Content Creator
Professional-grade brand voice analysis, SEO optimization, and platform-specific content frameworks.
Table of Contents
Keywords
content creation, blog posts, SEO, brand voice, social media, content calendar, marketing content, content strategy, content marketing, brand consistency, content optimization, social media marketing, content planning, blog writing, content frameworks, brand guidelines, social media strategy
Clarify First
Before creating the content, confirm these inputs. If any is unknown or vague, ASK — do not assume:
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
Quick Start
Brand Voice Development
- Run
scripts/brand_voice_analyzer.py on existing content to establish baseline
- Review
references/brand_guidelines.md to select voice attributes
- Apply chosen voice consistently across all content
Blog Content Creation
- Choose template from
references/content_frameworks.md
- Research keywords for topic
- Write content following template structure
- Run
scripts/seo_optimizer.py [file] [primary-keyword] to optimize
- Apply recommendations before publishing
Social Media Content
- Review platform best practices in
references/social_media_optimization.md
- Use appropriate template from
references/content_frameworks.md
- Optimize based on platform-specific guidelines
- Schedule using
assets/content_calendar_template.md
Core Workflows
Workflow 1: Establish Brand Voice (First Time Setup)
For new brands or clients:
Step 1: Analyze Existing Content (if available)
python scripts/brand_voice_analyzer.py existing_content.txt
Step 2: Define Voice Attributes
- Review brand personality archetypes in
references/brand_guidelines.md
- Select primary and secondary archetypes
- Choose 3-5 tone attributes
- Document in brand guidelines
Step 3: Create Voice Sample
- Write 3 sample pieces in chosen voice
- Test consistency using analyzer
- Refine based on results
Workflow 2: Create SEO-Optimized Blog Posts
Step 1: Keyword Research
- Identify primary keyword (search volume 500-5000/month)
- Find 3-5 secondary keywords
- List 10-15 LSI keywords
Step 2: Content Structure
- Use blog template from
references/content_frameworks.md
- Include keyword in title, first paragraph, and 2-3 H2s
- Aim for 1,500-2,500 words for comprehensive coverage
Step 3: Optimization Check
python scripts/seo_optimizer.py blog_post.md "primary keyword" "secondary,keywords,list"
Step 4: Apply SEO Recommendations
- Adjust keyword density to 1-3%
- Ensure proper heading structure
- Add internal and external links
- Optimize meta description
Workflow 3: Create Social Media Content
Step 1: Platform Selection
- Identify primary platforms based on audience
- Review platform-specific guidelines in
references/social_media_optimization.md
Step 2: Content Adaptation
- Start with blog post or core message
- Use repurposing matrix from
references/content_frameworks.md
- Adapt for each platform following templates
Step 3: Optimization Checklist
- Platform-appropriate length
- Optimal posting time
- Correct image dimensions
- Platform-specific hashtags
- Engagement elements (polls, questions)
Workflow 4: Plan Content Calendar
Step 1: Monthly Planning
- Copy
assets/content_calendar_template.md
- Set monthly goals and KPIs
- Identify key campaigns/themes
Step 2: Weekly Distribution
- Follow 40/25/25/10 content pillar ratio
- Balance platforms throughout week
- Align with optimal posting times
Step 3: Batch Creation
- Create all weekly content in one session
- Maintain consistent voice across pieces
- Prepare all visual assets together
Tools
Brand Voice Analyzer
Analyzes text content for voice characteristics, readability, and consistency.
Usage:
# Human-readable output
python scripts/brand_voice_analyzer.py content.txt
# JSON output for integrations
python scripts/brand_voice_analyzer.py content.txt json
Parameters:
| Parameter |
Required |
Description |
file |
Yes |
Path to content file |
format |
No |
Output format: text (default) or json |
Output:
- Voice profile (formality, tone, perspective)
- Readability score (Flesch Reading Ease)
- Sentence structure analysis
- Improvement recommendations
SEO Optimizer
Analyzes content for SEO optimization and provides actionable recommendations.
