How Does AI Search Decide What to Show?
Career center staff often receive questions from students — and sometimes from skeptical colleagues — about why AI Search surfaces certain results and not others. This article gives you a clear, accurate explanation of how content is ranked and prioritized, and what it means for how you create and publish content.
The Short Answer: Relevance and Personalization
AI Search ranks results based on two primary factors: how relevant the content is to what the student asked, and — for logged-in users — how relevant it is to who that student is. It does not rank results based on popularity, page views, or click history.
How Semantic Relevance Works
AI Search uses semantic retrieval to understand the meaning of a student's question — not just the specific words they used. This means:
- A student asking "how do I get ready for a behavioral interview?" and a student asking "tips for answering tell me about yourself" may both surface the same interview preparation resource, because AI Search understands both questions are about the same topic.
- Content doesn't need to contain the exact words from the student's query to be surfaced. What matters is whether the content is meaningfully relevant to what the student is trying to accomplish.
- Keyword frequency doesn't give content an advantage. Stuffing titles or descriptions with repeated terms does not improve discoverability — writing clearly and completely does.
How Personalization Works for Logged-In Students
For students who are logged in, AI Search applies modest personalization boosts based on profile attributes. Here's how it works:
- The system retrieves a larger pool of semantically relevant content based on the query.
- It then applies small score adjustments based on the student's role (undergraduate, graduate, alumni), graduation year, and community affiliations.
- These adjustments are additive — a result that matches on multiple personalization factors accumulates all of those boosts, rising higher in the ranked list.
- The boosts are modest (in the range of 8–17% adjustments) — they refine the ranking rather than replacing it entirely.
The result is a list that reflects both what the content is about and how likely it is to be relevant to this specific student.
What Does NOT Influence Ranking
- Page views or traffic data — how many students have visited a page does not affect whether it ranks higher.
- Click-through rates — whether students have clicked a result in the past does not influence future rankings.
- Keyword density — writing the same word over and over does not improve a piece of content's discoverability.
- Content age alone — for evergreen content, older material can and should still surface if it remains the most relevant resource for a given query.
Recency and Events
AI Search uses date-aware filtering specifically for events. This means past events are deprioritized so they don't clutter results — students asking about upcoming career fairs won't be shown events from two semesters ago.
For other content types, recency is balanced against relevance. An evergreen resource written two years ago may still surface prominently if it remains the most relevant answer to a student's question.
What This Means for Your Content Strategy
The practical implications for how you write and publish content:
- Write complete, descriptive titles — a resource titled "Finance Internship Search Guide: What to Know Before You Apply" will surface more reliably than one titled "Finance Guide."
- Write rich descriptions and body content — the more clearly a piece of content explains what it covers and who it's for, the more reliably AI Search can match it to relevant student queries.
- Keep event descriptions detailed — an event listing with a full description of what students will learn and who should attend surfaces more effectively than one with only a title and date.
- Don't worry about keyword stuffing — write for students, not for the algorithm. Clear, natural language written for a human reader is exactly what AI Search is optimized to understand.