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July 17, 2026 · 3 min read
A Note From Behind the Lens,
I’ve spent thousands of hours behind a camera photographing homes, and one thing has always stood out to me: real estate agents who keep learning are the ones who keep winning. The market changes, technology changes, and buyer expectations change—but the people who stay curious always seem to find the next opportunity before everyone else.
AI reminds me a lot of when digital photography started changing my industry. At first it felt overwhelming, and there were plenty of people convinced it would replace professionals. Instead, it became another tool that rewarded the people willing to learn it. I think we’re at a similar moment in real estate today. This week’s stories are full of practical ideas—from showing up in AI search results to making smarter pricing decisions—that can help you stay one step ahead. I hope you find something worth putting into practice this week.
This week, we're looking at how agents can improve their positioning in AI search results, practical strategies for negotiating price reductions, and what Douglas Elliman's AI overhaul signals for the industry. Plus, a story about how real estate organizations are rethinking decision-making in the AI era. Let's dive in.
- Tony (with Alan)
HOW-TO AND TIPS
Inman
An agent tested AI tools to develop strategies for negotiating seller price reductions. The AI-generated approach focused on market data, comparable sales, and positioning the reduction as strategic rather than desperate. It's a practical look at how agents can use AI for negotiation prep.
HousingWire
With AI-powered search tools recommending agents to buyers and sellers, top performers are optimizing their digital presence to show up in these results. The article breaks down what factors influence AI recommendations and how agents can improve their positioning. Think of it as SEO for the ChatGPT era.
INDUSTRY SHIFTS
The Real Deal
Douglas Elliman is implementing major AI-driven changes that have agents wondering about their roles going forward. The brokerage is automating tasks and centralizing tech in ways that could reshape what agents actually do day-to-day. It's a signal of broader industry transformation.
Propmodo
Real estate companies are moving from gut-based decision-making to AI-driven analytics for everything from pricing to market timing. This shift requires new skills and changes the competitive landscape. If your brokerage isn't using data this way yet, competitors probably are.
Same AI software. Wildly different results.
Every company in this dataset bought the same AI capabilities. The difference in results came down to one thing: whether someone inside CX owned it.
One beauty retailer made 202 workflow updates in 30 days — refining as policies changed and new questions came in. Companies without a named owner saw performance stall or decline.
Read the data on what separates AI deployments that work from the ones that stall, and the four questions worth asking before your next AI investment.
3 AI PROMPTS TO TRY THIS WEEK
Price Reduction Strategy Builder
I'm a real estate agent working with a seller whose home has been on the market for [X days/weeks] at $[price]. Recent comparable sales in the area are: [list 2-3 addresses with sale prices]. Current market conditions: [brief description - e.g., 'inventory up 15%, average days on market is 45']. Help me create a data-driven conversation guide to discuss a strategic price reduction with my seller. Include: 1) How to frame the reduction positively, 2) Specific talking points using the comps, 3) A suggested new price range with reasoning, and 4) How to position this as a proactive move rather than desperation.
AI Search Optimization Audit
I'm a real estate agent who wants to show up when AI tools like ChatGPT, Perplexity, or Google's AI recommend local agents to buyers and sellers. Here's my current online presence: [describe your website, social profiles, review platforms, any content you create]. Audit my digital footprint and tell me: 1) What information AI tools can currently find about me, 2) What's missing that would make me more recommendable, 3) Three specific actions I should take this month to improve my AI discoverability, and 4) What kind of content or data would make me stand out in AI-generated agent recommendations.
Market Shift Decision Framework
I'm a real estate agent trying to decide whether to invest time and money in [specific AI tool, marketing approach, or business strategy]. My market is [describe your market - size, type, competition level]. My business model is [describe - volume vs. luxury, buy-side vs. list-side focus, etc.]. Create a decision framework for me that includes: 1) Key questions I should answer before investing, 2) What data or metrics I should look at to evaluate if this makes sense for my business, 3) A 30-60-90 day test plan to try this without overcommitting, and 4) Clear criteria for deciding whether to scale up or abandon the approach.
WATCH THIS WEEK
Learn how to leverage ChatGPT's new advertising features to precisely target your sphere of influence and past clients with custom audiences—a game-changing AI-powered marketing strategy.
See how a shy immigrant agent used AI to close over $100,000 in deals through Instagram, proving that AI tools can level the playing field for any agent willing to learn.
Jimmy Burgess
Get a behind-the-scenes look at how top agents are integrating AI into their daily workflows to work smarter and close more deals.