Usage:
# Basic analysis
python scripts/seo_optimizer.py article.md "main keyword"
# With secondary keywords
python scripts/seo_optimizer.py article.md "main keyword" "secondary,keywords,list"
# JSON output
python scripts/seo_optimizer.py article.md "keyword" --json
Parameters:
| Parameter |
Required |
Description |
file |
Yes |
Path to content file (md or html) |
primary_keyword |
Yes |
Main target keyword |
secondary_keywords |
No |
Comma-separated secondary keywords |
--json |
No |
Output in JSON format |
Output:
- SEO score (0-100)
- Keyword density analysis
- Structure assessment
- Meta tag suggestions
- Specific optimization recommendations
Reference Guides
When to Use Each Reference
references/brand_guidelines.md
- Setting up new brand voice
- Ensuring consistency across content
- Training new team members
- Resolving voice/tone questions
references/content_frameworks.md
- Starting any new content piece
- Structuring different content types
- Creating content templates
- Planning content repurposing
references/social_media_optimization.md
- Platform-specific optimization
- Hashtag strategy development
- Understanding algorithm factors
- Setting up analytics tracking
references/analytics_guide.md
- Tracking content performance
- Setting up measurement frameworks
- Creating performance reports
- Attribution modeling
Best Practices
Content Creation Process
- Start with audience need/pain point
- Research before writing
- Create outline using templates
- Write first draft without editing
- Optimize for SEO
- Edit for brand voice
- Proofread and fact-check
- Optimize for platform
- Schedule strategically
Quality Indicators
- SEO score above 75/100
- Readability appropriate for audience
- Consistent brand voice throughout
- Clear value proposition
- Actionable takeaways
- Proper visual formatting
- Platform-optimized
Common Pitfalls to Avoid
- Writing before researching keywords
- Ignoring platform-specific requirements
- Inconsistent brand voice
- Over-optimizing for SEO (keyword stuffing)
- Missing clear CTAs
- Publishing without proofreading
- Ignoring analytics feedback
Integration Points
This skill works best with:
- Analytics platforms - Google Analytics, social media insights for tracking (see
references/analytics_guide.md)
- SEO tools - For keyword research and competitive analysis
- Design tools - Canva, Figma for visual content
- Scheduling platforms - Buffer, Hootsuite for content distribution
- Email marketing systems - For newsletter content campaigns
Troubleshooting
| Problem |
Likely Cause |
Solution |
| SEO score is low despite keyword inclusion |
Keywords present but not in strategic positions (title, H1, first paragraph, H2s) |
Place primary keyword in the first paragraph, at least one H2, and the page title. Keyword density alone is no longer a ranking factor -- placement and natural integration matter more in 2026 |
| Brand voice analyzer shows inconsistent results across content |
Multiple authors writing without shared voice guidelines |
Establish a baseline by running brand_voice_analyzer.py on your best-performing content. Document the formality score, tone, and perspective as your target profile. Have all authors reference this baseline |
| Content ranks initially then drops |
Thin content or lack of E-E-A-T signals |
Google's December 2025 core update and helpful content system penalize shallow content. Add first-person experience, original data (3+ fresh statistics per 1,000 words), expert quotes, and case studies. Content must demonstrate Experience that AI cannot replicate |
| AI-generated content flagged or not ranking |
Unedited AI output lacking human oversight, expertise, or originality |
Google does not penalize AI-assisted content per se, but mass-produced AI content without human review, original perspective, or expertise signals will underperform. Always add personal experience, proprietary data, and fact-checked claims. Layer in E-E-A-T signals: author bylines with credentials, cited sources, real examples |
| SEO optimizer recommends increasing keyword density above 3% |
