For two decades, a prospective student's journey began at the same place: a Google search. That starting point has moved. A candidate weighing where to study now opens ChatGPT, Gemini or Perplexity and asks in natural language — "where should I study computer science?" — and receives a single, composed answer with a short list of institutions. The consideration set is shaped before they visit anyone's website.
This is not a fringe forecast. Gartner projects that by the end of 2026 a quarter of search volume will vanish as generative AI engines become substitute "answer engines." For a consumer brand that threatens traffic; for an academic institution it runs deeper — the student's decision, which already falls in short windows, moves to an arena where the institution is usually invisible.
"Generative AI solutions are becoming substitute answer engines, replacing queries that previously would have run on traditional search engines."— Gartner, press release, February 2024
The strategic implication is simple and uncomfortable: you can no longer rely on an institutional website and a media campaign alone. Whoever isn't cited in the AI answer simply doesn't exist at the stage where the consideration set is built. The first step isn't technical but conceptual — treat AI-engine answers as territory to be managed, measured and won. That is exactly the decision layer PULSE was built to operate.
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