GEO for EdTech: how to get cited by AI
Learning decisions go through AI: 'how to become an analyst', 'best Python course', 'is X worth it'. This is near-YMYL (career and money) — engines are wary of promises but value structure, Course schema and real expertise.
Where you lose AI answers
- AI recommends other courses and aggregators for 'which course to pick'.
- Promises like 'a $5k/mo salary' with no data or proof lower engine trust.
- No Course schema and curriculum in HTML — the course isn't 'seen' as an entity.
How people ask AI
GEO checklist for this niche
Course/Offer schema with title, curriculum, format, price and provider.
Practitioner authors with credentials (knowsAbout, hasCredential) — a trust signal in near-YMYL.
Concrete results with data (how many graduates, what projects), no empty promises.
Curriculum and common questions (duration, format, placement) — server-rendered, with FAQPage.
Real graduate reviews and case studies — engines cite them for 'is it worth it'.
Want this done for your site — end to end?
FAQ
Why do outcome promises hurt?
For near-YMYL topics (career, money) engines filter strictly: unbacked 'salary X' claims lower trust. Concrete, proven results are better — those get cited.
What to implement first?
Course schema, expert instructor profiles, curriculum in HTML with FAQ — then run the GEO checker.