Legacy recommendation conflicting with current best practice |
Override any density target above 2%. A 2026 study of 1,500+ Google results found no correlation between keyword density and ranking. Pages in the top 10 have 50% lower keyword density than two years ago. Focus on topical coverage and semantic relevance instead |
| Content not winning featured snippets |
Missing concise answer format near the top of the page |
Provide a 2-3 sentence direct answer to the core question within the first 120-150 words. Use short paragraphs (2-4 sentences), bulleted lists, and clear H2/H3 subheadings. Featured snippets have 42.9% CTR -- the highest of any SERP feature |
| Social media content underperforming despite good blog content |
Direct copy-paste without platform adaptation |
Each platform requires format-specific adaptation. LinkedIn favors 1,300-character posts with carousel documents (21.77% median engagement rate). Instagram prioritizes visual-first carousel posts. TikTok requires short-form video. Use the repurposing matrix in references/content_frameworks.md |
Success Criteria
- SEO Score: Achieve 75+/100 on the SEO optimizer for all published content. Top-performing content averages 80-90. Track scores before and after optimization to measure improvement
- Content Length: Target 1,500-2,500 words for comprehensive blog posts. Top-10 Google results average 1,447 words; position-1 results average 1,890 words. Content over 3,000 words wins 3x more traffic and 4x more shares but requires strong structure
- Keyword Placement: Primary keyword must appear in the page title, first paragraph, and at least one H2. Keyword density between 1-2% (not higher). Secondary keywords should appear naturally throughout with no forced repetition
- Readability: Target Flesch Reading Ease score of 60-70 for general audiences (8th-9th grade level). B2B technical content can target 40-55. Sentence variety should be rated "medium" or "high" by the brand voice analyzer
- E-E-A-T Compliance: Every piece of content must include at least one first-person experience element, 3+ cited statistics per 1,000 words, and author attribution with relevant credentials. This is non-negotiable for ranking in 2026 following Google's helpful content updates
- Brand Voice Consistency: Maintain consistent formality, tone, and perspective scores across all content pieces as measured by
brand_voice_analyzer.py. Variance of more than 15 points in formality score between pieces indicates inconsistency
- Content Calendar Adherence: Follow the 40/25/25/10 content pillar ratio (educational/thought leadership/product/promotional). Publish at minimum 2-4 blog posts per month and 5-7 social posts per week across primary platforms
Scope & Limitations
In Scope:
- Brand voice analysis: formality scoring, tone detection, perspective analysis, readability (Flesch Reading Ease), sentence structure analysis
- SEO content optimization: keyword density, content structure evaluation, meta tag suggestions, heading analysis, link audit, SEO score (0-100)
- Content framework guidance via reference documents (blog templates, social media formats, email structures)
- Content calendar planning and platform-specific optimization guidance
Out of Scope:
- AI content generation (this skill analyzes and optimizes content, it does not generate it)
- Keyword research and search volume data (use dedicated SEO tools like Ahrefs, SEMrush, or Moz, or the app-store-optimization skill for mobile)
- Image or video creation and optimization (use design tools like Canva or Figma)
- Social media scheduling and publishing (use Buffer, Hootsuite, or native platform tools)
- Backlink analysis and link building (requires external SEO tools)
- Real-time SERP tracking or rank monitoring
- AI content detection scoring (Google does not penalize AI content by detection alone; focus on quality signals instead)
Integration Points
| Integration |
Purpose |
How to Connect |
| Google Search Console |
Monitor indexing, search queries, CTR, and position data |
