Grow · Enrollment

Most inquiries go cold before anyone answers.

And the ones that never reach you were answered by an AI engine that named someone else.

The KPI we own

Enrolled students, per term.

Who we replace

Marketing agencies and per-lead vendors.

Lane 01

AI Enrollment Visibility

Every answer names a college. The only question is which one.

↑Visibility up

More students reach you.

↓Visibility down

Competitors take the ground.

There is no neutral answer. Every month, that pool is either growing or shrinking.

How we measure it

Being named is not being chosen.

01

The panel

Thousands of student questions, four engines, by program and campus. None of them names you.

02

Named, or recommended

We report both, and we name the school recommended in your place.

03

Whose pages AI is reading

Every citation behind every answer. Your own site is usually a sliver of it.

04

The scorecard

Ten principles, graded, technical and content split. Measured recurrently.

The report

What lands on your desk.

AXIA | AIReal panel · Institution covered
60.9%
of AI answers named them
1,679 of 2,756
40.4%
of those mentions
recommended them
7.4%
of everything AI cited
was their own site
The ten-principle scorecard from a real AI Enrollment Visibility report: each principle graded in a band, with what the run found and the move since the previous run.

A real panel from a real school. The institution and every competitor it names are covered. Ten principles, graded in bands, never a numeric score.

What we are selling

Share is the diagnosis. Students are the point.

Students

Not a percentage. Every position is read against your inquiry volume and your conversion, and scored against what actually starts.

Sentiment

Appearing is not being described well. Cost and aid is where most schools are silent, and it weighs most on enrollment.

Brand

Whether the engines describe the institution you actually are, and which competitor gets named in your place.

Lane 02

Enrollment agents

Who does the work

Four agents. One admissions desk.

Lead Qualifier

Answers within minutes across voice, SMS, WhatsApp and email, in the student's language, and writes a yes or a no to your CRM with the reason.

Your officer gets a decision, not a transcript.

FAQ

Answers program, cost, deadline and requirement questions from your own knowledge base, in the thread the student is already in.

Anything outside it routes to a person.

Scholarship Strategy

Sets a staged offer inside your own discount caps. Scholarships with deadlines against list price, never a different price per person.

The agent recommends. Your officer offers.

Back Office

Builds each applicant's document file from your CRM, chases what is missing, and cuts hours per file to minutes.

It evaluates documents, never people, and never decides admission.

The agent recommends or verifies. The officer decides.

Test it out →
Accountability

Read by experts before it reaches you.

Five reviewers audit every report before it ships. Anything one of them cannot reproduce does not go out. We run the same panel on Axia, and we show you our own numbers before we ask to see yours.

Early partners only.

Put the funnel
on an operator.

We take over contact, qualification and pricing, and report enrolled students per term.

Early partners only.

Talk to the operators →