“From the beginning, we wanted RETSY to feel different,” said Chris Morrison, CEO and founding partner of RETSY. “We wanted it to look, sound, and perform like a modern luxury brand, not a traditional brokerage.”

That vision helped RETSY surpass $1 billion in sales volume within its first 16 months. Today, the Phoenix-based brokerage has closed more than $5.1 billion in total sales. The full story behind that growth, including the systems that supported it, is detailed in a new case study available here.

Growth Reveals the Cracks

Rapid growth has a way of exposing what isn’t built to scale. As RETSY expanded, leadership realized that relying on disconnected tools for marketing, CRM, and analytics made it harder to maintain consistency and control.

“The growth happened fast,” Morrison said. “We knew if we didn’t build the right systems early, we’d spend all our time catching up instead of leading.”

RETSY turned to Rechat to consolidate those workflows into a single platform, giving agents faster execution and leadership clearer visibility into what was working.

“When I see that a top agent opened one of our emails 11 times, I know that’s someone I should call,” Morrison said. “Those are the kinds of conversations that lead to deals.”

Rechat also addressed a critical brand concern. “I told them we needed everything white-labeled so every email looked like it came directly from RETSY,” Morrison said. “They listened and built it. That responsiveness meant a lot.”

What Changed After Rechat

The full case study outlines the details, but the results were immediate and measurable.

After implementing Rechat, RETSY saw:

• More than 70% agent adoption
• Listing marketing reduced from hours to minutes
• Greater visibility into agent and client engagement
• Stronger recruiting driven by consistent, polished marketing
• Scalable systems that supported growth beyond $5.1 billion in sales

Why Brokers Should Read the Full Case Study

RETSY’s story isn’t about chasing volume, but about building systems that protect quality while enabling growth.

“We don’t want to be the biggest. We want to be the best,” Morrison said. “Every agent, every listing, every email has to reflect that.”

The full RETSY case study breaks down how leadership, training, and the right technology came together to support one of Arizona’s fastest-growing luxury brokerages.

Download the full case study here.

The post The $5.1 Billion Blueprint: How RETSY Scaled Luxury Without Slowing Down appeared first on WAV Group Consulting.

Most real estate leaders still believe the AI race is about tools. New assistants, automation features, and productivity layers dominate the conversation. That framing is comfortable because it implies advantage can be purchased later. It is also wrong. The real AI race is about infrastructure, data control, and platform positioning. While many organizations are experimenting at the surface, a small group has already secured structural advantages that will be difficult to unwind.

Click HERE to download the paper.

Use code “Agentic AI” for a free copy, for a limited time.

Agentic AI is not another chatbot. These systems plan, reason, and execute multi-step workflows across transactions, search, lending, title, and closing. That level of autonomy requires more than software. It requires trusted, real-time, deeply integrated data foundations built over decades. Without that base layer, AI remains cosmetic. With it, AI becomes infrastructure.

A power shift is already underway. Behind the scenes, a handful of organizations now control the critical data pipelines that agentic AI depends on. Property intelligence, transaction histories, behavioral signals, ownership records, mortgage activity, and spatial data are being consolidated into platforms that can operate continuously and at scale. Once these systems move into production, the advantage compounds. More usage generates more data. More data improves AI performance. Better performance attracts more customers. This is how platform dominance forms.

Click HERE to download the paper.

Use code “Agentic AI” for a free copy, for a limited time.

This shift has serious implications for the technology ecosystem. Many software categories were built for a world where humans manually orchestrated workflows. CRMs, transaction platforms, marketing tools, and lead marketplaces all assume fragmentation and human coordination. Agentic AI collapses that structure. When platforms can coordinate entire transaction lifecycles, the economic value of standalone point solutions declines. This is structural change.

The MLS remains central to this transformation. Despite policy debates and competitive noise, MLS infrastructure continues to serve as the authoritative source of listing truth. Agentic AI systems cannot function accurately without real-time access to this data. Organizations that align with MLS infrastructure gain leverage. Those that attempt to bypass cooperation introduce long-term strategic risk.

The next 36 months will determine market leadership. Infrastructure is being deployed now. Platform consolidation is accelerating. Late movers will not simply catch up. They will operate downstream from dominant platforms.

Click HERE to download the paper.

Use code “Agentic AI” for a free copy, for a limited time.

Some companies have already secured their position. Others are running out of time. Fill the contact form out below to discuss your positioning now!

The post Real Estate’s AI Power Shift: Who Wins, Who Loses, and Why It’s Happening Now appeared first on WAV Group Consulting.

This is not a product announcement. It is a real-world operating model that brokers and MLS leaders can learn from immediately.

The most important takeaway from the conversation was not a specific tool. It was the strategy behind them. Seven Gables made a deliberate decision to build AI internally rather than rent it from vendors. That single decision shaped everything else: cost structure, data control, compliance posture, speed of iteration, and long-term scalability.

As Hickman explained, the goal was never to replace people with automation. The goal was to remove low-value friction so agents and staff could spend more time doing the work that they actually enjoy and grow their businesses.

MikeBot 9000: Compliance and Knowledge at Scale

The first system Seven Gables put into production is MikeBot 9000, a legal, policy, and transaction intelligence chatbot. MikeBot is trained on more than 380 internal documents, including company policies, SOPs, MLS rules, state law resources, and transaction guidance. It is built using a GraphRAG architecture powered by LightRAG, orchestrated through n8n and Airtable.

Instead of returning a single document snippet, MikeBot maps relationships across concepts. That means when an agent asks a question about a contract timeline or legal requirement, the system pulls from multiple authoritative sources at once and cites them directly. Over roughly 70 days of live use, MikeBot has handled more than 180 agent conversations with only nine escalations to management.

What surprised leadership most is how the tool actually strengthens human interaction rather than replacing it. Agents get fast answers to routine questions, then often follow up with leadership for strategic guidance. The AI resolves the procedural work. The human conversation stays focused on judgment and experience.

BioBot: Turning Agent Identity into a Scalable System

The second production tool is BioBot, an AI-driven agent bio generator. BioBot uses a structured interview format that asks agents a series of guided questions, then turns those responses into fully compliant, personalized bios in minutes instead of hours.

This solved several long-standing problems at once by:

• Eliminated manual copywriting delays.
• Blending the company values with the unique qualities of each agent.
• Ensured brand consistency and agent differentiation.
• Created a repeatable system that supports high-quality agent bios at scale, instead of one-off bios written manually 

Seven Gables now has a production pipeline for agent identity.

Agent SEO and AEO Visibility Analyst: Preparing for AI-Driven Discovery

The third system may be the most forward-looking. Seven Gables built an Agent SEO and AEO Visibility Analyst that evaluates how agents appear across both traditional search engines and emerging AI answer platforms. With a single prompt, the system analyzes an agent’s presence across multiple major AI platforms, identifies inconsistencies, and produces a clear, actionable roadmap for improving visibility.

This directly addresses how consumer discovery is changing. Buyers and sellers are no longer just searching Google. They are asking AI engines for answers.