Use Search Console data to identify underperforming pages, then run seo_optimizer.py to diagnose and fix issues. Track position changes after optimization |
| Google Analytics 4 (GA4) |
Content performance measurement, engagement metrics |
Measure page views, time on page, bounce rate, and conversions per content piece. Feed insights back into content strategy decisions |
| SEO Tools (Ahrefs, SEMrush, Moz) |
Keyword research, backlink data, competitive analysis |
Export target keywords from SEO tools to use as input for seo_optimizer.py. Use competitive gap analysis to inform content topics |
| CMS Platforms (WordPress, Webflow, Ghost) |
Content publishing and meta tag implementation |
Apply meta tag suggestions from seo_optimizer.py directly to CMS fields. Implement heading structure recommendations in post editor |
| social-media-analyzer skill |
Social content performance tracking |
Analyze which content formats and topics perform best on social, then use findings to inform content creation priorities |
| campaign-analytics skill |
Content ROI measurement |
Track content-attributed conversions through campaign analytics. Identify which content pieces drive the most pipeline or revenue |
| app-store-optimization skill |
App description writing |
Apply SEO writing principles and brand voice consistency to app store descriptions using shared voice guidelines |
Tool Reference
brand_voice_analyzer.py
Type: CLI script (positional arguments, no argparse flags)
Usage:
python brand_voice_analyzer.py <file> [format]
| Argument |
Position |
Required |
Default |
Description |
file |
1st |
Yes |
-- |
Path to text content file to analyze |
format |
2nd |
No |
text |
Output format: text (human-readable) or json (machine-readable) |
Output Fields:
word_count -- Total words in content
readability_score -- Flesch Reading Ease (0-100). Below 30 = difficult, 30-60 = moderate, 60-70 = standard, 70+ = easy
voice_profile -- Per-dimension analysis:
formality -- Dominant: formal or casual (based on keyword matching)
tone -- Dominant: professional or friendly
perspective -- Dominant: authoritative or conversational
sentence_analysis -- Average sentence length (words), variety (low/medium/high), total count
recommendations -- Actionable suggestions for readability, sentence variety, and voice consistency
seo_optimizer.py
Type: CLI script (positional arguments with one optional flag)
Usage:
python seo_optimizer.py <file> [primary_keyword] [secondary_keywords] [--json]
| Argument |
Position/Flag |
Required |
Default |
Description |
file |
1st |
Yes |
-- |
Path to content file (markdown or HTML) |
primary_keyword |
2nd |
No |
None |
Main target keyword for density and placement analysis |
secondary_keywords |
3rd |
No |
None |
Comma-separated secondary keywords (e.g., "seo,content,optimization") |
--json |
Flag |
No |
text output |
Output raw JSON instead of human-readable format |
Output Fields:
optimization_score -- Overall SEO score (0-100). Scoring: content length (20 pts), keyword optimization (30 pts), structure (25 pts), readability (25 pts)
content_length -- Word count
keyword_analysis:
primary_keyword -- Count, density (0-1 scale), in_first_paragraph (bool), in_headings (bool)
secondary_keywords -- Per-keyword count and density
lsi_keywords -- Top 10 semantically related terms extracted from content
structure_analysis -- Heading counts (h1/h2/h3), paragraph count, average paragraph length, list count, internal/external link counts
readability -- Score (0-100), level (Easy/Moderate/Difficult/Very Difficult), average sentence length
meta_suggestions -- Generated title, meta description, URL slug, Open Graph tags
recommendations -- Prioritized list of specific improvement actions
1---2name: content-creator-43description: Create SEO-optimized marketing content with consistent brand voice, using a brand voice analyzer, SEO optimizer, and content frameworks. Use when writing blog posts, creating social content, or analyzing brand voice.4license: MIT + Commons Clause5---6# Content Creator
7
8Professional-grade brand voice analysis, SEO optimization, and platform-specific content frameworks.
