AI can plan your meals, write poetry, and edit your photos... but pricing your home? Not so much.

If you know me, you know I love experimenting with AI tools to see how they can make my day-to-day work more efficient. Recently, I decided to test its limits on real estate market analysis.

I fed the exact same property prompt into 4 different AI platforms to pull comps and recommend an offer price.

The result? 4 completely different numbers. 📊

If you’re thinking about buying or selling, relying solely on automated algorithms or "Zestimates" can lead you down the wrong path. Here’s why AI falls short:

• It can’t judge condition: AI pulls public records, but it doesn't know if a home has been immaculately maintained or severely neglected.

• It lacks local context: Algorithms don't know what buyers in our specific neighborhood are actually looking for, or which outdated features will drop a home's value.

• It can't spot bad data: AI can't tell if an out-of-state agent priced a home using the same faulty tech, creating a loop of inaccurate listing data.

The Takeaway

AI is great for a rough ballpark, but real estate pricing requires getting into the weeds. A local agent understands market nuance, evaluates true home quality, and builds a personalized strategy tailored to your financial goals.

Watch the full video below to hear my thoughts on the test! 👇

What's your take—have you tried using AI for real estate research yet? Let me know in the comments!