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October 23, 2026

Bot Traffic Is Exploding and Apartment Marketing Needs to Adapt

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Your next prospective resident may ask an AI assistant to find a two-bedroom apartment under $2,500, with parking, available December 1.

That assistant could research communities, compare rents, and build a shortlist before the renter visits a single property website. This is no longer hypothetical. It’s what Google demonstrates Gemini can do in its recent apartment hunt commercial.

If your community doesn’t include all of that information on your website, including real-time availability right on your site (not via iFrame or a click off to a page hosted by PMS), your property may make the list via an ILS listing, but your website won’t.

Reports released this year show how quickly automated traffic is growing. For apartment owners and marketers, that creates two different challenges: protecting websites from harmful bots and making accurate property information accessible to the tools working for prospective residents.

Bots already account for more than half of measured web traffic

Automated traffic was already more than half of traffic last year, and estimates put it at 57-61% now. Malicious bots represented 40%+ of all measured traffic. These figures describe activity across the web generally, not specifically apartment websites, but the narrative still applies to us. Fortunately, Google Analytics automatically excludes known bots, so this traffic isn’t blowing up our analytics.

Overall automation grew roughly eight times as fast as human traffic. Within that automation, agents were an especially fast-growing category.

Malicious bots and renter agents require different responses

Malicious bots can submit spam and generate fraudulent advertising activity. AI-driven bot attacks increased from 2 million to 25 million between 2024 and 2025. If you have seen an increase in spam, this is why.

An agent helping someone find an apartment has a different purpose. It might check which units match a move-in date, compare pet policies, or even submit a tour request. That activity represents a prospective resident you want to reach, but it is a little mind-blowing to think about a bot scheduling a tour request on behalf of the renter and how this might negatively impact no-show rates that are already high.

My forecast for the next year

By the end of 2027, I expect humans to account for only 1 in 3 web requests. That is my own personal estimate based on the fact that Cloudflare currently reports only 42% of current traffic is from a human and that, based on the results of my own personal use, I expect widespread adoption of personal agents like Muse and Dots.

A smaller human share of web traffic does not mean fewer people will need apartments, but it will mean that your new “customer” is a bot and your website needs to be able to quickly and thoroughly feed it all of the information it needs.

ILSs will compete for influence inside AI search

Internet listing services, or ILSs, face a change in how renters discover and compare apartments. As AI assistants are used to handle more apartment shopping tasks, human traffic to ILSs will decline.

That said, in the short run, ILSs will probably benefit because they have extensive, current inventory and will likely be an important information supplier to those assistants. As property managers and markets improve their on-site data layers, they will probably be less dependent on having that data from multiple sources.

The ILSs are adapting to this new environment. Apartments.com and Zillow already have a ChatGPT integration that lets renters explore listings, review unit pricing and availability, and submit leads without leaving ChatGPT. My expectation is that ILSs will position themselves as selling access to renters not just on their main sites, but across multiple interfaces, including AI experiences. It will be interesting to see if they can retain substantial influence even when fewer renters visit their websites directly.

How apartment communities should prepare

Make your website the source of truth for your community. Your website should publish all of the information renters need, including rents, fees, amenities, policies, specials, and leasing details.

Put real-time availability on the site. A floor-plan page that only says “Call for availability” cannot answer a renter asking which two-bedroom apartment is available December 1. Publish unit-level availability via an integration with your PMS. Include details including the number of bedrooms and bathrooms, square footage, availability and rents by unit, and all applicable fees and lease terms.

Make that availability readable. AIs can more easily read current unit information if it is in crawlable HTML on your community’s own domain. If inventory appears only inside an embedded leasing tool, search engines and AI tools can technically retrieve as an agent browsing your site, but fast moving bots may move on.

Google’s guidance for its AI search features emphasizes accessible text, crawlability, and structured data that matches visible information. Structured data can support clear pages, but it cannot replace missing inventory.

Keep the information fresh. Use an integration so that when units lease, rents change, or specials expire, your site is refreshed.

Manage access and measure results. Have your website and leasing, resident portal, and security providers review crawler access, abusive traffic, and protection for applications and resident accounts. Track qualified inquiries, tours, applications, and leases alongside traffic, and periodically test whether AI tools describe your community accurately.

Apartment marketing increasingly depends on whether another system can understand your community well enough to include it in a renter’s search.

Your website needs to be a reliable source of truth, with real-time availability that people and permitted automated tools can access. That is work worth doing now or budgeting for 2027 and doing it next quarter.

If you want to know whether AI tools can find your community and read its current availability, contact us for a website and AI visibility review.

Ellen Thompson

Ellen Thompson

Co-Founder

From the desk of Ellen Thompson, Co-founder of Respage — Since its founding, Respage has helped over 10,000 communities attract, engage, and retain residents. Its platform assists properties in generating leads, automating leasing, and managing reputation and social media. Thompson is also the Founder of Results Repeat, a digital marketing agency that has helped hundreds of companies create a digital presence and use SEO and paid marketing to generate more business online.

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