9
10---
11
12## Table of Contents
13
14- [Keywords](#keywords)
15- [Quick Start](#quick-start)
16- [Core Workflows](#core-workflows)
17- [Tools](#tools)
18- [Reference Guides](#reference-guides)
19- [Best Practices](#best-practices)
20- [Integration Points](#integration-points)
21
22---
23
24## Keywords
25
26content creation, blog posts, SEO, brand voice, social media, content calendar, marketing content, content strategy, content marketing, brand consistency, content optimization, social media marketing, content planning, blog writing, content frameworks, brand guidelines, social media strategy
27
28---
29
30## Clarify First
31
32Before creating the content, confirm these inputs. If any is unknown or vague, ASK — do not assume:
33
34- [ ] **Primary keyword & topic** — the search target and angle (drives SEO optimization and blog structure)
35- [ ] **Content type & platform** — blog post, LinkedIn, X, Instagram (selects the framework template and length)
36- [ ] **Brand voice** — archetype + formality/tone, or sample content to baseline against (keeps voice consistent across pieces)
37- [ ] **Target audience** — who they are and their expertise level (sets readability target and messaging)
38
39Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
40
41## Quick Start
42
43### Brand Voice Development
44
451. Run `scripts/brand_voice_analyzer.py` on existing content to establish baseline
462. Review `references/brand_guidelines.md` to select voice attributes
473. Apply chosen voice consistently across all content
48
49### Blog Content Creation
50
511. Choose template from `references/content_frameworks.md`
522. Research keywords for topic
533. Write content following template structure
544. Run `scripts/seo_optimizer.py [file] [primary-keyword]` to optimize
555. Apply recommendations before publishing
56
57### Social Media Content
58
591. Review platform best practices in `references/social_media_optimization.md`
602. Use appropriate template from `references/content_frameworks.md`
613. Optimize based on platform-specific guidelines
624. Schedule using `assets/content_calendar_template.md`
63
64---
65
66## Core Workflows
67
68### Workflow 1: Establish Brand Voice (First Time Setup)
69
70For new brands or clients:
71
72**Step 1: Analyze Existing Content (if available)**
73
74```bash
75python scripts/brand_voice_analyzer.py existing_content.txt
76```
77
78**Step 2: Define Voice Attributes**
79
80- Review brand personality archetypes in `references/brand_guidelines.md`
81- Select primary and secondary archetypes
82- Choose 3-5 tone attributes
83- Document in brand guidelines
84
85**Step 3: Create Voice Sample**
86
87- Write 3 sample pieces in chosen voice
88- Test consistency using analyzer
89- Refine based on results
90
91### Workflow 2: Create SEO-Optimized Blog Posts
92
93**Step 1: Keyword Research**
94
95- Identify primary keyword (search volume 500-5000/month)
96- Find 3-5 secondary keywords
97- List 10-15 LSI keywords
98
99**Step 2: Content Structure**
100
101- Use blog template from `references/content_frameworks.md`
102- Include keyword in title, first paragraph, and 2-3 H2s
103- Aim for 1,500-2,500 words for comprehensive coverage
104
105**Step 3: Optimization Check**
106
107```bash
108python scripts/seo_optimizer.py blog_post.md "primary keyword" "secondary,keywords,list"
109```
110
111**Step 4: Apply SEO Recommendations**
112
113- Adjust keyword density to 1-3%
114- Ensure proper heading structure
115- Add internal and external links
116- Optimize meta description
117
118### Workflow 3: Create Social Media Content
119
120**Step 1: Platform Selection**
121
122- Identify primary platforms based on audience
123- Review platform-specific guidelines in `references/social_media_optimization.md`
124
125**Step 2: Content Adaptation**
126
127- Start with blog post or core message
128- Use repurposing matrix from `references/content_frameworks.md`
129- Adapt for each platform following templates
130
131**Step 3: Optimization Checklist**
132
133- Platform-appropriate length
134- Optimal posting time
135- Correct image dimensions
136- Platform-specific hashtags
137- Engagement elements (polls, questions)
138
139### Workflow 4: Plan Content Calendar
140
141**Step 1: Monthly Planning**
142
143- Copy `assets/content_calendar_template.md`
144- Set monthly goals and KPIs
145- Identify key campaigns/themes
146
147**Step 2: Weekly Distribution**
148
149- Follow 40/25/25/10 content pillar ratio
150- Balance platforms throughout week
151- Align with optimal posting times
152
153**Step 3: Batch Creation**
154
155- Create all weekly content in one session
156- Maintain consistent voice across pieces
157- Prepare all visual assets together
158
159---
160
161## Tools
162
163### Brand Voice Analyzer
164
165Analyzes text content for voice characteristics, readability, and consistency.
166
167**Usage:**
168
169```bash
170# Human-readable output
171python scripts/brand_voice_analyzer.py content.txt
172
173# JSON output for integrations
174python scripts/brand_voice_analyzer.py content.txt json
175```
176
177**Parameters:**
178
179| Parameter | Required | Description |
180|-----------|----------|-------------|
181| `file` | Yes | Path to content file |
182| `format` | No | Output format: `text` (default) or `json` |
183
184**Output:**
185
186- Voice profile (formality, tone, perspective)
187- Readability score (Flesch Reading Ease)
188- Sentence structure analysis
189- Improvement recommendations
190
191### SEO Optimizer
192
193Analyzes content for SEO optimization and provides actionable recommendations.
