New York, United States – 29th April 2026 – As housing affordability pressures intensify across the United States, more homeowners are renting spare bedrooms for supplemental income, a practice commonly referred to as “house hacking.” Locanto, a global online classifieds platform, is expanding a suite of artificial intelligence features designed to improve listing quality, reduce fraudulent content, and make the room rental process easier for both homeowners and renters.
MARKET CONTEXT
The Harvard Joint Center for Housing Studies reports that more than 22 million renter households in the United States spend more than 30% of their income on housing — a threshold the center defines as cost-burdened. A separate analysis of the 50 largest U.S. metro areas, cited by Locanto, found that renting a room can be up to 37% more affordable than taking on a new mortgage, with many homeowners generating between $800 and $1,200 per month from spare-bedroom rentals. USA Today was unable to independently verify the 37% figure or the income range; readers should treat those figures as company-cited data pending independent confirmation.
Housing economists broadly agree that supply constraints continue to push rents higher in many cities and suburbs, and that existing but underutilized residential space — sometimes called “hidden inventory” — represents a potential near-term source of additional rental supply that does not require new construction.
Search data also reflects growing consumer interest: Americans are increasingly using terms such as “rooms to rent near me” when looking for affordable housing online, a trend that platforms focused on shared housing say is accelerating user growth.
THE PLATFORM’S AI FEATURES
The new experience incorporates AI-based ad review and categorization processes that organize listings according to structure and relevance. Listings are evaluated through automated systems that assess format, classification, and visibility before publication. Image-based moderation and content filtering mechanisms operate in parallel to review submitted material and identify content that does not align with platform requirements.
Additional functionality includes duplicate suppression based on semantic analysis, which evaluates similarities across listings and limits repeated entries. Ad quality scoring is applied to listings to determine placement and visibility based on structural and informational completeness. These systems are designed to influence how listings appear in search results where consistency and organization affect discoverability.
Currently in a development phase are automated content enhancement tools form part of the updated experience, allowing listing creation through structured formatting processes. These tools will convert basic inputs into standardized listing formats, supporting clarity in descriptions and presentation. The system will also incorporate image relevance checks and image-to-text generation features that align visual elements with written content.
Locanto continues to develop additional capabilities, including automated translation features intended to support interactions between users with different language preferences. Ongoing development focuses on improving alignment between listing data and user search behavior within the shared housing category.
“Peer-to-peer housing only works at scale if users trust what they’re seeing,” a Locanto’s Automation Manager Ramón Gutierrez del Arroyo said. “By using AI to improve moderation and ad quality, we are helping make house-sharing a more viable option for millions.”
The announcement reflects a broader shift in how digital platforms structure user-generated housing listings, with emphasis on organization, moderation, and search alignment in room rental categories.
About Locanto
Locanto is a global online classifieds platform founded in 2006. Operations extend across more than 50 countries, with over 1.5 million ads published each month across housing, jobs, and services categories. The platform includes a dedicated rooms for rent category that enables listing and discovery of shared housing opportunities within local markets.
MEDIA DETAIL
Contact Person Name: Emma Ryder
Company Name: Locanto
Email: emma.ryder@locantoconnect.com
Website: https://www.locanto.com/