Growth for education, starting from what buyers ask.
Below is the working prompt set for this vertical — 8 questions your buyers put to an assistant before they ever reach your site. Everything we build is scored against it.
Get your prompt setThe prompt set
8 questions we measure against
- 01Top online MBA programmes for working professionals
- 02Which coding bootcamp has real job placement data
- 03Best international school in Dubai for the IB curriculum
- 04Is this qualification recognised by employers in my country
- 05Part-time master's degree I can do while working full time
- 06Compare tuition and total cost between these two universities
- 07What are the entry requirements and application deadlines
- 08Scholarships available for international postgraduate students
Your live set is built around your categories, locations and competitors. This is the starting template for the vertical.
What makes this vertical different to work in
Decisions are made months ahead, so attribution windows are long and usually mis-set
Course pages compete with aggregators that outrank the institution itself
Outcome data exists internally but never reaches the pages buyers read
What we usually run here
Example implementation framework. What follows describes how we would approach a education engagement. It is method, not a record of a completed client project, and contains no performance figures.
Business challenges
Aggregators outrank the institution
Course comparison sites answer the question; institution pages describe the brochure.
Decision cycles run months
Default attribution windows are far too short and make the best channels look like the worst.
Outcome data exists but never reaches the page
Placement rates and salary outcomes sit in internal reports rather than in the content applicants read.
AI marketing, SEO, GEO and AEO strategy
Publish the outcome data
Sourced, dated placement and progression figures — the single most citable asset an institution holds.
Comparison content
Honest programme comparison, including who each course is wrong for.
Entry requirement clarity
Requirements, deadlines and costs answered directly rather than spread across a prospectus.
Long-window attribution
Measurement designed around a six to twelve month consideration cycle.
30, 60 and 90 day action plan
- Days 1–30
Baseline and foundation
- Prompt set across programme and outcome queries
- Baseline recorded
- Attribution window reset
- Technical audit
- Days 31–60
Structure and publish
- Course schema and structured requirements
- Outcome data pages with sources
- Comparison content set
- Application funnel audit
- Days 61–90
Convert and corroborate
- Application conversion work
- Alumni and industry citation building
- Multi-touch reporting
- First re-measure
Expected workflow
- 01DiscoverBuild the prompt set from real buyer language, record the visibility baseline across four assistants, and audit the technical foundation.
- 02DiagnoseRank findings by commercial impact rather than severity label, and agree what qualified means with the people who take the calls.
- 03BuildRemediate the foundation, deploy the schema graph, and restructure templates so a complete answer sits at the top of each page.
- 04PublishShip answer-first content against the highest-value prompts, with every statistic carrying a named source and date.
- 05CorroborateBuild the mentions, listings, reviews and coverage that let an assistant verify claims somewhere other than your own site.
- 06MeasureRe-measure against the recorded baseline monthly and report pipeline first, with attribution limits stated in the report.
Deliverables
- Category prompt set and recorded visibility baseline
- Technical audit with a prioritised, costed fix list
- Schema graph across every page template
- Answer-first content programme
- Citation and corroboration programme
- Conversion instrumentation and attribution model
- Monthly report opening with pipeline created
AI tools and automation
AI visibility
- ChatGPT
- Google Gemini
- Perplexity
- Microsoft Copilot
- Claude
Search & measurement
- Google Search Console
- Bing Webmaster Tools
- GA4
- Looker Studio
Technical
- Screaming Frog
- PageSpeed Insights
- Schema validators
- Lighthouse CI
Automation & CRM
- HubSpot or equivalent CRM
- Workflow automation
- Lead routing and alerting
- Conversational agents
KPIs education businesses typically monitor
Citation rate on programme comparison prompts
The question applicants actually ask an assistant.
Applications by source with a long window
Short windows systematically misattribute education marketing.
Prospectus download to application rate
The clearest mid-funnel signal available.
Enquiry to enrolment rate
Connects marketing to the number the institution is measured on.
International vs domestic split
Two different markets with different search behaviour.
Frequently asked questions
Only if the window is set correctly. Default attribution windows are far too short for education and will make your best channels look like your worst.
Find out what AI says about you right now.
We run your real buyer prompts through four assistants and send you the transcript, with your position and your competitors’. No charge, no call required to receive it.
Typical turnaround: 3 working days.