Recommendation
Use Zapier to orchestrate: a scheduled or trigger-based Zap calls ChatGPT to generate a structured draft, creates a WordPress draft, notifies an editor for QA, then—after approval—schedules/publishes the post. Keep a mandatory human editorial step and automated plagiarism/fact checks to avoid low-quality or duplicate content.

Decision criteria
- Budget: Zapier multi-step Zaps and OpenAI/ChatGPT API calls require paid accounts. If budget is tight, trigger drafts manually using a spreadsheet and a single Zap.
- Skill level: Basic Zapier + WordPress setup is enough; prompt-writing skill matters for quality.
- Team size/workflow stage: Single-author blogs can skip complex approval flows; teams need Slack/Email approvals and version tracking.
- Output quality: Higher-quality outputs require richer prompts, examples, and strict editorial QA.

How the Zap flow looks (high level)
1) Trigger: Scheduled Zap or “New Row in Google Sheets” / “New Trello Card” for topic ideas.
2) Action: Call ChatGPT (OpenAI) via Zapier action or Webhooks to generate a draft (request HTML or Markdown).
3) Action: Create WordPress Post (post_status = draft or future with post_date for scheduled publish). Save the WP post ID in your row.
4) Action: Notify editor via Slack/Email with post link and QA checklist.
5) Trigger (editor approves): Editor changes a cell, clicks a button (Zapier Webhook), or uses a Zapier “Push” app to indicate approval.
6) Action: Update WordPress Post to publish or set scheduled publish date.

Sample prompts (practical)
- Draft generator
"Write a 700–900 word HTML blog post for [audience] on this topic: [title]. Angle: [unique angle]. Include H2/H3 headings, one intro hook, conclusion, meta description (max 155 chars), suggested slug, 3 internal link suggestions, and 3 external sources with URLs. Tone: [professional/ conversational]. Use facts and cite sources."
- Editorial QA assistant
"Check the draft for factual errors, unsupported claims, grammar, SEO (H tags, meta desc, keywords), duplicate content risk, and missing image alt text. Return a checklist plus any suggested edits or flagged sentences with reasons and source requests."
- Duplicate/overlap check
"Compare this draft to these existing post titles/URLs: [list]. Return percent-overlap and note sentences that closely mirror existing posts."

Tips to avoid low quality & duplicates
- Always require human QA and one substantive edit before publish.
- Set model temperature low (0–0.3) for predictable output.
- Force sources: ask for URLs and ask ChatGPT to quote exact sentences.
- Run a plagiarism check (Copyscape or a simple site search) before publishing.
- Use an “overlap” prompt to compare the new draft to your site’s index and refuse publish if overlap > 30%.

Best-for / Avoid-if
- Best for: small teams wanting to scale ideation and drafts while keeping humans in the loop.
- Avoid if: you need high-reliability investigative reporting or must meet strict legal/medical standards without expert review.

Practical setup checklist
1) Create a topic intake (Google Sheet or Trello). 2) Build Zap: Trigger -> ChatGPT -> Create WP draft -> Notify editor. 3) Add approval trigger -> Zap updates post to publish/schedule. 4) Add automated plagiarism/fact-check step. 5) Store metadata (post ID, source URLs, editor sign-off). 6) Monitor first 20 posts and iterate prompts.

If you want, start with ChatGPT (recommended) and test one Zap end-to-end; consider Claude if you need very long-context comparison across many site posts.

Compare ChatGPT and Gemini