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.
Influencer Alignment Audits: Are Posts Really On-Brand?
Influencers may tag your brand, but are they truly representing it on-screen? In a digital world dominated by visual storytelling, brands can no longer rely on mentions and hashtags alone. This article explores how AI-powered logo detection and visual audits reveal hidden gaps in influencer content — missed placements, off-brand visuals, and even competitor exposure. For C-level executives, it’s a roadmap to transform influencer marketing from guesswork into a measurable, contract-enforceable, and performance-optimized strategy.
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.