Automated Keyword Analysis
Transform 3700 Keywords into Strategic Marketing Assets
See how conbase.ai transforms basic keyword data into actionable marketing intelligence by automatically classifying search intent, market orientation, and locality—automating what used to take weeks of manual analysis into a streamlined pipeline that scales with your SEO and content marketing needs.
The Challenge
Digital marketers struggle with efficiently categorizing large keyword datasets, resulting in less targeted content strategies and missed opportunities for traffic and conversions.
Time Requirements
6+ minutes per keyword manually, limiting scalability for large datasets
Output Variability
55-65% consistency across analysts and keyword categories
Technical Expertise
Requires deep SEO knowledge and market segmentation expertise
Volume Constraints
Staff capacity limits prevent scaling beyond 100-200 keywords per day
3700 Fully Classified Keywords in less then 24h
Discover how we processed a month's worth of keyword analysis in less than 24h
The Process
Transforming product descriptions into high-converting content.
Data Preparation
Imported 3700 keyword records with search volume and competition metrics
Pipeline Configuration
Configured a 3-step workflow for comprehensive keyword classification
Testing & Refining
Tested and optimized classification parameters across diverse keyword samples
Processing & Export
Processed all 3700 keywords in under 24 hours
Transform your product data with conbase.ai
1 The Data
The keyword dataset contains basic SEO metrics but lacks the critical classification data needed to develop targeted content strategies and prioritize marketing efforts.
Data Volume
3700 records
Data Structure
CSV format with 3 fields per record
Data Quality
Complete keyword data with search metrics but lacking strategic classification
Structure Overview
| Field | Sample Data |
|---|---|
| keyword_id | 1 |
| keyword | "digital marketing strategies" |
| search_volume | 5400 |
| competition | 0.76 |
No coding required — Get started in minutes
2 The Pipeline
The three-stage pipeline transforms basic keyword data into strategically classified marketing assets.
Classify Search Intent
Analyzes keyword phrases to determine user intent (informational, commercial, navigational, or transactional).
Input Fields:
- keyword
- search_volume
- competition
Outputs:
- search_intent
Identify Market Orientation
Pattern recognition to identify B2B vs B2C orientation.
Input Fields:
- keyword
- search_volume
- competition
- search_intent
Outputs:
- market_orientation
Recognize Locality Relevance
Geographic context analysis.
Input Fields:
- keyword
- search_volume
- competition
- search_intent
- market_orientation
Outputs:
- locality
Process 500 products in minutes, not days
3 Testing & Refining
In this step we tested each pipeline action singularly and in combination with the other actions to make sure we get the correct results.
! Test Outputs
1 Keyword
2 Search Intent
3 Market Orientation
4 Locality
Transform your data in minutes, no technical skills required
4 The Results
The conbase.ai pipeline delivered exceptional efficiency and accuracy in keyword classification.
87.5%
Time Savings
95%
Quality Improvement
97%
Consistency at Scale
| Keyword | Search Intent | Market Orientation | Locality |
|---|---|---|---|
|
digital marketing strategies
|
informational
|
B2B
|
NOT LOCAL
|
|
best laptop for college students
|
commercial
|
B2C
|
NOT LOCAL
|
|
wholesale coffee beans suppliers
|
commercial
|
B2B
|
NOT LOCAL
|
|
top rated gyms in berlin
|
commercial
|
B2C
|
LOCAL
|
|
affordable web hosting services
|
commercial
|
B2B
|
NOT LOCAL
|
Transform your keyword strategy with precision and detailed insights
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Still Classifying Keywords Manually?
Transform your SEO and content strategy from weeks to minutes with accurate, consistent keyword intelligence.
| Pipeline Action | Manual Process | Generic AI | conbase.ai |
|---|---|---|---|
| Classify Search Intent (time per unit) | 2 min | 1 min | 10-15 sec |
| Identify Market Orientation (time per unit) | 2 min | 1 min | 10-15 sec |
| Recognize Locality Relevance (time per unit) | 2 min | 1 min | 10-15 sec |
| Total Time Per Unit | 6 min | 3 min | 30-45 sec |
| Metric | Manual Process | Generic AI | conbase.ai |
|---|---|---|---|
| Total Processing Time (for 3700 units) | 370 hours | 185 hours | less then 24 hours |
| Classification Accuracy (%) | 65-75% | 80-85% | 92-97% |
| Consistency in Categorization (%) | 55-65% | 75-85% | 95-98% |
| Time Saving vs Manual (%) | N/A | 50% | 87.5% |
| Time Saving vs Generic AI (%) | N/A | N/A | 95% |
| Consistency Metrics (%) | 40-60% | 70-80% | 95-100% |
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