Question: I'm looking for a solution that helps brands increase engagement by placing ads natively within visual content.

If you're looking for a way to boost engagement by building ads directly into visual content, LensAI is a top contender. This AI-based platform places in-image and in-video ads directly into objects it detects in visual content. With contextual targeting, animated SVG banners and interactive shopping, LensAI can help boost brand recognition and let people buy what they see. It's designed to open up new revenue streams for publishers and to let advertisers target ads precisely.

Another top contender is inPowered, which links to Demand-Side Platforms (DSPs) and Native Advertising channels for a potential 300% boost to campaign performance. The company's AI custom bidding models and AI-created ads are tuned for post-click engagement. And it's designed to work natively with DSPs and Native Advertising channels for maximum ad ROI.

For a broader visual intelligence option, BLIINK offers a variety of in-image ad formats, including in-image, in-image frame, in-image hotspot and in-image video. Using deep learning and AI technology, BLIINK links brands and publishers with real-time synchronization and machine learning for performance-optimized campaigns. Its image recognition technology ensures a seamless user experience and maximizes ROI.

Last, GumGum's Mindset Platform uses AI to place attention-grabbing ads in contextually relevant areas without using cookies or personal data. With features like dynamic ad creatives, attention measurement and real-time optimization, it can lead to better campaign results. The platform works across a variety of industries and use cases, with a focus on user experience and privacy.