The category we share
Same category. Different build, different customers, different bar.
Closebot is a real AI sales agent. So is MagicBlocks. Both engage leads, qualify them, and follow up across channels. Where we differ is how the AI is built, who's running it, and what we'll let it say.
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How it's built
Specialised at every stage.
MagicBlocks runs specialised playbooks for every stage of the conversation. Each stage knows its job. That shows up under pressure — 98% task completion in stress tests vs the 59% you'd get from a single-prompt setup. Closebot is workflow-based — closer to a flow builder with AI inside it.
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Who's running it
Operators in production.
Including NASDAQ-listed Beeline (mortgage) and Waterbom Bali (tourism). Live across mortgage, finance, auto, home services, health, tourism, legal, and SaaS. Closebot's named customers sit mostly inside the GoHighLevel agency ecosystem.
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Compliance
SOC 2 Type II. ISO 27001.
A separate AI checks every reply before it sends. Data stored in US, EU, or AU. TCPA-aligned consent and opt-out. Built for regulated industries (mortgage, finance, insurance, healthcare) where InfoSec reviews aren't optional.
Side-by-side
Same lead. Same question. Watch the difference.
Both AIs get the same lead. The left is a workflow-driven sales agent doing what workflow systems do well — clean execution on the easy path, predictable on common questions. The right is MagicBlocks handling the same conversation with deeper context and a smarter recovery when the lead goes off-script.
Illustrative comparison. Actual Closebot output varies. Both are real AI sales agents; the comparison shows how they're built differently.
Feature by feature
Where the two diverge. Honest, line by line.
| How it's built | Workflow + AI inside it | Specialised playbooks for every stage of the conversation |
|---|---|---|
| What it remembers | Per session | One memory per lead — across calls, channels, and time |
| Channels | Chat, SMS, email | Chat · SMS · email · voice (where licensed) |
| Qualification frameworks | Configurable workflows | BANT · MEDDIC · CHAMP · SPICED · custom |
| Multi-day follow-up | Yes | Yes — adapts to engagement signals |
| Reactivating cold leads | Limited | Triggered by real signals, consent-validated, personal |
| Hallucination control | Standard | A separate AI checks every reply before it sends |
| Stress-test results | Not published | 98% task completion across 400 conversations (Z = 9.33, p < 0.00001) |
| Compliance certifications | Varies | SOC 2 Type II + ISO 27001 (independently audited) |
| Data location | US-default | US · EU · AU |
| Named customers in production | Concentrated in agency / GHL ecosystem | NASDAQ-listed Beeline (mortgage) · Waterbom Bali (tourism) · regulated finance, auto, home services, health, legal, SaaS |
| Pricing model | Per workspace / volume | Per worked lead, billed quarterly |
When each fits
Different teams, different fits.
Closebot fits agencies on GoHighLevel who want a workflow-style AI agent tightly integrated with GHL. If your business is mostly on GHL and you want the simplest layer on top, that's a reasonable choice.
MagicBlocks fits regulated, high-stakes industries — mortgage, finance, insurance, healthcare, fintech — where you need specialised playbooks for every stage, SOC 2 + ISO 27001, every reply checked before it sends, and proof from inside NASDAQ-listed Beeline. We also fit teams with high inbound volume (tourism, auto, home services) where the AI has to work across multiple channels and stay persistent without getting pushy.
What it takes to switch
Migrating to MagicBlocks is 14 days, not 14 weeks.
Most teams we work with come from one of three places: no AI sales agent before, an old chatbot, or another AI sales tool. The migration is the same either way.
Days 1–7.
Voice, qualification rules, cadence, integrations, compliance settings. Onboarding leads — your team approves.
Days 7–21.
Parallel traffic for 7–14 days. Compare against your current system. Adjust playbooks based on real conversations.
Days 21–30.
Full rollout. Old tool turned off. Most teams done inside 30 days. The bottleneck is your content review, not setup.
Buyer FAQ
Questions buyers ask when evaluating both.
We're already on Closebot. Should we switch?
Switch if:
- You're in a regulated industry where SOC 2 Type II + ISO 27001 and a separate AI checking every reply matter.
- You need specialised playbooks for conversations that go beyond the happy path.
- You want the proof of running inside NASDAQ-listed Beeline.
- Your inbound volume is straining a workflow setup.
Don't switch for the sake of it — Closebot is a real product and the migration cost is real.
Pricing — how do you compare?
Closebot prices per workspace and chat volume. MagicBlocks prices per worked lead, billed quarterly. The comparison that matters is cost per booked deal, not cost per conversation.
Run the ROI calculator with your real numbers — most teams find MagicBlocks lower per booked deal once the lift kicks in.
Does MagicBlocks work with GoHighLevel?
Yes — built in. GoHighLevel is one of our in-kit integrations. If you're on GHL and weighing both options, the integration depth is similar — the difference is in how MagicBlocks runs the conversation.
How long to be fully off Closebot?
14–30 days for most teams. The bottleneck is your content review (qualification rules, voice, compliance settings) — not the setup itself.
What's the strongest argument for Closebot?
Simplicity for GHL-native agencies running straightforward inbound flows. If your conversations don't branch much past standard qualifying questions and you're deep in the GHL ecosystem, Closebot's tighter GHL integration is real and shouldn't be dismissed.
What's the strongest argument for MagicBlocks?
Specialised playbooks for every stage, SOC 2 Type II + ISO 27001, every reply checked before it sends, proof from inside NASDAQ-listed Beeline, and how MagicBlocks holds up when real conversations get messy. If any of that matters, MagicBlocks is the call.
How do I A/B test both?
Run parallel traffic for 30 days — split inbound 50/50. Measure qualified handoffs, conversion, and time-to-handoff. Most teams run a 30-day pilot before full cutover.