If you're looking for a platform that uses AI-powered image recognition to place contextual ads in editorial photos, BLIINK is a strong contender. BLIINK uses deep learning to identify image elements and lets brands place ads accordingly with technology like object detection and celebrity recognition. With a variety of in-image ad formats and real-time analytics, BLIINK offers a frictionless and engaging user experience while generating revenue.
Another strong contender is LensAI. The platform uses video and image analysis to place ads directly into detected objects within visual content, ensuring that the ads are relevant and non-intrusive. LensAI's contextual targeting is based on the analysis of visual, text, and audio content, and respects user privacy by targeting content rather than user-level identifiers.
Seedtag also offers a powerful contextual advertising solution, using machine learning to deliver targeted campaigns by understanding trends and topics of interest through their advanced AI technology, Liz. With features like dynamic placement optimization and personalized segments, Seedtag helps brands reach their audience with precision, improving user engagement and brand lift.
For a full suite of AI-powered advertising tools, check out afp.ai. The platform offers a range of new ad formats, AI targeting, and contextual DMP for cookieless targeting. It also includes features like computer vision brand safety verification and detailed insights with attention-AI metrics, making it a good option for publishers and ad networks looking to increase direct sales revenue.