As AI agents proliferate, discovering trustworthy ones may depend on reputation networks rather than traditional search engine optimization.

Current SEO-based discovery methods are insufficient for finding reliable AI agents in an increasingly crowded marketplace

A 'web of trust' model could emerge as the next distribution layer, where reputation and verification networks help users identify quality agents

This shift reflects a broader move away from algorithmic ranking toward trust-based recommendation systems for AI tools

The challenge of agent discoverability highlights the need for new infrastructure beyond traditional search to filter and recommend AI solutions