Thrad positions itself as the DSP for LLMs, a demand-side platform built specifically for advertising inside AI conversations. Instead of bidding on search results or social feeds, advertisers bid to appear as sponsored answers when users ask ChatGPT, AI search tools, or partner AI apps what to buy or which service to choose. The pitch is intent: the moment of an AI query is treated as a high-intent decision point.
The platform covers both sides of the marketplace. Advertisers get native placements inside conversations, with self-serve buying for teams that want direct control and a managed service for those who prefer hands-on support. Publishers and AI app developers can monetize through sponsored placements in their own chat interfaces, backed by documentation and an open-source component. Supporting resources include guides on conversational advertising, an ad library and gallery, and case studies from brands already running campaigns.
Brands, performance marketers, and agencies exploring AI-native channels are the core audience, particularly those wanting early positioning in a channel where competition is still low. AI app developers looking for a revenue stream form the supply side. Teams without prior programmatic experience may find the managed option easier to start with.
A practical approach is to review the case studies and ad gallery first to understand format and tone, then test a small self-serve campaign to measure intent quality before scaling. Because inv
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