Seven Gables is already preparing its agents for that shift with a production-ready diagnostic and optimization tool. It delivers a solution that not only ensures that the agent shows up in results but also that the agent shows up in a compelling way for prospects and existing clients.

The Technology Stack Is Simple on Purpose

One of the most instructive lessons for brokers and MLS leaders is that Seven Gables did not over-engineer its approach. The core stack is n8n, Airtable, LightRAG, Google Workspace, and major large language models (LLMs). Ongoing maintenance takes less than half a day per week. Document updates are handled internally. There is no large engineering team. Just disciplined execution.

This matters because many organizations delay AI initiatives under the assumption that they require massive infrastructure. Seven Gables proves that production AI can live comfortably inside the tools brokerages already use.

Why This Interview Matters for Brokers and MLSs

The Seven Gables story is not about chasing innovation for its own sake. It is about operational leverage. Compliance questions are resolved faster. Marketing content created in minutes, not hours. Agent visibility optimized for both today’s search engines and tomorrow’s answer engines. All while avoiding rising per-seat SaaS costs and vendor data exposure.

For brokers and MLS executives who are still asking where to start with AI, this interview offers a clear blueprint:

• Start with knowledge and compliance.
• Move into marketing and agent identity.
• Prepare for AI-driven discovery.
• Build systems that integrate with how your people already work.

Most importantly, treat AI as infrastructure you own, not a subscription you rent.

WAV Group Technologies led by Victor Lund and David Gumpper supported Seven Gables in the strategy and implementation of their AI.

You can watch the full video interview with Ryan Hildebrant and Michael R. Hickman below. If you want to see what production-grade brokerage AI actually looks like today, this is one you should watch.

The post How Seven Gables Built Real AI in Production and Why Brokers Should Watch Closely appeared first on WAV Group Consulting.

Here’s the difference: internal research teams at portals tend to see the world through their own product lens that is zoomed in a little too closely. Outside firms without real estate experience don’t know the right questions to ask or how to dig in with follow up questions that inform better product decisions. WAV Group lives in the middle ground, close enough to understand how real estate works but objective enough to see how consumers actually behave.

The Manvel moment

This week, Marilyn was testing property search tools with consumers in Manvel, Texas. This morning, I opened my email and found a saved search from Redfin for, you guessed it, Manvel. I hadn’t searched for it. Redfin had quietly connected the dots: my IP address, my household, and my wife’s session. (Good thing my wife is not planning to secretly move out). 

It’s not the first time this has happened. I’ve walked through open houses and then, within hours, received saved searches from Zillow or another portal. I spend a lot of time searching in NYC, Western New York, St. Petersburg, and Arroyo Grande. Somewhere in the background, these companies are linking behaviors across devices, addresses, and people, turning casual curiosity into measurable intent. Out of the blue I get property emails because they think that I am shopping and not researching. 

The quiet power of consumer data

That’s the brilliance of today’s consumer portals. They’re not just hosting listings. They’re mapping the invisible web of relationships between search activity, open house visits, and household connections. Every data point feeds a feedback loop designed to increase engagement and generate leads.

Meanwhile, most brokerages are still treating their CRMs as static databases. If a past client starts touring homes again, the agent doesn’t know until it’s too late. Portals, on the other hand, know within hours.

What if brokers had the same visibility?

The technology exists today. Brokerages could license behavioral tracking and trigger-based marketing platforms that flag when a past client is browsing listings, scheduling tours, or requesting valuations. The difference is mindset. Portals view consumer data as a living signal system. Brokers often view it as a filing cabinet.

The question is whether the industry is comfortable with this level of insight. There’s a line between proactive service and digital surveillance. Consumers don’t always realize that when one family member searches online, another might be automatically enrolled in a drip campaign. It’s clever, and a little creepy.

The path forward

If brokerages want to compete, they’ll need to embrace the same behavioral intelligence that powers the portals but with stronger privacy commitments. Imagine a CRM that doesn’t just store names and numbers, but actively surfaces when those relationships start showing intent again.

Portals have already built that future. Brokers can too, if they’re willing to rethink what “relationship management” really means in a data-driven world.

If you are a brokerage who is looking to deploy this technology, reach out below. Let’s work on your strategy together. 

The post Brokers are so far behind the portals appeared first on WAV Group Consulting.

MIBOR has taken a bold step toward modernizing how real estate technology companies access listing data. In a new partnership announced today, MIBOR is now authorizing Lundy’s Finding Homes platform to operate directly from the Broker Public Portal’s RealAPI, a unified data access layer built by and for brokers and MLSs.

This marks a significant departure from the legacy model where vendors ingest and maintain separate copies of MLS data across dozens of markets. Instead, Lundy will rely on RealAPI’s search-as-a-service infrastructure, already ingesting, normalizing, and updating the MIBOR data feed in real time.

The Difference Matters

Most proptech companies spend a disproportionate amount of engineering time and money rebuilding the same infrastructure for every MLS they integrate with: different schemas, field names, refresh rates, compliance rules, and support procedures. That inefficiency not only slows innovation, it drains budgets that could be spent building customer-facing features.

By authorizing RealAPI access, MIBOR is eliminating redundant engineering and placing itself at the forefront of MLS innovation. This gives Lundy and other vendors the ability to scale faster, cut costs, and focus on delivering exceptional tools for agents and consumers.

From replication to real-time cooperation

The strategic shift is also a milestone for the Broker Public Portal’s mission. RealAPI isn’t just another data pipe. It’s a broker- and MLS-owned technology that offers a single access point, standardized schema, and a usage-based billing model that aligns incentives across the ecosystem.

As Shelley Specchio, CEO of MIBOR, explained, “We’re cutting out inefficiencies and ensuring our members see faster adoption of high-value features from vendors like Lundy.”

Lundy CEO Justin Lundy echoed the benefit: “This partnership lets us do what we do best, deliver intuitive AI and voice tools while relying on BPP’s RealAPI to power the MLS data layer. It’s a shift that accelerates innovation across the entire industry.”

An open invitation to other MLSs

Because RealAPI already houses and maintains normalized MIBOR data, other MLSs that are part of the Broker Public Portal can authorize access with minimal friction. The result: more choice for brokers, faster deployment for vendors, and stronger data governance for MLSs.

Dan Troup, CEO of the Broker Public Portal, put it simply: “We invite more Lundy customers and other apps to take advantage of this infrastructure.”

The bigger picture: digital sovereignty for MLSs and brokers

This announcement isn’t just about a new tech integration. It’s about reclaiming control over the data infrastructure that underpins the real estate industry. RealAPI represents digital sovereignty, a future where MLSs and brokers control how their data is accessed, who uses it, and what value is returned.

WAV Group sees this as a pivotal moment. With MIBOR leading the way, MLSs have a clear model for supporting innovation without surrendering control. And vendors like Lundy have a faster path to building great products.

Press release follows. 

Lundy Taps RealAPI from Broker Data to Power MIBOR Launch

Partnership Delivers Faster, Cheaper, Smarter MLS Integrations for Vendors and Brokers

Indianapolis, Ind. — Oct. 21, 2025 — Lundy Inc. (Lundy), and MIBOR Broker Listing Cooperative (MIBOR), today announced a groundbreaking partnership that will transform how real estate technology companies access MLS data. MIBOR will be authorizing the Broker Public Portal’s RealAPI to fuel Lundy’s Finding Homes platform.

