I have a basic Business in A Box for Roofers but need help implementing Closebot

Does anyone know a solid voice Ai that can handle inbound appointment booking? and if you have a phone meeting booked that it could trigger a phone call with the AI and the invitee and the AI could run a qualifying call and book an appointment? would love some feedback

Here is why: it is a question that every GHL builder can answer immediately from personal experience. The word "killer" creates a slight emotional charge — it is not neutral, it implies pain, and pain-based questions get more responses than curiosity-based ones. It is also short enough to read in one second while scrolling.

After building 15+ GHL chatbots for one client, I noticed a pattern in every bot that underperformed. They all had the same problem: the prompt was written like an essay. GHL's AI engine reads prompts in three distinct sections — Identity, Goal, and Additional Info. When you mix everything into one block of text, the bot loses context mid-conversation and starts making things up. Here's what each section should contain: Identity — Who the bot is, what business it represents, its name, tone, and hard limits on what it will and won't discuss. Be specific. Vague identity = vague bot. Goal — One primary objective only. Book an appointment. Qualify a lead. Answer FAQs. One goal. Bots that try to do everything do nothing well. Additional Info — Business-specific rules, escalation triggers, hours, services, objections, and your Knowledge Base connection. This is where most people underload. The bots that actually book appointments follow this structure exactly. Anyone else found this to be true? What's the biggest prompt mistake you've seen in GHL?

Just presented a $7k DBR install with $1500 MRR to a local hardware store to reactivate their contractor/service desk database. After feeling very fortunate to watch @Robb Bailey IRL this past weekend in Vegas, and several weeks ago in Costa Rica, I feel like I can confidently sell DBR to just about anyone with a database at this point. Stoked!