YouTube Chapters, Description, and Pinned Comment
Package a finished video for YouTube: description, chapters, and the comment worth pinning. The video is already cut. VIDEO Title we are using: [TITLE] Length: [MM:SS] What happens, in order, with rough times: [PASTE OUTLINE OR TRANSCRIPT EXCERPT] Primary phrase a searcher would type: [PHRASE] Secondary phrases: [3] Link to the thing viewers came for: [URL] Related videos on our channel: [2 TITLES + URLS] Sponsor or affiliate links that need disclosure: [LIST OR NONE] Language: [LANG] DELIVER 1) Description. First 150 characters must stand alone in the search snippet and include the primary phrase naturally, plus the main link. Then 120–180 words that say what the video covers without spoiling a twist I marked: [SPOILER OR NONE]. 2) Chapters. First chapter starts at 0:00. Minimum 3 chapters, each at least 10 seconds, titles that describe the section (not "Part 2"), no emoji unless I asked. Format exactly as YouTube expects, one per line, timestamp then space then title. 3) A links block: the main link, the two related videos, and any affiliate with a plain-language disclosure line above them. 4) Pinned comment: a question that people can answer from the video, plus the main link once. 5) Tags: 8, mixed head and specific, no misleading celebrity or unrelated trending tags. 6) A cards/end screen note: which related video to point at, and the spoken line already in the script or a line to add in the last 20 seconds. Do not stuff the primary phrase more than twice. Do not write a false duration or a chapter for a segment I did not list.
🌟 Example Output / Preview
Prompt Metadata
Primary Use Cases:
- •TikTok/Reels short-form vertical videography
- •Product walkthrough voiceovers & promotional teasers
- •Sonic branding & podcast production soundscapes
Associated Tags:
💡 Pro Tips & Advice
1. Use bracketed items: Be sure to fill out all [PLACEHOLDER] elements with specific details before sending the prompt to the AI model.
2. Adjust temperature: For creative tasks, set AI temperature higher (e.g., 0.8), or lower (e.g., 0.2) for strict coding/technical tasks.
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