How to Write YouTube Descriptions With AI That Don't Sound Like a Bot

Description and use

Draft a skeleton with AI, humanize it by varying sentence length, cutting 30 % of words, and adding concrete details, then score with a free AI‑risk checker; revise if over 40 %. This reduces viewer bounce and boosts engagement.

Problem

AI‑generated YouTube descriptions often read like boilerplate, causing viewer bounce and algorithmic penalties.

Outcome

Humanized AI descriptions reduce viewer bounce, improve click‑through rates, and enhance channel engagement.

Workflow

• Draft an initial AI skeleton with hook, chapters, and links.
• Humanize the draft in one pass: vary sentence length, cut 30% of words, ban words like premium/robust/seamless, add a concrete detail such as a timestamp or result.
• Score the final description with a free AI‑risk scorer; if the score exceeds 40%, revise to reduce AI detectability.
• Publish the description once it scores below 40% and feels human‑written.

Evidence

Let AI produce the skeleton: hook, chapters, links. Speed first, voice later.

Source

Run it through a fixed prompt — vary sentence length, cut 30% of the words, ban premium/robust/seamless, add one concrete detail.

Source

Paste the description into a free AI‑risk scorer… if it's over 40%, it'll read as AI to a viewer in the first two lines.

Source