Recommendation
Use a simple Zap: Trigger = new blog post (RSS or WordPress) → Action = call ChatGPT to generate headline, TL;DR and CTA → Formatter to parse outputs → Action = schedule/post to LinkedIn (Zapier LinkedIn or Buffer). If you want exact timing, either use Zapier’s Delay/Delay Until or send the generated post to a scheduling tool (Buffer/Hootsuite). This keeps cost and complexity low and runs hands‑free weekly.

Minimal Zap (low-cost, no-code)
1) Trigger: New Item in RSS feed or New Post in WordPress.
2) Action: Webhooks/OpenAI (ChatGPT) — send a prompt that returns JSON with fields: headline, tl_dr, body, cta, hashtags.
3) Action: Formatter/Parse JSON — extract fields.
4) Action: Delay Until (optional) — set publish time (e.g., next Tuesday 10:00am).
5) Action: LinkedIn Share Update (or Buffer Create Update) — post the assembled copy.

Prompt examples (copy/paste; replace {title}, {url}, {excerpt})
- Headline prompt
"Write 3 short LinkedIn headlines (max 80 characters) for this article: {title}. Keep them curiosity-driven and professional. Return as JSON array: ["h1","h2","h3"]."

- TL;DR prompt
"Write a 1-sentence TL;DR and a 2-sentence version for LinkedIn summarizing: {excerpt} (or use the article URL). Return JSON: {"tl_dr_1":"...","tl_dr_2":"..."}."

- CTA prompt (soft and hard)
"Give 3 CTAs: 1 soft (engagement), 1 medium (learn more), 1 hard (sign up). Examples: 'What do you think?', 'Read the full post', 'Join my newsletter'. Return JSON with keys soft, medium, hard."

Assembly prompt (single final message)
"Using headline: {chosen_headline}; tl_dr: {tl_dr}; cta: {chosen_cta}; hashtags: generate 3 relevant hashtags. Produce one LinkedIn post under 600 characters optimized for engagement. Return JSON: {"post":"...","hashtags":"..."}."

Best-for / Avoid-if
- Best for: solopreneurs with weekly posts, no developer resources, want automation and consistent repurposing.
- Avoid if: you need highly customized voice for each post or must post to LinkedIn personal profiles but your app lacks permission — in that case use a scheduler that supports personal posts (Buffer) or manual review step.

Decision criteria
- Budget: native Zapier + OpenAI calls require paid Zapier plan for some features (Delay Until, multi-step zaps) and OpenAI token costs. Buffer adds cost if you want advanced scheduling or personal profile support.
- Skill level: low-code; prompts are the main skill needed. Use JSON outputs to avoid fragile parsing.
- Team size / workflow stage: for solo use, keep Zap simple; for teams, add a Slack/Notion approval step.

Practical checklist before you turn on the Zap
- [ ] Confirm LinkedIn API permissions (page vs profile).
- [ ] Create API/Auth step for OpenAI or use Zapier’s OpenAI app.
- [ ] Test prompts with 5 recent posts and tweak tone.
- [ ] Use JSON responses in prompts to simplify parsing.
- [ ] Add a manual review step if quality needs human polish.

If you want, I can provide a ready-to-paste ChatGPT prompt that returns JSON for Zapier parsing and a sample Zap step mapping. (I recommend using ChatGPT for the generation step.)

Compare ChatGPT and Gemini