How is this different from an education marketing agency?

An education marketing agency briefs, drafts and reports on a retainer. PingAura runs the same workflow through an AI Coworker that audits your program, course and faculty pages, drafts grounded content, applies schema and reports on attribution, with your team reviewing the output instead of briefing it. One provider replaces the dashboard, the agency and the content team.

Which AI platforms do you track for program-recommendation queries?

ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, Google AI Mode, DeepSeek and Grok. Visibility, position and sentiment are logged per prompt with the full response text, so you can read exactly what was said about your programs.

Does this work for a multi-campus institution?

Yes. Visibility is tracked per campus or program rather than as a single institution-wide figure, so a multi-campus institution can see which sites are cited and where a specific campus is missing from AI recommendations.

How do you stop AI citing outdated tuition or application deadlines?

The coworker monitors how AI surfaces describe your tuition, deadlines and entry requirements, and flags a regression, such as a figure that changed last admissions cycle still being cited, so a correction can ship before an applicant acts on it.

Can it handle EdTech and online program providers as well as traditional institutions?

Yes. Online and hybrid program providers run on the same workflow, with schema and content built around how prospective students compare an online program to an on-campus one, rather than assuming every applicant is choosing a physical campus.

Education

AEO for higher education marketing teams, handled by an AI Coworker that builds program and course schema, tracks how AI recommends programs, and ties visibility to applications.

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Education handled by the PingAura AI Coworker

The Strategy

Who is this for?

PingAura replaces the education marketing agency retainer for universities, colleges and EdTech providers whose prospective students now ask AI assistants for program recommendations before they visit an admissions page. The AI Coworker runs higher education SEO end to end, from program and course schema through grounded content to attribution, with your team reviewing rather than briefing.

Built for the future of Search Engine Optimization.

Stop guessing how AI models perceive your brand. Get direct insights into the citations and mentions driving your traffic.

Higher education SEO handled end to end by an AI Coworker, not a retainer and a monthly ranking report

Visibility, position and sentiment in program-recommendation queries across ChatGPT, Perplexity, Gemini, Claude, AI Overviews, Google AI Mode, DeepSeek and Grok

Education marketing agency work on the same workflow, including schema for program, course and faculty pages

Grounded program and admissions content with review steps, so tuition and requirement claims are checked before publication

Attribution from AI visibility signals through to enquiries and applications, via GA4 and Search Console

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Elleven Media Case Study

“PingAura completely changed how we think about SEO. We're now optimizing for how AI reads us, and our share of voice in ChatGPT search results has tripled in 2 months.”

AI citation growth

12+

AI engines tracked

Read the full story

The challenge

Do prospective students find your competitors when they ask AI for a program recommendation?

Prospective students increasingly ask ChatGPT or Gemini what to study and where before they open an admissions page. When those assistants name a shortlist of programs or institutions, you have no way of knowing whether you are one of them.

Is AI describing your programs, tuition or admissions requirements accurately?

An AI assistant working from an outdated program page can misstate tuition, an application deadline or an entry requirement, and nothing tells you it happened until an applicant shows up with expectations your admissions office has to correct.

Is your education marketing agency reporting on rankings while students ask AI instead?

Traditional education marketing reports on Google positions for program pages. Those reports say nothing about whether the assistants students actually consult recommend your programs, so the spend keeps going while the channel shifts underneath it.

How it works

Connect your institution

Add your brand, programs, campuses and up to five competing institutions. The AI Coworker builds the prompt set from how prospective students actually ask about programs, not from keyword exports.

Track how AI answers program questions about you

Visibility, position and sentiment across ChatGPT, Perplexity, Gemini, Claude, AI Overviews, Google AI Mode, DeepSeek and Grok, logged per prompt with the full response text so your team can check what was said.

Fix the pages the answers are drawn from

The coworker audits program, course and faculty pages, then ships the schema and structured-data updates that make them citable, with every change queued for your review before it goes live.

Connect visibility to applications

AI-sourced sessions tie through GA4 and Search Console to enquiry-form completions and applications, so the program reports on enrollment pipeline rather than citation counts.

What your buyers ask AI assistants

Education prompts the AI Coworker tracks across ChatGPT, Perplexity, Gemini, Claude, AI Overviews, Google AI Mode, DeepSeek and Grok.

What's the best online MBA program for someone working full-time?
Which universities offer scholarships for international computer science students?
What's the acceptance rate and average test score for this program?
Is this degree accredited, and will employers recognise it?
How much does tuition actually cost after financial aid for this program?
What's the difference between this school's data science and computer science degrees?
When is the application deadline for spring intake?

Powerful visibility tools

Everything you need to master the shift from traditional search engines to AI-driven discovery.

Program and course schema

Course, EducationalOccupationalProgram and Organization structured data applied across program, course and faculty pages, which is what AI surfaces read when they recommend an institution.

Multi-campus coverage

Visibility tracked per campus or program, so an institution with several sites can see which ones are cited and where a specific campus is missing from AI recommendations.

Admissions accuracy monitoring

Flags when an AI surface is still citing an outdated tuition figure, application deadline or entry requirement, so a correction can ship before an applicant acts on stale information.

Faculty and department content

Faculty bios, research areas and department pages surfaced accurately, so an AI assistant recommending a program by name is describing the right department and the right people.

Grounded program content

Content drafted for program-recommendation queries with source citations and review steps built into the workflow, so claims about outcomes and requirements are checked before publication.

Attribution to applications

AI-sourced traffic connected through GA4 and Search Console to enquiry-form completions and applications.

Common questions

How is this different from an education marketing agency?: An education marketing agency briefs, drafts and reports on a retainer. PingAura runs the same workflow through an AI Coworker that audits your program, course and faculty pages, drafts grounded content, applies schema and reports on attribution, with your team reviewing the output instead of briefing it. One provider replaces the dashboard, the agency and the content team.
Which AI platforms do you track for program-recommendation queries?: ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, Google AI Mode, DeepSeek and Grok. Visibility, position and sentiment are logged per prompt with the full response text, so you can read exactly what was said about your programs.
Does this work for a multi-campus institution?: Yes. Visibility is tracked per campus or program rather than as a single institution-wide figure, so a multi-campus institution can see which sites are cited and where a specific campus is missing from AI recommendations.
How do you stop AI citing outdated tuition or application deadlines?: The coworker monitors how AI surfaces describe your tuition, deadlines and entry requirements, and flags a regression, such as a figure that changed last admissions cycle still being cited, so a correction can ship before an applicant acts on it.
Can it handle EdTech and online program providers as well as traditional institutions?: Yes. Online and hybrid program providers run on the same workflow, with schema and content built around how prospective students compare an online program to an on-campus one, rather than assuming every applicant is choosing a physical campus.