We Built AgenticSearch -- Not Ranked by Links. Ranked by Trust.

📰 Dev.to AI

AgenticSearch is introduced as a solution to verify the trustworthiness of online sources for AI agents

advanced Published 4 Apr 2026

Action Steps

Measure the problem of unverified sources in AI agent interactions
Develop a ranking system based on trust rather than links
Implement a verification mechanism for AI agents to confirm the legitimacy of online sources
Integrate AgenticSearch into AI agent architectures to ensure secure and trustworthy interactions

Who Needs to Know This

AI engineers and researchers benefit from this as it addresses the issue of trust and verification in AI agent interactions, and product managers can leverage this to improve the reliability of their AI-powered products

Key Insight

💡 Current AI agents lack a mechanism to verify the trustworthiness of online sources, making them vulnerable to tampered data and unlegitimate tools