How Students Use AI Search to Compare Courses: What to Verify

An AI assistant compares courses using what it can find and cross-check

When an applicant asks an AI assistant to compare three courses, the answer is assembled from public pages: your course page, official listings, review sites and league tables. A fact that is vague, undated or contradicted elsewhere gets dropped, distorted or replaced by a third party's version.

We found no public study measuring how many UK applicants compare courses this way. The research we located covers students already enrolled, not prospective applicants, so this article uses no usage statistic. It starts from something checkable, how these systems pick sources, and builds a method from there.

Google states that its AI features choose supporting pages while generating a response, and that no special optimisation is required to appear, in its AI features documentation. The lever is therefore not a trick. It is the quality and verifiability of your course pages.

This piece builds on our work on AI recommendation criteria and programme page markup. For the wider picture, see our guide to recruiting more students.

What applicants actually ask when they compare

Comparison questions concern facts anyone can check. The table links each question to what to publish and where it can be verified.

A page that answers these six lines in plain text, not buried in a PDF prospectus, is easier to quote accurately than most competitors' pages.

Make each course page a record that can be checked

A verifiable page states precise facts, names its source and shows when it was last reviewed. An assistant cannot judge your sincerity; it can only look for statements it can corroborate.

Five rules are enough to start:

1. One course title everywhere. Course page, UCAS listing, prospectus, Discover Uni entry and clearing pages should use the same name. A marketing variant looks like a second course to a machine.
2. Regulatory status in plain words. Say who awards the degree, whether the provider is registered with the Office for Students and what level the qualification sits at. Do not imply a status you do not hold.
3. Dated fees. State the fee for each year of entry, what it covers and what costs extra. An undated figure goes wrong silently.
4. Sourced outcomes. Any employment or satisfaction measure should name the survey, year and population, with a link. The consumer protection duties that apply to course information are explained in the CMA's guidance for higher education providers.
5. A visible review date, changed only when the content really changes.

Point to official registers instead of replacing them

The strongest trust signal is a link to the official source. The Office for Students register lists registered providers, and the QAA publishes quality assessment information. Link to them where you make a claim about status or quality.

These links serve two audiences. The applicant checks in one click. The assistant gets a second source that confirms, or contradicts, your page. If it contradicts, you want to find out before it does, so compare your pages with the official entries regularly.

Avoid loose wording such as "fully accredited" when the status is more specific. Write exactly what the register says.

Align the website, listings and documents

An assistant also reads listings, forums and PDFs. If your page says one thing and a listing says another, it may quote either, or flag the inconsistency.

Run a simple inventory for each course:

• the course page and any translated versions;
• the UCAS course listing and any clearing page;
• the Discover Uni entry;
• the PDF prospectus and open day pages;
• your Google business profile and social pages.

Give each sensitive field (title, duration, fees, entry requirements, start dates) a named owner in the team. The usual cause of contradictions is not bad faith. It is a prospectus left on last year's version.

Structured data helps machines read, it does not guarantee citation

Structured data makes facts machine-readable. Google documents Course structured data, and the vocabulary is defined at schema.org/Course.

Two cautions. The markup must match what is visible on the page, so do not mark up a fee or a label that is not there. And no official source promises that markup leads to an AI citation. Treat it as good housekeeping, not a guaranteed lever.

Test what assistants say about you, on a schedule

The only way to know what an assistant claims is to ask the questions an applicant would. Each term, put the same prompts to several assistants and note the discrepancies.

Keep the answers and the test date. Results vary from session to session, so a test is an alert, not a statistical measure. Our article on Gen Z AI school search covers these journeys in more depth.

What an on-site agent adds, and what stays with the institution

Skolbot Chat is an agent installed on the institution's website. It answers applicants from content the institution has published, qualifies the enquiry, offers an appointment or open day and passes the conversation to the team and the CRM. It supports advisers rather than replacing them.

Its relevance here is direct: an agent can only answer correctly if the pages are correct. Recurring questions without a clear answer on your site show which pages to fix. Nothing guarantees, however, that an agent on your website changes what an external assistant says about you; those are separate channels.

Checking the facts remains the institution's responsibility: regulatory status, fees, outcomes. No tool takes that over.