194
195**Usage:**
196
197```bash
198# Basic analysis
199python scripts/seo_optimizer.py article.md "main keyword"
200
201# With secondary keywords
202python scripts/seo_optimizer.py article.md "main keyword" "secondary,keywords,list"
203
204# JSON output
205python scripts/seo_optimizer.py article.md "keyword" --json
206```
207
208**Parameters:**
209
210| Parameter | Required | Description |
211|-----------|----------|-------------|
212| `file` | Yes | Path to content file (md or html) |
213| `primary_keyword` | Yes | Main target keyword |
214| `secondary_keywords` | No | Comma-separated secondary keywords |
215| `--json` | No | Output in JSON format |
216
217**Output:**
218
219- SEO score (0-100)
220- Keyword density analysis
221- Structure assessment
222- Meta tag suggestions
223- Specific optimization recommendations
224
225---
226
227## Reference Guides
228
229### When to Use Each Reference
230
231**references/brand_guidelines.md**
232
233- Setting up new brand voice
234- Ensuring consistency across content
235- Training new team members
236- Resolving voice/tone questions
237
238**references/content_frameworks.md**
239
240- Starting any new content piece
241- Structuring different content types
242- Creating content templates
243- Planning content repurposing
244
245**references/social_media_optimization.md**
246
247- Platform-specific optimization
248- Hashtag strategy development
249- Understanding algorithm factors
250- Setting up analytics tracking
251
252**references/analytics_guide.md**
253
254- Tracking content performance
255- Setting up measurement frameworks
256- Creating performance reports
257- Attribution modeling
258
259---
260
261## Best Practices
262
263### Content Creation Process
264
2651. Start with audience need/pain point
2662. Research before writing
2673. Create outline using templates
2684. Write first draft without editing
2695. Optimize for SEO
2706. Edit for brand voice
2717. Proofread and fact-check
2728. Optimize for platform
2739. Schedule strategically
274
275### Quality Indicators
276
277- SEO score above 75/100
278- Readability appropriate for audience
279- Consistent brand voice throughout
280- Clear value proposition
281- Actionable takeaways
282- Proper visual formatting
283- Platform-optimized
284
285### Common Pitfalls to Avoid
286
287- Writing before researching keywords
288- Ignoring platform-specific requirements
289- Inconsistent brand voice
290- Over-optimizing for SEO (keyword stuffing)
291- Missing clear CTAs
292- Publishing without proofreading
293- Ignoring analytics feedback
294
295---
296
297## Integration Points
298
299This skill works best with:
300
301- **Analytics platforms** - Google Analytics, social media insights for tracking (see `references/analytics_guide.md`)
302- **SEO tools** - For keyword research and competitive analysis
303- **Design tools** - Canva, Figma for visual content
304- **Scheduling platforms** - Buffer, Hootsuite for content distribution
305- **Email marketing systems** - For newsletter content campaigns
306
307---
308
309## Troubleshooting
310
311| Problem | Likely Cause | Solution |
312|---------|-------------|----------|
313| SEO score is low despite keyword inclusion | Keywords present but not in strategic positions (title, H1, first paragraph, H2s) | Place primary keyword in the first paragraph, at least one H2, and the page title. Keyword density alone is no longer a ranking factor -- placement and natural integration matter more in 2026 |
314| Brand voice analyzer shows inconsistent results across content | Multiple authors writing without shared voice guidelines | Establish a baseline by running `brand_voice_analyzer.py` on your best-performing content. Document the formality score, tone, and perspective as your target profile. Have all authors reference this baseline |
315| Content ranks initially then drops | Thin content or lack of E-E-A-T signals | Google's December 2025 core update and helpful content system penalize shallow content. Add first-person experience, original data (3+ fresh statistics per 1,000 words), expert quotes, and case studies. Content must demonstrate Experience that AI cannot replicate |
316| AI-generated content flagged or not ranking | Unedited AI output lacking human oversight, expertise, or originality | Google does not penalize AI-assisted content per se, but mass-produced AI content without human review, original perspective, or expertise signals will underperform. Always add personal experience, proprietary data, and fact-checked claims. Layer in E-E-A-T signals: author bylines with credentials, cited sources, real examples |
