An AEO Index measures how prominently universities and programs appear in AI-generated answers across ChatGPT, Perplexity, Gemini, and Claude. It tracks mention frequency, listing position, platform consensus, and share of voice, giving institutions a data-driven view of AI visibility compared to competitors.
Harvard leads.
Wharton dominates volume.
The other five are competing for what's left.
Arcalea ran 60 prompts across ChatGPT, Perplexity, Gemini, and Claude to measure which M7 Business Schools appear in AI-generated answers, and how prominently. The results reveal a two-tier system, platform-level divergence, and a visibility gap that traditional SEO doesn't explain.
Composite Score
Response Rate
M3 and M4
Consensus M7
Who AI recommends
when applicants ask.
Composite score is a weighted blend of mention frequency, listing position, platform consensus, and share of voice. A higher score means stronger, more durable AI visibility across all four platforms.
| # | School | Mentions | AI Response Rate | Position Power | AI Share of Voice | Composite |
|---|---|---|---|---|---|---|
| 1 | Harvard Business School Top Tier | 91 | 56.9 | 0.919 |
|
0.506 |
| 2 | Wharton Top Tier | 98 | 61.3 | 0.832 |
|
0.501 |
| 3 | Stanford GSB Top Tier | 90 | 56.2 | 0.876 |
|
0.495 |
| 4 | Kellogg Mid Tier | 86 | 53.8 | 0.647 |
|
0.442 |
| 5 | Columbia Business School Mid Tier | 63 | 39.4 | 0.675 |
|
0.404 |
| 6 | MIT Sloan Mid Tier | 62 | 38.8 | 0.660 |
|
0.399 |
| 7 | Chicago Booth Mid Tier | 61 | 38.1 | 0.620 |
|
0.389 |
|
+14 extended competitors and intermediaries are ranked in the full report, including NYU Stern, Michigan Ross, INSEAD, Duke Fuqua, and ranking publications (Financial Times, Fortune, Bloomberg Businessweek) that compete directly for AI response real estate. Get the Full 21-Entity Report |
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Each AI platform recommends
a different school.
What the data actually says.
Three findings that change how you think about AI visibility in higher education.
Harvard, Wharton, and Stanford average a composite of 0.501. The remaining four average 0.408, a 9.3-point gap that doesn't close in any single category or on any single platform. Being in the M7 is not the same as winning in AI search.
The Financial Times earns a composite of 0.331, higher than every extended school competitor and higher than Yale SOM. When AI engines respond to MBA queries, they often cite intermediaries rather than schools directly. The FT is effectively a competitor for AI attention.
Harvard wins the composite ranking with fewer total mentions than Wharton because it almost always appears first. Position Power (0.919 vs. 0.832) is the deciding factor. Frequency without position is noise. Institutions should optimize for being named first, not named most.
21 entities ranked.
6 query categories.
Platform-by-platform breakdown.
The full AEO Index report includes all extended competitor and intermediary rankings, category-level breakdowns (Discovery, Comparison, Solution, Educational, Problem-Aware, Local), platform divergence analysis, and methodology documentation.
AEO in higher education, explained
In Arcalea's March 2026 M7 AEO Index, Harvard Business School holds the top composite score (0.506), with Wharton second (0.501) and Stanford GSB third (0.495). Wharton generates the most raw mentions, but Harvard wins on position power; it almost always appears first when cited.
Traditional SEO optimizes for ranked results on Google. AI visibility (AEO) optimizes for being cited as the answer when a prospective student asks ChatGPT or Perplexity a question. The mechanisms are completely different: 47% of AI citations come from pages ranking below position five in traditional search.
Each AI platform has distinct training data, retrieval mechanisms, and ranking logic. ChatGPT favors Harvard and Columbia, Claude distributes more evenly with strong Kellogg performance, Gemini favors Stanford, and Perplexity shows the strongest position-power skew. Visibility on one platform does not predict visibility on others.
The biggest opportunity is in category-level AI queries: questions prospective students ask before naming a specific school, like "best MBA for finance" or "is an MBA worth it." Institutions that own these high-volume, high-intent queries through structured data and answer-first content capture prospective students before competitors enter the conversation.
The highest-impact improvements are FAQPage schema on program pages, answer-first content architecture (leading with a direct answer in the first 40-60 words), original research that AI engines prefer to cite, and E-E-A-T signals (faculty credentials, outcomes data, third-party citations). Arcalea's AEO audit identifies exactly which signals are missing and prioritizes fixes by expected citation lift.