The Delta Quadrant
Every school placed by what AI remembers (model memory) against what AI finds when it searches (live retrieval). Bubble size is mention volume. Tap any school to focus it; switch Layer or Platform to move the field.
AI has already decided which MBA programs it recommends. Here is who, and why.
Two layers of AI visibility: durable memory, and the live citation contest.
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Blended leaderboard
Memory and retrieval for every school; blended is the weighted headline (w_p 0.366 / w_g 0.634). Tap a school to focus it across the whole index.
Head-to-head, honestly measured
When AI compares two schools, the naive answer is mostly an artifact of which is named first. We ask every matchup both ways; the number to trust is order-balanced. Toggle to watch the correction.
Matchups (first school's balanced win rate)
Citation battleground
Attribute association
Which decision factors the models frame each school on (share of its mentions). Darker = stronger. The sharpest signal: Wharton owns 'rankings', while Chicago owns 'format'. Tap a school to focus its row.
| School | Rankings | Employment | ROI | Format | Entrep. | Culture | Geography | Faith/Values | Exec Ed | Energy | Tuition | Alumni |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Harvard Business School | 34% | |||||||||||
| Wharton | 39% | 15% | ||||||||||
| Stanford GSB | 30% | 18% | ||||||||||
| Kellogg | 37% | |||||||||||
| MIT Sloan | 33% | 15% | 17% | |||||||||
| Columbia Business School | 28% | 18% | ||||||||||
| Chicago Booth | 29% | 19% | ||||||||||
| INSEAD | 53% | 17% | ||||||||||
| NYU Stern | 44% | 27% | ||||||||||
| UC Berkeley Haas | 35% | 22% | ||||||||||
| Duke Fuqua | 22% | 18% | 24% | 24% | ||||||||
| Michigan Ross | 32% | 16% | 21% | |||||||||
| Yale SOM | 38% | 22% | ||||||||||
| Tuck | 38% | 21% | 21% | |||||||||
| UCLA Anderson | 34% | 34% | 38% | 28% | ||||||||
| UVA Darden | 27% | 30% | ||||||||||
| Carnegie Mellon Tepper | 17% | 35% | ||||||||||
| Cornell Johnson | 32% | 18% | 21% |
Search fan-out
One question quietly becomes many. These are the hidden sub-searches the models run on their own to answer a category question, the content brief they wrote themselves: rankings and outcomes dominate.
Most frequent sub-queries
Citation flow
Read left to right: the kind of question on the left, the source AI cited on the right. Aggregators and a broad long tail dominate; school sites are a thin slice.
Citation sources & page types
Across all citations, only 9% point to school sites and 29% to aggregators. Of the school pages that are cited, the mix skews to programs and homepages over rankings and outcomes.
Citation sources by side
Cited school page types
Google AI Overviews
An AI Overview appears on 69% of the 772 category keywords, the highest-volume AI surface. Even Google's own AI leans on third parties over the schools, the same pattern as the chat engines above: schools are cited mostly on their own names, and on non-branded discovery queries citations concentrate on a few. Tap to focus.
Citations by school (total / non-branded)
Top cited domains
Where does your brand land?
This is the AEO Index: two-layer AI visibility measurement, methodology sound enough to tell signal from noise, for any industry. We can build your category's index, and your brand's position in it, the same way.
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