Podcast analytics firm Podstock has launched Agent, an AI-powered assistant constructed into its platform to automate analytics, planning, and marketing campaign execution for podcast networks, studios, and promoting groups.
Agent capabilities as an always-on analytics assistant, permitting groups to ask ad-hoc questions on present efficiency and obtain solutions drawn instantly from their Podstock information. On the operational aspect, Agent can onboard new reveals, construct stock calendars, generate multi-show media plans based mostly on advertiser necessities, and establish and guide stock that meets particular marketing campaign standards throughout a number of reveals and time home windows.
“Podcast companies run on a posh set of operational processes, from analyzing present efficiency to planning stock and managing campaigns,” stated Clayton Gentry, co-founder and CTO at Podstock. “Agent is designed particularly for these workflows, giving groups an clever assistant that understands podcast operations and helps execute them sooner and extra effectively.”
Agent runs in a devoted surroundings for every group, maintaining information, compute sources, and operational context separate throughout prospects. Organizations can outline which instruments Agent can entry and which actions it might probably carry out. Podstock additionally gives audit logging throughout all Agent exercise, protecting system entry, software utilization, and workflow execution.
Availability
Agent is obtainable at no further cost to present Podstock prospects and to new prospects who enroll throughout the preview interval.
“The podcast trade is powered by gifted operators, however too lots of them nonetheless spend half their day doing guide work that know-how ought to deal with,” stated Michael Paretzky, CEO of Podstock. “Our purpose with Podstock Agent is easy: give each worker an AI collaborator that understands their workflow.”
Podstock notes that Agent represents the primary in a deliberate sequence of agentic instruments, with additional capabilities to be developed in partnership with podcast companies.
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