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What does an applicant hear when they ask an assistant about your program's start date or accreditation?
This list ranks eight AI visibility tools, which track how often assistants name your school, on keeping each program's questions, name, and cited pages apart, by country. We put our own GEO Agent first, as our pick.
1. GEO Agent by Qvery: A Topic for Each Program, Asked Every Day
- Topics and questions written for you from your brand, your industry and your competitors.
- Every question asked every day on ChatGPT and Google AI Mode, in the countries you choose.
- Every answer and every citation, the page an answer drew on, recorded.
- Visibility, share of voice (how often you are named against rivals) and sentiment next to competitors, by topic and by country.
- The sources the engines cite for each topic, and where a competitor is named instead of you.
Pros
- Questions written for your brand and your rivals
- Both engines, daily, in the countries you recruit from
- Results by topic and country, next to competitors
Cons
- It tracks only ChatGPT and Google AI Mode.
- Price: not published
- Your team or ours must do the page work.
We built this one, so its first place is our pick.
Inside it, Qvery Assistant answers questions about your visibility, citations, topics and questions, edits the question list, starts a run and exports a report for the program lead who wants one.
It covers two engines and no others. It measures and shows where to work; changing a program page or a listing is work for your team, or for ours as a service.
We also build custom agents and work on the pages and listings behind those answers. Those are services, separate from the GEO Agent.
2. Peec AI: A Folder for Each Program, a Country on Each Question
- Topics as folders, one per question, with visibility at the topic level.
- Tags, several per question, for filtering, comparison and export.
- A question with no country of its own takes its topic's market.
- Every chat kept with its model, the location it was asked from, the full answer and the URLs it used.
- Tracked brands with a name and a domain; aliases (other names the tool recognizes for a program) through the API.
Pros
- One topic per program, each with its own visibility
- Tags for intake, market or stage on top
- Every answer kept with the country it was asked from
Cons
- One country until the $495 plan
- Three models per plan below the custom one
- A program's other names live in the API, not the brand form
Peec AI gives each program a topic folder with its own visibility report.
3. Profound: A Category for Each Line of Programs, Each With Its Own Rivals
- Categories that keep markets, business units or brands apart, each with its own questions and competitors.
- Owned assets per category: "your brand or product", more than one allowed.
- Regions set as a country, a state or province, or a city; languages picked with a country.
- Up to nine answer engines on the custom plan, ChatGPT and Google AI Mode among them.
Pros
- Each program line gets its own rivals and questions
- Programs set as owned assets
- Regions down to a state or a city
Cons
- Category setup on the custom plan only
- No Google AI Mode in the trial
- An asset cannot be renamed after saving
Profound keeps each program line in a category with its own questions and competing schools.
4. Ahrefs Brand Radar: A Program's Name Tracked as Its Own Entity
- Your brand and competitors set as entities (names the tool recognizes, including short program names), each with name variations and URLs; several entities under your brand.
- Custom questions on the assistants you pick, Google AI Mode and ChatGPT among them.
- One or more locations per question, refreshed daily, weekly or monthly.
- Tags to group questions; custom-question data by API without using API units.
Pros
- Name variations for each program
- Both engines and several locations per question
- Arithmetic you can do before buying
Cons
- Checks multiply by every assistant and location
- Core-plan allowances cover little daily tracking
- New questions take up to a day to show data
If your marketing team already works in Ahrefs, its custom questions are the sensible first stop, in the same account as the rest of your search data.
A student might write "the data analytics bootcamp", "your DA course" or the program's full title, and only one of those is on your website.
Ahrefs prices this by the check: one question, on one assistant, in one location.
Three programs with 20 questions each, on both engines, in two countries, every day for 30 days come to 7,200 checks, just over the $100 package, so you buy the $250 one or ask some questions weekly instead of daily.
5. OtterlyAI: A Brand Report for Each Program, One Pool of Prompts
- Unlimited brand reports, brands and competitors on every plan.
