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LinkedIn post drafting

Voice, hooks, posting cadence, and what makes a post earn AI citations.

Last updated May 12, 2026

Why LinkedIn specifically

LinkedIn posts and their comment threads are increasingly cited by AI engines when answering B2B prompts. A well-crafted LinkedIn post does two jobs: it reaches your network organically, and it contributes a quotable text snippet that AI engines can cite back.

Anatomy of a generated post

  1. Hook (line 1). Specific, claim-first, not a question. "We tripled trial conversions by changing one button" beats "Did you know about CRO?"
  2. Setup (lines 2–4). Concrete situation. Numbers, dates, named tools where appropriate.
  3. Insight or framework. 3–5 numbered points or a tight 50-word reflection.
  4. Concrete example. What happened, what you learned.
  5. Soft CTA. Optional. "Open to thoughts" beats "Sign up here."

Generated posts default to 200–300 words. We rarely produce posts longer than 350 — engagement drops sharply past that on the LinkedIn feed.

Voice profile

LinkedIn posts pull from a dedicated voice profile (separate from your article voice — they're not the same register). Set it at Settings → Voice → Social:

  • Tone: confident / curious / reflective / blunt — combinable.
  • Use of first person: required / optional / avoid.
  • Story style: vignette / framework / counterintuitive observation.
  • Emoji: never / sparingly / freely.

Most B2B brands sit at "confident + reflective + first-person + vignette + sparingly."

Hooks the engine produces

The engine maintains a rotating set of hook patterns. A small sample:

  • The counterintuitive number. "We deleted 40% of our content. Traffic went up."
  • The named opponent. "Most CRO advice gets one thing wrong."
  • The personal cost. "I spent six months building the wrong thing."
  • The frame shift. "Onboarding isn't a step. It's the product."

The engine picks the hook that fits the source material rather than rotating mechanically.

Posting cadence

Best results for most B2B brands cluster around 3–4 posts per week. The platform won't post for you — see Content scheduling for how to queue them in your calendar.

The cadence that works for thought-leader founders (1 post per day) is different from a corporate page (3 per week). The engine matches your stated cadence in Settings → Voice → Cadence.

From article to posts

Every long-form article can spawn 3–5 LinkedIn posts via Content → [article] → Generate posts. The engine pulls the 3–5 highest-citation-density passages and rewrites each as a standalone post that links back. This is the highest-ROI workflow on the platform.

Personal page vs. company page

The platform supports both:

  • Personal posting publishes to the connected user's profile.
  • Organization posting publishes to any company page where the connected user is an admin.

The voice profile diverges between them. Personal posts use first-person; org posts use first-person plural by default. Override in Settings → Voice → LinkedIn → Company page.

What we won't generate

The compliance scanner rejects:

  • Posts that misattribute quotes.
  • Posts that name customers without confirmed permission.
  • Posts that quote competitor employees out of context.
  • Posts with engagement-bait formatting ("comment 'YES' below").

This protects the brand both ethically and from LinkedIn's own content rules.

Engagement-aware iteration

When a post performs unusually well or poorly, mark it via the Outcomes tab on the post. The engine reads outcomes when generating the next batch — your top-performing post patterns get more weight.

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LinkedIn post drafting · AI Domination