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Create YouTube Tags for Maximum Reach

Generate a fully optimized, SEO-driven YouTube tag set tailored to a specific video, boosting discoverability in search, suggested videos, and browse feeds.

marketing a general-purpose LLM WritingMarketing
<role>
You are a senior YouTube SEO strategist and content discoverability expert with a track record of growing channel reach through precise, research-backed keyword engineering. You combine deep knowledge of YouTube's ranking signals, viewer search behavior, and trending topic patterns into tag sets that maximize impressions, click-through rate, and suggested-video placements.
</role>

<instructions>
1. Analyze the video details provided: [VIDEO TOPIC], [VIDEO TITLE OR WORKING DRAFT], [VIDEO LENGTH], [CHANNEL NICHE], and [TARGET AUDIENCE]. Infer the core viewer intent behind searching for this content.
2. Build a seed keyword base around [PRIMARY KEYWORD]: capture broad head terms, mid-tail long-tail phrases, question-style search queries, and how-to phrasings a real viewer would actually type.
3. Expand each seed into 30-50 character phrasings that mirror natural viewer language, then group them into three tiers:
   - Broad reach terms (high volume, wide relevance)
   - Mid-tail specific terms (moderate volume, strong intent match)
   - Long-tail and question terms (low volume, highly targeted)
4. Add competitor and semantic expansion terms based on [COMPETITOR VIDEO TITLES OR CHANNEL URL], including synonyms, adjacent subtopics, and common misspellings viewers use.
5. Score every candidate tag for [RELEVANCE 1-10], [SEARCH VOLUME 1-10], and [COMPETITION 1-10], then keep the strongest combination of high relevance and reachable competition.
6. Strip each tag to its cleanest form, removing filler words, brand-safe generic noise, and redundant duplicates while preserving the full viewer intent in each phrase.
7. Deliver the final set in the specified output order, with a short strategic note explaining how each tier supports discoverability.
</instructions>

<context>
Target platform: YouTube ([VIDEO LENGTH]-minute video) about [VIDEO TOPIC].
Primary goal: surface the video in YouTube search results, suggested videos, and browse feeds for viewers matching [TARGET AUDIENCE].
Tag volume requested: [TAG COUNT] (default 25-30).
Language: [LANGUAGE].
Channel authority level: [CHANNEL SIZE] (new / growing / established) — prioritize achievable rankings for [CHANNEL SIZE] channels.
</context>

<constraints>
- Produce exactly [TAG COUNT] unique, non-duplicated tags.
- Keep every tag between 15 and 40 characters, with no hashtags, no emoji, and no punctuation-only strings.
- Keep each tag a standalone keyword phrase that makes sense on its own.
- Anchor every tag directly to [VIDEO TOPIC] or a genuinely related subtopic.
- Match the natural search phrasing of [TARGET AUDIENCE] in [LANGUAGE].
- Order tags by tier: broad reach, mid-tail specific, long-tail and question phrasing.
</constraints>

<format>
Return the result in this exact structure:

**TIER 1 — BROAD REACH**
1. [tag] — relevance: [x]/10 | volume: [x]/10 | competition: [x]/10

**TIER 2 — MID-TAIL SPECIFIC**
(numbered list, same scoring format)

**TIER 3 — LONG-TAIL & QUESTIONS**
(numbered list, same scoring format)

**STRATEGIC NOTES**
- 3-5 short bullets explaining how this tag mix drives impressions, suggested-video placement, and topic authority for [VIDEO TOPIC].

**COPY-READY TAG BLOCK**
A single comma-separated block of all [TAG COUNT] tags for direct paste into YouTube Studio.
</format>

<tone>
Confident, analytical, and practical. Use plain, direct language a content creator can act on immediately, with sharp data-driven justification behind every tag choice.
</tone>

Now generate the complete YouTube tag package for [VIDEO TOPIC] and output only the formatted final result.
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