When buyers ask ChatGPT, Claude, and Gemini about property management, TurboTenant ranks #4 of 15, a Visibility Score of 40 in Property Management .
These rankings are measured from what the three models know from training, not a live web search. The live-web grounded surface is rolling out across the index. Methodology.
One category, one race, stuck at fourth.
Where it wins. TurboTenant lands in more than half of property management AI conversations, a 51% mention rate that keeps it on the shortlist alongside Buildium and AppFolio. Its clearest foothold is with startup and small-team prompts, where the price-point positioning resonates.
Where it loses. A 4% first-pick rate means buyers hear the name but rarely commit to it, and AI models exclude it entirely from use-case fit and enterprise queries, leaving two meaningful slices of property management demand uncovered.
AI-generated analysis of the September 2026 measurements.
Being named is not the same as being recommended. Each mention is graded endorsed (a strong pick), listed (a neutral option), or caveated (named with a reservation).
Share of each theme's answers that mention TurboTenant. Hover a row for the exact prompt. Compare shapes on the head-to-head page.
Gaps Use-case fit · Enterprise pick
Share of TurboTenant's mentions where the AI models name this brand in the same answer. That is the real competitive set in the AI channel.
Scores are measured from real AI answers, refreshed monthly. Methodology.
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