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.
Common Mistakes
Not following best practices
Tools That Work for This
Strong at generating video scripts, hooks and content outlines with natural conversational flow.
Excels at maintaining consistent tone across long scripts and refining narrative structure.
Edit video by editing text. Includes AI-powered transcription, filler word removal and screen recording.
Generate video clips from text prompts, remove backgrounds and apply AI-powered visual effects.
AI search engine that provides answers with real-time citations. Ideal for verifying claims and finding current data.
