Magellan AI

Advertisers and agencies

Magellan AI is the closest thing to a Bloomberg terminal for podcast advertising — competitive intelligence, pixel attribution, and pod-to-pod reach data that brands actually use to plan seven-figure buys. Indies and small shows aren't the customer. If you're not running campaigns in the five figures, the demo will end politely.

Magellan AI is podcast advertising intelligence aimed squarely at brands, agencies, and the media buying side of the industry. The platform maintains what it claims is the world's largest database of podcast ad activity — covering 35,000+ brands and 50,000+ shows across the US, Canada, Australia, UK, Ireland, and Germany. Where competitors like Podsights focus on pixel attribution alone, Magellan combines competitive ad tracking (which brand is running on which show, with which creative), pixel-based conversion attribution, podcast-to-podcast listener attribution, and now broadcast radio attribution with Nielsen DMA integration. For an agency planning a national podcast buy, that's a one-stop shop: see what your competitors are spending, model reach with overlap analysis, run the campaign, and measure conversions through one stack. Where it shines is media planning sophistication and the breadth of the dataset — Magellan is on most agency RFPs and is the reference point for industry-wide brand spend analyses. Where it falls short is approachability and price: there's no public pricing page, the UX is built for analysts not creators, and the underlying value really only matters when you're moving real money. Hosts and small shows should look at OP3, Podscribe, or Podsights instead. For the buy side, this is core infrastructure.