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Social Media

Executive Social

WEBYOUR AI

When to use it

Use it when you ghostwrite for an executive and the post has to sound like that person. It should not read as a company announcement in the first person. It works for LinkedIn or X.

What to give it

  • The angle: what the executive is arguing.
  • The belief a reader should hold afterward about the person, the company or the market.
  • Voice signals: short or long paragraphs, stories or data, assertive or reflective, how they open.
  • Any event, insight or data point to anchor the post.
  • What they should not say: topics, competitors, claims.
  • The platform.

If you give no voice notes, the briefing defaults to short paragraphs, no bullets, and first person only for a real perspective. If no executive is named, it writes for the most likely author by title (default: the CEO), invents no name or biography, and records this as an assumption.

It reads your Voice from the Brand Box.

Run it on the web

Open the Quick tab, choose Executive Social from the tool picker, and paste your brief. Run it, then copy the briefing, use Open in Claude, or download it, and let your AI write the post. Check the "Brand used" line to see which Brand Box parts shaped the result.

Run it in your AI

"Use pmmagent_elevate for an executive LinkedIn post from Tuskor's CEO on why dispatch should follow customer promises. Direct, no jargon, story-led."

The reply is the briefing, with the workspace named and a runs-left line. Connector access needs Solo or above.

Good output looks like

  • Perception target: one sentence on what the reader should believe.
  • Voice profile: paragraph length, storytelling style, what the executive avoids.
  • Platform constraints: a hook that works before "see more" on LinkedIn, or a short primary post on X.
  • Hook: the first lines, with no generic opener.
  • Body: three to five paragraphs, each moving the argument, with one surprising observation.
  • Close: the perception target earned, not restated.
  • Two variants: one story-led and one argument-led, each with its full hook line written out.

Downstream rules keep every data point, quote and product name from your brief exactly as given.