How to Write YouTube Descriptions and Tags with AI

A YouTube description explains what a video covers and helps viewers decide whether to watch. AI can summarize a transcript, draft a resource list, suggest chapter labels and create a consistent channel footer. Give it the real transcript or outline, the audience, verified URLs and any claims it must preserve. Ask it to mark details it cannot confirm rather than invent names, timestamps, product specs or citations. Put the most useful explanation in the opening lines because viewers may see only a preview before expanding the description. Then organize supporting information so it is easy to scan: a fuller summary, chapters if available, sources, disclosures and relevant links. Check every URL and ensure the wording makes clear whether a link is a source, sponsor or product page. If the video contains a paid promotion or affiliate relationship, follow the applicable platform rules and advertising disclosures. Descriptions should be unique to each video and reflect what is actually shown. Reusing boilerplate is fine for consistent channel information, but it should not replace the specific summary. YouTube’s current upload help lists a 5,000-character description limit. That is a field limit, not a target length; prioritize clarity and accurate details. Tags have a narrower role. YouTube says title, thumbnail and description are more important metadata, and tags play a minimal role in discovery except when helping address common misspellings. Add only relevant terms in the tags field; do not stuff tags into the description. Avoid unrelated trending names or phrases that make a video appear to cover something it does not. Before publishing, compare the description with the video, verify attribution and links, and check accessibility text and disclosures. If a transcript contains sensitive details, do not paste it into an unapproved tool. Keep a final copy of the approved description so corrections can be made if a link or referenced fact changes.