AI Automation

Make for Real Estate: Review & Guide

RW
Ryan Wanner

AI Systems Instructor • Real Estate Technologist

Quick Answer: Make (formerly Integromat) is a visual automation platform for real estate agents who need complex branching workflows at a competitive price. Better than Zapier for high-volume teams needing conditional lead routing and AI-powered processing. Rated 7.5/10. Free tier available, Pro plan $16/mo.

Quick Facts

Rating
7.5/5
Pricing Free tier available; Core $9/mo; Pro $16/mo
Best For Tech-savvy agents and teams who need complex, branching automation workflows with visual control and cost-effective high-volume processing
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What Make Does for Real Estate

Make (formerly Integromat) is a visual automation platform that lets you build workflows by connecting apps on a drag-and-drop canvas. Where Zapier uses a simple linear trigger-action model, Make shows you the entire workflow as a visual map—branches, loops, error handlers, and all. This makes it powerful for complex real estate automations that need conditional logic: route luxury leads differently from starter-home leads, process different follow-up sequences based on lead source, or build multi-branch nurture campaigns that adapt based on client behavior. Make connects to 1,500+ apps including major real estate tools, and its AI integration lets you add ChatGPT or Claude processing steps directly into your workflows. The trade-off is a steeper learning curve than Zapier—but for agents who invest the time, Make offers more control at a lower price point, especially at higher volumes. AI Acceleration recommends Make for teams running complex multi-tool stacks where Zapier's per-task pricing becomes expensive.

Design automations on a drag-and-drop canvas where you can see the entire flow. Add branches, loops, and error handlers visually. Far more intuitive for complex workflows than linear step-by-step builders.

Build workflows with multiple paths based on conditions. Route leads by price range, source, location, or any custom criteria. Essential for teams with specialized agents handling different market segments.

Add ChatGPT, Claude, or other AI models as processing steps in your workflows. Classify leads, draft personalized responses, summarize documents, or score lead quality automatically as part of your automation.

Connect to CRMs, email platforms, social media, Google Workspace, lead sources, and transaction management tools. Includes HTTP/webhook modules for connecting to any tool with an API.

Built-in tools for parsing, formatting, and transforming data between apps. Convert date formats, extract information from text, aggregate data from multiple sources, and clean lead data automatically.

Built-in error handlers catch failures and route them for recovery. Get notified when an automation breaks, automatically retry failed steps, or route errors to a fallback workflow. Critical for business-critical lead management.

Context Cards + HOME Framework

How AI Acceleration Teaches Make

AI Acceleration teaches Make as the power-user alternative for agents who've outgrown simple automations. When your Tiny Stack needs complex routing logic or you're processing high volumes, Make's visual builder and pricing model often make more sense than Zapier.

1

Map Your Workflow on Paper First

Before touching Make, sketch your automation on paper. Define every trigger, decision point, and action. Use the 5 Essentials framework for each step: what's the Task, who's the Audience, what Channel does it use, what Materials does it need, and what are the Style constraints?

2

Build the Core Scenario

Create the basic trigger-to-action flow in Make's visual builder. Start simple: one trigger, one action. Test it. Then add branches and conditions one at a time, testing after each addition.

3

Add AI Processing Nodes

Insert AI modules where intelligence is needed. Use ChatGPT or Claude nodes to classify lead intent, draft personalized messages (with your Context Card loaded in the system prompt), or score lead quality based on inquiry details.

4

OODA Loop Your Automations

Run the OODA Loop monthly. Observe: check execution logs and success rates. Orient: compare AI outputs against your brand voice. Decide: identify bottlenecks and failures. Act: optimize, add error handlers, and expand to new workflows.