Justin Lundy, CEO of Lundy, Inc. states, “This partnership lets us do what we do best, deliver natural, intuitive voice and AI tools for agents and consumers while relying on BPP’s Search-as-a-Service RealAPI to power the MLS data layer. What Dan Troup and his team at the Broker Public Portal have built for MLSs and brokers makes it possible to move faster, smarter, and with more confidence. It’s a shift that accelerates innovation across the entire industry.”

For decades, every technology vendor has been forced to replicate the same work: ingesting, storing, mapping, and maintaining disparate MLS feeds into a common format across MLS markets. This approach wastes time, slows innovation, and diverts dollars away from building the features that agents and consumers actually need. As an MLS owner of the Broker Public Portal, MIBOR is leveraging the RealAPI so vendors like Lundy can focus entirely on their core competencies. This new connection complements MIBOR’s existing data distribution channels, offering another secure and efficient pathway for innovation. 

“By enabling direct access through the RealAPI, we’re cutting out inefficiencies and ensuring our members see faster adoption of high-value features from vendors like Lundy, while continuing to support other trusted distribution partners like MLS Grid that keep our marketplace running efficiently”, says Shelley Specchio, MIBOR CEO.

In Lundy’s case, this means delivering cutting-edge voice and AI applications that provide agents and consumers the fastest, most accurate MLS search experience available. The Broker Public Portal is already ingesting and maintaining the MIBOR data and normalizing it to a single format for Lundy that can be used for other MLS markets. Thanks to MIBOR, existing and future Lundy Finding Homes customers can feed the application from the RealAPI, saving time and data management costs. Other MLSs may authorize Finding Homes through the RealAPI and provision data in minutes. 

“The Broker Public Portal is owned by MLSs and brokerages, and one of the key sovereign technologies available to our owners is the RealAPI from our BrokerData platform. For MIBOR, that means using RealAPI to deliver data as a service to Lundy, eliminating redundant engineering and replication while providing a better experience. We invite more Lundy customers and other apps to take advantage of this infrastructure,” explains Dan Troup, CEO of the Broker Public Portal. 

Benefits for Vendors

• Faster to Market: Products can scale into new MLS markets in minutes, not months, bringing the industry closer to the dream of “flipping a switch to turn on a product.”
• Lower Cost Structures: Shared RealAPI infrastructure eliminates duplicated ingestion and maintenance costs for each vendor.
• Focus on Core Competency: Vendors can spend resources on building the features that agents and consumers actually see, instead of rebuilding and managing data pipelines.
• Consistency Across Markets: One API spec, one schema, one query model. There is no need for Lundy or other connected MLS applications to retool for every MLS idiosyncrasy.

Benefits for MLSs & Associations

• Faster Innovation for Members: Vendors can deploy products more quickly, giving MLS subscribers earlier access to new tools and services.
• Higher ROI for Members: Instead of half the technology budget going to “plumbing,” every dollar flows toward richer features and better user experiences.
• Data Governance & Security: RealAPI provides a controlled, auditable distribution layer. Usage-based billing and API-mediated access discourage unauthorized data resale and give MLSs visibility into who is using the data, how often, and for what purpose.
• Revenue Alignment: Usage-based billing ties data access to actual value creation, creating an ongoing revenue stream for MLSs while ensuring data use complies with MLS rules.
• Scalable Standards: A unified search backbone reduces inconsistencies across markets, making MLS participation more valuable.
• Leveraging an Asset of the Brokers and the MLS: MIBOR is an owner of the Broker Public Portal along with other MLSs and brokers. By leveraging the RealAPI asset to feed partner applications like Lundy and others, they extend the value of their asset and maintain sovereignty over data management. 

About MIBOR Broker Listing Cooperative®

The Broker Listing Cooperative® (BLC®), central Indiana’s multiple listing service, is operated by the MIBOR Service Corporation, a wholly owned subsidiary of the MIBOR REALTOR® Association (MIBOR). Serving more than 10,000 real estate professionals, the BLC® powers an efficient and transparent marketplace through trusted data, advanced technology, and seamless distribution. Since 1912, MIBOR has advanced professionalism, innovation, and collaboration to empower members and strengthen the marketplace. Learn more at www.mibor.com.

About Lundy, Inc.

Lundy Inc. is a pioneer in voice-first technology, committed to transforming the real estate industry through inclusive, intuitive solutions. Our flagship products leverage Al and voice commands to make property discovery, transactions, and information accessible to everyone. Visit www.getlundy.io.

The post MIBOR and Lundy Break New Ground with RealAPI Integration appeared first on WAV Group Consulting.

For more than 20 years, I have been a student of MLS policy. Every year, there is a process where brokers, agents, lawyers, MLS executives, and technologists bring ideas for change to the National Association of REALTORS® MLS policy. These proposals undergo healthy debate and either result in a policy change or they do not. This deliberative approach has served the industry well, ensuring that changes are considered carefully and collectively.

Lessons from Past IDX Policy Debates

One memorable debate involved Realogy and other franchise organizations requesting a change to the IDX policy to allow an IDX search on their franchise brand websites. On the surface, it seemed reasonable. These franchise brands are connected to brokerages; so why not let them host IDX listings on a national brand site? The industry reviewed the request and ultimately said no. The process of debate allowed participants in the broker reciprocity program to discuss and decide, and not changing the policy was a deliberate choice. The primary reason was that franchise brands are not themselves brokers participating in the MLS, so allowing them an IDX feed would violate the principle that IDX sites must be under the control of a participating broker.

Franchise companies found work-arounds to this limitation. For example, REMAX.com devised a creative solution: when a consumer enters a search on remax.com, the site actually hands off the query to the local RE/MAX brokerage’s own IDX website for that area. The consumer might not realize it, but the search results are displayed on the local broker’s site (with a remax.com wrapper). This preserves compliance because the listing data ultimately appears under the control of a broker’s domain, not purely on the franchise’s central site.

Another debate centered on putting an IDX property search on Facebook. Industry policymakers carefully crafted language to allow this, with conditions. The broker or agent’s Facebook page had to clearly identify the brokerage/agent (in the page name or URL, e.g. facebook.com/victorlund for my page), display their branding and headshot, and the actual listing data had to be embedded in a way that Facebook itself couldn’t crawl or reuse (often via an iframe). In essence, even though Facebook is a third-party platform, the IDX display on a Facebook business page was considered under the broker’s control because the page is managed by the broker/agent and not by Facebook. The guiding principle in these cases was that the display of MLS listing data must remain under the control of a broker who participates in that MLS.

The ChatGPT Integration: A New Challenge to Broker Control

Fast forward to today’s controversy: Zillow’s new integration with OpenAI’s ChatGPT for listing search. I use the word integration because the system works by connecting a server that houses broker listing data (Zillow’s MCP server, in this context) to an application inside ChatGPT via OpenAI’s developer toolkit. Let’s unpack how this works and why it’s raising eyebrows in the MLS community.

