Ultimate General SEO Writer
Ultimate General SEO Writer
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Description
This is perhaps the best SEO article writing skill. With this skill, you can ensure your articles comply with the E-E-A-T framework and avoid fabrication. You need to provide product information and competitor articles. (Below is an AI-written detailed introduction.) This general SEO batch writing skill can help you transform a competitor's article library into 10 original, high-quality SEO posts for any product or service: It automatically scans and scores all articles in your current section, filters top references, avoids repeating already published topics, builds a clear 10-article strategy matrix (including keywords, intent, unique perspectives, and natural product mentions), and then generates HTML articles ready for WordPress, which follow Google's E-E-A-T principles and on-page SEO best practices—each article comes with a built-in quality assessment report at the end.
Recommended by
nene@YouMind
Why we love this skill
Analyzing competitor article libraries, this skill generates high-quality, E-E-A-T-compliant SEO articles integrating your product features. It filters best competitor content, avoids topic duplication, and outputs WordPress-friendly HTML—ideal for batch professional SEO content.
Instructions
# Universal SEO Batch Writing Skill (English Version)
## Skill Overview
This Skill is designed to generate **high-quality, original, EEAT-compliant SEO articles** for **any product or service**, using a competitor article library in the current Board.
It can:
* Automatically select **10 best competitor SEO articles** from the current Board as references
* Intelligently avoid **topic overlap** with your existing articles
* Deeply integrate **your product's unique features, data, and positioning**
* Follow **Google EEAT** principles and pass originality checks
* Run a built-in **Quality Assurance system** to ensure each article meets standards
* Output **WordPress-ready HTML** (copy-paste into WP backend)
---
# Required Inputs (You Provide)
## Input A: Product Information (Required)
Provide a structured product brief including:
* Product name / brand name
* What it is (category + use case)
* Target audience
* Core value proposition (3–5 bullets)
* Key features (5–10 bullets)
* Pricing model (ranges, plans, tiers)
* Coverage / availability (countries, channels, platforms, industries, etc.)
* Proof/data (metrics, user growth, savings, performance, NPS, case studies, testimonials)
* Competitive advantages vs alternatives
* Limitations / constraints / best-fit scenarios (for trustworthiness)
* Internal pages you want to link to (pricing page, product page, blog posts, etc.)
> If not fully provided, the Skill should use `searchBoards` or `googleSearch` to supplement.
## Input B: Competitor SEO Library (Required)
Your current Board should contain competitor SEO articles as materials.
---
# PHASE 1: Competitor Article Intelligence Selection
## STEP 1.1: Scan All Articles in the Board
Actions:
1. Use `listBoard` to retrieve all materials in the current Board
2. Use `read` to read key information from each article (first 500 lines)
3. Extract:
* Topic / keywords
* Content type (Guide / Comparison / Review / Tutorial, etc.)
* Word count
* Structure quality (H2/H3 hierarchy, data density, table usage)
* Target audience
* Unique angle
* Search intent (Informational / Commercial / Transactional)
## STEP 1.2: Article Quality Scoring (0–100)
**Content Quality (40)**
* Depth and completeness (15)
* Data/examples richness (10)
* Structural clarity (10)
* Actionability (5)
**SEO Optimization (30)**
* Clear keyword strategy (10)
* Title + structure optimization (10)
* Internal/external links usage (5)
* Readability/UX (5)
**Uniqueness (20)**
* Unique insights, data, framing (10)
* Potential to be rewritten into “product-aware” content (10)
**Fit (10)**
* Ease of integrating product value naturally (10)
## STEP 1.3: Select Top 10 Articles (Balanced Coverage)
Selection rules:
1. Take the top 15 by score
2. Filter down to 10 while ensuring:
* Topic diversity (max 2 per broad topic cluster)
* Search intent coverage:
* 3–4 informational
* 4–5 commercial
* 1–2 transactional
* Strong relevance to the product's core use cases
* Natural opportunities to integrate product value
## STEP 1.4: Topic Duplication Check (Avoid Existing Topics)
If the Board already contains articles about your product:
1. Use `searchBoards` with keywords:
* Product name, brand name
* category keyword(s)
* Primary use-case keyword(s)
2. Extract existing topics and keywords
3. Remove overlapping topics from Top 10
4. Replace with new topics from the candidate pool
**Output:**
**Top 10 competitor article list** + **why they were selected**
---
# PHASE 2: Deep Product Analysis (Generic Template)
## STEP 2.1: Extract Product Core Assets
From product info (or via `searchBoards` / `googleSearch`):
**Positioning**
* What the product is (category + function)
* Core value proposition
* Target users
**Features**
* Key feature set
* Onboarding / setup flow
*Compatibility/requirements
* Support / SLA
* Unique differentiators (features competitors don't have)
**Proof & Data (EEAT critical)**
* Users / growth metrics
* Satisfaction metrics (NPS, rating, churn)
* Performance metrics (speed, uptime, results, ROI)
* Cost-saving % or time-saving metrics
* Case studies / testimonials (at least 2)
**Competitive Landscape**
Compare against:
* The default alternative (do nothing/manual)
* Traditional solutions in the category
* Direct competitors
* DIY substitute tools / free methods
## STEP 2.2: Build a Use-Case Library (10+ Scenarios)
Create 10+ “user scenarios” relevant to any product.
