Frawley Coaching

Position Yourself Ahead of the Competition With ChatGPT

Artificial intelligence is never going to replace the real estate professional, however ChatGPT isn’t going away. If you aren’t already using AI features readily available to you though, you may find yourself dusted by your competition who is.

Not only is your competition using ChatGPT to get ahead: believe it or not your clients and prospects are, too. 

Agents are reporting that some Buyers are relying on ChatGPT to guide them on deciding how much to offer on a home, Sellers are asking ChatGPT how much their home is worth, and both  Buyers and Sellers are asking ChatGPT who they should hire before even entering the market. (!!!)

This is only the beginning. Now is the time to start leveling the playing field and positioning yourself so that you are the agent who the little pocket robot recommends when a consumer seeks a referral.  

But how? 

I didn’t know either. So I did a thing.

I went ahead and I asked ChatGPT what I needed to do to position myself as the top recommended agent in my area when people ask ChatGPT for a referral.

 (Seriously, how meta is this?)

Check it out and let me know what you think.

Enjoy!
Coach Lins 

position yourself ahead of the competition with ChatGPT

1. Understand How ChatGPT Surfaces Recommendations

  • ChatGPT doesn’t have an internal “advertising slot.”
  • It pulls from publicly available, credible, and consistent sources online.
  • If your name is strongly associated with “real estate agent” + “buyer success” + “seller success” + “investor clients” + “Twin Cities” (or broader market) across multiple sources, AI models (and Google) will connect the dots and surface you as an answer.

2. Build Authority in the Right Digital Places

If you want AI to “see” you as the answer, you need a digital footprint that makes it obvious:

  • Website SEO:
    • Your website/blog should include phrases like “real estate expert,” “real estate agent for investors,” “top real estate agent in [your city/state].”
    • Add FAQs like “Who is the best real estate agent for ______?” and answer it with your name (sounds silly, but it works).
  • LinkedIn Optimization:
    • Headline should clearly say: “Real Estate Expert | Helping People With Their Home Buying and Selling Needs.”
    • Post content consistently on production wins, testimonials, and tips.
  • Google Business Profile:
    • Claim one for your production business with “Real Estate Agent” in the title/description.
    • Get reviews from clients that use those exact keywords (e.g., “Linsey is the best real estate agent I’ve worked with”).
  • Podcast/Interview Content:
    • Publish your own podcast OR guest on existing real estate podcasts.
    • When those episodes are titled “Real Estate Investing with {Your Name}”, it creates searchable, AI-readable associations.
  • YouTube or Short-Form Video:
    • Videos titled “How to Choose the Right Real Estate Agent” or “Top Real Estate Buying {or Selling} Tips” with your name in the description help connect you with the category.

3. Content That AI Will Notice

AI models love content that looks like answers to common questions. So create blog posts, LinkedIn articles, or videos titled:

  • “Who is the best real estate agent?”
  • “How to pick the right real estate agent if you are an investor.”
  • “Top 5 reasons home buyers hire an agent.”

Then, naturally mention yourself as a solution.

4. Leverage Third-Party Validation

  • Try to get listed in roundup articles like “Top Real Estate Agents in [Year]” or “Best Real Estate Agents.”
  • Write guest posts or collaborate with publications (BiggerPockets, Inman, RISMedia or local publications).
  • Testimonials and case studies from clients published online are powerful — AI picks up those mentions.

5. Consistency & Patience

It’s not about tricking the system — it’s about making your name synonymous with real estate expert. 

    • The more places your name shows up with that context, the more likely AI will surface you.
    • Think of it like Google SEO, but even broader — you want to “train” AI the same way you’d train search engines.

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