State of Austin Short-Term Rental Listings — Q1 2026

How Austin listings stack up

About this report

This report aggregates anonymized data from listings analyzed through Rental Analyzer Pro in Q1 2026 with coordinates inside the Austin metro bounding box. It is intended as a directional benchmark for Austin hosts, not a statistical sample of the whole market. The sample size is small by design — we only publish markets where we have tested enough listings to report non-trivial numbers.

How we score

Every listing gets a single 0-100 overall score, plus a per-category breakdown across photos, title, description, amenities, pricing, location copy, reviews, and guest experience. Scores are produced by Gemini 3.1 Pro against a consistent rubric. The score is the mean of the eight category scores after a small deflation correction to prevent inflation.

What surprised us

Property managers are pouring effort into massive 1901-character descriptions but severely neglecting visual basics, driving average photo scores down to a dismal 59.4. There is also a glaring contradiction in the safety data, where the overall category averages a robust 77.2 despite standard items like smoke alarms appearing in only 26 of the 58 listings. The numbers point to a market focused on writing dense text blocks while failing to check standard inventory boxes.

What high-scoring Austin listings do differently

The 9 listings breaking into the 80-plus tier share a tendency to claim mundane, practical features rather than luxury perks. The presence of a fire extinguisher correlates with a 5.1-point lift in the overall score, while ticking the box for a dedicated workspace links to a 4.8-point advantage. A simple ceiling fan is associated with a 4.6-point bump, indicating that top performers are simply more meticulous about auditing their digital amenity lists rather than buying expensive physical upgrades.

Most common recommendations Austin listings receive

The algorithm is aggressively targeting the top of the marketing funnel, flagging photos in 69 percent of listings and demanding title improvements for another 64 percent. Written descriptions are also drawing heavy fire, with 37 properties receiving high-priority warnings about their text. An operator stuck near the 68-point median should ignore their high-scoring kitchen entirely and spend their time expanding their weak 34-character title.

Methodology and limitations

The sample is opt-in: hosts submitted these listings for analysis themselves. That skews toward hosts actively looking to improve, not a random slice of Austin supply. Coordinates are taken from Airbnb / VRBO JSON-LD or Gemini-geocoded from listing text. The Austin bounding box is generous and catches nearby suburbs. Score values are model outputs and will shift slightly as the underlying model and rubric evolve.

Average score by category

Amenity score lift

Difference in mean overall score between listings that include the amenity vs. those that don't. Positive values mean the amenity is associated with higher scores. Correlation, not causation.

Most common recommendations

Average listing profile

Frequently asked questions