Analyze how any person or company writes on LinkedIn and get a reusable voice guide with tone, vocabulary, structural patterns, and engagement themes.
Give the flow a LinkedIn profile URL. It returns a voice guide with annotated post examples and a "write like / don't write like" reference a ghostwriter can keep open while drafting.
The voice guide covers six dimensions. Tone: where the person falls between formal corporate and casual conversational, with specific markers from their posts. Vocabulary: words and phrases they use repeatedly, jargon they avoid, how they handle industry terminology. Structure: average post length, paragraph style, use of line breaks, hook patterns, and how they handle CTAs. Content themes: topics they return to, angles they take, opinions they express. Engagement patterns: which post types and topics get the most response from their audience. And a "write like / don't write like" section with annotated examples pulled from their actual posts. The document reads as a reference a writer can keep open while drafting.
Brand voice documents describe how a person wants to sound. LinkedIn posts show how they actually sound. The gap between the two is where ghostwriting goes wrong: the brief says "authoritative but approachable" and the writer interprets that differently every time. A voice profile built from 20-30 real posts with engagement data captures the specific patterns that make a person's writing recognizable, including habits they would never think to describe in a workshop. The result is a reference document grounded in evidence, not adjectives.
Company pages have a different voice from personal profiles. This prompt analyzes how the brand communicates on LinkedIn as an organization: the institutional tone, content themes, formatting conventions, and how the voice shifts across content types.
Analyze the LinkedIn voice of HubSpot's company page (https://www.linkedin.com/company/hubspot/). We're onboarding them as a client and need to match their tone.
When two leaders at the same company both post, their voices should be distinct but complementary. This prompt analyzes both and highlights where they overlap, where they diverge, and how to keep each voice recognizable.
Compare the LinkedIn voices of our client's CEO and CTO. The CEO posts weekly, the CTO just started. Map the differences and recommend how to keep both voices distinct.
After extracting the voice profile, this prompt puts it to work immediately. The AI uses the voice guide from the previous analysis to write posts that match the person's tone, structure, and content themes.
Using the voice profile we just built, write 3 LinkedIn posts for next week. One thought leadership piece on AI in retail, one industry commentary, one behind-the-scenes.
