Skip to main content

ResearchAI: Turn Market Data Into Action in Seconds ⚡📊

Instantly analyze market trends, prep for meetings, and uncover opportunities with Courted’s ResearchAI.

Mia Matziaris avatar
Written by Mia Matziaris
Updated this week

Intro – What is ResearchAI? 💡

ResearchAI is Courted’s built-in AI assistant that instantly transforms your Market Trends and Market Share data into clear, actionable insights. Whether you’re prepping for a client meeting, planning a recruiting conversation, or tracking competitors, ResearchAI does the heavy lifting—so you can focus on building relationships and growing your business.


Why We Built It 🛠️

We heard the same challenge from many of you:

  • Your best work happens face-to-face.

  • But you spend hours pulling, formatting, and analyzing market data—often repeating the same reports for multiple regions.

ResearchAI was designed to:

  • Save time on market research, competitive analysis, and meeting prep.

  • Interpret data instantly and give you a head start on messaging, strategy, and talking points.

  • Make insights accessible without needing to export or crunch numbers yourself.


How It Works 🖥️

1. Go to Market Trends or Market Share and apply your desired filters.

2. Click the purple “ResearchAI” button in the top right.

3. Instantly get a data-driven summary of the market or competitive set you’re viewing.

4. Ask follow-up questions 💬 in plain English—about pricing trends, recruiting opportunities, competitive strengths, or anything else relevant to the data on your screen.

💡 Tip: ResearchAI only uses the data you have on your screen. Adjust your filters to change its scope.


Popular Use Cases for ResearchAI 🚀

1. Client Meeting Prep

  • Summarize market conditions for a specific price range or neighborhood.

  • Create talking points for listing presentations 🏡 or buyer consultations.

  • Export PDFs or copy text directly into email updates 📧 or social media posts 📱.

✏️ Suggested prompts:

What talking points should my agent bring to a listing presentation against [Competitor]?

What should I list a 4-bed, 3-bath home for in [Zip Code] if I want to sell it fast?

Who are the best buyers’ agents in [Zip Code] at [Price Point]? (for reverse prospecting your listings).

2. Recruiting

  • Identify top producers 🏆, agents with high growth potential 📈, or those ready for a bigger platform.

  • Ask for tailored talking points based on an agent’s recent performance.

  • Develop a recruiting strategy for a specific office, brand, or agent segment.

✏️ Suggested prompts:

What’s my recruiting strategy for [Agent Name] based on their last 12 months of production?

I’m meeting with [Agent Name] this afternoon—how should I approach recruiting them?

Which agents in this market have the highest year-over-year growth in units sold?

What recruitment strategies should we consider to win against [Brand]?

3. Competitive Analysis 🏁

  • Compare your brand, office, or agent directly against competitors.

  • See where you outperform ✅ and where you can gain ground 📊.

  • Use data-backed messaging to win listings head-to-head.

✏️ Suggested prompts:

Compare my office to [Competitor Office]—what are our strengths and weaknesses?

What are we the best at compared to competitors?

How do my agents win deals against [Competitor]?

4. Strategic Planning

  • Spot shifts in market share 🔍.

  • Evaluate potential M&A opportunities 🤝.

  • Identify target segments for growth (price points, geographies, agent types).

✏️ Suggested prompts:

Summarize market trends for $750K+ listings in [MLS Name].

How can we gain market share in [City/Zip]?

What brands should we target for recruiting?


Pro Tips for Best Results 🌟

  • Be specific in your questions. “Is now a good time to list?” will give you a decent answer. “Is fall a good time to list in the $500K+ segment of Denver?” will give you a great answer. If you feel like the insight ResearchAI is providing is a bit too generic, try asking it to refine the analysis by focusing on even more statistics, including any specific metrics you're interested in.

  • Use it as a thought partner. Treat ResearchAI like a brainstorming assistant—refine and follow up to get to the best insight.

  • Think beyond one use case. The same tool can help with recruiting prep, coaching, competitive intel, client content, and strategic planning.

  • Export and share. Copy text directly into marketing materials, or use PDF exports for professional, data-rich handouts.


Other Unique Use Cases

Beyond the core use cases previously mentioned, there are infinite additional ways you can leverage ResearchAI to support your business, including, but not limited to:

📝 Content & Marketing

Use ResearchAI to turn data into polished marketing assets. Whether it’s drafting a blog post, writing email campaigns, or generating video scripts, you can quickly create content that positions you (or your brokerage) as the local market expert.

✏️ Suggested prompts:

Write a blog post about the [Town, State] market and compare it to last year.

Draft a marketing email to luxury agents in [Zip Code] using Market Trends.

Create captions or scripts for short videos positioning me as a thought leader.

🎓 Coaching & Education

ResearchAI helps you keep your team sharp without the manual prep. Generate ready-to-use reports, talking points for meetings, and shareable one-pagers so your agents always have a clear story about the market in their area.

✏️ Suggested prompts:

Create a market report and talking points for my next sales meeting (no manual drafting needed).

Draft a one-page overview my agents can share with clients about the markets where they have listings.


Final Thoughts

ResearchAI turns complex MLS data into immediate, usable insights—helping you go from “I should run a report on that” to “Here’s my action plan” in seconds. The more you use it, the better your questions will get—and the more value you’ll see!

Did this answer your question?