AskNicely introduced its new AI Review Routing Agent on July 14, 2026, a tool designed to automatically direct satisfied customers to specific review platforms. This agent, part of AskNicely's NiceAI® suite, automates the process of requesting and routing customer reviews to platforms where buyers search for information, according to Markets Businessinsider. AskNicely's commitment to leveraging artificial intelligence for more efficient and strategic customer feedback management is signified by the launch.

Businesses are increasingly seeking to automate and control their online review collection. However, this strategic curation could inadvertently diminish the perceived spontaneity and authenticity of customer feedback.

Companies adopting AskNicely's Review Routing Agent are likely to see an immediate, measurable improvement in their online review metrics and platform balance, setting a new benchmark for proactive reputation management.

How the AI Agent Works

The Review Routing Agent presents a review request within the existing AskNicely survey flow after a customer submits feedback, aiming for higher conversion rates to public reviews, according to Markets Businessinsider. This integration into the customer feedback journey maximizes the likelihood of converting private feedback into public reviews. The agent works inside the AskNicely survey flow, presenting a review request only after customers submit survey feedback, as reported by Destinationcrm.

By integrating into the existing survey flow, the agent primarily targets already satisfied customers. The agent's integration into the existing survey flow effectively optimizes the amplification of positive sentiment rather than collecting a neutral cross-section of experiences. While promising higher conversion rates for public reviews, AskNicely's method of soliciting feedback after a customer has already expressed satisfaction within a private survey risks creating a public online reputation optimized for positivity rather than a truly representative sample of all customer experiences.