Agent2Agent Protocol (A2A)
Definition
The Agent2Agent protocol, commonly shortened to A2A, is an open standard that lets independent AI agents, potentially built by different companies on different platforms, discover each other, exchange information, and coordinate on a task. Google introduced A2A in April 2025 and donated it to the Linux Foundation in June 2025, and it now counts more than 150 supporting organizations, including AWS, Microsoft Azure, Salesforce, and Cisco.
A2A solves a different problem than the Model Context Protocol (MCP): MCP connects a single agent to tools, data sources, and APIs it needs to complete a task, the same standard behind BotRank's own MCP & API integration, while A2A connects one agent to another agent, letting each one keep its own internal logic and data private while still exchanging what it needs to collaborate. In practice, a system might use MCP to give an agent access to a database and A2A to let that agent hand off part of a task to a specialist agent elsewhere.
This matters for enterprise workflows built on multiple, specialized agents rather than a single general-purpose model: an A2A-based system can route a task to whichever agent is best suited to it, whether that agent belongs to the same company or to a vendor's product, without requiring every agent to share the same internal architecture or vendor.
For GEO specifically, A2A is still an emerging, infrastructure-level standard rather than something that directly affects citation or visibility today, but it is worth tracking alongside Computer Use and Agentic Browsing as part of the broader shift toward AI systems that act and coordinate on a user's behalf rather than simply answering a single query.
Frequently Asked Questions
Who created the Agent2Agent protocol and who maintains it now?
Google created and introduced A2A in April 2025, then donated it to the Linux Foundation in June 2025 to make it a vendor-neutral, open standard. It now has support from more than 150 organizations, including major cloud providers and enterprise software vendors.
What is the difference between A2A and MCP?
The Model Context Protocol connects a single AI agent to the tools, data, and APIs it needs to complete a task. A2A connects one AI agent to another agent, letting independent agents discover each other and collaborate on a task while each keeps its own internal logic private. The two are complementary rather than competing standards.
Does the Agent2Agent protocol affect how visible my brand is in AI answers today?
Not directly, at least not yet. A2A is an infrastructure-level standard for how agents communicate with each other, not a mechanism that influences citation or ranking in AI search results. It is worth monitoring as agent-to-agent workflows become more common, since they may eventually change how tasks involving your content get routed and completed.
Why would a company use multiple specialized agents instead of one general-purpose model?
A specialized agent can be tuned, trained, or restricted for a specific task, which often makes it more reliable and easier to govern than asking one general-purpose model to handle everything. A2A gives these specialized agents a common way to discover each other and hand off parts of a task, without requiring them to run on the same platform or share the same vendor.
