Build a CMA Workflow with AI + MLS Data

An AI-assisted CMA workflow needs two separate checks: permission to use the source material and a review of the analysis it produces. Neither is settled by a well-written prompt.

Start with your brokerage’s approved process and the rules that apply to your MLS data. The outline below shows where a draft or summary may fit once that use is approved.

1. Start With a Clean CMA Framework

AI isn’t here to replace your analysis, it’s here to simplify, structure, and pressure test your pricing logic.

Your CMA Foundation Checklist

• Subject property details
• 3 to 6 true comparables
• Adjustments (condition, size, features, location)
• Pricing range
• Recommended strategy

Why This Matters

A consistent format makes missing information easier to spot and the output easier to compare with the source.

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2. Export Only What’s Allowed From the MLS

Use only data you are authorized to upload under the applicable MLS rules, license and client agreements, and the chosen AI provider’s terms. Rewriting a description or summarizing a record does not create permission to upload it.

Do not upload confidential client or property information without the required authorization. Removing names alone does not establish permission either. Confirm the proposed input and tool with your brokerage before proceeding.

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3. Create a Summary From Approved Inputs

Here’s the workflow: Confirm authorized inputs → Agent prepares summary → AI drafts → Agent reviews.

Check the summary against the source, and confirm that its use in the chosen tool is permitted.

Template: Summary of Approved Inputs

SUBJECT PROPERTY SUMMARY (Agent-Written)

Type:

Beds/Baths:

Sq Ft:

Lot Size:

Year Built:

Condition:

Notable Upgrades:

Location Notes:

COMPARABLE SUMMARIES (Agent-Written) Comp 1:

Closing Price:

Distance from Subject:

Beds/Baths:

Sq Ft:

Condition:

Key Differences:

Comp 2: (same structure)

Comp 3: (same structure)

NOTES:

Anything you want the AI to consider (market shifts, neighbourhood micro trends, seller goals).

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4. Build Your AI CMA Workflow (Prompt Included)

Once you have confirmed authorization for the specific data and tool, prepare a summary using only those approved inputs.

Sample AI CMA Prompt

You are an assistant reviewing property summaries I am authorized to process in this tool. Use only the supplied facts and identify missing information.

Based on the summary below:

Identify patterns across comps.

Estimate a pricing range with reasoning.

List required adjustments (size, condition, location).

Highlight risks or outliers.

Suggest a clear price strategy for sellers.

Here is my summary: [PASTE YOUR APPROVED SUMMARY HERE]

A prompt cannot establish data-use permission or guarantee an accurate valuation. Both need separate review.

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5. Layer in Adjustments with AI (But Don’t Skip Your Judgment)

Possible review tasks include:

• Normalizing comp differences
• Explaining price gaps
• Spotting overlooked variables

But you make the final call.

Ask AI:

“Show me adjustments if the subject were +150 sq ft larger or had updated bathrooms. Give the price effect in ranges, not exact numbers.”

A range still needs market evidence. Review the basis for any adjustment before using it.

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6. Draft the CMA Explanation

Once you approve the pricing logic, use AI to rewrite it in a clean client ready style.

Example Client Narrative

“Based on three recent sales within 0.4 miles, your home’s size and condition position it competitively in the $465K to $485K range. The strongest comp sold for $482K but had a slightly smaller lot. Given today’s inventory and your timeline, we recommend listing near the middle of the range to maximize activity without sacrificing value.”

This is a hypothetical sample. Use only prices, comparisons, and recommendations supported by the actual analysis.

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7. Create a Repeatable CMA Workflow (Here’s a Full System)

Use a checklist to track the source review, draft, and final approval.

Step-By-Step Workflow

Step 1: Run MLS search

Pull 3 to 6 true comparables.

Step 2: Confirm the permitted inputs

Use only information you are authorized to upload. Summarizing, paraphrasing, or anonymizing it does not by itself grant permission.

Step 3: Paste into the AI CMA Workflow Prompt

Get patterns, ranges, and adjustments.

Step 4: Pressure-test the results

Ask AI:

• “What would you reconsider if days-on-market doubled?”
• “Which comp should weight most heavily and why?”

Step 5: Generate a client-ready narrative

Have AI produce 2 versions:

• Simplified
• Analytical

Step 6: Finalize in your CMA template

You’re in control of the final numbers.

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8. Add a Bonus Layer: Automate the Workflow

Before connecting forms or automation tools, confirm where data will be sent, stored, and accessed.

Automation Ideas to Review After Data Use Is Approved

• A Notion or Google Form where you paste your summaries
• A Zapier/Make automation that sends the summaries to GPT
• A saved CMA prompt that auto-generates a pricing breakdown

A separate form or automation does not remove the original data-use restrictions.

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9. Follow This Rule: AI Supports Your Thinking; It Doesn’t Replace It

Review the source data, adjustments, and explanation before presenting a CMA. Keep the basis for the final pricing recommendation in the file.

Download my free 5 AI Automations Guide to start building these workflows today.

Download the free 5 AI Automations Guide → https://khaitranofficial.com/ai-ops