- One question can feed several brand reports without costing a second slot.
- Each question tied to one country; countries and languages unlimited.
- Brand variation tracking.
- ChatGPT, Google AI Overviews, Perplexity and Copilot as standard; Google AI Mode as an add-on.
Pros
- A report per program from one shared pool
- One question can feed the school's report and the program's
- Every self-serve price on the page
Cons
- Each country uses its own question slot
- Google AI Mode costs extra on every plan
- Lite holds 15 questions
The question allowance is one pool shared across brands and reports, and one question can feed several brand reports at no extra cost, so a question about online MBAs can count toward the school's report and the MBA's.
Three programs with 20 questions each in two countries are 120 slots: Standard with one extra pack and the Google AI Mode add-on comes to $347 a month, and every self-serve price behind that sum is on the pricing page.
6. Semrush AI Visibility Toolkit: Tags by Program, in a Suite Your Team May Already Use
- Prompt Tracking on the engine you pick for each target: ChatGPT, Google AI Mode or Gemini.
- A location and a language for each target.
- Tags you apply to questions and AI-grouped Topics, compared in one Tags report.
- The full answer one click from each question, and a Sources report with every cited domain and URL.
Pros
- Tags that compare programs in one report
- The full answer behind each question
- Every cited URL in one report
Cons
- 25 questions on the $99 toolkit
- One engine per tracking target
- Unclear whether two engines use two questions
Its tags are custom labels, and the knowledge base suggests tagging by brand, location or intent; tag by program and the Tags report compares visibility, mentions and average position across them.
7. Scrunch: Personas for Each Kind of Student, With Google AI Mode on the Custom Plan
- Results segmented by persona (a typed profile of the asker), question topic, AI platform, funnel stage, branded or unbranded questions and custom tags.
- Alternative brand names in the brand context.
- The answers themselves, to check accuracy and citation sources.
- Nine engines on the custom plan, Google AI Mode among them.
Pros
- Personas for the kinds of student you recruit
- Branded and unbranded questions kept apart
- Alternative names for the brand
Cons
- One persona, one country and one language on Core
- Google AI Mode only on the custom plan
- One brand workspace on Core
Scrunch separates answers by student profile, so a school can compare what career changers and school leavers are told about the same program.
8. AthenaHQ: One Credit Buys One Answer, in One Region on Starter
- One credit buys one AI answer.
- ChatGPT and Google AI Mode on the self-serve plan.
- Unlimited topics and questions, and unlimited competitors.
- CSV export on Starter, the API as a paid add-on.
Pros
- Unlimited topics, so one per program
- A credit is an answer, which makes the budget plain
- Both engines on Starter
Cons
- One region and one language on Starter
- Persona targeting only on the custom plan
- The API costs extra
AthenaHQ lets a school budget by the answer, with one credit buying one answer.
Three programs with 20 questions each, on both engines, every day for 30 days use 3,600 answers, exactly the Starter allowance, in one country, with CSV export on the plan.
The Eight on One Fixed Setup
| Tool | Plan and price for the fixed setup | How it keeps programs apart | Countries | Start with it if |
|---|---|---|---|---|
| GEO Agent by Qvery | Pricing not published | Topics | Countries you choose | Nobody has time to review answers weekly |
| Peec AI | Advanced: $495 a month | Topics and tags | Several on Advanced | A bootcamp in one country |
| Profound | Custom plan | Categories | Regions by contract | Several program lines under one name |
| Ahrefs Brand Radar | $250 package | Tags and entities | Locations per question | Students shorten program names |
| OtterlyAI | Standard, extra pack and AI Mode: $347 a month | Brand reports | A slot per country | Several recruiting countries |
| Semrush | Above the $99 toolkit | Tags | A location per target | Your team already lives in Semrush |
| Scrunch | Custom plan | Personas and tags | Unlimited on the custom plan | Different kinds of student ask about the same program |
| AthenaHQ | Custom plan or credits | Topics | Several on the custom plan | A bootcamp in one country |
What Qvery Does Beside These Tools
At Qvery, we help schools and training companies spend less of their admissions team's week sorting what applicants ask and checking what assistants say, with custom AI agents that read each week's inquiries, match them to the right program and hand the program lead the questions to approve.
