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For years, finding student accommodation has meant wrestling with ten open tabs at once: a couple of portals, a letting agent or two, maybe a Facebook group and a university housing page.
In 2025, that messy digital hunt is being replaced by something much more streamlined. Tools like Google’s AI Overviews and ChatGPT-style assistants are turning search from a long list of links into a single, confident response that feels more like talking to a knowledgeable friend than using a search engine.
Instead of being shown a collection of websites to sift through, students are increasingly given one clear direction: here is what you should do, and here are a handful of options that seem to fit you best.
For anyone looking ahead to the 2025/26 academic year, that change is more than just a tech upgrade. It is a shift in who controls attention online and which accommodation brands get in front of students first.
Students are already changing how they search. Rather than typing “student accommodation in Leeds” and sorting through results, a fresher might ask something far more specific, such as: “Find me a room in Leeds under £160 a week, walking distance to campus, with good Wi-Fi and bills included.”
AI tools are built to handle exactly that kind of question. They scan information from multiple websites, online reviews, forums and university pages, then compress it into a personalised answer.
Crucially, the response often includes named providers and named buildings, not just vague directions to visit a portal.
The journey becomes much more conversational. A student asks a question, receives a short explanation and a curated shortlist, and then clicks straight through to a brand’s website or a specific property.
Portals still play a role, but they are no longer guaranteed to be the first stop. Discovery shifts from “browse the whole market” to “get a recommendation that sounds right for you.”
Traditionally, portals have acted as the main gatekeepers. Many students remembered the portal they used, but not the brand that actually owned the building.
Artificial Intelligence is quietly changing that balance of power. When an AI assistant looks for an answer, it favours sources that are clear, trustworthy and closely aligned with the question being asked.
That tends to reward accommodation brands that know exactly who they are for and say it plainly. Providers that explain their locations, pricing, facilities and target audiences in straightforward, student-friendly language are much easier for AI to understand and recommend.
Brands that publish practical guides, such as explanations of different areas in a city or budgeting advice for first-years, also give AI more to work with when it constructs responses.
The result is that AI is more likely to say, “You could look at this specific brand, which offers all-inclusive rooms near the university from around this price range,” than simply instructing a student to browse a generic portal. Attention moves away from long comparison lists and towards a smaller set of recognisable names that have done the best job of presenting themselves online.
For students, the rise of AI search has obvious benefits but also a few new things to watch out for.
On the positive side, AI can dramatically reduce research time. Instead of trawling through dozens of pages, a student can ask detailed follow-up questions about safety, nightlife, transport, hidden costs or the differences between halls, studios and shared houses, and receive quick explanations that help them narrow down options.
This is especially useful for international students and those moving to a new city for the first time. They can get a feel for different neighbourhoods, typical prices and living styles before they have even set foot in the area.
AI can also help demystify jargon, turning intimidating terms like “guarantor” or “all bills included” into plain English.
However, students should remember that AI is not perfect. It may miss brand-new developments that have not been properly indexed online. It might oversimplify subtle differences between landlords or between streets in the same area. It can also repeat outdated information if the sources it draws from have not been updated.
The smartest approach for 2025/26 is to treat AI as a powerful starting point rather than the final judge. Once a shortlist has been created, it is still important to visit brand websites, check recent reviews and, where possible, arrange viewings or virtual tours before signing anything.
For purpose-built student accommodation operators, letting agents and student-focused landlords, AI search is a clear signal that digital basics are no longer optional. Being hidden on page three of a traditional Google search was already a problem; being omitted entirely from an AI-generated answer is significantly worse.
Brand clarity is becoming essential. If a company cannot quickly communicate who it helps, where it operates and what makes it different, AI tools will struggle to recommend it with confidence.
Student-first content plays a major role here. Guides on the best areas for first-years versus second- and third-years, realistic cost-of-living breakdowns, and honest comparisons between different types of housing not only help human readers but also feed the exact questions students are asking AI.
Reputation matters too. AI systems can scan online reviews and general sentiment. If a brand consistently receives complaints about maintenance, communication or hidden fees, that pattern can influence how it is described or whether it is mentioned at all.
Conversely, detailed and genuine positive reviews help strengthen the case for a brand to be included in AI answers as a reliable choice.
Looking ahead to the 2025/26 cycle, it is easy to imagine a typical journey unfolding with fewer clicks but more brand recognition.
A student begins with an AI conversation, receives a small set of named providers tailored to their budget and lifestyle, and then visits those specific websites to book viewings or start applications. Portals still exist, but operate more in the background as a way to cross-check prices and availability, rather than as the starting point for every search.
For strong accommodation brands, this is an opportunity. Providers that already offer good service, transparent pricing and helpful information can effectively turn AI into a digital advocate that introduces them to students who have never encountered their name before.
For weaker brands that relied on being just another entry in a long list, the coming years may be more challenging.
AI will not replace every part of the housing journey. Students will still rely on friends’ recommendations, WhatsApp groups, social media and their own gut instinct when they visit a property.
But the first mention of a brand, that initial moment when a name becomes familiar, is increasingly happening in an AI chat box rather than on a portal homepage.
For students, that means more personalised guidance and less time wasted switching between endless browser tabs, as long as they keep cross-checking information and do not treat any single answer as absolute truth. For accommodation providers, it is a call to action: tidy up your online presence, speak clearly to student concerns and think of AI not as a threat, but as a new kind of word-of-mouth.
In 2025/26, the brands that consistently appear as the “one best answer” are likely to be the ones that fill their rooms first.