Recommendation:
Use a small set of structured prompts in sequence: 1) extract search intent from seed keyword + SERP snippets, 2) extract and prioritize target keywords (include volume/CTR data if you have it), 3) produce an SEO-aligned long-form outline with headings, word-counts, internal links, and schema suggestions. Start with ChatGPT as the drafting engine and feed it your actual SERP and keyword metrics so outputs are data-driven.

Decision criteria (which workflow to use):
- Use this full sequence when you need scalable outlines for long-form posts and have SERP/keyword data available.
- Skip heavy data steps if you’re ideating or on a tight budget: use a single combined prompt instead.
- Bring in an SEO tool (Ahrefs/SEMrush/GSC) if you require exact volumes, trends, or competitive gap analysis — ChatGPT won’t fetch live metrics for you.
- Team size/skill: small teams can use concise prompts; larger content teams should standardize the prompt templates and enforce the checklist.

Example prompts (paste below each prompt: seed keyword, top 5 SERP titles+meta snippets, and optional keyword CSV):
1) Extract Search Intent
Prompt: "Given this seed keyword: {keyword} and these top-5 SERP title/meta snippets: {paste}, classify primary search intent (informational, transactional, navigational, commercial investigation). Explain the top 3 user questions behind the query and the user’s expected content format, depth, and examples they want. Keep answers concise (3 bullets each)."
Why: isolates intent so outlines match user needs rather than your assumptions.

2) Prioritize Target Keywords
Prompt: "Using this keyword list with optional metrics (volume, KD, CTR): {paste}, create three priority groups: Primary (1–2), Secondary (5–10), Supporting (long-tail & question keywords). For each primary/secondary keyword, suggest searcher intent and a 1-line internal anchor text idea. If metrics are missing, prioritize by relevance and intent."
Why: gives a clear keyword hierarchy for headings and H2/H3 placement.

3) Data-driven Long-form Outline
Prompt: "Create a detailed long-form outline for target keyword {primary keyword}. Use the search intent and prioritized keywords above. Return: (A) SEO title and meta description (B) Suggested URL slug (C) H1, and H2/H3 headings in order with recommended word counts per section, target keywords to include, suggested internal links (page slugs), and a simple FAQ (schema-ready Q&A). Also include 3 suggested multimedia types and suggested CTAs. Keep total word-count target: {X} words."
Why: produces directly actionable outlines that map to your SEO checklist.

Practical checklist to enforce after generation:
- Confirm primary intent matches H1 and intro paragraph.
- Ensure primary keyword appears in title, H1, first 100 words, and meta description.
- Assign word-counts per section to hit total target.
- Map 3 internal links and 1 external authoritative citation.
- Add 3 FAQs from outline for schema.
- Run a quick keyword density and readability check.

Best-for / Avoid-if:
- Best for: teams who can paste SERP snippets and keyword exports into prompts; produces consistent outlines fast.
- Avoid if: you need live search volumes fetched by the model or want automated crawling — use an SEO tool for that step.

If you want, I can convert these into copy-and-paste-ready prompt templates for ChatGPT tailored to your specific SEO checklist and target word counts.

Compare ChatGPT and Gemini