Most Landlords Are Missing Out
AI Search Is Changing How Renters Find Apartments
Not long ago, the apartment search looked like this: open Google, type “apartments near me,” scroll through a handful of listings, and schedule a tour. That funnel is changing faster than most landlords realize. ChatGPT now holds roughly 80 percent of the AI search market and processes more than two billion queries daily and a growing share of those queries are people trying to figure out where to live.
ChatGPT has already reached about 12 percent of Google’s total search volume, achieved in less than three years, a pace that has no real precedent in the history of how people find information online. For the multifamily industry, which has spent years optimizing for Google and paying for placement on listing platforms, the rise of AI as a primary search tool is not a future problem. It is a present one.
The way AI search works is fundamentally different from what came before it. Google’s model is built around ranking pages and sending users somewhere else to get their answer. AI tools like ChatGPT synthesize information and deliver a response directly, often without a click ever happening. Around 93 percent of AI search sessions end without a click, which means that for a large and growing share of queries, the AI’s answer is the entire experience.
A prospective renter asking ChatGPT about the best apartment communities in a given neighborhood is not going to scroll through ten blue links. They are going to read what the model surfaces and act on it. The question for property marketers is not just whether they show up, but whether the AI says something good about them when they do.
New research from SatisFacts suggests the shift is already measurable at the lease level. According to a study conducted, roughly 12 percent of renters are now using AI tools to find their next home. Ben Pleat, CEO of resident engagement platform Cobu, believes the real number could be much higher.
“A lot of the citations are not great, traffic from ChatGPT is probably higher than you think,” he said. “This is a click-free world, so it is hard to get a good number.” Because so many AI interactions never produce a referral click, traditional attribution methods miss them entirely. Communities that are waiting for the analytics to confirm the shift before acting may already be behind.
What makes AI search particularly consequential for multifamily is how it decides what to recommend. Unlike Google, which can be influenced through paid placement, SEO optimization, and review management, AI tools tend to draw heavily on user-generated content to form their understanding of a property’s actual experience. Domains with high activity on platforms like Reddit and Quora are roughly four times more likely to be cited by ChatGPT than those with minimal community presence, which means authentic resident voices carry a disproportionate weight.
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Pleat sees this as a meaningful shift in what it takes to compete. “People are becoming more savvy, good reviews are just table stakes, you need more than that now,” he said. “You have to have an experience that can actually stand out from the other places that people have lived.” The game has moved from managing your rating to actually earning one.
That changes what operators need to prioritize. Pleat, whose platform helps communities activate and connect with residents, argues that the logical starting point is the product itself. “The first thing is to give an experience that people want to talk about. From there, you need a megaphone to help amplify them,” he said.
Cobu is working with Entrada, a platform focused on helping landlords deploy resident engagement tools at scale, to bring that approach to a broader set of communities. The partnership reflects a growing recognition in the industry that marketing and operations are no longer separate functions. If the resident experience is what gets surfaced by AI, then improving that experience is a marketing investment.
The stakes are even higher than they were in the Google era because AI search is structurally more winner-take-all. “Google might rank all the thousands of properties, AI will just give the top three,” Pleat said. “The bar is higher.” A search engine that returns hundreds of results gives every property some chance of being found. A conversational AI that recommends a handful of communities and explains why concentrates visibility in a way that has no real precedent in digital apartment marketing.
The communities that build genuine reputations will absorb a disproportionate share of qualified leads. The ones that rely on paid visibility and review volume without the underlying experience to back it up will find those tools matter less than they used to.
For operators who have long felt frustrated by a marketing landscape that rewarded spend over quality, that is not entirely bad news. “This change is great, it is so much more honest for renters and the good operators will actually be able to win,” Pleat said. The paid-search arms race and review-gaming that defined the last decade of apartment marketing worked in favor of companies with large marketing budgets and sophisticated SEO teams, not necessarily the ones running the best buildings. AI search, with its reliance on authentic user-generated content and its resistance to easy manipulation, rebalances that equation.
The landlords who invest in the resident experience and find ways to get people talking about it are positioning themselves well for a search landscape that is going to keep moving in this direction.
Source: Propmodo
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