Qvery's agents prepare changes to the tracked questions while we work with you on the program pages and listings behind the answers; at first, nothing goes live until a person approves it.
For daily tracking, the GEO Agent keeps each program’s answers together by topic.
Connect Your Admissions Review to the Program List
We begin with your admissions team's current review of inquiries and agree which inbox records and program details the agents may read and change. Two weeks after access is in place, the first agents are sorting questions from your own admissions inquiries by program.
Frequently asked questions
Can a tool track one course separately from the school?
Yes, in different ways: Peec AI's topics, Profound's categories and owned assets, OtterlyAI's brand reports, AthenaHQ's topics, and tags in Semrush, Scrunch and Ahrefs. For the program's own name, Ahrefs sets it as an entity with name variations, Peec takes aliases through its API, and OtterlyAI lists brand variation tracking.
How do we tell whether a program is recommended or only named?
Read the full answer: a mention can be a recommendation, a passing reference, or a warning. Peec AI, Scrunch, Semrush and Ahrefs keep the answer text, according to their documentation.
Can we see what students in the countries we recruit from are told?
Choose a tool that asks from your recruiting countries. Check the allowance for additional countries before buying.
Who should own this in a school our size?
The admissions or enrollment lead owns the question list, and each program lead owns their program's answers and the pages behind them. Everyone reads the same record in the tool, and each change goes to whoever runs the page or listing in question.
Will better AI visibility bring more applications?
A visibility score does not establish how many applications it caused. UCAS found students weigh open days and reviews more heavily than negative AI descriptions. Track inquiries per program beside visibility per program and compare them over months.
Is a spreadsheet enough to start?
For one program in one country, you can ask the questions by hand and log the answers and sources in a spreadsheet. Each program and country you add multiplies that work.
Does every plan include Google AI Mode?
No: Scrunch reserves it for its custom plan, and OtterlyAI charges for an add-on in the pricing recorded here. Profound's trial does not include it either, so check the plan as well as the vendor's overall engine list.
How should we budget for daily tracking?
List your programs, questions per program, engines, countries, and run frequency before comparing prices. Ahrefs counts each question on each assistant in each location as a check; AthenaHQ counts answers as credits, while OtterlyAI assigns a question slot per country.
How many questions does each program need?
Enough for each distinct thing applicants ask about it, such as course content, entry requirements and start dates. The 20 questions per program in the comparison are a pricing example, not a minimum.
What if two tools report different visibility?
Check that they track the same questions, places and names first. Semrush counts mentions of the name in its settings, while Ahrefs can recognize several name variations, so a short program name alone can make two reports disagree.
Is a free option enough for ongoing tracking?
Not for long. AthenaHQ's free tier is a fixed credit, and Profound's trial ends after seven days without history or exports, so neither gives a running record of what students are told.
Does a daily refresh mean answers change every day?
Not necessarily. Daily tracking says when the tool asks again, not how often students would get a different answer. Ahrefs also refreshes weekly or monthly, so check the dates behind a report before comparing it with a daily one.
Do unlimited questions mean unlimited tracking?
No. AthenaHQ lets you save more questions than its credits can ask every day, because the list and the answer budget are separate. Adding a program grows the list, not the credits.
Will access for program leads cost extra?
It depends on the tool. Peec AI includes unlimited users, so more program leads cost nothing extra, while Semrush lists additional users from $45 a month.
Does a cited source prove an answer is correct?
No. OpenAI says ChatGPT's search results and citations can be incomplete, out of date or wrong, so an answer about accreditation or a start date can cite a page and still get the fact wrong.
