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Best prompts for YouTube SEO: Video tags
12 copy-ready AI prompts to generate, optimize, and test YouTube video tags for maximum search and discovery. Each prompt is specific, practical, and includes a realistic example and recommended AI models.
GPT-5
Claude Opus 4
Gemini 2.5 Pro
Claude Sonnet 4
Gemini 2.5 Flash
You know that sinking feeling when you spend hours crafting the perfect YouTube video, only to watch it disappear into the platform's black hole because your tags are... well, terrible? You're not alone if you've ever stared at that empty tags field, desperately typing random keywords and hoping something sticks. Most creators treat YouTube tags like an afterthought, throwing in whatever comes to mind and wondering why their videos never get discovered.
These 12 copy-ready AI prompts transform your tag strategy from guesswork into a precision science that actually drives views and subscribers. You'll get specific prompts for everything from competitor analysis and transcript mining to seasonal optimization and A/B testing variations. Instead of struggling with generic keywords that get you nowhere, you'll have a systematic approach to create tags that help YouTube's algorithm understand exactly what your content delivers and who needs to see it.
1
Tags from Title + Description
You are an expert YouTube SEO assistant. Given the video title and description below, generate: (A) 3 priority tags (most important), (B) 12–18 total tags mixing short and long-tail variants, (C) provide tags in two formats — comma-separated and newline-separated. Keep total characters ≤ 500. Output only: a labeled 'PRIORITY' line with 3 tags (comma-separated), a 'CSV' line, and a 'LINES' block with one tag per line. Video title: "Vegan Chocolate Cake | 30-Minute Easy Recipe" Description: "A quick and moist vegan chocolate cake recipe that’s ready in 30 minutes. No dairy, no eggs, perfect for beginners. Includes tips for substitutions and frosting ideas."
Generate a balanced set of primary, secondary, and long-tail tags from a video title and description. Output both CSV and newline formats and mark 3 priority tags.
2
Tags from Full Transcript
You are a YouTube tag generator. Read the transcript below and produce: (1) 15–25 optimized tags (mix of short and long-tail), (2) three 'timestamped tags' linking tag phrases to the earliest timestamp where they appear in the video (format: tag — 00:MM:SS). Output JSON with fields: tags (CSV string), tags_list (array of strings), timestamped (array of {tag, timestamp}). Transcript: "[00:00:05] Hi, I'm Alex. Today we're testing the iPhone 15 camera in low light. [00:01:30] First test: night street photography with manual exposure... [00:04:00] Tips for stabilizing your phone… "
Analyze a video transcript to extract topic tags, named entities, and key phrases. Prioritize search intent and timestamps where key tag phrases appear.
3
Competitor Tag Analysis
You are an SEO analyst. Given up to three competitor YouTube video URLs (or titles if URLs unavailable), extract or infer their top tags, identify overlaps and gaps, then produce: (A) 12–20 optimized tags for our new video, (B) a 2-line justification: top 2 high-competition tags to include and 2 niche tags to target. Output only JSON: {tags: [...], high_competition: [...], niche_targets: [...]} Competitors: 1) https://www.youtube.com/watch?v=comp1 2) https://www.youtube.com/watch?v=comp2 3) "Best DSLR portrait lighting tutorial"
Compare tags from up to three competitor video URLs and synthesize a superior tag set combining high-SEO terms and niche differentiators.
4
Long-Tail Expansion from Seed Keywords
You are an SEO expansion tool. Input seed keywords: "seed1, seed2, seed3". For each seed, produce 6–10 long-tail tags that reflect likely search queries (include question forms, how-to, comparison, and modifiers such as 'cheap', '2025', 'for beginners'). Output as a JSON map where keys are seeds and values are arrays of tags. Seeds: vegan lasagna, meal prep, gluten-free baking.
Expand 3–5 seed keywords into 20–30 long-tail tag variants optimized for YouTube search with audience intent indicated.
5
Tag Grouping by Viewer Intent
You are a YouTube SEO strategist. Given the topic: "best noise-cancelling headphones 2025 review", create 4 groups of tags: informational (how/why), transactional (buy/comparison), navigational (brand/model), and brand (channel/series). For each group list 6 tags and mark 2 priority tags. Output as a JSON object with keys informational, transactional, navigational, brand; each a list of objects {tag, priority:true|false}.
Organize tags into intent buckets (informational, transactional, navigational, brand). Provides priority tags per bucket to guide metadata strategy.
6
Multi-language Tag Set (English + Spanish)
You are a multilingual SEO assistant. For the video topic "Los Angeles hiking guide: Runyon Canyon to Griffith Park", produce: (A) 10 English tags (priority 3), (B) 10 Spanish tags (priority 3), (C) one-line transliteration/notes for any proper nouns. Output JSON: {english: [...], spanish: [...], notes: ""}.
Create bilingual tag lists to reach English and Spanish audiences. Provide priority tags in both languages and transliteration where needed.
7
Local SEO Tags for Location-Based Videos
You are a local SEO expert. Topic: "Best tacos in Austin 2025". Generate 12–16 tags optimized for local search including: city+keyword variants, neighborhood tags, 'near me' variants, and event/location tie-ins. Indicate 2 tags to use as channel-level tags. Output plain text list with 'CHANNEL_TAGS:' first, then other tags one per line.
Produce location-optimized tags for city/region-targeted videos including neighborhood names, local slang, and 'near me' variants.
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