Overview
The Related Keywords block finds keyword variations and related search terms for a target keyword from Semrush. Use it to expand keyword lists, discover content opportunities, and find long-tail variations for SEO and content strategy.Configuration
Keyword (Required)
The seed keyword to find related terms for. Example:{{step_1.output}}
Tips:
- Use specific seed keywords for focused results
- Broad terms return more varied suggestions
- Long-tail seeds find similar long-tail variations
Keyword Type
Select the type of related keywords to discover. Options: Related Keywords (Default) Find semantically related keywords and variations relevant to your target keyword. Example for “crm software”:- crm
- hubspot
- customer relationship management
- crm system
- what is crm
- best crm software
- crm for small business
- free crm
- crm comparison
- what is crm
- how does crm work
- why use crm software
- which crm is best
Number of Results
How many keywords to return. Range: 1-1000 Default: 10 Higher numbers give more options but may include less relevant terms. Start with 10-50 for most use cases.Region (Optional)
Select the regional database for keyword data. Default: United States Choose the region matching your target market. Different regions return different keyword suggestions and metrics.Error Handling
Define what happens if the block fails to retrieve data. Options:- Terminate Workflow: Stop execution immediately
- Continue Execution: Proceed to next step despite error
Output Data
The block returns an array of keyword objects with comprehensive metrics:Keyword
The related keyword phrase. Example:"hubspot crm"
Search Volume
Monthly average search volume. Example:"18100" (18,100 searches/month)
CPC
Average cost per click in USD. Example:"24.92" ($24.92 per click)
Competition
Paid search competition density (0-1). Example:"0.41" (Medium competition)
Scale:
- 0.00-0.33: Low competition
- 0.34-0.66: Medium competition
- 0.67-1.00: High competition
Number of Results
Total search results for this keyword. Example:"25100000" (25.1 million results)
Trends
12 months of search volume trends (normalized 0-1). Example:"1.00,0.66,0.36,0.36,0.44,0.44,1.00,0.54,0.66,0.66,0.81,0.54"
Values represent relative search volume per month. 1.00 = peak month, 0.00 = lowest.
Use trends to:
- Identify seasonal keywords
- Spot growing/declining interest
- Plan content timing
Related Relevance
How closely related the keyword is to your seed keyword (0-1). Example:"0.5" (Moderately related)
Scale:
- 0.80-1.00: Highly relevant
- 0.50-0.79: Moderately relevant
- 0.20-0.49: Somewhat relevant
- 0.00-0.19: Loosely related
Keywords SERP Features
SERP features that appear for this keyword. Example:"1,6,9,14,15,20,21,36,51"
Numeric codes representing SERP features like:
- Featured snippets
- People Also Ask
- Images
- Videos
- Shopping results
Sample Output
Best Practices
- Start with Related Keywords type for broad discovery
- Use Questions type specifically for content ideation and FAQ pages
- Use Broad Match to find long-tail variations with commercial intent
- Filter results by Related Relevance to focus on closest matches
- Combine with Keyword Overview to get full metrics for promising terms
- Use Code block to filter results by search volume or competition
- Request 50-100 results then filter programmatically for best matches
- Check Trends field to avoid seasonal keywords (unless intentional)
- Use loops to analyze related keywords for multiple seed terms
- Save results to sheets for team review and prioritization
Common Use Cases
| Use Case | Configuration | What to Look For |
|---|---|---|
| Content topic ideas | Questions type, 20-50 results | High volume questions with low competition |
| Keyword expansion | Related type, 50 results | High relevance, good volume, manageable difficulty |
| Long-tail discovery | Broad Match type, 100 results | Lower volume, lower competition, specific intent |
| FAQ content planning | Questions type, 30 results | Common questions, decent search volume |
| Competitor keyword gaps | Related type, multiple seeds | Keywords they rank for that you don’t |
