Optimising YouTube SEO with AI: Tags, Titles, and Descriptions
Use AI tools to optimise your YouTube videos for search. Learn AI-assisted techniques for creating better titles, descriptions, and tags.

Use AI to identify long-tail keyword opportunities in your niche; they're less competitive but highly targeted.
Write descriptions for both humans and algorithms: front-load keywords in the first 2 sentences, but maintain natural language flow.
Include timestamps in your descriptions; they improve user experience and give the algorithm more indexing data.
Analyse top-performing videos in your niche and ask AI to identify common keywords and tag patterns.
Update older videos' metadata quarterly; refresh descriptions and tags to maintain SEO performance.
Why This Matters
How to Do It
Prompts to Try
Help me optimise the metadata for a YouTube video titled '[ORIGINAL_TITLE]' about [TOPIC] for [AUDIENCE]. Suggest 5 improved titles that include the keyword '[TARGET_KEYWORD]' naturally.
Write a 300-word YouTube description for this video: [VIDEO_SUMMARY]. Include the keyword '[PRIMARY_KEYWORD]' 2-3 times naturally, add a Call-to-action, and include a timestamp structure.
My YouTube channel focuses on [NICHE]. Generate 15 relevant tags I should use, organised by relevance. Explain why each tag is valuable for my audience.
