EdTech platform: top-3 in AI answers on core topics

The problem

EdTech is crowded and the platform was invisible in AI answers on the topics it actually teaches. Classic search traffic existed; the informational layer that assistants paraphrase did not exist in usable form.

What we did

Expert articles with claim-source pairs, Organization and Course entities in schema, FAQ blocks built from pre-purchase questions, and a cleanup of stale intake dates that were quietly devaluing whole pages.

Result

Across four tracked topics the platform moved into the top three of assistant answers over six months, from no stable presence. NDA project: topics are reported as A, B, C, D in the client's own reporting.

Method: demand before the course is chosen

People first work out what to learn and what it gets them, and only then compare programmes. That informational layer brings the audience — and it is the layer assistants paraphrase most.

Programmes as facts. Duration, format, workload, entry requirements, outcome — extractable statements, not atmosphere.

Pre-purchase questions answered. Who it suits, what happens if you fall behind, how practice works, what certificate you get.

Who teaches. Instructors with verifiable experience are the strongest trust signal in education, for readers and models alike.

Schedules kept current. Stale intake dates devalue the whole page, visibly, to both humans and search.

The metric is applications and course starts from non-branded search — not total traffic, which in education is easy to inflate with the wrong audience.

Services used on this project: Generative Engine Optimization, SEO.

Relative metrics only: these projects are under NDA, so the industry, the timeframe and the direction of change are published and the brand and absolute volumes are not. On a call we walk through the same structure applied to your market: baseline, work, expected metric.