Retensis has grown beyond a single “AI video score” into a fairly broad creator-intelligence workflow. The core analysis accepts uploaded short-form video or a public YouTube URL, scores hook, pacing, audio, visual clarity and engagement, produces a second-by-second predicted retention curve, flags likely drop-off moments and suggests concrete edits or rewritten hooks. It is optimized for TikTok, YouTube Shorts and Instagram Reels. 123
The more important differentiator is that Retensis separates prediction from measurement. Its current documentation labels outputs as Measured when they come from connected platform data, Predicted when an AI model estimates the outcome, Grounded when external research is used, and Deterministic when a value is recomputed from stated inputs. Connected-channel features and experiments can use real YouTube or other supported platform observations, while pre-publish retention curves remain estimates from the creative itself. That distinction is materially better than presenting a synthetic retention curve as if viewers had actually watched the video. 43
The platform also includes Creative DNA, creator/competitor research, trend and topic discovery, Hook Writer, Title Lab, Script Coach, Thumbnail/Version tools, Viral Planner, Retensis Agent and—on Team—Ads Studio. Pro users can expose 14 research/create/analyze/upload tools to Claude, ChatGPT or another compatible assistant through Retensis MCP. The MCP endpoint uses OAuth 2.1/scoped authorization and can be revoked. Team workflows add Slack, Discord and signed custom-webhook notifications. 456