YouTube search is the second-largest search engine on the planet, and most creators treat descriptions and tags as an afterthought. This Logic Recipe uses NotebookLM to research keyword opportunities from your content, then generates SEO-optimized descriptions, tags, and metadata that maximize discoverability.
Every optimized video is a search asset that generates traffic forever. Unlike social media posts that decay in hours, a well-SEO'd YouTube video can rank for its target keyword for years. Channels that systematically optimize metadata across their library see traffic compound — each video adds to the channel's topical authority, making every subsequent video easier to rank.
The three metadata elements that matter most: title (primary keyword, click-worthy), description (first 2 lines visible in search, keyword-rich, value-signaling), and tags (YouTube still uses these for topic understanding, especially for misspellings and related terms). Getting all three right on every video is the SEO equivalent of compound interest.
SEO isn't a one-time task — it's an asset-building system. Every optimized video is a search magnet that works while you sleep.
Upload: (a) your video script or transcript, (b) keyword research data from YouTube autocomplete, Ahrefs, or TubeBuddy, (c) descriptions from the top 5 ranking videos for your target keyword. NotebookLM becomes your SEO research hub.
Use the Teaser Prompts below. NotebookLM extracts the key topics, entities, and terms from your script, cross-references against keyword data, and generates an SEO-optimized description with primary and secondary keywords naturally integrated.
Route the description to Claude for final polish: ensure keyword placement is natural, generate a tag list of 15–20 terms covering exact match, related terms, and common misspellings, and create 3 title variants for A/B testing.
| AI Tool | Role | Why this tool |
|---|---|---|
| NotebookLM | Extract keywords from script, analyze competitors | Grounded RAG — SEO data from your actual content |
| Claude | Description writing, tag generation | Structural reasoning, natural keyword integration |
| Perplexity | Real-time keyword validation | Live search data, current ranking landscape |
Copy any prompt. Replace bracketed placeholders.
Every prompt in this guide plus all prompts across the full category — advanced workflows, specialized use cases, and production-grade templates.
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A finance channel re-optimized metadata for their entire library of 100 videos. They uploaded all scripts and existing descriptions to NotebookLM (10 notebooks of 10), generated keyword analyses for each, then used Claude to produce new descriptions and tags. Total time: 2 weekends. Organic search traffic increased 43% within 90 days — with zero new content published. The existing library simply became more discoverable.
100 videos. 43% search traffic increase. Zero new content. SEO optimization of existing assets is the highest-ROI activity in YouTube content strategy.
This is what appears in YouTube search results. Include your primary keyword naturally and make it compelling enough to click. Think of these 2 lines as ad copy with a keyword requirement.
Expand on what the viewer will learn, using secondary keywords naturally. Each sentence should both deliver information AND contain a search term. Don't keyword-stuff — write for humans who happen to use search terms.
Chapter timestamps improve both SEO (YouTube indexes chapter titles as searchable content) and user experience. Each timestamp title should include a relevant keyword when natural.
YouTube counts outbound link diversity as a quality signal. Include links to referenced tools, related videos, and your social profiles.