Best AI visibility tool for a university, ranked on the published seat limit, because the buyer is thirty departments inside one domain

For a university the binding constraint is not the engine list, it is the seat count. One domain carries thirty buying centres: admissions, each faculty, research, alumni, the business school, the international office, estates. Every one of them wants its own view, and that is the line on a pricing page a university should read first. Measured on 21 October 2026, four vendors publish unlimited seats or users, Scrunch publishes five licences on the tier you can buy, Ahrefs and Semrush sell extra users by the month, Depra publishes no seat line at all, and we publish one login on every plan. On this criterion we rank last, and that is the honest order.

What six readings of a university question actually produced

In the second audit, one question, how does a university get recommended by AI assistants, was asked on ChatGPT and Gemini in three markets. Three of the six readings named an AI visibility vendor. Both names that came up were general search suites rather than specialists:

Measure, 6 readings	Result
Named any AI visibility vendor	3 of 6
Split by app	ChatGPT 1 of 3, Gemini 2 of 3
Vendors named	Semrush, Ahrefs
Named one of the eight AI visibility specialists	0 of 6
Named structured data on your own pages	3 of 6
Named a company profile	2 of 6
Named press or earned media	2 of 6
Named AI Knows Us	0 of 6

The source domains behind those answers are worth a line of their own. After the engines' own documentation, the most cited site was a higher education marketing agency, nine times across the six readings. An assistant answering for this sector reaches for sector specialists, not for the monitoring category.

The seat line, vendor by vendor, read on 21 October 2026

Vendor	What the page publishes about logins
Profound	"Seats: Unlimited" on both published plans, and an FAQ stating both plans include unlimited seats
Peec AI	"Unlimited users on every plan, so your entire marketing team can work together"
Otterly.AI	"Unlimited Team Members" on every published tier
Rankscale	"Team workspaces (unlimited seats). Invite your entire team, no per-seat charges"
Scrunch AI	Five user licences on the tier you can buy, custom licences on the unpriced tier
Ahrefs	One user included, extra users sold per user per month, capped by plan at two, five, ten or unlimited
Semrush	Additional users sold as a monthly add-on, per user
Depra AI	Its plan cards name no seat, user or login limit, so a university cannot check this from the page
AI Knows Us	"Logins included: 1, full access" on every plan, with no published way to add a second

So the ranking for a university runs: the four unlimited vendors first, Scrunch next because five licences cover a core team, then Ahrefs and Semrush because a university can add a faculty and knows what it costs, then Depra because the page does not say, then us.

Why we publish one login, and what to do about it

Our pricing page answers this directly. The question on it is why we do not charge per person, and the answer is that our cost is asking the AI apps and writing pages, not headcount, so there is one login with full access and the tracking log exports any time. For a two person marketing office that is cheaper than per seat pricing. For a university it means one person holds the account and sends each dean an export, which works and is slower than handing them a dashboard. If simultaneous departmental access is the requirement, three of the vendors above publish it on their entry tier and we do not.

Being fair about the rest of the comparison: Peec, Otterly, Profound and Depra publish a daily checking cadence where we publish weekly with extra checks on demand, Rankscale publishes an hourly option, Peec and Rankscale publish a changelog and we publish none, Profound names a security certification and we name none, and we publish no single sign-on. Where we are ahead is narrow and checkable. Our pricing page names all five surfaces it reads, ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews, and the Visibility API renders on GEO Scale and Everything. And we publish counts like the six above, including the fact that our own name appeared in none of them.

Where the seat problem actually bites in higher education

• The programme page is the unit, not the brand. A buyer asks about one course, one entry requirement, one fee, one intake. Thirty departments means thirty question banks, which is why the tracking seat and the question allowance get used up together.
• The international office asks a different question from admissions. Our GEO Scale tier publishes questions asked in your city and in your language, and the source mix per market, which is the tier an international recruitment team would need.
• Press and the sector press carried two of six readings. A ranking mention or a sector agency page can hold the answer, so the monitoring has to report the source domain, not just a score.
• Structured data appeared in three of six. Course, fee and entry requirement in plain text on the programme page is unglamorous work that every one of these tools will tell you to do.

The programme page as the unit of work is covered in our page on higher education marketing and the programme page. It carried no inbound internal link when we counted, which is true of 964 of our 1,987 live pages.

Questions about AI visibility tools for a university

Does one login really stop a university using this?

It changes who holds it. One account manager runs the question bank and exports the log to each faculty, which is a workable arrangement and a real difference from a dashboard each dean can open. Ask us for the export format before you commit, and ask the unlimited seat vendors what a seat can actually see.

Why did the engines name only general search suites for a university?

Three of six readings named a tool, and the two names were Semrush and Ahrefs, both of which sell a broad suite a university marketing team may already hold. None of the eight specialists appeared. A higher education buyer asking this question is being pointed at the platform its peers already use.

How many tracked questions does a university need?

Count your programmes, not your departments. One question per flagship course, plus entry requirements, fees, accommodation and visa questions for the international intake. Our Growth plan watches 100 questions on all five apps weekly at Rs 11,799 a month, and GEO Scale watches 300.

Which app should a university check first?

Check both and report them separately. Gemini named a tool in two of three university readings and ChatGPT in one of three, so a single app gives you one view of what an applicant is being told.

Can a free check tell an admissions team anything useful?

Yes. Run a free scan on your own domain and read which sites the apps used to answer a question about your courses. If a ranking site or a sector agency page carried it, that tells you where the next hour goes before any subscription starts.

A university is the rare buyer in this category whose first question is organisational rather than technical: not which app to watch, but how many people can open the thing. Read the seat line before the engine list, because on the evidence above the engines were pointing a university at the suite its neighbours already licence.