Investor · FL · Member since 2023 · 36 posts · 11 votes
We're all using it at this point. It became more mainstream maybe a year or so ago and since then there's been a ton of noise around it. Honestly a lot of the use cases people talk about are a waste of time and money.
The ones that have actually been useful for me though:
AI handling SMS outreach and follow up sequences without me touching it. AI picking up inbound seller calls when I'm not around. AI running initial calls on properties before a VA even gets involved, saves a lot of time and money on that alone.
Built these systems custom for myself and helped a couple other investors set up something similar.
Always looking to add more though. Curious if anyone else has found use cases that are actually worth it or if you're still figuring out where AI fits in your business
@Rauph Souleimanov Those are impressive response rates for cold outreach. My next question is, on average, how many of those responses ultimately result in closed transactions? A strong response rate is certainly valuable but the true measure of success is the ROI and the number of deals generated from the campaign.
@Rauph Souleimanov I currently use AI as a virtual assistant and it has made my workday much easier. I am sure there is a lot more it can do that I haven't explored yet. I would love to learn more about how you are using AI for SMS outreach and follow-up sequences. How personalized are the messages and what kind of response rates are you seeing?
@Rauph Souleimanov I currently use AI as a virtual assistant and it has made my workday much easier. I am sure there is a lot more it can do that I haven't explored yet. I would love to learn more about how you are using AI for SMS outreach and follow-up sequences. How personalized are the messages and what kind of response rates are you seeing?
On the system that I built, I'm seeing anywhere between 15% and 25% response rate for cold text.
It's very similar to personalization in any texting system you would use, where it would replace the name and the address with placeholders
And I also created a rotation for initial messages out of the 10 templates that I have, and I even created additional templates for follow-up and dependant of the follow-up stage.
The SMS and inbound call stuff is where AI actually earns it. The use case I haven't seen talked about much: using it to summarize seller intake notes into a consistent format before they hit the CRM. Cuts the garbage-in problem down a lot when you're running volume.
@Rauph Souleimanov Those are impressive response rates for cold outreach. My next question is, on average, how many of those responses ultimately result in closed transactions? A strong response rate is certainly valuable but the true measure of success is the ROI and the number of deals generated from the campaign.
@Rauph Souleimanov Those are impressive response rates for cold outreach. My next question is, on average, how many of those responses ultimately result in closed transactions? A strong response rate is certainly valuable but the true measure of success is the ROI and the number of deals generated from the campaign.
Honestly it just depends on the list
We probably average two to three deals every single month.
But depending on the strategy, if you're looking to buy single-family homes, land, multifamilies, commercials, or whatever it is, I would assume you would have different conversion rates.
It also depends on your team and the ability to convert every single deal.
Rauph, you said most AI use cases in wholesaling are noise. I'd add one more that's actually working: AI pulling county records to build seller lists before the SMS even goes out.
The problem with SMS outreach — even at 15-25% response rates — is you're still texting people who may have zero motivation to sell. The list quality determines everything, like you told Janice.
Here's what's working: using AI to cross-reference three free county data sources on the same property:
1. County Tax Collector — tax delinquent list (financial stress documented by the county) 2. City Code Enforcement — violations with dollar-amount repair costs from inspectors (physical stress — when an inspector documents "$12K in structural repairs" that's repair scope before you drive the property) 3. County Clerk of Court/Register of Deeds — probate filings, liens, pre-foreclosure (legal complexity)
When the same property shows up on all three — that's converged distress. Three independent county confirmations of motivation at $0 cost.
You said 2-3 deals per month depends on the list. This is the list upgrade: instead of texting a generic absentee owner list, you're texting owners whose properties are tax delinquent AND have $15K in documented code violations AND a probate filing. That's not a cold text — you know their specific documented problem.
Carson mentioned AI summarizing seller intake notes into the CRM. Take it one step further: AI can read code enforcement violation descriptions and extract repair cost estimates before you even make first contact. You know the property needs $8K roof and $5.5K structural before the first SMS goes out.
Since you're in FL — Broward County has thousands of tax delinquent parcels and Auction #113 is October 26. The county publishes the list publicly. Cross-reference against Broward Code Enforcement violations and you have a converged distress list nobody else is building.
Curious — have you tested AI against county data sources at all, or mostly working with purchased lists?