Accreditation bodies
AACSB, EQUIS, AMBA for business schools; regional accreditation for universities; ICEF, QAA for international quality. Models cite accreditation as the strongest "this is real" signal.
Use case · Education & training
When prospective students ask AI which program to pick, you need to be in the answer.
Education prompts are recommendation-style and high-trust. Models cite accreditation bodies, rankings and alumni outcomes - and the answers shape enrolment decisions months before a single visit-day. Intendity tells you exactly where you stand.
The prompts
How prospective students actually ask.
Not "MBA programs near me." Real comparison and validation questions, asked of an assistant that returns three to five named programs with one-line credentials each.
- › best European MBA programs for tech leadership
- › is [your school] worth it for someone changing careers
- › top online certificate courses in data engineering
- › most respected design schools in the Netherlands
- › alternatives to [competitor] with better job-placement record
The sources models cite for education.
The pool tilts heavily toward authoritative bodies - accreditation, rankings, outcome data - with peer discussion (Reddit, alumni testimonials) on the next layer.
Rankings (FT, QS, US News, regional)
For comparison prompts, models lean heavily on published rankings. Top-25 placement on a relevant ranking changes the default answer for an entire prompt cluster.
Wikipedia program & institution articles
Even brief, well-sourced Wikipedia entries shape the model’s baseline summary of your school or program. Outdated entries propagate across answers for years.
Alumni outcome data
Models surface placement statistics, average salary uplift and notable alumni. Schools that publish structured outcome data win comparison prompts disproportionately.
Trade press & education publications
Times Higher Education, Poets&Quants, EdSurge, regional education media. A profile in the right outlet shifts model framing for a full enrolment cycle.
Reddit (r/MBA, r/GradSchool, r/learnprogramming)
Authentic peer discussion is heavily cited for "is X worth it" prompts. Cohort experience trumps marketing copy in model trust signals.
Six plays Intendity will recommend.
Each tied to specific evidence - the accreditation page, the ranking entry, the outcome-data schema that’s shaping (or losing) the model’s default answer.
Accreditation visibility
Make accreditation status crystal-clear on the homepage and in Organization schema. Models reward unambiguous signals; vague accreditation gets summarized as "less established."
Outcome-data structured publishing
Publish placement, salary uplift and admit-yield statistics with EducationalOrganization schema. Models cite verbatim into "is X worth it" answers.
Country-by-country tracking
Models surface different shortlists by region. A program strong in EN-US can be invisible in DE-DE. Track per locale, then localize PR placements.
Wikipedia program presence
A sourced Wikipedia article (or a meaningful update to an existing one) shapes the baseline model summary for years. Coordinate with PR for the source citations.
Alumni-led narrative
Notable-alumni framing is heavily cited. Encourage prominent alumni to be linked back via Wikipedia and trade press - each named alum becomes a citation pathway.
Cross-program portfolio strategy
A flagship program lifts associated programs in adjacent prompts. Map your portfolio against buyer prompts so investment compounds across the catalogue.
See how AI describes your programs.
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