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First Party Research Brief

GPTClaudeGemini··640 copies·updated 2026-07-14
first-party-research-brief.prompt
---
version: 1.0
tested_model: claude-sonnet-4-6
tested_date: 2026-05-20
category: geo
---

# First-Party Research Brief

**Category:** GEO
**Model tested:** Claude Sonnet 4.6
**Last updated:** 2026-05-20

## What it does

Plans a small, focused original research piece designed for maximum LLM citation. First-party data is the single highest-leverage GEO move available to most B2B companies: industry studies have unusually long citation half-lives because they become the source other writers cite when they need a number — and LLMs cite them disproportionately for the same reason.

This doesn't require a 200-person survey. A well-designed 30-response study, a structured analysis of your own client data, or a curated benchmark with clear methodology can generate years of citation value. The brief this prompt produces tells you exactly what to study, how to design it for maximum citability, which "citable hook" to optimize for, and how to structure the deliverable so LLMs can extract from it.

## Input needed

- Your company/brand name
- Your category and area of expertise
- What you observe that others aren't measuring (your unfair data advantage — what you see in client work, sales conversations, or your own operations)
- Target audience for the research
- Resources available: approximate number of responses you can collect, or whether you're working from existing data

## Prompt

when to use it

Community prompt sourced from the open-source GitHub repo d-gnwconsulting/gnw-marketing-prompts (MIT). A "First Party Research Brief" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.

tags

roleplaycommunitygeneral

source

d-gnwconsulting/gnw-marketing-prompts · MIT