When you open ChatGPT, you’re on the chat.openai.com domain – clearly not under the ownership and control of any real estate broker. Zillow did not even attempt to create a subdomain like chat.openai.com/zillow or a co-branded URL. The entire experience runs on ChatGPT’s domain. This fact alone raises a red flag. Historically, as noted, IDX policy has insisted that the website or page displaying IDX listings be under a broker’s control. The ChatGPT domain is obviously not controlled by Zillow (even if Zillow is providing the data to the ChatGPT app). By that simple litmus test, many MLSs could determine that Zillow’s new ChatGPT integration violates IDX rules, just as they would if, say, remax.com directly displayed another broker’s listings without routing through that broker’s site.

We have a recent precedent for comparison. Microsoft’s Bing (the search engine) experimented with a real estate search feature that pulled in property listings via APIs from Zillow, Realtor.com, and Redfin. The listings displayed on a Microsoft site (with links back to the brokers). The industry “flew off the handle” at this, because consumers were able to search and view MLS-sourced listings on a platform completely outside broker or MLS control (the Bing domain). Even though each listing result linked back to the listing broker or portal, the initial display on Bing was enough to trigger backlash. The key issue was the same: the domain where the search and initial results occurred was not under the participating broker’s control. Ultimately, that experiment was shut down or reworked due to industry pressure.

Zillow’s ChatGPT app presents a similar scenario. The search and results are happening on ChatGPT’s domain, not on a broker’s own website. By the same reasoning as the Bing case, MLS organizations could very well choose to revoke Zillow’s IDX feed access for violating display rules. If an MLS would not allow a franchise site or a search engine to host listing displays on their domain, why would it allow ChatGPT?

How ChatGPT Gets the Data: Indexing vs. Scraping

It’s worth understanding how ChatGPT is obtaining listing information even without Zillow’s official app. Under the hood, ChatGPT leverages Bing’s search index to retrieve information from the web. Bing’s search engine continuously crawls websites (like Zillow, Realtor.com, Redfin, and broker sites), indexing their content in a massive database. When ChatGPT is asked a real estate question (outside of the Zillow plugin), it can query Bing’s index and find relevant content from those indexed pages. Essentially, ChatGPT can scrape the needed details from a broker’s listing page via Bing’s cached data, and then answer the consumer’s question using that information. The consumer doesn’t realize it, but ChatGPT might be pulling data directly from an IDX listing on a broker’s site, without the consumer ever visiting that site or the broker having control over the display of that data in ChatGPT’s answer.

Many people have wondered how ChatGPT could possibly know about current real estate listings if it’s not directly connected to Zillow’s database. The answer: it piggybacks on Bing’s web indexing. ChatGPT itself isn’t crawling Zillow or MLS sites, but Bing did, and ChatGPT can ask Bing’s index for the info. In effect, Bing indexed the listings, and ChatGPT is using that index to produce responses. Neither Bing nor ChatGPT has a license to do this.

There’s an important distinction to make between indexing and scraping. When a search engine indexes your site, it’s generally allowed under fair use and with the site’s permission (sites can opt out via robots.txt, etc.). The search engine might show snippets and links, enticing users to click through to the source site. What ChatGPT is doing with Bing’s index goes a step further: it extracts and presents the full listing information directly in the conversation, so the user might never click through to the source. This starts to look like scraping – using the data in a new context outside the source site’s control or permission. This arguably violates the terms of service of the websites from which the data is taken. It could even run afoul of laws like the Computer Fraud and Abuse Act (CFAA), DCA, the Federal Trade Commission Act (FTCA) provisions on unfair/deceptive practices, and the Stored Communications Act, especially if the data usage is unauthorized or misrepresents the source. The legality is a gray area, to say the least, and it underscores how uneasy this type of data use might make the industry.

Using Zillow’s App in ChatGPT: Who Controls the Experience?

Now, setting aside the broader web-scraping issue, let’s focus on what happens when a consumer actually uses the Zillow app within ChatGPT,  effectively the officially ChatGPT sanctioned route that Zillow has introduced. To activate the Zillow plugin, the user must first be logged in to ChatGPT (with an OpenAI account). At no point are they required to log into a Zillow account or even visit Zillow’s website directly. The entire interaction starts and stays within ChatGPT’s interface. From the consumer’s perspective, they’re using ChatGPT (just as they might use AOL, Bing, Google, or any other online service) and simply invoking Zillow as a tool inside that environment. No reasonable consumer would think that by logging into ChatGPT, they have somehow logged into Zillow or an MLS site. In my opinion, it’s an entirely distinct application from the consumer point of view.

Once logged into ChatGPT, the user adds or enables the Zillow app and then types a query (for example: “Zillow, show me homes for sale in Seattle under $800k”). What’s happening behind the scenes is that ChatGPT interprets this prompt, recognizes that it needs Zillow’s data, and then calls the Zillow MCP listing server for results. The response is then displayed within the ChatGPT interface as a Zillow-styled output (complete with listing details, photos, and attributions as per IDX rules). Visually, it might appear as if Zillow’s website is embedded in the ChatGPT window. However, crucially, the content is still being delivered through the ChatGPT application. The URL in the browser remains chat.openai.com/…, not zillow.com. In other words, ChatGPT is acting as a third party middleman, fetching data from Zillow’s servers and displaying it on ChatGPT’s domain. Today’s IDX policy specifically rejects third party handling of data.

Zillow might argue that when a user invokes the Zillow app on ChatGPT, it’s analogous to a consumer using a web browser to go to Zillow.com, essentially just another method of accessing Zillow’s services. But I would argue this is a stretch. ChatGPT is not a general web browser; it’s a conversational AI platform. The experience of using Zillow via ChatGPT is fundamentally different from navigating to zillow.com in Chrome or Safari. 

IDX policy was written long before such AI platforms existed, so we are in uncharted territory, but we can draw analogies. To my mind, using Zillow through ChatGPT is not the same as a consumer going directly to Zillow’s website under the broker’s control. As an analogy, going to a franchise’s national site (e.g. ERA.com) is not the same as going to an individual broker’s site (e.g. HuntRealEstate.com). The context and control are different.

An Exclusive Deal: Is It Fair?

It’s also important to note the exclusivity of this arrangement. As of now, you can only invoke Zillow in ChatGPT for real estate search. There is no equivalent plugin for other brokerages like Compass, eXp Realty, Redfin, or any independent broker. Zillow and OpenAI (ChatGPT’s creator) have essentially struck a deal to make Zillow the first (and for now, the only) real estate search tool on the platform. It brings to mind other deals OpenAI has made. For example, ChatGPT reportedly pays Reddit around $70 million per year in a multi-year licensing arrangement for Reddit’s data. We don’t know the terms of the Zillow-OpenAI arrangement. Does Zillow pay for the privilege to be the exclusive real estate app, or does OpenAI pay Zillow for access to the data? The details haven’t been disclosed publicly.

