SpotsNow Launches AI Operating System for Podcast Advertising

SpotsNow today launched its AI operating system for podcast advertising, the layer that plans and books campaigns for advertisers, and clears the bottlenecks for the networks that sell them. The product is the culmination of nearly a year of building, and it makes SpotsNow the first platform to operate both sides of a podcast ad deal on one intelligence layer.

Podcast advertising still runs on spreadsheets, email threads, and manual labor, on both sides of the table. Advertisers plan and price campaigns by hand. Networks chase those campaigns across disconnected tools. Every other major ad channel automated this work years ago. Podcast advertising did not, and closing that gap is what SpotsNow was built to do.

The newest and most powerful pieces to run on that layer launch today: custom AI agents that take on the repetitive work holding network sales teams back, building media plans and RFP responses, vetting shows, and drafting outbound. Each agent is built for the individual network, trained on its workflows, and designed to connect to the way its team already works, so a small sales team can operate at several times its current capacity without adding headcount.

The Network Sales Bottlenecks

Selling podcast advertising is operationally punishing in ways advertisers never see. A single advertiser request can pull data from three or four disconnected systems, none of which talk to each other. The work that surrounds every deal, qualifying which brands to approach, finding the right buyer, drafting a tailored pitch, assembling a plan, vetting each show, and responding to RFPs, is almost entirely manual.

The numbers networks describe are stark. Sales teams report spending roughly half an hour on each individual piece of outbound, identifying the brand, finding the right person, and writing a custom angle, which caps a small team. Vetting a single large plan can mean hundreds of approval emails logged by hand across a roster of shows. Inventory, the asset that funds the entire business, is often tracked across spreadsheets and email threads rather than a single system of record.

The common thread is that networks do not have engineering and design teams to fix any of this. Every other function has tooling. The revenue engine itself runs on manual labor, and that labor is the ceiling on how much a network can sell.

How the AI Operating System Works

SpotsNow operates as the engineering team a network does not have. The model runs in three steps:

1. Build custom agents around the real bottleneck. SpotsNow starts where a network actually loses time, whether that is outbound, RFP turnaround, vetting, or inventory, and builds modular agents to take that work on: drafting outreach with a real angle, turning any agency brief into a finished plan, running show approvals, and tracking what is open and what it is worth. Each agent is trained on how the team already works and the tone it uses, so the output sounds like the network, not generic AI.
2. Connect to the way the team already works. SpotsNow builds around the workflows a network already has rather than forcing a new platform on its team. There is no rip and replace and nothing new for sellers to learn. The work meets them where they already work.
3. Keep a person in control. The agents carry the repetitive load and get the work most of the way there. Sellers make the final call and the final edit before anything goes out. The platform is built to amplify a sales team, not to flood inboxes with automated spam.

The Lesson Behind the Product

The thinking behind SpotsNow’s operating system comes from a pattern Cam Pritchard, Founder and CEO of SpotsNow, saw firsthand earlier in his career at Thumbtack, one of the largest home services marketplaces in the United States.

“Everything we have put out so far, the marketplace and the campaign planner, was building toward this. At Thumbtack, I watched small service businesses go up against national brands and win, but only when the platform did the heavy lifting for them. These were people without software teams. They needed the tools to handle the busywork so they could spend their hours selling and serving customers. Podcast networks are in exactly that position today. They run on spreadsheets and email threads, they have no engineers to build their way out of it, the manual work is the single biggest limit on how much they can grow and the margins get hit. We built SpotsNow to be that custom team for the industry. The agents we custom build take the repetitive load off the floor so sellers can do the part only people can do, which is build the relationship and close the deal.” - Cam Pritchard, Founder and CEO, SpotsNow

The Value Exchange Is Simple

A network gets a fully ramped product team, designers and engineers with backgrounds from leading Silicon Valley companies, who come in and build custom tools around its specific bottlenecks. Those tools are built to unlock up to 30% more revenue and to strip the operational drag off the sales floor, so the team can compete harder for the best advertisers and grow its margins.

Everything is built to be fast, reliable, and, most important, to connect to the workflows the team already uses. There is no rip and replace and no new platform to learn. Because the underlying agents are modular, each network gets a system that keeps improving over time, while its own data, rates, and relationships stay its own.

Availability

SpotsNow is onboarding podcast networks now. Networks and sellers can book a demo at https://spotsnow.io to scope where an operating system would remove the most friction and add the most capacity.