Alongside our MCP, skill, public API, .md files for all pages, llms.txt and https://fless.io/ai-agents info page we also wired up detailed analytics at every stage and for every request isolated by channel, both human and AI agent.
We track all agent calls at a pretty granular level to understand the agent funnel, by channel and provider (ex. Perplexity User, OpenAI User etc..).
We can't see what the agent did after calling us but we can see a funnel clearly which is useful to see where engagement and drop-off are.
Our first goal is for users to start a new apartment search - moving from 'landing page' - one of the surfaces mentioned above - to search created (ie. we're hunting for apartments on their behalf).
This has been helpful to understand agent behavior and where we need to improve skill / MCP etc..
Alongside our MCP, skill, public API, .md files for all pages, llms.txt and https://fless.io/ai-agents info page we also wired up detailed analytics at every stage and for every request isolated by channel, both human and AI agent.
We track all agent calls at a pretty granular level to understand the agent funnel, by channel and provider (ex. Perplexity User, OpenAI User etc..).
We can't see what the agent did after calling us but we can see a funnel clearly which is useful to see where engagement and drop-off are.
Our first goal is for users to start a new apartment search - moving from 'landing page' - one of the surfaces mentioned above - to search created (ie. we're hunting for apartments on their behalf).
This has been helpful to understand agent behavior and where we need to improve skill / MCP etc..