The Challenge
SaaS websites often have strong products but unclear search architecture. Without keyword mapping, important pages can miss the language buyers use when comparing features, pricing, use cases, and alternatives.
Our Approach
This framework uses AI-assisted keyword clustering to connect search intent with the right SaaS page type, creating a content architecture that supports users at each stage of evaluation.
Step 1: Keyword Research & Clustering
We identify high-intent keyword themes using AI-assisted tools, then cluster them by search intent and buyer journey stage. This gives a clearer picture of what potential customers may search for at each stage.
Step 2: Page Type Mapping
We mapped each keyword cluster to one of 6 page types: Homepage, Features, Pricing, Use Cases, Comparisons, and Blog. This ensured every keyword had a dedicated landing page optimized for that specific intent.
Step 3: Content Architecture
We built a complete content architecture with internal linking strategy, ensuring search engines could discover and understand the relationship between all pages. Each page was optimized for its target keywords with proper heading hierarchy, meta tags, and structured data.
Strategy Outputs
Intent
Search mapping
Clusters
Topic grouping
6
Page types optimized

Ruhan Rafiq Bhaleshah
Chief Technology Officer
Ruhan Rafiq Bhaleshah leads the technical vision at BizTech, overseeing full-stack development, AI-powered workflows, and ensuring engineering teams collaborate with design and SEO specialists.