ChatGPT workflow for long-form SEO articles

Recommendation
Use a structured, repeatable 6-stage ChatGPT workflow: Research -> Outline -> Section Drafting (chunked) -> References & Fact‑check -> SEO Polishing -> Editorial QA. For higher factual rigor, run the draft through a second model (Claude) or a retrieval/ browsing layer before publishing.

Decision criteria (pick approach by need)
- Budget: single-model ChatGPT workflow is fastest/cheapest. Add retrieval/browsing or a second model when cost allows.
- Skill level: beginners follow the exact prompts below; experienced writers can skip some prompt scaffolding and tighten revision cycles.
- Workflow stage & team size: solo writers can draft+revise; editorial teams should split steps (researcher, writer, editor) and use chunked outputs to parallelize.
- Output quality required: factual, reference-heavy pieces need retrieval + human fact-checking; opinion/evergreen pieces can accept fewer external citations.

Practical checklist — reproducible step list (copyable)
1) System prompt (set persona and constraints)
- System: "You are a professional SEO content writer and editor. Produce factual, well-sourced long-form articles, structured with H1–H3 headings, in neutral tone. Always include numbered inline references (e.g., [1]) and a references section at the end with URLs. Use US spelling unless told otherwise."

2) Stage 1 — Seed research & keyword framing (short prompt)
- Prompt: "Given target keyword: [PRIMARY KEYWORD], provide: search intent, top 5 competitor titles, 10 relevant LSI keywords, user questions (from People Also Ask). Keep compact."
- Action: Save outputs as the content brief.

3) Stage 2 — Detailed outline (ask for SEO structure)
- Prompt: "Create a detailed outline for a 2,500+ word article based on this brief. For each section include target word range, primary subtopics, target phrases, and 1 suggested internal link anchor. Prioritize user intent sections."
- Action: Approve or edit outline before drafting.

4) Stage 3 — Chunked drafting (avoid token limits; keep reviewable chunks)
- For each H2: Prompt: "Write section [H2 title] — 300–500 words — factual, scannable (bullets, short paragraphs), include 1–3 inline references numbered. Use target phrases: [...]."
- Action: Generate sections one at a time, review for accuracy, tone, keywords.

5) Stage 4 — Consolidate & add references
- Prompt: "Combine sections into a single draft, add an intro (200–300 words) and conclusion, and produce a numbered References list with full URLs matching inline refs."
- Action: If ChatGPT lacks browsing, replace placeholders with actual URLs from your research tool or run the draft through Claude or a browsing-enabled tool to attach real source URLs.

6) Stage 5 — SEO polish
- Prompt: "Create meta title (50–60 chars), meta description (130–160 chars), suggested slug, 3 alt texts for images, 5 internal link suggestions, semantic FAQs (with short answers). Optimize headings for target keywords."

7) Stage 6 — Editorial QA checklist (final pass — human + model)
- Use both model and human check: run prompts to identify factual claims, then verify sources.

Editorial checklist (use before publishing)
- Word count confirmed (2,500+ words)
- All inline references have live URLs and date accessed
- Headings use target keywords naturally
- Meta title & description optimized
- Internal links added and live
- Images + alt text present
- Readability: paragraph length, bulleted lists, H2/H3 balance
- No hallucinated facts (manual or automated verification)
- Schema: add Article schema if needed

Best-for / Avoid-if
- Best for: teams producing regular SEO longform, editors who can fact‑check.
- Avoid if: you must guarantee primary-source accuracy without a retrieval step—then add browsing or human research.

Notes on tools
- ChatGPT: default central tool for drafting and iterative revision (cta: ChatGPT). For more careful long‑context analysis and multi-document cross‑checks, consider Claude as a secondary pass.

If you want, I can convert the checklist into a single-click prompt pack (system + outline + section prompts) you can paste into ChatGPT to run the workflow end-to-end.

Compare ChatGPT and Gemini