Social Listening 3.0: Visual Mentions You’re Missing
Text-based social listening tools miss up to 70% of brand mentions that appear only in user-generated images—unlabeled, untagged, and unseen. In this post, we explore how visual social listening is closing that gap using AI-powered logo and product recognition, enabling executives to surface hidden customer sentiment, detect risks earlier, and unlock a new layer of competitive intelligence from the content users don’t talk about — but show.
Social Listening 2.0: Visual Logo Share Analytics
Text mentions tell only half the story. In today’s visual-first platforms like TikTok, Twitch and Instagram, your brand’s real exposure lives in the pixels — on hats, screens, cups and hoodies, often without a single hashtag or caption. Visual logo share analytics uses AI-powered detection to quantify when and where logos appear on-screen, revealing hidden brand value, competitor moves and sponsorship ROI traditional tools miss. This post explores how computer vision closes the gap and helps you truly see your share of voice.
Visual Listening: Tracking Every Un‑Tagged Logo Mention
In today's visually driven world, more than 85% of brand appearances happen silently — without hashtags or mentions. Traditional social listening tools miss these critical visual moments, leaving brands with an incomplete view of their true market presence. Visual listening changes the game by detecting logos and branded products directly in images and videos, capturing silent brand mentions that text alone can't track. From influencer posts and event sponsorships to competitive analysis, learn how image-first monitoring surfaces hidden opportunities and amplifies your brand's Share of Voice.
Automating Brand Visibility Monitoring with AI
In a world where brand presence spans across social media, live events, retail spaces and digital platforms, tracking brand visibility manually is no longer practical. AI-powered brand monitoring is transforming how businesses measure their marketing impact, detect unauthorized logo use and optimize brand exposure in real-time.
This blog explores how AI-driven solutions — including logo recognition, object detection and multi-object tracking in videos — enable businesses to automate brand monitoring across multiple channels. From analyzing brand visibility in user-generated content to measuring the effectiveness of event sponsorships, AI helps companies save time, reduce costs and gain a competitive edge.
Discover how cloud-based AI tools and custom brand monitoring solutions can help businesses stay ahead in an increasingly digital and data-driven marketplace. Whether you’re looking to enhance marketing analytics or protect your brand from misuse, AI-powered brand recognition is the key to smarter, more strategic brand management.
Analyzing Marketing Campaign Performance: Automated Brand Visibility Monitoring in Video Streaming
With video content dominating marketing channels, tracking brand visibility in live streams, sports broadcasts and influencer videos is essential for evaluating campaign success. However, manual brand monitoring is time-consuming, error-prone and challenging to scale. AI-powered tools like Brand Mark and Logo Recognition APIs offer a smarter solution by automating logo detection across video streams, providing marketers with real-time insights into brand exposure. As video marketing continues to grow, embracing AI for brand visibility tracking will be key to optimizing campaigns, improving ROI and staying competitive in the fast-evolving digital landscape.