ChatGPT SEO Content Brief Builder Prompt
Build a complete SEO content brief that guides writers to produce content that ranks — keywords, intent, structure, and differentiation angle.
Category
🔍 SEO
Difficulty
Intermediate
Models
3
Last Updated
2026-06-29
Works with
📄 Example output
⚠️ Common Mistakes
❓ FAQ
⚙️ Fill in your variables
📋 Prompt
You are a senior SEO content strategist who has built briefs for content that has ranked on page 1 for competitive keywords.
Target keyword: [primary keyword]
Search intent: [informational/navigational/commercial/transactional]
Target audience: [who is searching for this]
Content type: [blog post/landing page/comparison/how-to/list post]
Author expertise: [subject matter expert / generalist writer]
Task:
1. KEYWORD STRATEGY: Primary keyword plus 3-5 LSI and semantic keywords to include naturally
2. SEARCH INTENT ANALYSIS: What the searcher actually wants — information, comparison, tool, or decision
3. CONTENT STRUCTURE: H2 and H3 outline based on what currently ranks for this keyword
4. ON-PAGE REQUIREMENTS: Title tag under 60 chars, meta description under 155 chars, URL slug, word count target, reading level, internal link opportunities
5. DIFFERENTIATION ANGLE: What your content will say that the top results do not
6. MUST-INCLUDE ELEMENTS: Images, tables, FAQs, statistics, examples required
7. WHAT TO AVOID: Mistakes that would prevent this from ranking
Target keyword: [primary keyword]
Search intent: [informational/navigational/commercial/transactional]
Target audience: [who is searching for this]
Content type: [blog post/landing page/comparison/how-to/list post]
Author expertise: [subject matter expert / generalist writer]
Task:
1. KEYWORD STRATEGY: Primary keyword plus 3-5 LSI and semantic keywords to include naturally
2. SEARCH INTENT ANALYSIS: What the searcher actually wants — information, comparison, tool, or decision
3. CONTENT STRUCTURE: H2 and H3 outline based on what currently ranks for this keyword
4. ON-PAGE REQUIREMENTS: Title tag under 60 chars, meta description under 155 chars, URL slug, word count target, reading level, internal link opportunities
5. DIFFERENTIATION ANGLE: What your content will say that the top results do not
6. MUST-INCLUDE ELEMENTS: Images, tables, FAQs, statistics, examples required
7. WHAT TO AVOID: Mistakes that would prevent this from ranking
SEO BRIEF: ai prompt engineering guide
KEYWORD STRATEGY:
Primary: ai prompt engineering guide
Semantic: prompt engineering techniques, how to write better AI prompts, ChatGPT prompting tips, Claude prompt examples, few-shot prompting
SEARCH INTENT:
Learner intent — searcher wants practical actionable instruction to apply immediately. NOT looking for academic definitions. Structure accordingly: theory minimum, examples maximum.
CONTENT STRUCTURE:
H1: AI Prompt Engineering Guide 2026 — Techniques That Actually Work
H2: What Is Prompt Engineering? (150 words max — keep short)
H2: The 5 Core Prompt Engineering Techniques
H3: 1. Role Assignment
H3: 2. Context and Constraints
H3: 3. Few-Shot Examples
H3: 4. Chain-of-Thought Prompting
H3: 5. Output Format Specification
H2: Common Prompt Engineering Mistakes
H2: Prompt Engineering by Model: ChatGPT vs Claude vs Gemini
H2: 10 Ready-to-Use Prompt Templates
H2: FAQ
ON-PAGE:
Title: AI Prompt Engineering Guide 2026 — Techniques That Work (55 chars)
Meta: Learn prompt engineering from scratch — 5 core techniques, real examples, and ready-to-use templates for ChatGPT, Claude, and Gemini. (137 chars)
URL: /ai-prompt-engineering-guide
Word count: 2500-3500 words, Reading level: Grade 8-10
DIFFERENTIATION:
Most guides are model-agnostic. Yours differentiates by: side-by-side examples of the same prompt on ChatGPT vs Claude vs Gemini showing different results, 10 copy-paste templates at the end, and a common mistakes section most competitors skip.
MUST INCLUDE:
10+ worked before-and-after examples, comparison table of technique vs use case vs example prompt, FAQ section targeting People Also Ask results
KEYWORD STRATEGY:
Primary: ai prompt engineering guide
Semantic: prompt engineering techniques, how to write better AI prompts, ChatGPT prompting tips, Claude prompt examples, few-shot prompting
SEARCH INTENT:
Learner intent — searcher wants practical actionable instruction to apply immediately. NOT looking for academic definitions. Structure accordingly: theory minimum, examples maximum.
CONTENT STRUCTURE:
H1: AI Prompt Engineering Guide 2026 — Techniques That Actually Work
H2: What Is Prompt Engineering? (150 words max — keep short)
H2: The 5 Core Prompt Engineering Techniques
H3: 1. Role Assignment
H3: 2. Context and Constraints
H3: 3. Few-Shot Examples
H3: 4. Chain-of-Thought Prompting
H3: 5. Output Format Specification
H2: Common Prompt Engineering Mistakes
H2: Prompt Engineering by Model: ChatGPT vs Claude vs Gemini
H2: 10 Ready-to-Use Prompt Templates
H2: FAQ
ON-PAGE:
Title: AI Prompt Engineering Guide 2026 — Techniques That Work (55 chars)
Meta: Learn prompt engineering from scratch — 5 core techniques, real examples, and ready-to-use templates for ChatGPT, Claude, and Gemini. (137 chars)
URL: /ai-prompt-engineering-guide
Word count: 2500-3500 words, Reading level: Grade 8-10
DIFFERENTIATION:
Most guides are model-agnostic. Yours differentiates by: side-by-side examples of the same prompt on ChatGPT vs Claude vs Gemini showing different results, 10 copy-paste templates at the end, and a common mistakes section most competitors skip.
MUST INCLUDE:
10+ worked before-and-after examples, comparison table of technique vs use case vs example prompt, FAQ section targeting People Also Ask results
🏆
💡 Pro Tips
Best model for this prompt
Claude
Claude (Opus 4 / Sonnet 4)
H2 structure should be based on what currently ranks — analyse the top 5 results before prescribing any structure
Search intent matters more than keyword match — mismatched content will never rank for the keyword
Differentiation is essential — content that says the same things as the top results will not displace them
Internal links boost both SEO and time-on-site — identify 3-5 existing articles to link from and to in the brief
Writing a brief without analysing the current SERPs — you must know what already ranks first
Targeting a keyword without confirming intent — mismatched intent is why good content fails to rank
No differentiation angle — content that repeats what is already out there will not displace it
Word count without quality context — 3000 words without specifying what those words should contain produces padding
- How do I find LSI keywords?Free: Google People Also Ask and Related Searches, Search Console for similar pages, AnswerThePublic. Paid: Ahrefs, Semrush. Also: type the primary keyword into Claude or ChatGPT and ask for 10 semantically related terms.
- How long should the content be?Match or beat the average word count of the top 3 ranking pages — but only if additional length adds value. Thin content with excellent targeting often outranks bloated content.
- Best model for content briefs?Claude produces the most analytically rigorous content briefs — better at synthesising what currently ranks and identifying genuine differentiation opportunities.
- How do I find what differentiates?Read the top 5 ranking articles. Note: questions they do not answer, what is outdated, where they are vague where you could be specific, what format you could improve. The gaps are your differentiation.