Archive

Archive is an AI-powered platform designed specifically for brands and marketing teams to manage, track, and scale their creator marketing programs. It provides full visibility into user-generated content (UGC) across social media, communities, and influencer campaigns, enabling teams to capture every mention, discover the right creators, monitor campaign performance, and deliver measurable return on investment (ROI). The platform solves a common challenge: manual tracking of posts, screenshots, and spreadsheets is time-consuming and unreliable. Archive automates the detection of all types of creator content—including tagged and untagged posts, Stories, videos, and even embedded mentions on third-party platforms. Using artificial intelligence, it scans social channels continuously, 24 hours a day, 7 days a week, so brands never miss a single creator post, whether it is directly tagged or not. This eliminates the overhead of manually hunting for content and reduces the risk of overlooking valuable organic mentions. For creator discovery, Archive replaces the chaotic process of scouring social media DMs or influencer databases. Its AI scans public profiles, engagement metrics, and historical content to surface creators who align with a brand's target audience and campaign goals. Users can filter by niche, follower count, engagement rate, and past brand collaborations, allowing teams to build a vetted list of potential partners in minutes rather than days. Once creators are onboarded, the platform automatically tracks their posts, stories, and live streams, collecting performance data such as impressions, clicks, likes, comments, shares, and saves. Campaign reporting is fully automated. Instead of compiling screenshots and manual calculations in spreadsheets or slide decks