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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.

9 min read27 February 2026
YouTube
optimisation
Optimising YouTube SEO with AI: Tags, Titles, and Descriptions

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

YouTube's search algorithm favours properly optimised metadata. AI models like ChatGPT and Claude accelerate the process of researching keywords, crafting compelling titles, and writing descriptions that improve discoverability. This guide reveals how to leverage AI for YouTube SEO success.

How to Do It

1
ChatGPT can suggest long-tail keywords and search terms relevant to your content. Ask it to analyse your niche and propose keywords with high search volume and lower competition.
2
Effective titles balance searchability with click appeal. AI helps generate title variations that include target keywords naturally whilst remaining compelling and accurate.
3
Your video description is prime real estate for keywords and links. AI can draft descriptions that include strategic keyword placement, timestamps, and relevant links without sacrificing readability.
4
AI helps identify which tags competitors rank for and suggests complementary tags for your videos. Systematic tagging across your library improves content interconnection.
5
Use AI to analyse your video performance data and identify patterns. Double down on what works by refining titles, descriptions, and tags for similar future content.

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

{'tip': "Use AI to identify long-tail keyword opportunities in your niche; they're less competitive but highly targeted."}

Frequently Asked Questions

YouTube allows up to 500 characters of tags total. Use 10-15 relevant tags, prioritising long-tail keywords that accurately describe your content.
Yes, placing your primary keyword in the first 2-3 sentences signals relevance to the algorithm. Maintain natural language; obvious keyword stuffing hurts rankings.
AI provides an excellent starting point with keyword placement and structure. Personalise it with specific examples and calls-to-action for authenticity and higher engagement.

Next Steps

["YouTube SEO success requires balancing algorithmic optimisation with authentic, compelling content. AI tools dramatically accelerate the research and writing process, helping you implement best practices at scale. By combining AI-generated metadata with regular performance analysis and iteration, you'll gradually improve discoverability and attract more viewers to your content."]

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