High-Intent Non-Branded Education Discovery
+250K incremental organic clicks driven through non-branded search discovery
This SEO case study highlights how dau partnered with one of India’s most respected business schools to strengthen organic visibility across traditional search results and emerging AI-driven discovery surfaces. As a case study for SEO, the engagement focused on ensuring high-intent learners could discover ISB programs at key decision moments, without relying on branded demand. This serves as a strong SEO case study example for institutions operating in long decision cycles.
Project Overview
About The Brand
Search plays a critical role in how prospective participants research, evaluate, and shortlist executive education programs, making organic discoverability a strategic growth lever. This SEO marketing case study demonstrates how search can support credibility-led discovery rather than volume-driven traffic.
Business Objective & Search Opportunity
ISB’s objective was to strengthen discovery for high-intent, non-branded search queries related to executive education and management programs. This case study on SEO focused on capturing qualified demand rather than expanding generic visibility.
The opportunity focused on:
Capturing research-driven searches from professionals actively evaluating programs.
Improving relevance for competitive, non-brand queries such as executive MBA and product management courses.
Ensuring content surfaced accurately across both traditional SERPs and AI-powered answer experiences.
Rather than driving volume, the emphasis was on quality discovery aligned with program relevance and institutional credibility. This approach reflects what many of the best SEO case studies emphasize: intent over impressions.
Strategy Overview
Foundation Layer: SEO Fundamentals
- 1Technical site health and crawlability improvements aligned to platform constraints.
- 2Intent-aligned keyword mapping for priority program pages.
- 3On-page optimization focused on clarity, structure, and relevance.
- 4Performance measurement tied to visibility and click behavior, not vanity metrics.
Discovery Layer: AI & Semantic Optimisation
- 5Content structured for semantic clarity rather than keyword density.
- 6Stronger entity-level signals around programs, outcomes, and learning context.
- 7Enhanced contextual relevance for AI summaries and assisted search journeys.
- 8GEO-aware structuring to support India-centric and global discovery.
Why This Search Strategy Worked for ISB
Focused on high-intent, non-branded searches aligned with executive decision-making.
Strengthened program authority and contextual relevance over volume-led content expansion.
Optimized for semantic clarity and AI-driven discovery, not just traditional rankings.
Designed to work seamlessly within Adobe Experience Manager (AEM) workflows.
Aligned SEO execution with audience maturity, longer evaluation cycles, and institutional credibility.
Execution Highlights
Execution emphasized clarity, consistency, and relevance, positioning this as a practical SEO ranking case study rather than a theoretical one.
Technical SEO recommendations aligned with AEM capabilities and workflows.
Meta, header, and content optimization for priority program pages.
Intent-based optimization mapped to executive education research journeys.
GEO-relevant structuring for India-focused discovery.
Ongoing performance monitoring and refinement.
Results & Impact
Search Visibility Gains That Mattered
1M+
Achieved 1M+ increase in website impressions
65%
Improved average keyword rankings by 65%
287%
Expanded People Also Ask keyword visibility by 287%
AI-Led Discovery
Strengthened AI-led discovery across traditional SERPs and AI-driven answer platforms
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