EdTechLatAm11 months

From paid dependency to owning the evaluation answer in online English

An EdTech selling online English programs in a hyper-competitive category, dependent on paid for 90% of acquisition. We rebuilt the evaluation answer — both in Google and in LLMs — and pulled CAC down across the entire funnel.

+182%
Qualified leads
−51%
CAC vs paid baseline
1st
Cited in ChatGPT answers
11 mo.
To paid-organic parity
The challenge

What we walked into

Crowded category dominated by global brands with deeper pockets. The brand had a strong methodology but no answer for the evaluation queries that drove enrolment ('best online English course', 'X vs Y', 'platform that works for adults'). 90% of acquisition came from paid with rising CAC.

The approach
  • /01

    Evaluation content as the priority cluster

    Comparison pages, methodology breakdowns and outcome-based content built around how adults actually evaluate online English programs.

  • /02

    Real teachers and real students as authority

    Teacher profiles structured as entities, student outcomes as case studies — turning soft brand signals into hard SEO assets.

  • /03

    GEO for evaluation queries

    Schema and structured comparison data so ChatGPT, Gemini and Perplexity cited the brand when adults asked for online English recommendations.

  • /04

    Per-cohort attribution

    Reporting tied to enrolment cohort so SEO impact was measurable in students enrolled — not just leads.

The outcome

Qualified leads grew 182% over 11 months with CAC 51% lower than paid baseline. The brand reached paid-organic parity in enrolment by month 11 and became the most-cited platform in LLM evaluation answers.

"We were one bad ad-platform change away from losing the company. Now organic is a real second leg."
Founder & CEO, EdTech, online English

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