Example universal scenario patterns:
1. Beginners onboarding (first-time user)
2. Budget-conscious user
3. Power users/advanced workflows
4. Teams and collaboration
5. Enterprise compliance/security needs
6. High-frequency usage/scalability
7. Multi-region/multi-platform usage
8. Time-sensitive/emergency need
9. Switching from an incumbent competitor
10. Seasonal or campaign-based usage
11. Integration with other tools
12.Performance optimization/cost reduction
Each scenario must include:
* Pain point
* Product solution
* Supporting data (pricing, ROI, benchmark, time saved, etc.)
---
# PHASE 3: 10-Article Strategy Matrix Generation
Use the selected competitor articles to create a rewrite plan:
plaintext
| # | Source Topic | New Topic (Product-Aware Angle) | Primary Keyword | Secondary Keywords | Search Intent | Unique Angle | Product Integration Points | EEAT Plan | Word Count |
|---|-------------|----------------------------------|----------------|-------------------|--------------|-------------|----------------------------|------------|-----------|
| 1 | [topic] | [rewritten topic] | [keyword] | [5 keywords] | INFO | [angle] | [2-3 scenarios] | [strategy] | 2000 |
```
Each article must explicitly define:
1. **Topic transformation logic**
Example: “Best Travel Apps” → “Best Travel Apps for [specific product users]”
or “How to do X” → “How to do X with [product] (with alternatives comparison)”
2. **Unique angle to prevent plagiarism**
* Add product-exclusive data + examples
* Reframe content from the user's perspective
* Add missing scenarios/pain points
* Provide actionable steps/checklists
* Introduce a proprietary framework (eg, “3-layer decision model”)
3. **Product integration points** (2–3 natural placements)
* In the solution section
* In the comparison table
* In user story / case study
* Do NOT hard-sell in intro and conclusion
4. **EEAT plan**
* Experience: real cases, hands-on results
* Expertise: technical explanation, best practices
*Authority: cite credible sources
* Trust: transparent comparisons + limitations
---
# PHASE 4: Batch Writing (10 Articles)
## Anti-Plagiarism Rules
### 🚫 Forbidden
* Direct translation of sentences
* Keeping unique metaphors/phrases from competitor content
* Copying paragraph order and section flow
* Reusing competitor headline phrasing
*Copying competitor private data
### ✅ Mandatory
* Re-think from the product user perspective
* Rebuild structure and order from scratch
* Add product-exclusive proof/data (min 3)
* Add 3+ new scenarios/examples not in source
* Use different headline logic and phrasing
* Provide step-by-step guides/checklists
## Universal WordPress HTML Article Template
(Keep your original template, replace RedEX with [PRODUCT_NAME], and change the eSIM-specific semantics to product-aware semantics.)
* `esim-content` → `product-content`
* “eSIM users” → “[product] users” / “users in this category”
* Table column: RedEX eSIM → `[PRODUCT_NAME]`
You can directly use your original HTML template, only needing to replace variables and generalize the semantic meaning of the text.
---
# PHASE 5: Built-in QA System (Universal)
After each article, run:
## ✅ Originality (Anti-Plagiarism)
* H2/H3 fully rewritten
* Structure order redesigned
* Adds 3+ new scenarios
* No 5 consecutive words match competitor (except public data)
* Adds ≥3 product-exclusive data points
* Adds ≥2 missing subtopics (H3) not present in competitor
## ✅ EEAT Score (≥85/100)
Same scoring logic as your original(Experience/Expertise/Authority/Trust)
## ✅ Technical SEO Checklist
Same as your original(Title/meta/url/h1/h2/kw density/links/FAQ/table/readability)
## ✅ Product Integration Check
* Product mentions ≤3 times (excluding FAQ)
* Every mention solves a concrete problem
* Includes specific proof/data
* No pushy promotion in intro/conclusion
*Mentions limitations honestly
---
# PHASE 6: Output Format
## Output Strategy Matrix First (For Approval)
```markdown
#Universal SEO Batch Production Strategy
## Selected 10 Competitor Articles
| # | Source Title | Quality Score | Reason |
|---|-------------|--------------|--------|
| 1 | [Title] | 92/100 | [Reason] |
...
## 10-Article Strategy Matrix
[Full table]
## EEAT Implementation Strategy
- Experience: ...
- Expertise: ...
- Authoritativeness: ...
- Trustworthiness: ...
## Originality Safeguards
1. ...
2. ...
---
**Proceed to writing?** (Type "Start writing" or suggest edits)
```
## After Approval: Output 10 Full WordPress HTML Articles + QA Report
(Keep your existing “Article + QA report” packaging exactly.)
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Information
- Version
- v1
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto