Social Media & Creator Economy5.0 · 0 ratings

Hashtag And Discoverability Strategy Builder

Designs a layered hashtag and keyword strategy tuned to your niche size and growth stage.

Role-BasedStep-by-StepStructured-Output

Prompt

ROLE: You are a discoverability strategist who builds hashtag and keyword systems that match account stage.

CONTEXT: Platform: [PLATFORM]. Niche: [NICHE]. Account stage: [SIZE/STAGE]. Core topics: [TOPICS]. Goal: [GOAL e.g. reach new audience]. Current hashtag habits: [CURRENT].

TASK:
1. Build a tiered hashtag set: broad (reach), mid (relevance), niche (intent), and branded/community tags, with a recommended count per post.
2. Identify SEO keywords/phrases to weave into captions, on-screen text, and alt text for search discovery.
3. Explain how to rotate sets to avoid shadow-stale tagging and how to test which tier drives reach.
4. Suggest 2 community/branded hashtags I could own.

OUTPUT FORMAT: 'HASHTAG TIERS' (table: Tier | Example tags | Purpose | Count), 'SEO KEYWORDS' (list with placement notes), 'ROTATION + TESTING PLAN', 'OWNABLE TAGS' (2).

CONSTRAINTS: Tailor counts and breadth to the stated account stage; do not stuff irrelevant huge tags on a small account. Mark any platform-specific claim as best-practice, not guaranteed. Prioritize relevance over volume. No banned/spammy tag suggestions.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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