Advertising infrastructure for AI. Publishers to monetise with ads. Advertisers buy ads in AI.
Run paid ads inside AI conversations
Reach high-intent users at the exact moment they express needs, questions, or purchase intent.
Thrad enables contextual advertising across LLM apps, turning user prompts into powerful performance marketing opportunities.
Contextual
Natural touchpoints
Hyper-targeted
Seamless integration

Latency

Features
Future-proof your performance marketing in the AI era
Advertising is shifting from search queries and social feeds to real-time conversations.
Thrad enables brands to run paid ads in LLMs and capture demand the moment it emerges inside user prompts.
Higher-intent clicks → higher conversion

Lower CPC through contextual relevance
Deploy campaigns across millions of AI conversations

LLM Advertising infrastructure
Infrastructure built for
real time conversational advertising
Thrad connects advertisers and AI publishers through a high performance advertising engine designed to monitor prompts, evaluate intent, and deploy the most relevant ads in milliseconds.
Advertisers
Launch campaigns across a growing inventory of AI apps and reach users during high-intent conversational moments.
Set targeting, budgets, and performance goals while Thrad optimizes delivery automatically.
Thrad Engine
Real-time prompt analysis, ad ranking, and contextual deployment.

Publishers
Monetize your LLM or chatbot by integrating Thrad’s advertising layer.
Gain access to global advertiser demand and unlock revenue from millions of daily conversations.
1
Runs real-time bidding between contextual ads
2
Analyzes millions of prompts and conversational signals
3
Scores and ranks ads based on intent relevance
4
Deploys winning ads natively inside AI responses
Unlock conversational intent data from AI interactions
AI conversations reveal what users truly want in their own words.
Thrad transforms prompt level signals into actionable audience insights, helping brands optimize campaigns and understand emerging demand in real time.




