Foundational Research
Initial frameworks created, focused on keyword data and market gaps.
Our Model’s Evolution
Purposeful development for measurable impact
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Intent Integration
Added user journey modelling and search psychology to the process.
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Cluster Automation
Set up scalable clustering and internal linking automation technologies.
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Priority Mapping
Launched fully data-driven mapping and reporting workflows.
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Refinement for Africa
Optimised models for diverse South African search behaviours.
How the Method Works
From first audit to final reporting
1
Collect & Audit
Gather keywords, analytics, and strategic business goals.
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2
Segment & Analyse
Sort by user intent, persona, and stage in the funnel.
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3
Cluster & Structure
Group thematically, prioritise commercially, and map for navigation.
3
4
Deliver & Report
Produce actionable plans, dashboards, and follow-up reviews.
4
Semantic Clustering vs. Traditional SEO
Compare structured clustering with classic keyword-focused tactics
Riventora
Intent-focused, research-driven strategy
5/5
Custom Quote
Intent based mapping
Processes search intent not just keywords
Included
Thematic clusters
Builds site architecture around topic groups
Active
Adaptive reporting
Updatable, client-friendly dashboards
Available
Priority planning
Launches content where impact is greatest
Strategic
South Africa focus
Refinement for regional search dynamics
Localised
Traditional keyword approach
Single-term targeting, less structure
Advanced
Data-backed, adaptive
Legacy SEO Providers
Page-level keyword optimisation focus
3/5
Fixed Package
Intent based mapping
Processes search intent not just keywords
Not offered
Thematic clusters
Builds site architecture around topic groups
Not active
Adaptive reporting
Updatable, client-friendly dashboards
Not available
Priority planning
Launches content where impact is greatest
Tactical
South Africa focus
Refinement for regional search dynamics
Generic
Traditional keyword approach
Single-term targeting, less structure
Standard
Standard, volume-based