What we do know is that this exclusivity won’t last forever. OpenAI has introduced an Apps SDK for ChatGPT, and presumably more apps and connectors will be coming. In fact, I spoke with a technology vendor in the real estate space (one that powers around 600,000 IDX websites and an equal number of mobile apps for brokers and agents). They could build a ChatGPT integration just like Zillow’s with relative ease using OpenAI’s toolkit. The only thing stopping them right now is that OpenAI’s ChatGPT Apps platform is in a limited preview. Zillow got in early, and others have to wait. (Perhaps this exclusivity or head-start lasts until December, if rumors are to be believed.) From an industry fairness perspective, it’s problematic that one giant broker/portal gets a first-mover advantage in this new AI-driven channel, while others are effectively locked out in the near term.

For those interested in the technical side of how the ChatGPT Apps work, OpenAI’s announcement provides some insight. Read OpenAI’s introduction to ChatGPT Apps for an overview of how developers can connect external services like Zillow to ChatGPT.

“Reasoning” with the MCP Server vs. Traditional API Calls

There’s another technical nuance here: the nature of ChatGPT’s interaction with Zillow’s data is through “reasoning” rather than a straightforward API call. Traditional APIs (such as the RESO Web API commonly used in real estate) are rigid and explicit. You ask for specific data with specific parameters, and you get a response. The ChatGPT-Zillow integration is built differently. When a user asks a complex question, ChatGPT doesn’t just fill in fields on an API call; instead, it engages in a kind of dialogue with Zillow’s MCP server. The MCP (Model Context Protocol) server is designed to allow an AI agent to interact with the data in a more flexible, goal-oriented way.

In simple terms, the AI “agent” (ChatGPT) is interpreting the user’s intent and then dynamically deciding how to fulfill that request using the tools and data Zillow has exposed. It’s not blindly calling a single endpoint; it might reason, apply filters, refine queries, and use multiple steps to get to the answer the user wants. This is a new frontier: two machines collaborating, with the AI agent orchestrating a sequence of actions. The result is a more natural, conversational search experience for the user, but it’s also a more complex and less transparent interaction than a typical API call.

Zillow, presumably, has put guardrails on what the ChatGPT agent can do through its MCP server. They might restrict certain data fields from ever being accessible (to comply with MLS rules), and they likely audit the interactions. We have to trust Zillow’s implementation, because no MLS or third-party is overseeing those technical details in real time. Zillow claims that the app is IDX-compliant and that they have full control over what data is served (more on their specific claims in a moment). We can hope that Zillow’s guardrails are robust and aligned with industry rules and norms. But it’s worth noting that this entire AI-driven interaction model is outside the direct supervision of any MLS. MLSs provide IDX feeds under certain rules, but they haven’t historically had to think about an AI reasoning agent pulling data in a conversational context.

IDX Reciprocity and the Spirit of Fair Play

Stepping back, let’s recall why IDX exists at all. Broker reciprocity (IDX) is fundamentally about brokers cooperating and sharing listing exposure. As my friend Lennox Scott (an early proponent of IDX policy) has explained, the exchange of value is simple: “I’ll let my listings appear on your website, and in exchange, you let your listings appear on mine.”It’s a mutual, fair deal that increases exposure for all listings and provides consumers a more comprehensive search experience, regardless of which broker’s site they use. Crucially, though, this deal assumes a level playing field with each participating broker that abides by the same rules and has the same opportunity to display each other’s listings on an equal footing.

When I look at the Zillow-ChatGPT integration, I have serious concerns through this lens of fairness and reciprocity. In my view, this integration is one broker (Zillow) taking IDX data into a new channel that no other broker currently has access to, and doing so in a way that skirts the established rules (like the domain control issue). The brokers who contribute their listings to the MLS never specifically consented to having their listings show up via an AI chatbot on OpenAI’s domain. They consented to IDX displays by other brokers under the IDX policy framework, which did not contemplate something like ChatGPT.

To me, this feels like Zillow is pushing the boundaries of IDX reciprocity to the breaking point. Yes, Zillow is a broker and an MLS participant, so it has the right to display other brokers’ listings on its own website or apps under IDX. But is a ChatGPT app an extension of Zillow’s website/app, or is it an entirely new, third-party platform display? Reasonable people can disagree, which is why this is such an important debate to be having. I have chosen to side with the brokers and MLS leaders who view this as a step too far. In fact, some have even labeled it a “bridge too far.” It just doesn’t feel like the fair, mutual exchange of the original IDX spirit.

I suspect we will see a rapid proliferation of similar integrations soon. In the coming weeks and months, we could see real estate apps on Anthropic’s Claude, on Perplexity.ai, on Microsoft’s Copilot, on Google’s upcoming Gemini, on IBM’s Watson, and on countless other AI platforms. The idea of conversational search for homes is out of the bag, and many tech providers and brokers will want to deploy their own solutions. Today, our industry lacks a clear framework or guidelines for MLSs to approve or deny such AI-based IDX displays. We are, in effect, operating in a policy vacuum. In an article I wrote on October 7, 2025, titled “Zillow Seeks Forgiveness, Not Permission: MLSs Must Enforce Cooperation in the AI Era”, I argued that Zillow went ahead with this ChatGPT app without broad industry permission, betting that it’s easier to ask forgiveness afterward than to get permission beforehand. I called on MLSs to step up and enforce the traditional cooperation principles in this new AI context.

I’m not persuaded by the argument some have made that “ChatGPT (or a similar AI) is just like a search engine or an operating system, so it shouldn’t be regulated by IDX rules.” In my opinion, that’s a flawed analogy. ChatGPT is neither just a search engine nor just an OS; it’s a new type of platform. We shouldn’t let unfamiliarity or technicality prevent us from applying the same core principles of fairness and broker control. The real estate industry, through its collective process, should deliberate and update policies to address this new breed of technology. Until that happens, Zillow could easily pause the ChatGPT integration (i.e. turn off OpenAI’s access to its MCP server) while the industry sorts out the rules collectively. That would be the cooperative thing to do.

Zillow’s Response and My Rebuttal

It didn’t take long for Zillow to respond to the concerns raised by myself and others. In the wake of my initial article and others’ commentary, Zillow’s industry relations team went into action, reaching out to stakeholders and publishing a public defense of their ChatGPT app. They released an article on Zillow Group’s website titled “How Zillow’s App in ChatGPT expands listing reach and protects industry rules”. In it, Zillow makes a few key assertions:

“Zillow is not sending OpenAI a feed of MLS data.”

Zillow emphasizes that they are not directly handing over MLS data to OpenAI. Instead, as they explain, OpenAI’s system sends a request to Zillow for information when a user prompts Zillow in ChatGPT, and Zillow sends back the results which are then displayed within ChatGPT. From a purely technical standpoint, this is accurate. Zillow isn’t giving OpenAI an ongoing data feed. However, to many of us, this is a distinction without a difference. Whether the data is pushed or pulled, the end result is that MLS listing information is being displayed on a non-broker controlled domain. The consumer doesn’t know or care about the technicalities; they’re seeing listings via ChatGPT. In other words, it doesn’t matter who “picks up” the data: the outcome (listings showing on ChatGPT) is the same.