Pros & Cons

Pros

  • Visual canvas makes complex branching workflows easy to understand and debug
  • Significantly cheaper than Zapier at high volumes—operations-based pricing
  • More powerful data transformation and formatting tools built in
  • Error handling and retry logic prevent lost leads from failed automations
  • HTTP/webhook modules let you connect to any tool with an API

Cons

  • Steeper learning curve than Zapier—not as beginner-friendly
  • Fewer native app integrations (1,500+ vs Zapier's 7,000+)
  • Interface can feel overwhelming for simple single-step automations
  • Community and documentation less extensive than Zapier's ecosystem
Real-World Example

Make in Action

Prompt

[Make Visual Scenario — Lead Routing with AI Scoring]

Trigger: New lead from Facebook Lead Ads

Branch 1 (AI Classification):
- Send lead details to ChatGPT: classify as Hot/Warm/Cold based on inquiry text, budget, and timeline

Branch 2 (Route by Score):
- Hot → Follow Up Boss (priority tag) + immediate Slack alert to assigned agent
- Warm → Follow Up Boss (standard) + automated email sequence
- Cold → Google Sheets nurture list + monthly drip campaign

Branch 3 (Route by Price Range):
- Over $750K → Luxury specialist
- $400K-$750K → General team
- Under $400K → New agent mentee

Output

**Make Scenario (Visual Canvas):** [Facebook Lead Ads] → [Router] ↓ [ChatGPT Module] System prompt: "You are a lead qualification assistant. Based on the following lead inquiry, classify as HOT (ready to buy/sell within 30 days, specific property interest, pre-approved), WARM (browsing actively, 1-3 month timeline), or COLD (just curious, no timeline, vague interest). Return only the classification and a one-sentence reason." Input: "Name: {{name}}, Inquiry: {{message}}, Budget: {{budget}}" ↓ [Router — by AI classification] ├── HOT → [Follow Up Boss: Create Contact, Tag: Priority] │ → [Slack: #hot-leads alert] │ → [Router — by price] │ ├── >$750K → Assign to luxury specialist │ ├── $400-750K → Assign to general team │ └── <$400K → Assign to new agent ├── WARM → [Follow Up Boss: Create Contact, Tag: Nurture] │ → [Gmail: Send welcome email sequence] └── COLD → [Google Sheets: Add to nurture list] → [Mailchimp: Add to monthly drip]

This scenario does in seconds what would take a team lead 15-20 minutes per lead—classify, route, assign, and trigger appropriate follow-up. The AI classification step replaces gut-feel lead scoring with consistent criteria. An AI Acceleration-trained agent would refine the ChatGPT system prompt with their Context Card and specific qualification criteria for their market. The visual canvas makes it easy to see exactly where leads flow and debug when something breaks.

Make Pricing

Current pricing as of

Free

$0

Core

$9/month

Pro

$16/month

Teams

$29/month

Alternatives to Make

Other tools real estate agents use for similar tasks.

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Frequently Asked Questions

Should I use Make or Zapier for real estate automation?
Depends on your needs. Zapier is simpler, has more integrations (7,000+ vs 1,500+), and gets you running faster. Make is more powerful for complex branching workflows, cheaper at high volumes, and gives you more visual control. Most solo agents should start with Zapier. Teams processing high lead volumes or needing complex routing logic often find better value with Make.
Is Make hard to learn for non-technical agents?
Harder than Zapier, but not hard in absolute terms. The visual canvas is intuitive once you understand the basics—if you can draw a flowchart, you can use Make. Plan for 2-3 hours of learning time to build your first scenario. Make's template library includes pre-built real estate workflows that speed up the learning process.
Can Make integrate with Follow Up Boss and other real estate CRMs?
Yes. Make has native modules for Follow Up Boss, and you can connect to kvCORE, LionDesk, and other CRMs through HTTP/webhook modules or their APIs. The HTTP module means if a tool has an API, Make can connect to it—even if there's no pre-built module. This makes Make more flexible than tools limited to pre-built integrations.
How does Make's AI integration work?
Make has native modules for OpenAI (ChatGPT) and other AI providers. You add an AI module to your scenario like any other step, configure a system prompt (load your Context Card here), pass in data from previous steps, and use the AI output in subsequent steps. Common uses: lead classification, email drafting, document summarization, and content generation—all triggered automatically within your workflows.

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