Solutions
Eye for College
See how prospective students get answers about programs, admissions, and outcomes—and make sure your institution is represented accurately across answer engines.
Outcomes teams care about
Eye turns model behavior into visibility, citations, and concrete next steps you can validate.
Improve discoverability
Track which programs and topics trigger mentions of your institution.
Fix misinformation early
Monitor sentiment and narrative drivers to catch inaccurate claims quickly.
Understand comparisons
See which schools appear alongside you and where they outrank you.
Earn credible citations
Track the domains and pages models cite when recommending institutions.
What you’ll actually do in Eye
Use a small set of repeatable workflows that keep the depth while staying easy to act on.
Map student intent prompts
Admissions, cost, scholarships, outcomes, majors—modeled as repeatable prompts.
Track share of voice
Measure mentions and position against peer institutions across engines.
Audit citations & sources
See which domains show up in answers and where you need stronger coverage.
Monitor reputation signals
Identify negative drivers and validate improvements over time.
Export for stakeholders
Create concise exports for leadership, comms, and marketing teams.
Validate after updates
Re-run prompt sets to confirm changes are reflected in model outputs.
See the depth you get—without the clutter
Drill down from charts and tables into evidence, sources, and changes across runs.
Share of voice vs peers
Track who dominates recommendations for programs and outcomes.
Cited domains over time
See which sources power education answers and how they change across runs.
Competitive matrix
Understand peer positioning and where you’re losing visibility.
Top brands (peers)
See which institutions show up most in AI recommendations.
Ready to see how AI represents you?
Create a project, add prompts, and start measuring visibility across answer engines in minutes.