“Zillow worked directly with OpenAI to ensure this experience was built with the industry’s rules and safeguards at its core.”

Zillow claims it took care to build the ChatGPT app in compliance with industry rules (IDX policies, etc.), and that it has full control over the app’s experience. The question I have is: under what authority is Zillow interpreting and enforcing “the industry’s rules”? Typically, MLS rules are enforced by the MLS themselves, not unilaterally by one broker’s interpretation. Zillow having “100% control” over the experience (as they tout) is precisely the concern: it means no outside oversight. We are essentially being asked to trust Zillow’s word that everything is compliant. This is not how industry safeguards usually work. Compliance is usually verified by the MLSs and brokers collectively, not just asserted by one participant.

“We worked closely with industry stakeholders to ensure that this experience complies with MLS data standards…”

This statement raises more questions than it answers. Who are these “industry stakeholders” that Zillow worked with? Were MLS executives involved, and if so, which ones? Were brokers consulted beyond Zillow’s own team? From my vantage point, no MLS committees or broader broker forums publicly discussed this integration beforehand. If some stakeholders gave input, it feels like it happened in a back room. The lack of transparency around who blessed this integration (and by what authority) is exactly why many in the industry are uncomfortable. It gives the appearance that Zillow made a deal or got an approval from a select few, and now presents it as “complying with MLS standards.” But compliance is usually determined by collective agreement and explicit policy, not by private assurances.

In short, Zillow’s carefully worded response hasn’t convinced me (or many others) that this ChatGPT integration truly respects the letter and spirit of IDX rules. It comes down to whether we believe this is just an “extension of Zillow’s website” (as Zillow portrays it) or a fundamentally new type of third-party display that needs its own policy vetting.

A Better Path Forward: MLS-Controlled MCP Servers

I believe there is a better way to embrace this new AI technology without sacrificing the principles of broker reciprocity and MLS oversight. The solution I advocate is for MLS organizations themselves to deploy and control the MCP servers that interface with generative AI platforms. In other words, instead of Zillow (or any single broker) being the gatekeeper of MLS data in the AI world, the MLS would operate the gateway for AI access to listings leveraging the fair display guidelines. This could ensure that all brokers have equal opportunity to leverage AI channels, under rules that are set collectively by the MLS membership.

I wrote a paper on this topic back in July, titled “Why Every MLS Needs to Understand MCP Servers Before Someone Else Builds One Without You”. The core idea is that if the industry doesn’t proactively build the infrastructure for AI (like MCP servers managed by MLSs or broker cooperatives), then a large player (like Zillow, or others in the future) will do it unilaterally and potentially consolidate even more power in the process. If MLSs provide a standardized, policy-compliant way for AI systems to query listing data (with proper guardrails), then any broker or authorized app can use it and we maintain a level playing field and oversight. It would uphold the spirit of IDX reciprocity by keeping the MLS in the driver’s seat of how listings are used in emerging technologies.

Conclusion: Choose a Side or Wait and See?

Zillow’s move to integrate with ChatGPT has, without question, gotten a jump on the rest of the real estate industry. It’s a bold play that tests the boundaries of current policy. Now the industry has a choice in how to respond. Will MLSs and brokers simply wait and see, effectively allowing this precedent to stand? Will they push back and say “No, this isn’t allowed under our rules” and force changes or the shutdown of such integrations? Or will they say “OK” and perhaps hurriedly adapt the rules to formally permit this kind of app (maybe with additional conditions)?

As for me, I’ve made my stance clear. I stand beside the brokers, MLS executives, and others who view Zillow’s ChatGPT integration as a bridge too far under the existing IDX framework. I believe in the IDX principles of fairness, mutual benefit, and broker control over their data’s presentation. Those principles have served our industry well for decades of internet disruption, and they should not be abandoned just because the technology has taken another leap forward. We can embrace innovation like AI in home search and still uphold cooperation and fairness. But it requires deliberate action from industry leaders, not just one big player forging ahead alone.

In this debate, I’ve picked my side. Now the question is, how will the rest of the industry respond?

The post The Zillow ChatGPT Integration of IDX Data: A Test of Opinion appeared first on WAV Group Consulting.

AccountTECH, best known for its darwin.Cloud platform, delivers a secure hub for brokerage accounting, commission plan management, transaction processing, and reporting. The system integrates with MLS and transaction data, allowing brokerages to automate financial workflows and gain analytics that help improve profitability.

Why this matters for brokerages

For years, brokers have struggled with fragmented systems for commission management and financial reporting. darwin.Cloud brings these processes together under one roof – from transaction intake through accounting and agent management. This saves time for back-office teams, reduces the risk of error, and provides a clear picture of how the business is performing.

Jim Psyhogios, LeadingRE’s Vice President of strategic engagement, underscored the importance of operational efficiency: “Brokerage profitability depends on efficiency in transaction processing and financial operations, and AccountTECH’s darwin.Cloud is a back-office solution that prioritizes efficiency, while placing your business at the center of everything they do.”

AccountTECH’s footprint today

• Not a replacement for Lone Wolf: Some may wonder if AccountTECH is displacing the partnership that LeadingRE has with Lone Wolf – another leading back-office platform. LeadingRE confirmed that this is not the case.
• Adoption within the network: Nine LeadingRE firms already use AccountTECH, with another five in the pipeline.
• MLS integration: AccountTECH connects with more than 200 MLSs across the U.S. and Northeast Canada, giving brokers wide data coverage.
• APIs for brokers: The company offers an open API, which allows brokerages to integrate their financial data with other systems or their AI platforms (API documentation here). This is very important for brokerages that have (or are building) AI platforms for customer and transaction automation. WAV Group has not done an AccountTech integration – but the availability of the API is promising. 

International outlook

Although AccountTECH’s software is currently in use only in the U.S. and Canada, the company maintains multilingual staff in Peru and the Philippines. Expansion into other global markets could come in 2026, depending on demand and development priorities.

Voices from AccountTECH

Mark Blagden, founder and CEO of AccountTECH, shared his perspective on joining the Solutions Group: “Their network of companies includes some of the largest, most successful, and most productive real estate brokerages in the country. They care deeply for their members, and their commitment to giving them access to the best business solutions is evident. We are honored they believe AccountTECH is one of those solutions.”

WAV Group perspective

Brokerages today need to run leaner and smarter. Every hour saved in back-office operations contributes directly to margin, and every piece of accurate data empowers leadership to make better decisions. With the addition of AccountTECH, LeadingRE firms gain access to a solution that simplifies complexity while opening the door for advanced analytics and AI integrations.

The post LeadingRE brings AccountTECH into its Solutions Group appeared first on WAV Group Consulting.

The creation of broker-branded dashboards are one of the clearest opportunities for MLSs to add value. These portals would allow agents to access all their MLS and brokerage tools in one unified place, under the broker’s brand and structure.

Download WAV Group Brokerage Utilization and Access Study Part 2

Nearly two-thirds of brokers in the WAV Group study said they want a single dashboard that combines MLS and brokerage technologies. They’re asking for simplicity and clarity. And many are frustrated that agents must jump between multiple systems to complete even basic tasks. The current fragmented approach not only hurts efficiency, but it also erodes the value proposition of both the MLS and the brokerage.

