AIO extends AEO by optimising how AI agents themselves interact with and present your content, ensuring they cite your site in responses and workflows.
Key Citations
Core Stats
"The next optimisation frontier is not search engines, but agents."
- Industry Analyst
The Future of AIO
What is AIO?
Agent Interaction Optimisation (AIO) is the next evolution of AEO. It focuses on optimizing content so that AI agents—like chatbots, co-pilots, and automated workflows—can easily find, interpret, and cite your information.
Why AIO Matters Beyond AEO/GEO
While AEO and GEO target search-like interactions, AIO prepares your content for a world where AI agents act on behalf of users. This includes everything from summarizing research for a report to booking a flight. If your content isn't agent-ready, you'll be invisible to this new channel.
Use Cases for AIO
- Chatbots: Powering customer service bots with accurate, citable information from your domain.
- Co-pilots: Ensuring your data and APIs are surfaced in tools like Microsoft Co-pilot or GitHub Co-pilot.
- Workflows: Allowing automated agents to use your content as a step in a larger task.
Challenges & Ethics
AIO raises important questions about data privacy, attribution, and the potential for misinformation at scale. A responsible AIO strategy must prioritize transparency and user trust.
Frequently Asked Questions
What’s the difference between AEO and AIO?
AEO optimises for engines; AIO optimises for agents that consume and reuse your content.
Is AIO relevant now?
Yes. With rapid agent adoption, preparing content for agent citation is critical.
What content formats matter for AIO?
Structured data (JSON-LD, APIs) and Answer Cards agents can easily parse.