Airgentic for Higher Education
Everything they asked for. Nothing they didn't.
Conversational search and discovery for higher education. Students find the program that actually fits, journalists find the right academic, and every answer comes from your real course, event and research data, not a keyword guess.

Airgentic in under 60 seconds
Your website already has the answers.It just can’t turn a sentence into a search.
Every visitor arrives with hard limits: not online, not that campus, shorter than a full degree. Miss one and the answer is confidently wrong, and the student quietly leaves.
Put your own numbers on it: course-page traffic, application conversion rate, and the fee value of one extra international enrolment. A fraction of a percentage point is material, and it is leaking where you cannot see.
Why this is a live decision, not a next year project
- Students have been trained to ask, not browse — They arrive from AI answer engines expecting a conversation, and they judge you on the first question.
- Legacy search migrations are forcing the decision anyway — Airgentic is more than a search upgrade. It has a measurable impact on business metrics.
Six specialists, one conversation
Each agent owns one part of the student journey, with its own instructions, sources and limits. Students never have to choose one: a frontline agent reads the question and passes it to the specialist that owns it, on the same hybrid search, facets and curated answers that power your search page.
Study Pathways Concierge
Narrows the right course from a goal and a set of hard limits — not online, that campus, shorter than a full degree — asking only questions your catalogue can actually answer.
Enrolment Concierge
Applying, early entry, accepting an offer, enrolling, census and critical dates, fees, and credit for previous study, answered from your own pages.
Events Concierge
Open days, info sessions, workshops and seminar series, including what is on in a named month or period: "I'm away in August — is there an open day before then?"
Careers Advisor
A short guided conversation about interests, strengths and the kind of work they want, ending in one best-fit career and the study that leads to it. It never promises a job or a salary.
Future Student Experience
For students who lead with their situation rather than a course — Year 12, a career change, a move. A short interview builds a personal, shareable plan page.
Academic Expertise
Finds academics by research field, method or school, for industry partners, journalists and prospective research students looking for a supervisor.
Three questions that separate real discovery from autocomplete
Every vendor demos well on easy questions. These are the three that expose the difference. Bring them to your own evaluations and make each vendor type them live.
The negation problem
- The question"Can I do an MBA, but not online?"
- Most platformsRetrieve the passages that mention "MBA" and "online" and summarise them. There is no field for the negation to attach to, so it returns online MBAs — the exact opposite of what was asked.
- AirgenticConverts the negation into the delivery modes that actually exist in your catalogue, applies them as an exact filter, and tells the student which constraints were used.
The half-formed goal
- The question"I want a career in healthcare but I'm not sure about nursing. Melbourne or online, and shorter than a full degree?"
- Most platformsFlatten the sentence into one bag of keywords. The "or" disappears, the duration is ignored, and "not nursing" still surfaces nursing — because the word is sitting in the query.
- AirgenticKeeps "healthcare" as the semantic goal and "nursing" deliberately out of it, then turns the rest into validated fields: Melbourne or online as one OR group, sub-degree levels and durations only.
The real calendar
- The question"What's on during the school holidays, and again in the last week of November?"
- Most platformsStore one date per page, so a six-week seminar series becomes one long event — and a single from-and-to box cannot express two separate windows anyway.
- AirgenticIndexes every occurrence with its own dates, including series that skip weeks, and matches as many separate time windows as the person asks about.
Then it shows its work, and lets them take it with them
Airgentic states which constraints it applied and links through to the same filtered results page a person would reach. Then comes the part that turns browsing into intent: "Save the three that fit and email them to me." No form, no friction, and you gain a self-qualified, permissioned, high-intent contact. Research partners and journalists do exactly the same with experts.
Precision is an architecture, not a prompt
Airgentic does not ask a language model to be careful. The agent produces a structured plan, and the platform checks every value against your live index before the search runs.
- Ruled-out topics stay out — “Not nursing” never reaches the query, so it cannot drag nursing back in.
- Values are checked, not invented — Airgentic cannot offer a campus you do not have.
- The answer and the link match — “View all matching courses” opens exactly the results the student was told about.
It asks the questions your catalogue can actually answer
Students rarely arrive with their constraints ready. They type “I want to study science” and wait. So the agent asks, using only the facets and values in your index.
- Every question narrows something real
- Your team chooses which facets agents may use
- When the list is still long, it helps the student narrow further

Your students tell you what they need every day. Now you can read it.
Every conversation is a student telling you, in their own words, what they want. Airgentic groups those questions into themes and sorts them into categories you define, each with a named owner.
What you find out
- Which programs are generating real demand, ahead of application data
- Where enrolment journeys break down
- What current students cannot find
- Which themes are emerging that nobody planned for

Guidance that reflects where the student actually is
Airgentic tailors its agents by country (entry requirements, scholarships, in-country agents and events, study-mode restrictions) and answers in the student’s own language.
It does not assume, though. Visitors are treated as domestic students unless they mention overseas context, so domestic enquiries are not pushed down an international funnel.

Your team stays in control
Airgentic answers only from your approved content, and your team decides what it says, what it prioritises and when it brings in a person.
- Guardrails per agent, with answers you can pin or override
- Change messaging mid-enrolment without a release
- Restrict sensitive content to signed-in staff and students
- Role-based access, audit trails and AU/NZ data residency
And for the people who sign it off: one script tag, Google Tag Manager or a CMS plugin. Live in minutes, not a three-month project.
Ask every vendor to demonstrate these live
Easy questions make every demo look good. Ask each vendor to do these live, on your own content.
- Handle “not”, “or” and ranges: “an MBA, but not online”, “Melbourne or online”, “shorter than a full degree”.
- Show which filters were applied, and link to the matching results page.
- Prove it cannot invent a campus, study level or delivery mode you do not offer.
- Ask clarifying questions drawn from your own data, not a script.
- Find events across two separate date windows in one question.
- Find academics by research field and method.
- Let a student shortlist results and email them to themselves.
- Change a specific answer without a software release.
Still have questions?
Ask our AI — get cited answers about precision discovery, program finding, expert search and conversational intelligence for universities.



