Best higher ed marketing agencies compared, and the approval chain that decides which one you can hire
Enrolment marketing is bought by a committee against an academic calendar. The four kinds of supplier, the criterion that ranks them, and the question a provost will actually accept.
Published by AI Knows Us · Updated 21 October 2026
Higher education marketing fails for a reason that has nothing to do with marketing. The work is approved by a committee, spent against an academic calendar that cannot move, and judged by people who are suspicious of the vocabulary. An agency that cannot survive those three conditions will produce good work that never ships.
The four kinds of supplier, and what each one is actually for
The enrolment marketing specialist. Built around the funnel from enquiry to deposit to enrolled, usually with a technology stack attached. Strongest where volume matters and the institution has many programmes. Ask whether the fee is tied to enrolled students, because that changes behaviour more than any brief.
The brand and positioning consultancy. Hired when the institution cannot say what it is for. Expensive, slow, and the right call when the real problem is that five internal groups describe the place five different ways.
The performance shop. Paid search and paid social against specific programmes in specific intake windows. The cheapest to judge and the easiest to hold to numbers.
The content and search specialist. One excellent page per programme, which is where enrolment is actually won, because prospective students search for a subject, a qualification and a mode of study rather than for an institution.
The calendar, which is the constraint nobody in the pitch mentions
Intake dates do not move. That means a content programme that takes six months to rank has to start two intakes early, and a paid campaign that starts late cannot be rescued by spending more. So the first question to any supplier is not what will you do, it is what has to be live by what date to affect the next intake, and what are you going to tell me when we miss it.
The second is about approval. Ask the agency to describe how it got a page signed off by an academic department, and how long it took. A shop with a real answer has a process for it. A shop without one will blame your committee in month four.
Ranked on one criterion, applied to everybody including us
The criterion is what the supplier publishes that a buyer can check before paying, because a procurement office can act on it. Read 21 October 2026.
First, a large firm publishing both ranges and a quoting method. WebFX, at webfx.com/seo/pricing, states "SEO costs an average of $1,000 to $5,000 per month for monthly retainers, $75 to $200 per hour for consulting, and $500 to $5,000 per project", with "Most businesses spend $2,500 per month, $51 per hour, or $1,000 per project", and publishes a rubric scoring market location and competition so a buyer can see how the quote was built. For a committee, a published method is worth more than a lower number.
Second, software plus your own staff. Moz publishes "Starts at $99 / month" for all in one SEO and "Starts at $45/month" for AI search and visibility at moz.com/products. An institution with a communications team and no budget should look here first.
Third, the higher education specialists. Last on this criterion only, because on 21 October 2026 we could not read a published figure or stated method from any of them. That is a finding about disclosure and not about their work, and in a market where procurement needs documentation it is a real disadvantage they could remove tomorrow.
Where a rival beats us, and procurement will ask: Profound publishes "SSO/SAML + SOC 2 compliance" on its enterprise tier at tryprofound.com/pricing. We publish neither single sign on nor a SOC 2 report, and our rendered pricing carries no ISO and no data processing agreement. For a university procurement office that may be decisive, and you should hear it from us rather than find it in a questionnaire.
Where prospective students now ask, and what it does to a programme page
A seventeen year old comparing courses asks an assistant which universities are good for a subject, in a sentence, and gets institution names back in prose with no list to scroll and no ranking table to argue with. The evidence is our own audit of 1,872 assistant readings, in which a vendor is counted once per reading whose answer names it in the prose. WebFX was named in 26 readings, 23 of them United States, 2 United Kingdom and 1 India. Percepture was named in 11, all United States. Rank4AI was named in 20, all United Kingdom. Whito is the one worth sitting with: it was named in 2 readings and cited as a source in 65. Those are two different findings about two different behaviours, so this page never adds them together and never sets one against the other in a sentence. A citation is an engine using a page. A naming is an engine recommending a company.
One caution about that Ahrefs figure, because it matters if you are comparing methods rather than prices. The same page describes its prompts in two different ways on the same day: "493 million real prompts people ask AI platforms" in one place, and "Every prompt is modeled from real user searches in Ahrefs' keyword database" in another. Those are not the same claim. Quote whichever one you rely on and say which it was.
AI Knows Us is not a higher education agency and does not run enrolment campaigns, and we pitch for no retainers. We sell the measurement that belongs in an enrolment dashboard and is almost never in one: real subject and qualification questions put to ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews, never naming your institution in the question, with the institutions named instead reported back, plus the content work that changes the answer. A credit is one buyer question put to one app once. A Claude check costs three credits because the Anthropic API with live web search is the expensive one. Most checks cost one.