| Seasonal content planning | Related type, check Trends | Keywords with seasonal patterns matching your calendar |
| Voice search optimization | Questions type, 50 results | Natural language queries, conversational keywords |
| PPC campaign expansion | Broad Match type, filter by CPC | Commercial intent, reasonable CPC, good volume |
Understanding the Output
Evaluating Keyword Potential
Ideal keywords have:- High volume (10,000+ for competitive niches, 500+ for niche)
- Low competition (below 0.5)
- High relevance (above 0.5)
- Stable trends (no massive fluctuations)
- Reasonable result count (not 500M+ unless you’re enterprise)
Using Trends Data
- Flat trends: Consistent year-round interest
- Seasonal peaks: Plan content before peak months
- Growing trends: Rising interest, early opportunity
- Declining trends: Avoid unless other signals strong
Related Relevance Filtering
- 0.80-1.00: Core keywords, highest priority
- 0.50-0.79: Good supporting keywords
- 0.20-0.49: Tangential, use selectively
- 0.00-0.19: Too broad, probably skip
CPC as Commercial Intent Indicator
- High CPC (above $10): Strong commercial intent
- Medium CPC ($2-10): Mixed intent
- Low CPC (below $2): Mostly informational
- $0 CPC: No paid competition, purely informational
Workflow Examples
Example 1: Blog Content Pipeline
- Related Keywords (Questions type): Get 30 question keywords
- Loop Block: Iterate through each question
- Keyword Overview: Get full metrics for each
- Code Block: Filter by volume and difficulty
- LLM Block: Generate content brief for each
- Google Sheets: Export content calendar
Example 2: Keyword Clustering
- Related Keywords (Related type): Get 100 keywords
- Code Block: Group by relevance score
- Code Block: Calculate average metrics per cluster
- Google Sheets: Create prioritized clusters
Example 3: Competitor Gap Analysis
- Domain Organic Keywords: Get competitor keywords
- Loop Block: For each competitor keyword
- Related Keywords: Find related terms
- Code Block: Compare with your current keywords
- Google Sheets: Export gap analysis
Interpreting Different Keyword Types
Related Keywords Results
- Semantic variations of your seed keyword
- Synonyms and alternative phrasings
- Related concepts and topics
- Mix of short and long-tail terms
- Useful for comprehensive content covering a topic
Broad Match Results
- Contains seed keyword somewhere in query
- Often includes modifiers (best, free, how to)
- Longer phrases with specific intent
- Good for finding buyer keywords
- Useful for PPC campaign building
Questions Results
- Who, what, when, where, why, how queries
- Perfect for FAQ sections
- Great for featured snippet targeting
- Voice search friendly
- Natural language patterns
Filtering and Prioritization
High-Priority Keywords
- Related Relevance above 0.7
- Search Volume above your threshold
- Competition below 0.4
- Stable or growing trends
- Manageable result count
Content Opportunity Keywords
- Questions with 1,000+ volume
- Related Relevance above 0.5
- Few SERP features (easier to rank)
- Commercial CPC (valuable traffic)
Low-Hanging Fruit
- Search Volume 500-5,000
- Competition below 0.3
- High Related Relevance above 0.6 (very specific)
- Fewer than 50M results
Tips for Best Results
- Start broad, filter narrow: Request 100 keywords, filter to top 10-20
- Combine keyword types: Use all three types for comprehensive research
- Check trends monthly: Seasonal patterns affect content planning
- Use relevance scoring: Don’t ignore this metric, it’s crucial
- Consider SERP features: Many features = harder to rank organically
- Cross-reference with competitors: Are they ranking for these terms?
- Test CPC correlation: High CPC often means high conversion value
- Save everything to sheets: Manual review catches insights automation misses
What’s Next
Now that you understand the Related Keywords block:- Get detailed metrics in Keyword Overview
- Analyze competitors in Domain Overview
- Check backlinks in Backlink Overview
- See domain keywords in Domain Organic Keywords
- Use loops for automation in Loop Block
- Process results in Code Block
- Save data in Google Sheets