Template Sections
8Modules
Optimization Level
SEO-Ready Structure
01
Core Content Intelligence
The high-level strategy that dictates the piece's performance within the Amazon seller ecosystem.
Instructions
1. Target Primary Keyword: High-alignment term for Amazon sellers (e.g., 'Amazon FBA Profit Calculator'). 2. Secondary Keywords: 5-7 semantic/LSI terms related to Amazon seller pain points (e.g., 'FBA fees breakdown', 'inventory management ROI', 'Amazon PPC profitability'). 3. Target Word Count: Specify based on SERP depth and complexity of the topic for Amazon sellers (typically 2,000-4,000 words for comprehensive guides). 4. Reading Level: Aim for 7th-8th grade for broad accessibility among sellers, avoiding overly technical jargon unless defined.
Example Output
"Primary: 'Amazon FBA Fee Calculator'. Word Count: 3,000. Reading Level: Accessible professional."
02
Primary Intent & Tone Palette
Defining the psychological 'Vibe' and core purpose of the article for Amazon sellers.
Instructions
Select one: 'Informational' (Educational guides on Amazon strategies), 'Commercial' (Comparison of tools/services for sellers), or 'Transactional' (Feature-led for a specific software/tool). Define the tone: 'Experienced Seller Mentor' (guides with practical, hard-won advice), 'Data Analyst' (focuses on metrics and ROI), or 'Problem Solver' (directly addresses specific seller challenges).
Example Output
"Intent: Informational. Tone: Experienced Seller Mentor (sharing direct experience and actionable tips)."
03
The Persona & 'Job-to-be-Done'
Ensuring the content resonates with a specific, high-intent Amazon seller.
Instructions
Define the target persona (e.g., 'New Amazon FBA Seller', 'Established 6-figure Seller struggling with scaling'). State their JTBD: 'I need to accurately calculate my FBA product profitability to make informed inventory and pricing decisions.' List 3 core anxieties they feel about this topic: 1. Hidden Amazon fees eating profits, 2. Underestimating shipping costs, 3. Difficulty forecasting cash flow.
Example Output
"Persona: Amazon Private Label Seller. JTBD: Optimize my ad spend for better ACOS. Anxieties: 1. Wasting money on ineffective keywords, 2. Competitors outbidding me, 3. Amazon algorithm changes impacting ad visibility."
04
Competitive Knowledge Gaps
Identifying what competitors missed to ensure this content is 10x better for Amazon sellers.
Instructions
Analyze the top 3 ranking pages for the primary keyword. What are they not saying? (e.g., they don't detail the impact of Amazon's new storage tier fees, or they lack a clear formula for calculating landed cost). Define our 'Unique Value Add': A proprietary Amazon fee breakdown spreadsheet, a real-time profit calculator integration, or a contrarian take on a popular Amazon strategy.
Example Output
"Gap: Competitors offer basic fee calculators; we provide a detailed breakdown including referral fees, FBA fulfillment fees, monthly storage, long-term storage, and even potential return processing fees. Value: Free 'Amazon Profitability Deep Dive' calculator tool."
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05
CTR-Optimized Title & Meta Architecture
Defining the 'Hooks' that drive Amazon sellers from the SERP to the page.
Instructions
Provide 4 title options: 1. Authority (e.g., 'The Definitive Guide to Amazon FBA Fees in 2024'), 2. Listicle (e.g., '7 Hidden Amazon Fees That Kill Your Profit'), 3. Question (e.g., 'Are You Really Profitable? Calculate Your True Amazon FBA Costs'), 4. Benefit (e.g., 'Unlock Higher Profits: Master Your Amazon FBA Fees'). Meta must be < 155 chars with a 'Click-trigger' (e.g., 'Includes Free Calculator').
Example Output
"Title: 'Amazon FBA Profit Calculator: Uncover ALL Fees & Maximize Earnings'. Meta: 'Stop guessing your Amazon FBA profits. Use our comprehensive calculator to master fees, storage costs, and boost your net earnings. Free tool included.'"
06
Semantic Pillar Outline (H2/H3)
The structural backbone that satisfies both users (Amazon sellers) and LLM crawlers.
Instructions
Map H2s to 'Search Intent stages' relevant to Amazon sellers. Use H3s for granular steps. Every H2 must contain at least one bolded 'Direct Answer' for Featured Snippet capture (e.g., **Amazon referral fees are typically 8-15% of the selling price.**).
Example Output
"H2: Understanding Amazon Referral Fees; H3: Referral Fee Structure by Category; H2: Mastering FBA Fulfillment Fees; H3: Calculating Per-Unit Shipping Costs."
07
AEO & Machine-First Optimization
Ensuring visibility in AI Search snapshots and LLM responses for Amazon seller queries.
Instructions
1. Format all lists with proper <ul> tags (e.g., list of fees, steps in a process). 2. Use 'Entity Triplets' (Subject-Predicate-Object) relevant to Amazon selling (e.g., 'Amazon-Seller-Fees', 'Calculate-Profitability', 'FBA-Inventory-Limits'). 3. Include an FAQ section with 3-5 high-volume questions Amazon sellers ask (e.g., 'What is the average Amazon FBA fee?'). 4. Bold specific 'Data Facts' and key figures.
Example Output
"FAQ: 'How much are Amazon FBA storage fees?'. Answer: 'Amazon FBA storage fees vary by size and weight, with standard-size monthly fees typically ranging from $0.48 to $3.57 per cubic foot, and dangerous goods fees are higher.' (Bold this fact)."
08
Conversion Bridge & CTA
Connecting helpful advice to your actual product/service solution for Amazon sellers.
Instructions
Identify the 'Natural Insertion Point' for the product/service within the content. Choose a CTA that matches the intent: 'Download Amazon Fee Spreadsheet' for ToFu, 'Start Free Trial of [Your Software]' for BoFu, or 'Request a Demo of [Your Service]' for MoFu.
Example Output
"Insertion: Mention our inventory management software's automated fee tracking features in the 'Managing Long-Term Storage Fees' section. CTA: 'Automate your Amazon fee calculations – Start your 14-day free trial.'"
Pro Tips & Insights
01
A content brief for Amazon sellers is a 'Blueprint' for capturing high-intent traffic by directly addressing their financial and operational challenges. Vague briefs lead to content that doesn't connect with seller realities.
02
The 'Unique Value Add' is crucial for differentiating from generic Amazon advice. If an AI can synthesize the information without specific data or tools, your content won't stand out to serious sellers.
03
Search Intent for Amazon sellers often blends informational needs with a strong desire for tools that save time and increase profit. Great briefs pivot the reader towards solutions that solve immediate financial pain points.
04
LLMs favor structured, factual data. Use clear tables, bulleted lists of fees, and precise calculations to make your content easily extractable as authoritative information by AI models, increasing its chances of being featured.
