For agents, speed to lead is everything. The sourced cases show AI following up new leads within minutes, drafting listings and keeping the CRM tidy, with the agent still handling negotiation and advice.
Based on 6 sourced cases (5 with numbers). No sponsored placements.
| Tool | Cases | Used by | Example of a reported result |
|---|---|---|---|
| Ylopo | 2 | Livia Monteforte (agent), Jeff Cook Real Estate | The source reports over $6 million in transactions closed from the 30-day effort. |
| ChatGPT | 1 | Randy Baruh (broker) | Qualitative: the source describes hours saved on writing; the broker does not credit sales results to AI. |
| Chatbase | 1 | KOMTRIGON | The source reports AI support across platforms serving more than 500,000 landlords and property owners. |
| Claude | 1 | Ryan (Tampa realtor) | The source reports lead follow-up time down from 3+ hours to under 25 minutes and listing appointments up 38% in 60 days. |
| Tidio | 1 | Endeksa | The source reports a 138% increase in leads and 59% shorter waiting times. |
A Turkish real estate valuation platform added chatbots with short pre-chat surveys that route questions and capture leads, and asks for feedback automatically.
Endeksa · Turkey
A Cape Cod agent who thought her lead source didn't work ran a 30-day challenge: use behavioural tags (checking home values, replying to AI nurture) to build daily call lists from her …
Livia Monteforte (agent) · US
A three-person Tampa team had an AI assistant set up with the owner's tone, lead stages, follow-up rules and listing process, so the team could draft follow-ups, summarise CRM notes …
Ryan (Tampa realtor) · US
A German digital-services firm runs websites for Haus & Grund landlord associations. After testing rule-based bots, it chose an AI chatbot platform to give every association its own …
KOMTRIGON · Germany
A Charleston brokerage found agents were jumping into AI conversations too early. They moved AI-engaged leads into a 'hidden pond' where the AI keeps nurturing until the lead shows …
Jeff Cook Real Estate · US
A New York City broker uses ChatGPT to draft listing descriptions in seconds. He learned that the drafts need a real review to remove repetition and make them flow, not just a quick glance.
Randy Baruh (broker) · US
In our sourced cases: AI lead-follow-up platforms like Ylopo, general assistants like ChatGPT and Claude for listings and admin, and AI set up on the agent's own processes.
Prices change often and depend on volume (per seat, per call or per conversation), so we don't list them. Check the vendor's pricing page, start with one workflow on a trial or the lowest plan, and compare the cost with the hours or bookings the sources report.
Yes, as a first draft. Check every fact (size, rooms, condition) and local rules on what you may claim; the agent is responsible for the listing.
We have not tested or ranked them ourselves. The list shows tools named in sourced small-business cases, ordered by how many cases mention them. We take no commissions.
Results are as reported by the source and have not been independently verified. Steps are our own suggestions. We are not affiliated with the vendors named and earn nothing from these links.
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