AI / ML
Brand Voice
An AI feature that learns a brand's actual writing style — vocabulary, hook patterns, sentence rhythm, typical CTA — from its published posts, and writes new captions in that exact pattern instead of using generic templates.
Brand voice (in AI captioning) is the practice of training a language model on a brand's existing published content so it generates new captions matching that brand's actual writing pattern — vocabulary choices, hook structure, sentence rhythm, em-dash usage, CTA phrasing, even typical typos. The opposite is "templated" output, where every caption reads like the same OpenAI default. Brand voice is increasingly important because templated AI captions are now obvious to readers (lowering perceived authenticity and engagement), and platforms' algorithms appear to weight engagement-per-impression heavily — meaning generic-feeling captions underperform mathematically. Clipflow trains one Brand Voice per client workspace, so an agency running several clients never mixes their voices.
Related terms
Captions / Subtitles
On-screen text rendered over short-form video showing what the speaker is saying. Critical because most feed traffic pla…
Hook (short-form video)
The opening 1–3 seconds (audio + on-screen text) of a short-form video, which determines whether feed viewers swipe past…
Content repurposing
Turning a single piece of source content into multiple platform-native derivatives — for example, a 60-minute podcast in…