Unify real-time listening, AI trend detection, platform analytics and deep consumer insight across 15+ platforms and the open web catching text, memes, screenshots and synthetic media across every stream.
airbnb
Apple
Alibaba
Amazon
ToyotaA logo dropped into a meme. A brand mentioned inside a screenshot. A synthetic voice clip circulating in a video. None of that shows up in a keyword search.
Lolly runs every captured image and every sampled video frame through facial matching, logo detection, OCR and manipulation scoring on top of text and sentiment. A mention doesn’t have to be typed out to be caught.
Lolly’s capability
Catches every mention text, image and video the moment it lands, across social, news, forums, podcasts and the open web.
Live feed2 new
Flags emerging conversations and spikes before they break into mainstream coverage, ranked by velocity and authenticity.
Emerging topicvelocity 3.2×
“refill programme” 41 posts in an hour
Reach, engagement and growth metrics per platform, per entity, reconciled back to the raw mention count.
Reach by platformlast 7 days
Who’s talking, where and why demographic and behavioural signal layered on every monitored conversation.
Audience splitthis week
Detection capabilities
Fifteen social platforms plus a continuous crawl of the open web, news, blogs and forums normalised into one record shape and decomposable back to any single platform on demand.
Posts, comments, bios, page names and platform ads are matched language-agnostically, with the language stored to ISO 639-1. Sentiment runs three-way plus a seven-class emotion model.
Every image and video frame is checked against your brand-asset library, run through image-in-image detection and processed with OCR including video frames in every script covered.
Images and video are scored for manipulation with frame-level forensic evidence. AI-generated media is flagged with model attribution, and synthetic audio is detected on soundtracks.
Near-identical content posted by many accounts inside a short window is surfaced by a coordinated-behaviour model that scores cluster authenticity, not just volume.
Exclusion terms and contextual-anchor disambiguation run natively in-product, no vendor ticket. Raw export retains every captured record with noise flagged rather than removed.
Three things moved. The largest is visual, not textual.
A creator repost pushed TikTok mentions +340% your brand appears as a logo inside the video, with no brand string in the caption or the top 20 comments.
One manipulated video crossed your escalation threshold. The evidence pack is ready.
Ana reads every mention captured and surfaces what actually matters: a spike worth escalating, a trend worth a content brief, or a creator driving the conversation. She sits natively across both the Intelligence and the Influencer/Affiliate suites.
Data delivery & integration
Alert queuelive
Campaign windowlast 7 days
Category viewthis month
Client workspacesall clients
Industries covered
Retail & eCommerce · CPG & FMCG · Media & Entertainment · Technology & SaaS · Financial Services · Healthcare & Pharma · Automotive · Travel & Hospitality
| Capability | Lolly | Typical listening tools |
|---|---|---|
| Text mention detection | ||
| Facial and logo detection in images & video | Rare | |
| OCR on images and video frames | Limited | |
| Deepfake and AI-generated content detection | No | |
| Bot network and coordinated behaviour detection | Limited | |
| Cross-platform impersonation linking | No | |
| Unified with influencer and affiliate data | No |
The real-time collection and analysis of mentions across social, news and the web. Lolly adds facial recognition, logo detection, OCR and deepfake analysis to every captured post so coverage is not limited to what somebody typed.
Facebook, Instagram, Threads, WhatsApp public channels, TikTok, X, YouTube, LinkedIn, Reddit, Pinterest, Snapchat, Bluesky, Mastodon, Telegram public and Discord public plus an open web and news crawl.
Yes. Every image and video is scored for manipulation with frame-level forensic evidence, and AI media is flagged with attribution for Midjourney, SDXL, Sora, Veo and Flux, including synthetic audio.
Yes. Text matching, sentiment, emotion models and OCR are language-agnostic, with ISO 639-1 auto-detection stored on every record.
See every mention the ones you’d type, and the ones you wouldn’t find without us. Book a demo and watch Lolly monitor your entities live.
Book a demo now