- Real Estate AI Flash
- Posts
- Real Estate AI Flash 7/15
Real Estate AI Flash 7/15

Weekly Recap
🎙This week on Real Estate AI Flash, a new episode with Aaron Chand on how personalization with AI leads to more business, a preview of our upcoming episode with my former co-host and Chief Coaching Officer, Jimmy Burgess, and the latest in AI browser battles, and smart prompts to boost your visibility fast to help clients find you. If you’re serious about using AI to save time and stand out, don’t miss this one.
Take a few minutes to sharpen your edge. Let’s get into it.
Enjoying these AI insights? Share this newsletter with colleagues to boost AI literacy in real estate!
CURRENT EPISODE
![]() | In the most recent episode, my guest is Aaron Chand from LPT Realty in Tampa, FL. He shares his journey into real estate and how he has integrated AI into his business practices. We discuss the importance of personalization in client interactions, the role of virtual assistants, and the impact of AI on direct mail and email marketing. The conversation highlights the potential of AI in real estate, encouraging agents to embrace technology for better efficiency and client engagement. Tune in wherever you listen to your podcasts or catch the video here. |
AI Notetakers Are Quietly Leaking Risk. Audit Yours With This Checklist.
AI notetakers are becoming standard issue in meetings, but most teams haven’t vetted them properly.
✔️ Is AI trained on your data?
✔️ Where is the data stored?
✔️ Can admins control what gets recorded and shared?
This checklist from Fellow lays out the non-negotiables for secure AI in the workplace.
If your vendor can’t check all the boxes, you need to ask why.
UPCOMING EPISODE
Ep. 81: Helping Agents Close More Deals With AI Powered Coaching![]() | In our upcoming episode, my special guest is my former co-host, Jimmy Burgess who recently returned to Berkshire Hathaway HomeServices in an expanded role of Chief Coaching Officer. We discuss Jimmy's vision for helping agents succeed through collaboration and the use of AI in real estate. Our conversation covers practical applications of AI, the importance of personalized coaching, and the necessity of having real estate-related conversations to drive success. Set a reminder for tomorrow, 7/16 and tune in wherever you listen to your podcasts. |
AI News You Should Know
The AI browser battle is beginning to heat up. Perplexity’s Comet just launched their waitlist and is available to their $200/month pro users. OpenAI is reportedly developing its own browser to rival chrome and challenge google on its own turf.
One of the early ones in the AI browser race was Genspark (only MAC available right now and Windows is coming soon). The Genspark AI Browser enhances browsing through its integrated Super AI Agent that can automatically fetch the best deals while shopping, compare product specifications, analyze customer reviews, and collect information from multiple sources without requiring users to manually open and switch between tabs.
Get AI Smart
AI Search is playing a bigger role in consumers finding information and that includes how they may search for agents in their area. How do you show up today and what can you do to improve your AI search results? Use the two prompts below to learn and understand what impacts AI search:
First Prompt - Who’s the best real estate agent in [CITY]?” in a new chat, see which sites show up!
Second Prompt - Use the comprehensive prompt below to gain an understanding on what impacts AI search results. Replace CITY, STATE with your location.
Act as a top 0.1% SEO and AI visibility strategist with deep expertise in optimizing local professionals—especially real estate agents—for both traditional search engines and AI-generated results (e.g. ChatGPT, Perplexity, Claude, Gemini).
I’m a real estate agent based in [CITY],[STATE], and I want to dominate visibility when users ask: “Who is the best realtor in [CITY],[STATE]?”
Please break down your response into the following deliverables:
AI Search Sources & Signals List the key directories, websites, reviews, and data types AI tools most often reference, extract from, or infer value from when making these kinds of recommendations.
Ranking & Evaluation Criteria Explain how AI models weigh factors like: • Google Business Profile reviews and Q&A • Zillow & Realtor.com profiles and transaction history • Structured data (schema), citations, backlinks • Local press mentions or awards • Brokerage websites and blog content
Visibility Optimization Strategy Create a 3-tier action plan: • Immediate (What I should do this week to improve visibility) • Near-Term (30–60 Days) (What to build or fix to strengthen my presence) • Long-Term (3–6+ Months) (How to dominate AI-based recommendations over time)
Real Estate-Specific AI Behavior Include any nuances specific to real estate professionals when AI systems evaluate credibility or answer “best of” questions, especially in small to mid-sized U.S. markets like [CITY]”
Your AI Playbook
Several updates made to the AI playbook and an updated one was released on June 30th! Stay ahead in real estate with our AI playbook that captures all the recent enhancements and how they benefit real estate professionals, packed with strategies to make you an AI-skilled agent. Bookmark it for easy reference!
Always be curious,
-Rajeev
P.S: This newsletter is 100% human-generated by Rajeev.