Education & Training Providers

AI gives prospective students wrong fees, outdated entry requirements, and discontinued programmes.

Tuition changes annually. Programs are discontinued, restructured, or renamed. Entry requirements shift. AI systems tell prospective students the wrong information — and they make enrolment decisions on it.

AITWIRE helps universities, colleges, training providers, and bootcamps keep programme details, fees, and entry requirements accurate in AI answers — and captures enrolment enquiries through AI.

AI Drift Monitor — Education & Training Providers

highChatGPT

ChatGPT quotes 2024 tuition of $18,500 — 2026 fee is $21,200

highPerplexity

Perplexity recommends BSc Computer Science — programme merged into Software Engineering

mediumAI Overview

AI Overview states IELTS 6.5 requirement — updated to 7.0 for September 2026 intake

lowAudit

Missing Course schema on 40+ programme pages — not structurally indexed

AI quotes last year's tuition fees

Fees increase annually. AI systems trained on last year's prospectus, archived fees pages, and student forum posts still quote the old amount to prospective students who ask. Wrong fee information creates expectation mismatches at the point of application.

Discontinued programmes still appear in AI recommendations

A programme you retired or merged with another still appears in AI answers to prospective students. They apply, find it doesn't exist, and lose trust in your institution. AI has no way to know a programme is gone unless you publish the deprecation authoritatively.

Entry requirements are wrong or outdated

Grade thresholds change, prerequisite subjects are updated, English language requirements shift. AI systems cite the requirements from your 2023 prospectus to prospective students applying for 2026 entry. Wrong entry requirements create wasted applications and disappointed candidates.

Competitors dominate 'best [course] programme in [city]' queries

When prospective students ask AI to compare programmes, institutions with complete structured data — Course schema, FAQ schema, institutional accreditation in JSON-LD — appear more prominently regardless of actual ranking.

How AITWIRE fixes it

Course and programme schema

Publish Course and EducationalOccupationalProgram JSON-LD for each active programme with current fees, duration, entry requirements, and application deadlines. When AI is asked about your programmes, it retrieves today's details.

Institution entity anchoring

Publish EducationalOrganization JSON-LD with current accreditation, rankings, locations, and contact details. Prevents AI from confusing your institution with similarly named colleges or showing outdated accreditation status.

Entry requirements governance

Assert canonical facts about your current entry requirements per programme. Fact Governance detects when AI outputs describe requirements that no longer apply — before they mislead a prospective student mid-application.

FAQ schema for prospective student questions

Publish FAQPage schema for the questions prospective students ask AI: fees, scholarships, accommodation, visa requirements, career outcomes. When they ask AI about studying at your institution, they get your authoritative answers.

Enrolment enquiry capture through AI

AITWIRE's commerce widget lets prospective students ask questions about programmes, book open days, or request a prospectus — directly in the AI conversation, without leaving to navigate your website.

Alumni and outcomes accuracy

Graduate employment rates, salary outcomes, and industry placement data are frequently misquoted by AI. Assert canonical outcomes data and monitor when AI systems cite outdated or inaccurate graduate statistics.

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