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Best prompts for YouTube descriptions using keyword density optimization
13 copy-ready prompts to generate SEO-optimized YouTube descriptions with controlled keyword density, tags, timestamps, CTAs, and metadata. Each prompt includes a concise explanation, a practical example you can paste and use, and recommended AI models.
Claude Opus 4
Gemini 2.5 Pro
GPT-5
Claude Sonnet 4
Gemini 2.5 Flash
You spend hours crafting the perfect YouTube video, only to watch it disappear into the void because your description doesn't speak the algorithm's language. Sound familiar? You're not alone in the struggle of balancing SEO optimization with natural, engaging copy that actually converts viewers into subscribers.
This collection of 13 battle-tested prompts transforms your YouTube description writing from guesswork into a precise science. You'll get copy-ready templates that handle everything from exact keyword density targets to multilingual translations, A/B testing variations, and complete metadata packages. Instead of wondering if your descriptions will rank, you'll have the tools to create SEO-optimized copy that satisfies both algorithms and human readers every single time.
1
Exact-density YouTube description
Write a YouTube video description for the video titled "{video_title}". Use the primary keyword "{primary_keyword}" at exactly {target_density}% density (count and percent measured against total words). Length: {word_count} words. Tone: {tone}. Include: 1) the full description, 2) stats (total words, keyword count, resulting density), 3) 8 suggested tags, 4) 3-line CTA and 5) thumbnail text (max 35 chars). Avoid keyword stuffing and keep phrasing natural.
Generate a description that uses a primary keyword at an exact target density and returns counts and stats.
2
Short SEO-optimized description under character limit
Produce a short YouTube description (max {char_limit} characters) for "{video_title}". Include the primary keyword "{primary_keyword}" at ~{target_density}% density (approximate). Tone: {tone}. Also output: 5 hashtags, 5 suggested tags, and a 1-line CTA. Ensure readability and avoid truncation on mobile.
Create a concise, SEO-friendly description that fits a strict character limit while hitting a target density for one keyword.
3
Long-form description with chapters and balanced density
Generate a long-form YouTube description for "{video_title}" of about {word_count} words. Primary keyword: "{primary_keyword}" target {target_density}%. Include: an engaging opening 1-2 lines, 5 chapter timestamps with labels, a 2-paragraph summary section (use LSI keywords: {lsi_keywords}), suggested tags (10), 4 hashtags, 3 CTAs (subscribe, watch playlist, visit link), and stats (words, keyword count, density). Keep natural flow and avoid repetition.
Write a long description with chapter timestamps, maintain keyword density, plus LSI keywords and a content summary.
4
A/B descriptions for density testing
Create two variations (A and B) of a YouTube description for "{video_title}". Primary keyword: "{primary_keyword}". A: target density {density_A}%. B: target density {density_B}%. Word length: {word_count} words each. For each variant provide: description text, stats (words, keyword count, density), 5 tags, 3 hashtags, and one short CTA. Make A and B different in phrasing and structure to test performance.
Produce two distinct descriptions (A and B) at different keyword densities for split testing, with stats for each.
5
Multilingual density-preserved translation
Write a YouTube description for "{video_title}" in {target_language}. Primary keyword in English: "{primary_keyword_en}". Provide the equivalent primary keyword in {target_language} and ensure target density {target_density}% in the translated text. Output: translated description (~{word_count} words), original-English description (same content, for reference), stats for both (words, keyword count, density), 5 tags in {target_language}, and 3 hashtags. Keep tone: {tone}.
Translate the description into another language while preserving keyword density for the translated keyword.
6
Cluster + LSI-focused description
Create a YouTube description for "{video_title}" using a primary keyword cluster: primary "{primary_keyword}" and secondary keywords: {secondary_keywords_list}. Target primary keyword density: {target_density}%. Ensure all secondary/LSI keywords appear naturally at least once. Provide: description (~{word_count} words), keyword placement map (which sentence each keyword appears in), 10 suggested tags, 5 hashtags, and stats (words, primary keyword count, density). Keep tone: {tone}.
Optimize description using a primary keyword cluster and multiple LSI keywords to improve contextual relevance without overusing the primary keyword.
7
Natural-language description with stuffing guardrail
Write a natural YouTube description for "{video_title}". Primary keyword: "{primary_keyword}". Maximum allowed density: {max_density}% (do not exceed). Length: {word_count} words. Return: description, stats (words, keyword count, density), short 2-sentence explanation on why keyword stuffing was avoided, 7 tags, and 3 CTAs. Maintain fluent readability and viewer-first tone: {tone}.
Generate a natural-sounding description that meets a density cap and includes a short note explaining why it avoids stuffing.
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