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Content Strategy Tools

Identify content opportunities, track performance, and organize queries with AI-powered insights.

Overview​

Content Strategy Tools help you:

  • Find Content Gaps: Discover where competitors cite but you don't
  • Track Performance: Monitor citation rates for your content
  • Organize Topics: Auto-cluster queries by semantic similarity

Content Gap Analysis​

What are Content Gaps?​

Content gaps are queries where:

  • Competitors get citations
  • You don't get any citations
  • High opportunity for new content

Finding Gaps​

  1. Navigate to Content Strategy > Gaps
  2. Enter your domain (e.g., example.com)
  3. Click Analyze
  4. View prioritized opportunities

Opportunity Scoring​

Each gap receives a score (0-100) based on:

Formula:

score = (competitor_citations × 2) +
        ((5 - competitor_avg_position) × 1.5) -
        difficulty_penalty

Factors:

  • Competitor Citations: How often competitors are cited
  • Position: Average position of competitors (1-5)
  • Difficulty: Number and strength of competitors

Difficulty Levels​

Low (Easy Wins)

  • Average position ≥6 OR <3 competitors
  • Good starting point for new content

Medium (Moderate Effort)

  • Positions 3-5 OR 3-5 competitors
  • Requires quality content

High (Challenging)

  • Positions 1-3 AND ≥5 competitors
  • Needs exceptional content

Content Type Suggestions​

The system suggests optimal content types:

  • Comparison: Queries with "vs", "or", "compare"
  • Tutorial: Queries with "how to", "guide"
  • FAQ: Queries starting with "what is", "why"
  • Guide: Queries with "best", "top"
  • Blog Post: Default for other queries

Using Gap Analysis​

Workflow:

  1. Run gap analysis for your domain
  2. Filter by difficulty = "low" (quick wins)
  3. Sort by opportunity score DESC
  4. Export top 20 to content calendar
  5. Create targeted content

Example:

Query: "best seo tools for small business"
Difficulty: Low
Opportunity: 85
Competitor Citations: 12
Suggested Type: Guide
Action: Create comprehensive guide

Content Performance Tracking​

Registering Content​

Track your blog posts, guides, and pages:

  1. Navigate to Content Strategy > Performance
  2. Click Register Content
  3. Enter:
    • URL: Content location
    • Title: Page title
    • Type: Blog post, guide, FAQ, etc.
    • Target Queries: Queries you're targeting
    • Tags: Categorization tags

Performance Metrics​

Citation Rate: Percentage of target queries where cited

citation_rate = (queries_cited / target_queries) × 100

Total Citations: Number of times content is cited

Avg Position: Average citation position (1-5)

Trend: Performance direction

  • Trending Up: Citation rate increasing >20%
  • Stable: Citation rate change ±10%
  • Trending Down: Citation rate decreasing 10-20%
  • Decaying: Citation rate decreasing >20%

Performance Snapshots​

Automatic tracking over time:

  • Weekly snapshots
  • Monthly summaries
  • On-demand captures

View trends in dashboard charts.

Content Refresh Recommendations​

Get notified when content needs updating:

Decaying Citations

  • Citation rate dropping >20%
  • Action: Update examples, refresh stats

Outdated Stats

  • Last updated >90 days ago
  • Action: Add recent developments

Low Performance

  • Citation rate <30%
  • Action: Improve depth and coverage

Competitor Outranking

  • Competitors gaining position
  • Action: Enhance competitive advantage

Recommendation Workflow​

  1. View pending recommendations
  2. Review suggested actions
  3. See estimated effort (hours)
  4. Assign to team member
  5. Mark complete when done

Topic Clustering​

What is Topic Clustering?​

Auto-organize queries into semantic groups using AI embeddings.

Benefits:

  • Better query organization
  • Topic-level analytics
  • Discover related queries
  • Plan content by theme

How It Works​

  1. Generate Embeddings: Create semantic vectors (OpenAI)
  2. Auto-Cluster: Group similar queries (k-means)
  3. AI Labels: Generate topic names automatically
  4. Track Metrics: Monitor topic-level performance

Creating Topics​

Option 1: Auto-Clustering

  1. Navigate to Content Strategy > Topics
  2. Click Auto-Cluster Queries
  3. System determines optimal cluster count
  4. AI generates topic labels

Option 2: Manual

  1. Create topic manually
  2. Assign queries individually
  3. Set custom name and emoji

Topic Metrics​

Each topic shows:

  • Query Count: Queries in topic
  • Total Citations: Aggregate citations
  • Avg Citation Rate: Average across queries
  • Trending Direction: Up, down, or stable

Finding Similar Queries​

Use semantic search to find related queries:

  1. Select a query
  2. Click Find Similar
  3. Adjust similarity threshold (0.0-1.0)
  4. View semantically related queries

Use Cases:

  • Discover content opportunities
  • Identify duplicate queries
  • Find keyword variations
  • Plan content clusters

Topic Analytics​

View performance by topic:

  • Citation trends over time
  • Top queries in topic
  • Competitive positioning
  • Content gaps by topic

Workflows & Best Practices​

Content Planning Workflow​

Week 1: Discovery

  1. Run gap analysis
  2. Identify top opportunities
  3. Check existing content performance

Week 2: Planning

  1. Cluster queries by topic
  2. Prioritize topics by metrics
  3. Plan content calendar

Week 3-4: Creation

  1. Create content for high-opportunity gaps
  2. Update decaying content
  3. Register new content for tracking

Ongoing: Monitoring

  1. Weekly performance snapshots
  2. Act on refresh recommendations
  3. Adjust strategy based on trends

Optimization Tips​

For Gap Analysis:

  • Focus on "low" difficulty first
  • Target opportunities >70 score
  • Create content type suggested

For Performance Tracking:

  • Register all major content
  • Set realistic target queries
  • Act on recommendations within 30 days

For Topic Clustering:

  • Re-cluster quarterly as queries grow
  • Use topics for content themes
  • Track topic trends for planning

Export & Integration​

Exporting Gaps​

Export content gaps to CSV:

  1. Filter by criteria
  2. Click Export CSV
  3. Import to content calendar

CSV Columns:

  • Query text
  • Opportunity score
  • Difficulty
  • Suggested content type
  • Competitor data

Exporting Performance​

Export content performance:

  • Current snapshot
  • Historical trends
  • Refresh recommendations

FAQs​

Q: How often should I run gap analysis? A: Weekly for active content marketing, monthly for maintenance.

Q: What's a good citation rate? A: >50% is good, >70% is excellent, <30% needs improvement.

Q: How many target queries per content? A: 5-15 related queries per piece works well.

Q: When should I refresh content? A: When decaying, >90 days old, or <30% citation rate.

Q: How does clustering decide topic count? A: Uses elbow method on query similarity to find optimal clusters.