The GPTMap editorial checklist: 12 steps to a publishable OpenAI article

The GPTMap editorial handbook is an internal playbook that breaks the lifecycle of an OpenAI article into 12 verifiable steps. The goal is to ship content that stays citable for years, not days.

1. Overview

Writing a publishable long-form article is more than typing. This is the GPTMap editorial workflow: topic, research, draft, citations, SEO, GEO, EEAT, versioning, review, publish, post-launch monitoring.

2. Key points

• Pick a topic from the PRD and search logs — never write 'What is X'
• First-hand test every official example; record parameters, errors, screenshots, model version
• Structure: TL;DR + key points + steps + FAQ + official references; H2/H3 template is fixed
• Every claim links to an official source tagged with type (docs / paper / changelog)
• EEAT: author, lastTestedAt, openaiVersion are required; rerun tests every 6 months

3. How it works

The sections below unpack each point. Skim alongside the OpenAI documentation for full context.

4. Practical steps

1. Define 'done' up front — what does success look like?
2. Pick the right model using the comparison above.
3. Run the minimal example end to end; record parameters and the model version.
4. Integrate into your existing code.
5. Monitor logs and failure modes; review weekly.

5. Common errors and fixes

• 401: invalid or expired API key — rotate it.
• 429: rate limit hit — enable exponential backoff retries.
• 400: bad request — verify the model name and messages shape.
• Poor quality output: try a different model, add few-shot examples, trim the prompt.

6. Next steps

Once you are comfortable here, continue with:

• ChatGPT Complete Guide (2026): From Beginner to Expert
• Prompt Engineering Core Patterns: 8 Templates That 2x GPT Output
• OpenAI API Beginner: Your First GPT-5.6 Call