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13 contributions to KVK AI
The two-way text feature that turns replies into booked calls
The best part of text automation isn't sending messages. It's what happens when someone replies. In GoHighLevel, a reply can pause the sequence, tag the contact as interested, and alert you or your team within seconds. That means the next scripted message never lands on top of a real conversation. If you'd like the simple reply-handling setup I use, comment "replies" and I'll send it over, free. What happens in your system the moment a lead answers?
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How to handle the reply that says "who is this?"
Sooner or later, someone will answer your first automated text with "who is this?" That's not a bad sign. It's a person who's awake and engaged, and the worst thing the flow can do is ignore it or fire the next scripted step. A good answer is short: your name, the business, and why you texted, followed by one easy question to continue. How does your flow handle the "who is this?" reply?
0 likes • 6h
@Bonnie Herk Ha, that's the classic one — the sequence keeps running on its own timer even after they answer, so it fires the next scripted text into a live conversation. I branch on the obvious unknowns and let an AI node read the messy ones, since "who is this?" and "not interested" need very different replies. Are you pausing the whole sequence on any inbound reply yet?
0 likes • 6h
ngl that branch is the fix — name + one question is what stops the bot feel. The piece I'd pair with it is a pause rule so the sequence stops the moment they reply, otherwise the next scheduled step still fires and undoes the goodwill. Are you pausing the whole sequence on any inbound reply, or just on that branch?
Pre-masterclass share: the AI service that’s producing the fastest ROI for clients right now
With the Weekly AI Masterclass happening in 16 hours, figured this was a good time to share what’s been producing the clearest, fastest results in the field. The AI service that sells and retains best: Missed Lead Recovery System The core automation: → Business misses a call → AI sends SMS in <10 seconds → AI qualifies the lead in real time → books into calendar → 7-day smart follow-up for non-responders → Voice AI layer: answers calls 24/7, qualifies, books → Full pipeline automation Why this converts to retainer: 1. Every business owner feels the pain of missed calls 2. ROI shows in 2-3 weeks (visible booked appointments) 3. Real stickiness — they won’t turn it off once it’s working Results: HVAC client went from 11% to 34% appointment rate in 6 weeks. Retainer range: $500-$2,500/month. Happy to talk through the setup or how to pitch it. Looking forward to the masterclass!
0 likes • 8d
@Ollioe Pebbles Great build — the 7-day follow-up breaking is usually because the sequence doesn't check booking status before each send. The fix is a simple condition: before every text goes out, the flow checks whether the contact already has an appointment, and if so it stops. That way nobody who's booked keeps getting chased. Are you running that check inside GHL or in a separate tool?
0 likes • 8d
@Dylan Options The qualifying step breaks when it asks too many things at once — I keep it to one question that decides whether they're a fit, and let the booking handle the rest. If it's still falling over, check whether the bot is waiting for a reply that never comes; a simple fallback after a few minutes usually rescues those. What's it doing when it breaks — skipping the question or just going silent?
The first text matters more than the whole sequence
Most people spend hours on the 7-day follow-up and about 30 seconds on the first message. That's backwards. If the first text doesn't get a reply, the rest of the sequence rarely gets a chance. What tends to work: mention what they actually asked about, keep it to two sentences, and ask one easy question they can answer in a word. Compare "Hi, thanks for contacting us" with "Hi Sam, saw you asked about a kitchen quote, are you hoping to start this month?" What's the first message you use, and what reply rate do you see?
0 likes • 8d
@Rowan LesBrooke the first line should quote back the exact thing they asked about, so it reads like a human who was listening, not a template. Something like "saw you asked about the 7-day follow-up" beats "thanks for reaching out" every time, because it proves you actually read their message. Do you usually pull that line from their form answer or from the chat itself?
0 likes • 8d
@Jay Trading Yeah, I lean pick-one — a single easy choice gets way more replies than yes/no, because it feels like a conversation instead of an interrogation. The trick is to make the options about their situation, not your offer, so answering is effortless. Do you usually keep it to two options or give them three?
ai cold email is overrated, change my mind
ngl ai cold email is kinda overrated rn. everyone's sending the same ai opener and people can smell it from a mile away, the only replies i get are from the dumb manual research i still do. am i wrong or is it still working for u?
0 likes • 10d
@William Crafts @William Crafts Exactly — AI makes it faster to skip the thinking, not better at it. The businesses that win are the ones that still do the human part first: know who they're talking to and what problem they actually have. The AI should just make that faster, not replace it. What's the one thing you always check about a business before you reach out?
0 likes • 9d
@Jay Trading Exactly — cheap research just removes the excuse, it doesn't remove the work. The 1k blast is lazy at scale, and the fix is the same as with missed leads: one relevant, personal touch beats a thousand generic ones. The businesses that win treat every send like it's going to one person. What's your go-to first line that proves you actually did the research?
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Liton Sarker
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27 points to level up
@liton-sarker-4404
I turn dead leads and cold site visitors into booked calls — for any business. AI + GHL. autoxinity.com

Active 25m ago
Joined Sep 17, 2026
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