From the broker’s perspective, it’s not just about tool access. A unified dashboard can also become the central hub for communication. Right now, most brokers still rely on email to notify agents about trainings, updates, and company wins, but the effectiveness of that approach is dropping. Worse yet, internal company messages often get buried beneath client correspondence and marketing emails.

By contrast, an MLS-hosted, broker-branded dashboard creates a space where agents naturally go every day. It’s where they search listings, access transaction tools, or generate CMAs. Adding broker content into that same environment gives those messages and technologies much higher visibility and engagement. It also gives brokers a more consistent and modern way to stay top-of-mind with their agents.

From the MLS side, this is a chance to move beyond simply providing access to data. It’s a way to foster deeper collaboration with brokers, reinforce MLS value, and build goodwill across your subscriber base. And in a world where brokers are often managing participation across multiple MLSs, those partnerships matter more than ever.

Download WAV Group Brokerage Utilization and Access Study Part 2

Brokers aren’t asking MLSs to build everything from scratch. In many cases, they just want the ability to configure an agent experience that makes sense for their business. That might include branded logins, curated tool tiles, space for company videos or event reminders, and support for tracking agent engagement across systems. Many brokers we’ve spoken to like the dashboards MLSs are already offering, but they would like the ability to add broker tech offerings alongside MLS offerings.

Some progressive MLSs are already offering this type of capability, and the response has been strong. When agents see their brokerage identity reflected in their daily workspace, it reinforces culture and cohesion. And when they can access everything in one place, their productivity and satisfaction improves.

This isn’t just a nice-to-have. It’s a competitive advantage for MLSs and the brokerages they serve.

Brokers are juggling multiple tools, multiple logins, and 75% of the respondents belong to multiple MLSs. A dashboard that brings everything together can reduce confusion, improve adoption, and deliver a better overall agent experience. For MLSs that want to strengthen relationships and deliver more value, supporting these dashboards is a direct and meaningful step forward.

With the removal of compensation, MLSs need to find ways to create tangible value for their brokerages. After all, it is the brokerages that bring MLSs their customers. Enabling a better user experience through broker-branded dashboards is one terrific way for MLSs to step it up to demonstrate they care about the success of their customers. 

Download WAV Group Brokerage Utilization and Access Study Part 2

Missed WAV Group Brokerage Utilization and Access Study Part 1? Click here to download it now

The post How MLSs Can Deepen Broker Partnerships with Broker-Branded Dashboards appeared first on WAV Group Consulting.

Brokers operating in multiple MLS have an avalanche of complications they have to deal with – Slight market by market variances in Rules and Regs, redundant fees, patchwork quilt of data, Duplicate/triplicate data entry, and market specific tech tools.  Operating in multiple MLS increases the complexity of running a brokerage and can take a bit out of the already razor thin broker margins. 

Agents that operate in multiple MLS markets have an even tougher time than normal keeping track of the best ways to use different flavors of MLS, public records, transaction management and showing software. Today, many MLS have their own login portal, transaction management system, listing entry process, and support structure. Agents are forced to learn multiple versions of similar tools, often with slight differences in data fields and requirements. And this complicated collection of technologies can make it even harder for brokers to get their agent’s attention to adopt the brokerage’s tech stack.  

Download WAV Group Brokerage Utilization and Access Study Part 2

For brokers, the cost is both financial and strategic. Beyond paying multiple access fees, they’re also investing in duplicative training, support, and technology infrastructure just to maintain a consistent experience across markets. Worse still, the data their agents need is split between systems that don’t always talk to each other.

This level of fragmentation makes it extremely difficult to deliver a unified technology experience, promote consistent branding, or gather meaningful analytics across the business. It also limits a broker’s ability to identify which tools are performing best because performance often varies depending on MLS participation, not just agent behavior.

Brokers are calling for better cooperation across MLSs, smarter regional integrations, and consolidation. All these efforts are easier said than done. Some take years to accomplish, if at all. In the meantime, there may be one important step MLSs can take to simplify technology adoption, and usage. 

In the WAV Group study, nearly 2/3 of brokers expressed interested in a dashboard where agents can access broker AND MLS technologies all in one place. 

One of the most promising short-term solutions is the creation of centralized dashboards that span multiple MLS organizations.  What if an agent can log-in to a broker-branded portal and access brokerage and technologies multiple MLS organizations in one centralized spot?  This concept can give brokers a common layer of control over branding, access, and communication, even if the underlying MLS platforms remain separate. It’s not a replacement for broader consolidation efforts, but it’s a practical step that can help bridge the usability gap today.

Download WAV Group Brokerage Utilization and Access Study Part 2

Logically it just doesn’t make sense to require 75% of brokers to belong to more than one MLS and it really does make sense to require some brokerages to pay for 10 MLS subscriptions and ten IDX feeds 10 times just to do business. It is equally as unreasonable to expect agents to work productively when the data and technologies they need to support their clients is fragmented, and confusing. The current reality is simply unsustainable.

The future of real estate depends on more fluid collaboration. Brokers, MLSs, and technology vendors need to come together to reduce redundancy and create systems that support, not make it cost prohibitive for brokers to operate in multiple markets.

Download WAV Group Brokerage Utilization and Access Study Part 2

Missed WAV Group Brokerage Utilization and Access Study Part 1? Click here to download it now

The post One Brokerage, Ten MLSs, Why not a Multi-MLS centralized Dashboard? appeared first on WAV Group Consulting.

Without clear visibility into an agent’s goals, activity, and results, sales managers are flying blind. Their conversations with agents often happen after a slow month, a missed target, or a warning sign that was not visible until it was too late. Brokers are asking for a better way to keep those critical success metrics in front of everyone to effectively support agents weekly about how they are performing against the goals they set for themselves in their business plans. 

That’s where a centralized, agent-facing dashboard can make all the difference.

Download the full WAV Group Broker Technology Utilization and Access Study

Imagine if every agent has access to a broker-branded portal they can log into daily, not just to use tools, but to stay grounded in their goals. Within this workspace, they can see their business plan side-by-side with their actual performance. This daily visual reminder is powerful. It doesn’t just highlight what’s been done. It brings focus to what needs to happen next. Brokers can promote training that supports agents in the areas that may be holding them back from achieving their goals. Managers can work one-on-one to help their agents to smooth out the rough edges in their sales process. 

The WAV Group study showed strong broker interest in dashboards that go beyond tool access. Brokers want to create a digital space where performance can be tracked, activity can be celebrated, and agents can be held accountable to the goals they set for themselves. When dashboards are designed thoughtfully, they become a virtual coach, not just a static tool hub.

Get the complete report and see what other brokers are prioritizing

Sales managers benefit, too. With a shared performance view, they can spot patterns faster. An agent’s listing pipeline might be thin. Their funnel activity might have dropped off. Or they may be close to a commission award threshold that could be used to motivate just one more deal this month. These are the types of insights that lead to meaningful, real-time coaching. No spreadsheets required.

