Crafted a Scalable Content Strategy for GMAT Club’s Target Audience
GMAT Club helps hundreds of thousands of MBA aspirants make smarter test prep, admissions, and career decisions. With user-driven reviews, detailed breakdowns of practice tests, and score insights across different programs, it’s a go-to destination for anyone on the GMAT or MBA prep journey.
February marked a turning point. We discovered how MBA applicants seeking help transformed completely. They were using ChatGPT and other LLMs to ask questions rather than Googling through forums or blog posts.
We didn’t guess what applicants wanted. We listened to what they asked. A few of the most common prompts asked on ChatGPT:
- Where can I find MBA admission advice from ex-nonprofit applicants?
- Which MBA communities discuss transitions from nonprofit work?
- Which online forums have active communities of Asian professionals applying to Western MBA programs?
- Where do nonprofit applicants share MBA admission tips online?
- Looking for MBA admissions forums where I can learn from others who've successfully transitioned from nonprofit to business school suggestions?
These are highly specific, high-intent questions. The GMAT Club would have missed these aspirants if we had not provided a clear, helpful answer. Each content cluster was built with structured answers, comparisons, and a citation-ready format, making it easy for ChatGPT, Copilot, and Perplexity to surface, reference, and link.
The Imapact: The Exponential Rise of LLM Traffic
The ResultFirst strategy for GMAT Club didn’t just work; it compounded. Between January and June 2025, traffic from AI search platforms jumped by 161% overall, with ChatGPT alone growing 199%.
AI Overview
Gemini
GPT-4
ChatGPT
Perplexity
Claude
How AI Platforms Drove Traffic Growth (Jan 2025 – June 2025)
Between January and June 2025, GMAT Club saw more than a 2.6x increase in traffic from AI platforms.
- ChatGPT was the biggest driver, growing 199% and contributing the bulk of sessions.
- Copilot traffic surged 13,300% from a low base, marking its rapid rise as a new referrer.
Overall, AI-driven sessions rose by 161%, confirming the growing influence of AI tools in driving discovery and engagement.
What’s Ahead?
Instead of optimizing for more traffic, we prioritized high-intent queries and crafted precise, authoritative answers that AI models consistently ranked and cited. As LLMs redefine information discovery, we helped GMAT Club establish itself as an authoritative source, ensuring visibility where today's MBA aspirants are increasingly turning for answers.
How We Track LLM and AI Overview Traffic
We track AI-driven traffic in real time using a custom setup with Google Looker Studio, Search Console, and GA4
- LLM Traffic: Track sessions (GA4), landing pages (Looker Studio), and device/location data.
- AI Overviews: Monitor SERP clicks (Search Console), page trends (Looker Studio), and partner tools for deeper insights.
We monitor LLM traffic (Gemini, ChatGPT, etc.) via GA4 (engagement) and Looker Studio (performance), while AI Overview tracking combines Search Console data with custom dashboards and third-party analytics.
Key Takeaway: The Future Isn’t SEO vs. GEO. It’s Both
This isn’t theory. It’’s validation. Generative Engine Optimization (GEO) is how you future-proof SEO.
Winning the new search landscape means:
- Structuring content for clarity (not just keywords)
- Answering real questions (not just queries)
- Using schema to teach bots (not just markup)
- Writing for humans, formatting for AI (not one or the other)
The result? Your content doesn’t just rank; it adapts, performing across Google, ChatGPT, Gemini, and tomorrow’s undiscovered platforms. Ready to future-proof your traffic? Let’s build your GEO+SEO playbook.
INSIGHTS, STORIES AND
EXPERT CONVERSATIONS
How to create content that connects, converts, and scales – Nuno Bamberg
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When Visibility Backfires, Managing Brand Sentiment in the AI Search Era
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Exploring The Journey from Clicks to Conversion
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