317| SEO optimizer recommends increasing keyword density above 3% | Legacy recommendation conflicting with current best practice | Override any density target above 2%. A 2026 study of 1,500+ Google results found no correlation between keyword density and ranking. Pages in the top 10 have 50% lower keyword density than two years ago. Focus on topical coverage and semantic relevance instead |
318| Content not winning featured snippets | Missing concise answer format near the top of the page | Provide a 2-3 sentence direct answer to the core question within the first 120-150 words. Use short paragraphs (2-4 sentences), bulleted lists, and clear H2/H3 subheadings. Featured snippets have 42.9% CTR -- the highest of any SERP feature |
319| Social media content underperforming despite good blog content | Direct copy-paste without platform adaptation | Each platform requires format-specific adaptation. LinkedIn favors 1,300-character posts with carousel documents (21.77% median engagement rate). Instagram prioritizes visual-first carousel posts. TikTok requires short-form video. Use the repurposing matrix in `references/content_frameworks.md` |
320
321---
322
323## Success Criteria
324
325- **SEO Score**: Achieve 75+/100 on the SEO optimizer for all published content. Top-performing content averages 80-90. Track scores before and after optimization to measure improvement
326- **Content Length**: Target 1,500-2,500 words for comprehensive blog posts. Top-10 Google results average 1,447 words; position-1 results average 1,890 words. Content over 3,000 words wins 3x more traffic and 4x more shares but requires strong structure
327- **Keyword Placement**: Primary keyword must appear in the page title, first paragraph, and at least one H2. Keyword density between 1-2% (not higher). Secondary keywords should appear naturally throughout with no forced repetition
328- **Readability**: Target Flesch Reading Ease score of 60-70 for general audiences (8th-9th grade level). B2B technical content can target 40-55. Sentence variety should be rated "medium" or "high" by the brand voice analyzer
329- **E-E-A-T Compliance**: Every piece of content must include at least one first-person experience element, 3+ cited statistics per 1,000 words, and author attribution with relevant credentials. This is non-negotiable for ranking in 2026 following Google's helpful content updates
330- **Brand Voice Consistency**: Maintain consistent formality, tone, and perspective scores across all content pieces as measured by `brand_voice_analyzer.py`. Variance of more than 15 points in formality score between pieces indicates inconsistency
331- **Content Calendar Adherence**: Follow the 40/25/25/10 content pillar ratio (educational/thought leadership/product/promotional). Publish at minimum 2-4 blog posts per month and 5-7 social posts per week across primary platforms
332
333---
334
335## Scope & Limitations
336
337**In Scope:**
338- Brand voice analysis: formality scoring, tone detection, perspective analysis, readability (Flesch Reading Ease), sentence structure analysis
339- SEO content optimization: keyword density, content structure evaluation, meta tag suggestions, heading analysis, link audit, SEO score (0-100)
340- Content framework guidance via reference documents (blog templates, social media formats, email structures)
341- Content calendar planning and platform-specific optimization guidance
342
343**Out of Scope:**
344- AI content generation (this skill analyzes and optimizes content, it does not generate it)
345- Keyword research and search volume data (use dedicated SEO tools like Ahrefs, SEMrush, or Moz, or the app-store-optimization skill for mobile)
346- Image or video creation and optimization (use design tools like Canva or Figma)
347- Social media scheduling and publishing (use Buffer, Hootsuite, or native platform tools)
348- Backlink analysis and link building (requires external SEO tools)
349- Real-time SERP tracking or rank monitoring
350- AI content detection scoring (Google does not penalize AI content by detection alone; focus on quality signals instead)
351
352---
353
354## Integration Points
355
356| Integration | Purpose | How to Connect |
