direct, auditable interactions that reduce toil and compound trust over time. (Yes, you still keep your website; this simply gives machines a first-class way to work with you.)
Bottom Line
Agentic interactions are replacing page parsing. A2A is the clearest public signal of that future, and publishing a precise Agent Card that points to an AI agent is the simplest way to step into it today with higher reliability than scraping and far less human intervention than browser-driven bots.