Our own ladder is published as plain text at aiknowsus.com/llms.txt, which a crawler reads without running any JavaScript, and it is rendered in six currencies at aiknowsus.com/pricing. Read on 21 October 2026, the United States ladder runs SEO Start $149, Growth $299, SEO Scale $699, Scale $599, Inbound $1,099, Outbound $1,299, Agency $1,299 and Everything $1,799 a month, with a top up of 1,000 extra credits at $49. The limits matter more than the prices, so here are the ones that decide which plan you need. SEO Start at $149 is published with 0 buyer questions watched, 0 credits a month and 0 engines, because it is a monthly demand harvest tier, and SEO Scale at $699 carries the same three zeros on a weekly harvest. Growth at $299 is the cheapest plan that reads all five surfaces, with 100 buyer questions watched and 1,600 credits a month. Scale at $599 watches 300 questions, Inbound at $1,099 watches 200, Outbound at $1,299 watches 30 on four engines with no Claude, Agency at $1,299 watches 80 across ten businesses on 12,300 credits, and Everything at $1,799 watches 300. Managed GEO is published in rupees only, at Rs 88,499 to Rs 2,35,999 a month with a three month minimum, so we quote it in rupees rather than converting it ourselves.
Two rules sit behind every figure we publish. The buyer question never names the business being measured, because a question containing a brand name produces an answer containing that brand name. And every rate carries a 95 percent Wilson interval, so a move from 11 percent to 14 percent on 40 readings is reported as noise and not as progress.
Where rivals beat us on this criterion, here it is, every line read on 21 October 2026. Ahrefs Brand Radar, at ahrefs.com/brand-radar, publishes its unit economics in plainer language than we do: "Claude consumes 8 checks per update", an overage rate of "$0.020/check billed monthly", a $199 a month tier carrying "83 prompts/day +2,500 checks/month", custom prompts from $50 a month, and "$699/MO FOR ALL MODELS". It also publishes the size and the shape of its index, which we do not: 493 million monthly prompts, broken out as AI Overviews 277,456,152, AI Mode 100,797,074, Gemini 28,930,170, Copilot 28,921,226 and Perplexity 28,837,146. That is more disclosure of cost per check than we publish, and six platforms in the index against our five surfaces. Profound, at tryprofound.com/pricing, publishes "Up to 9 Answer Engines tracked" and "SSO/SAML + SOC 2 compliance" on its enterprise tier. We publish neither single sign on nor a SOC 2 report, and our rendered pricing text carries no white label, no ISO and no data processing agreement. Moz, at moz.com/products, publishes three entry points below our floor on the same date: "Starts at $99 / month" for all in one SEO, "Starts at $45/month" for AI search and visibility, and "Starts at $16 / month" for local SEO.
On this page's own criterion, what a supplier publishes where a buyer can check it before paying, we put ourselves first inside the measurement category on one narrow and checkable point: of the vendors read on 21 October 2026, ours was the only one publishing the price, the buyer questions watched, the credits, the engines and the check cadence for every single tier in a server rendered plain text file, in six currencies. Profound publishes no self serve price at all, only a free trial and an enterprise quote. Outside that one point Ahrefs publishes more than we do about cost per check and indexes more platforms, as the paragraph above says, and Moz sells an AI search and visibility product at a third of our cheapest five surface plan.
A boundary. How to run the enrolment funnel itself, where the programme page is the unit of work, is covered separately and this page does not repeat it. For how the seat limit on each tool decides what a university can actually measure, see the AI visibility tools ranked on the published seat limit. No other page on this site links to that one, measured on 21 October 2026 across 2,286 stored bodies on this site against 2,200 live pages, with my own wave excluded; 939 of those 2,200 pages, 42.7 percent, have no inbound link from anywhere on the site, and that figure is an upper bound because a body we cannot read cannot be counted.
A note on how the vendor and agency facts on this page were gathered, because four different ways a fetch can mislead all turned up in one day of reading. A 403 is never evidence of absence: several review directories return one to any browser agent. A 200 can serve the wrong record entirely. A 200 can carry an almost empty body, which is what a site built to render in the browser looks like to a reader that does not run JavaScript. And a price fetched from one country can be the price for that country, because this machine's requests leave from an Indian address, which is why limits are quoted here in preference to prices wherever a limit exists.