Frequently Asked Questions
Everything you need to know about integrating with Clad AI
Platform Integration
How easy is it to integrate Clad AI's SDK?
Our SDK is designed for seamless integration on both web and mobile platforms. With just a few lines of code, you can integrate native ads into your LLM-powered applications. We provide comprehensive documentation, ready-to-use components, and dedicated support to ensure a smooth integration process.
What platforms does the SDK support?
Our SDK supports all major platforms including Web (React, Vue, Angular), iOS (Swift, Objective-C), and Android (Kotlin, Java). We also provide server-side integration options for platforms using Node.js, Python, and other popular frameworks.
LLM Integration
How does Clad AI preserve the conversational experience?
Our AI-powered system analyzes conversation context and seamlessly injects relevant ads without breaking the flow. The ads appear as natural suggestions within the conversation, maintaining the organic feel of LLM interactions while creating monetization opportunities.
What types of LLM platforms can integrate with Clad AI?
Clad AI works with any LLM-based platform, including chatbots, AI assistants, search engines, and content generation tools. Our flexible architecture adapts to your specific use case, whether you're using GPT, Claude, or custom models.
DSP Integration
How do DSPs connect with Clad AI?
We support standard OpenRTB 2.6 integration, making it easy for DSPs to plug into our platform. This industry-standard protocol ensures compatibility with existing ad tech infrastructure while enabling access to our unique LLM-native ad inventory.
What targeting capabilities are available for DSPs?
DSPs can leverage our advanced contextual targeting based on real-time conversation analysis, user intent signals, and semantic understanding. This enables precise ad targeting without relying on personal data or cookies.
Monetization
How does Clad AI's revenue model work?
We operate on a revenue-sharing model where LLM platforms earn a significant portion of the ad revenue. Our real-time bidding system ensures optimal pricing for each ad placement, maximizing revenue for both platforms and advertisers.
What are the typical revenue expectations for LLM platforms?
Revenue varies based on factors like user engagement, conversation volume, and ad relevance. Our platform typically delivers higher CPMs than traditional display advertising due to the highly contextual nature of our ad placements and strong user intent signals.
How does payment and reporting work?
We provide transparent, real-time reporting through our dashboard. Payments are processed monthly, with detailed breakdowns of revenue by advertiser, campaign, and placement type. We support multiple payment methods and currencies.
Supply Side Platform Features
How does Clad AI optimize ad inventory?
Our platform uses machine learning to optimize ad placement timing, format, and content. We automatically balance factors like user experience, advertiser ROI, and platform revenue to ensure optimal outcomes for all parties.
What types of demand sources does Clad AI connect to?
We connect to major DSPs, agency trading desks, and direct advertisers. Our platform aggregates demand from multiple sources to ensure high fill rates and competitive CPMs for your ad inventory.
How does yield optimization work?
Our yield optimization engine uses real-time bidding data, historical performance, and AI predictions to maximize revenue. We automatically adjust floor prices, optimize demand path selection, and balance direct and programmatic demand.
Privacy & Compliance
How does Clad AI handle data privacy regulations?
We're built with privacy-by-design principles and comply with major regulations like GDPR and CCPA. Our contextual targeting approach means we don't need to collect or store personal user data.
What about brand safety and ad quality?
We maintain strict brand safety controls and ad quality standards. Our AI systems screen all ads for appropriateness, and we provide platforms with granular controls over ad categories and advertisers.
How do you ensure ad relevance without personal data?
We use advanced natural language processing to understand conversation context and user intent in real-time. This allows us to deliver highly relevant ads without tracking users or storing personal information.