Matthew Walker

As search becomes a core part of AI workflows, things like data coverage, QPS, and cost start to matter, especially when your agent needs to search repeatedly across different sources.

That's why we've launched AnySearch Pro , built for developers and teams running AI agents and search-heavy applications.

we've been testing websites for agent readiness while building Dedica, and one thing we're noticing is how many sites still struggle with basic agent interactions.

curious if anyone here is actually tracking AI agent traffic yet?

We started with a 14 day free trial, assuming urgency would push users to explore the tool deeply. Instead, most users signed up, got busy with work, and returned on day 13 asking for an extension because they never had time to test it properly.

Switching to a limited freemium model gave them breathing room but conversion to paid slowed significantly.

For founders who have tested both models: which one worked better for your product archetype, and how did you balance urgency with user activation?