When buyers ask ChatGPT, Claude, and Gemini about real estate crm, kvCORE ranks #2 of 15, a Visibility Score of 65 in Real Estate CRM .
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.
Strong CRM runner-up, but one race is the whole game.
Where it wins. In Real Estate CRM, kvCORE lands in 79% of AI conversations and holds the number-two rank across 15 competitors, which is a real position in a crowded field.
Where it loses. First-pick selection sits at just 1.4%, meaning AI models consistently hand the top recommendation to a rival, and the complete absence from Enterprise-pick themes signals a hard ceiling on deal size.
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 kvCORE. Hover a row for the exact prompt. Compare shapes on the head-to-head page.
Gaps Enterprise pick
Share of kvCORE's mentions where the AI models name this brand in the same answer. That is the real competitive set in the AI channel.
Head-to-head: kvCORE vs Follow Up Boss
Scores are measured from real AI answers, refreshed monthly. Methodology.
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