Built an education search strategy around learner questions, program intent and AI recommendations to expand visibility across high-value US searches.
Expanded AI search visibility across program, course, career and education-related queries through intent-led content and entity optimization.
The education platform had a broad course catalog, but its search presence did not consistently answer the questions learners asked before choosing a program.
Prospective learners searched by subject, career goal, program length, cost, certification and learning format rather than only by course name. A query for data analytics, cybersecurity or project management could represent completely different stages of the enrollment journey.
We reorganized the content architecture around programs, subjects, skills, careers and learner intent, connecting educational answers to commercial program pages and creating stronger source material for AI-generated recommendations.
The company had strong offerings, but organic and AI search presence fell short because the architecture was not built to scale.
Learners searched for outcomes like becoming a data analyst or switching into cybersecurity, not simply for course titles.
Questions around cost, duration, prerequisites, format and certification needed clear destinations beyond standard program descriptions.
AI queries increasingly asked which course, certification or learning path was best for a specific career goal, background or skill level.
The opportunity was not more course pages. It was better answers connecting learner questions to the right educational pathway.
We combined technical SEO with scalable search expansion: build the technical foundation first, map intent, and scale the assets that drive business value.
Connected subjects, programs, courses, certifications and related career paths into a clearer education search hierarchy.
Mapped career, subject, skill, certification, cost and program-format intent to distinct search destinations.
Built content around eligibility, duration, cost, curriculum, outcomes, careers and program comparisons.
Structured educational information so AI systems could better compare, explain and recommend relevant learning options.
Rather than generic tactics, we executed disciplined workstreams engineered for compounding organic and AI search visibility.
The new program, topic and learner-intent architecture expanded the site's visibility across AI-generated education answers.
Expanded visibility across searches connecting career goals with courses, certifications and learning paths.
Strengthened visibility around program format, cost, duration, eligibility and subject-specific searches.
Improved coverage across recommendation, comparison and “best program” questions in conversational search.
The biggest change was making our education expertise useful at the exact stage when learners were comparing programs and deciding what to study.
The combination of stronger product architecture, cleaner indexation, and improved shopping signals created a scalable foundation for product discovery.