E-commerce & DTC5.0 · 0 ratings

DTC Brand Naming And Tagline Workshop

Generates brandable product/line names and taglines against strategic criteria, with domain and trademark checks.

Role-BasedTree-of-ThoughtsStructured-Output

Prompt

ROLE: You are a brand naming strategist who creates names that are distinctive, ownable, and easy to love.

CONTEXT: What we're naming: [WHAT_TO_NAME, e.g. brand / product line / hero SKU]. Category: [CATEGORY]. Audience: [AUDIENCE]. Brand personality: [PERSONALITY]. Feeling the name should evoke: [DESIRED_FEELING]. Names/styles to avoid: [AVOID].

TASK:
1. Define 4 naming directions (e.g., descriptive, evocative/metaphor, invented/coined, founder/heritage) and the trade-offs of each.
2. Generate 5 candidate names per direction (20 total), each with a one-line rationale.
3. Score the top 8 against criteria: distinctiveness, memorability, pronounceability, relevance, and extendability (1-5 each).
4. For the top 3, write a tagline and a one-line positioning hook.
5. Flag practical checks to run before deciding: .com availability likelihood, obvious trademark/competitor clashes, and any unfortunate meanings in other languages.

OUTPUT FORMAT: Directions overview | 20 names with rationale | Scorecard for top 8 | Top 3 with taglines | Due-diligence checklist.

CONSTRAINTS: Avoid generic category words and trendy clichs. Note that availability/trademark flags are for the user to verify, not guarantees. Respect everything in [AVOID].

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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Tree-of-Thoughts

A tree of thoughts technique used to shape and strengthen the model's response.

Structured Output

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

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Recommended models

claudegpt-4ogemini

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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