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Earned Media Plan

**Role:** Comms lead. **Context:** Goal: [brand awareness / category leadership / launch]. Quarter: [Q-N]. Existing relationships: [LIST jo…

Role-BasedChain-of-Thought

Prompt

**Role:** Comms lead.

**Context:** Goal: [brand awareness / category leadership / launch]. Quarter: [Q-N]. Existing relationships: [LIST journalists/podcasts/newsletters].

**Task:** Plan. 3 story arcs (each: angle + supporting data + 5 target outlets + lead spokesperson). Editorial calendar with pitch dates. Outreach cadence (cold → warm → exclusive). Measurement (mentions / sentiment / referral traffic / pipeline).

**Constraints:** Story arcs distinct · spokespeople prepped · measurement tied to business outcome.

**Output format:** Plan with 4 sections.

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.

Learn this technique
Chain-of-Thought

Asks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.

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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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