Podcast analytics company Podstock has launched Agent, an AI-powered assistant built into its platform to automate analytics, planning, and campaign execution for podcast networks, studios, and advertising teams.

Agent functions as an always-on analytics assistant, allowing teams to ask ad-hoc questions about show performance and receive answers drawn directly from their Podstock data. On the operational side, Agent can onboard new shows, build inventory calendars, generate multi-show media plans based on advertiser requirements, and identify and book inventory that meets specific campaign criteria across multiple shows and time windows.

“Podcast businesses run on a complex set of operational processes, from analyzing show performance to planning inventory and managing campaigns,” said Clayton Gentry, co-founder and CTO at Podstock. “Agent is designed specifically for those workflows, giving teams an intelligent assistant that understands podcast operations and helps execute them faster and more efficiently.”

Agent runs in a dedicated environment for each organization, keeping data, compute resources, and operational context separate across customers. Organizations can define which tools Agent can access and which actions it can perform. Podstock also provides audit logging across all Agent activity, covering system access, tool usage, and workflow execution.

Availability

Agent is available at no additional charge to existing Podstock customers and to new customers who sign up during the preview period.

“The podcast industry is powered by talented operators, but too many of them still spend half their day doing manual work that technology should handle,” said Michael Paretzky, CEO of Podstock. “Our goal with Podstock Agent is simple: give every employee an AI collaborator that understands their workflow.”

Podstock notes that Agent represents the first in a planned series of agentic tools, with further capabilities to be developed in partnership with podcast businesses.