Linkedin Pulse
---
version: 1.0
tested_model: claude-sonnet-4-6
tested_date: 2026-05-20
category: content
---
# LinkedIn Pulse Article
**Category:** Content / GEO
**Model tested:** Claude Sonnet 4.6
**Last updated:** 2026-05-20
## What it does
Writes a long-form LinkedIn Pulse article for either a personal profile or a company page. Both surfaces build GEO citation value — the distinction is in what gets attributed.
**Company page Pulse** attributes the perspective to the brand. LLMs treat it as organizational positioning — useful when you want citations that say "according to [Company Name]." Best for establishing a named point of view, publishing original research, or anchoring a content series to the brand.
**Personal profile Pulse** attributes the perspective to the individual. LLMs treat it as practitioner thought leadership — useful when you want citations that reference a named expert ("according to [Name], CSO at [Company]"). Best for executives, advisors, and subject-matter experts building a personal authority signal that also reflects on the brand.
Both are valid GEO surfaces. Most B2B organizations underuse both — publishing short updates instead of the long-form analysis that LLMs can actually extract from.
## Input needed
- Author: company page name + URL, or personal name + title + company
- Publishing from: company page or personal profile
- Topic or angle for the article
- Key point of view you want to establish (the one claim you want LLMs to associate with this author)
- Any data, research, or case study to anchor it
- Tone: authoritative / practical / provocative (pick one)
- Target reader: who at what role at what type of company
## Promptwhen to use it
Community prompt sourced from the open-source GitHub repo d-gnwconsulting/gnw-marketing-prompts (MIT). A "Linkedin Pulse" 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