357|-------------|---------|----------------|
358| **Google Search Console** | Monitor indexing, search queries, CTR, and position data | Use Search Console data to identify underperforming pages, then run `seo_optimizer.py` to diagnose and fix issues. Track position changes after optimization |
359| **Google Analytics 4 (GA4)** | Content performance measurement, engagement metrics | Measure page views, time on page, bounce rate, and conversions per content piece. Feed insights back into content strategy decisions |
360| **SEO Tools (Ahrefs, SEMrush, Moz)** | Keyword research, backlink data, competitive analysis | Export target keywords from SEO tools to use as input for `seo_optimizer.py`. Use competitive gap analysis to inform content topics |
361| **CMS Platforms (WordPress, Webflow, Ghost)** | Content publishing and meta tag implementation | Apply meta tag suggestions from `seo_optimizer.py` directly to CMS fields. Implement heading structure recommendations in post editor |
362| **social-media-analyzer skill** | Social content performance tracking | Analyze which content formats and topics perform best on social, then use findings to inform content creation priorities |
363| **campaign-analytics skill** | Content ROI measurement | Track content-attributed conversions through campaign analytics. Identify which content pieces drive the most pipeline or revenue |
364| **app-store-optimization skill** | App description writing | Apply SEO writing principles and brand voice consistency to app store descriptions using shared voice guidelines |
365
366---
367
368## Tool Reference
369
370### brand_voice_analyzer.py
371
372**Type:** CLI script (positional arguments, no argparse flags)
373
374**Usage:**
375```bash
376python brand_voice_analyzer.py <file> [format]
377```
378
379| Argument | Position | Required | Default | Description |
380|----------|----------|----------|---------|-------------|
381| `file` | 1st | Yes | -- | Path to text content file to analyze |
382| `format` | 2nd | No | `text` | Output format: `text` (human-readable) or `json` (machine-readable) |
383
384**Output Fields:**
385- `word_count` -- Total words in content
386- `readability_score` -- Flesch Reading Ease (0-100). Below 30 = difficult, 30-60 = moderate, 60-70 = standard, 70+ = easy
387- `voice_profile` -- Per-dimension analysis:
388 - `formality` -- Dominant: formal or casual (based on keyword matching)
389 - `tone` -- Dominant: professional or friendly
390 - `perspective` -- Dominant: authoritative or conversational
391- `sentence_analysis` -- Average sentence length (words), variety (low/medium/high), total count
392- `recommendations` -- Actionable suggestions for readability, sentence variety, and voice consistency
393
394### seo_optimizer.py
395
396**Type:** CLI script (positional arguments with one optional flag)
397
398**Usage:**
399```bash
400python seo_optimizer.py <file> [primary_keyword] [secondary_keywords] [--json]
401```
402
403| Argument | Position/Flag | Required | Default | Description |
404|----------|--------------|----------|---------|-------------|
405| `file` | 1st | Yes | -- | Path to content file (markdown or HTML) |
406| `primary_keyword` | 2nd | No | None | Main target keyword for density and placement analysis |
407| `secondary_keywords` | 3rd | No | None | Comma-separated secondary keywords (e.g., `"seo,content,optimization"`) |
408| `--json` | Flag | No | text output | Output raw JSON instead of human-readable format |
409
410**Output Fields:**
411- `optimization_score` -- Overall SEO score (0-100). Scoring: content length (20 pts), keyword optimization (30 pts), structure (25 pts), readability (25 pts)
412- `content_length` -- Word count
413- `keyword_analysis`:
414 - `primary_keyword` -- Count, density (0-1 scale), in_first_paragraph (bool), in_headings (bool)
415 - `secondary_keywords` -- Per-keyword count and density
416 - `lsi_keywords` -- Top 10 semantically related terms extracted from content
417- `structure_analysis` -- Heading counts (h1/h2/h3), paragraph count, average paragraph length, list count, internal/external link counts
418- `readability` -- Score (0-100), level (Easy/Moderate/Difficult/Very Difficult), average sentence length
419- `meta_suggestions` -- Generated title, meta description, URL slug, Open Graph tags
420- `recommendations` -- Prioritized list of specific improvement actions