Beyond tracking business goals, dashboards can also surface key productivity markers like outstanding tasks, missing transaction documents, or an outstanding client follow-up task. Since agents have limited time and a dozen plates spinning regularly, having all of that presented in one place can make all the difference.

The WAV Group study also showed that brokers want to use dashboards as a place to celebrate success and reinforce the behaviors that lead to results. Features like “kudos” for consistent usage of certain tools or shoutouts for hitting prospecting milestones give agents the recognition they need to stay motivated. It’s not just about data. It’s about momentum.

Importantly, this kind of dashboard isn’t about policing performance. It’s about providing structure, encouragement and visibility that help agents grow and thrive. With the right tone and design, a dashboard can become something agents tune into regularly. 

Right now, most brokerages are still communicating key reminders and performance updates via email or occasional check-ins. But email is losing effectiveness, and manager bandwidth is stretched thin. A dashboard that agents log into every day can pick up the slack, making sure important messages and insights are actually seen.

For brokers looking to increase agent retention and productivity, this is a win-win. Managers get the tools to lead more effectively. Agents stay aligned with their business plans. And the brokerage creates a stronger culture of coaching and progress.

If you want your sales managers to have better conversations, give them better data. If you want your agents to hit their goals, make sure they can see their progress daily. A smart dashboard bridges the gap.

 Download the full WAV Group Broker Technology Utilization and Access Study

Missed WAV Group Brokerage Utilization and Access Study Part 1? Click here to download it now

The post Boost Agent Performance with a Dashboard That Enables Regular Sales Coaching appeared first on WAV Group Consulting.

In May of this year I met with 52 brokers representing over 20,000 agents through the Future of Real Estate (FORE) Group. During one of the sessions, I was paired with Marcus Green, a Keller Williams broker based in Utah. What followed was one of the most practical and impressive showcases of brokerage-level AI that I’ve seen to date.

Marcus and Shoney Ivens, CEO KW Westfield, aren’t talking about AI – they’re using it. And not in some abstract, gimmicky way. They’ve built a real system that improves operations, reduces costs, and scales knowledge across their organization. It’s all running on Notion, customized to their brokerage, and trained on their own content.

Their applications cover everything from recruiting and onboarding to legal compliance. One standout example: a “Legal AI” trained on state laws, MLS rules, association policies, and internal brokerage procedures. It now handles common agent questions that used to clog up staff time. That’s just one of many tools they’ve built in-house.

What is Tier 2 AI and why does it matter?

At WAV Group, we recently released a white paper called The Three Tiers of AI. Most brokerages are still operating at Tier 1 – individual experimentation. You’re paying $20-$30/month for ChatGPT or another tool and starting to understand what’s possible. That’s a good start.

Tier 2 is where it gets operational. This is what AI developers call RAG, or Retrieval-Augmented Generation. Instead of pulling answers from the open web, RAG models reference your documents – your playbooks, policies, workflows, and templates. It’s what Marcus and Shoney are doing with Notion. The AI pulls from a private library of your brokerage’s knowledge and delivers consistent, actionable responses to your team.

They’ve also built out a prompt library – templated questions and answers that cover everything from “how do I onboard a new agent?” to “what’s our listing process?” It’s like having a 24/7 training director who never forgets a detail.

Why brokers should care

This isn’t about chasing shiny tech. It’s about profitability, process, and positioning.

• Lower SaaS costs – Replace multiple point solutions with one AI that does more.
• Better onboarding – Deliver consistent training and support from day one.
• Stronger recruiting pitch – Show agents you’re leading the market on AI adoption.
• Operational excellence – Reduce the burden on staff, increase compliance, and make processes repeatable.

You don’t need a team of engineers to build this. If you’ve got your onboarding steps written down, your listing intake checklist, your brand standards – we can turn those into a working Tier 2 AI for your brokerage in a few days. No hype. Just real productivity gains.

Let’s get started

Watch the video. Then download The Three Tiers of AI white paper. It’s currently free, and it’ll give you a framework for how to approach this – whether you’re a small team or a national firm.

If you want help setting up your Tier 2 AI environment, call us. We’ll show you exactly how to do it.

The post Utah’s largest Keller Williams brokerage just shared how they’re using AI – and it’s working appeared first on WAV Group Consulting.

When Multiple Listing Services (MLSs) were first conceived, their mission was elegantly simple: to create a neutral marketplace where competing brokerages could share property listings for the benefit of buyers and sellers. This cooperative spirit transformed real estate from a fragmented, inefficient market into the interconnected system we know today.

But according to HomeServices of America CEO Chris Kelly, that original mission has been compromised. “The listing platforms have not been neutral actors in this evolution. Shifting standards and closed-door policy decisions have created understandable concern among brokerages,” Kelly recently wrote in an op-ed for Inman News.

This sentiment reflects a growing tension within the real estate industry: MLSs have evolved from simple listing repositories into technology powerhouses that increasingly compete with the very brokerages they were designed to serve.

Generated by ChatGPT (DALL·E)

The Great Expansion: From Listings to Everything Else

Today’s MLSs bear little resemblance to their cooperative origins. What began as basic listing databases have morphed into comprehensive technology platforms offering everything from CRM systems to lead generation tools—services that directly compete with brokerages’ core business functions.

The transformation raises fundamental questions about neutrality and purpose. When an MLS develops technology solutions that compete with its member brokerages, can it truly remain an impartial facilitator? When it distributes listings to referral-only platforms that don’t represent actual buyers and sellers, does it serve the market’s best interests?

Perhaps most concerning for brokerages is the financial dimension. MLSs have leveraged their monopolistic position to charge premium fees for services – amassing substantial reserves while brokerages struggle with thin margins. These funds often flow to subsidize Realtor Associations, further blurring the lines between supposedly neutral market infrastructure and advocacy organizations.

The Data Dilemma: Profiting from Broker-Generated Content

One of the most contentious issues involves data licensing. MLSs routinely license listing data to capital markets and third-party platforms, generating significant revenue streams. Yet the listing brokers who create this valuable content—through photography, descriptions, and market intelligence—see none of these proceeds.

This arrangement would be questionable in any industry, but it’s particularly problematic in real estate, where listings represent brokers’ primary marketing assets. Imagine a newspaper selling its journalists’ articles to competitors without sharing the revenue, or a shopping mall monetizing a retailer’s product listings without compensation.

The practice raises questions about who truly owns listing data and whether MLSs should profit from content they don’t create.

The Neutrality Question: Leveling Whose Playing Field?

MLSs often justify their expanded role by invoking the need to “level the playing field.” But level for whom? When MLSs develop technology tools, they’re not leveling the field between brokerages—they’re creating new competitors while maintaining their privileged position as the sole source of listing data.

Kelly noted that MLS meetings “used to be all about local discussions” but “these conversations have really turned national in scale,” reflecting how these supposedly local, cooperative organizations now wield industry-wide influence over how brokerages can operate their businesses.

This shift represents what many brokerages see as “a bridge too far”—MLSs are no longer neutral facilitators but active participants shaping competitive dynamics in ways that may not serve brokers or consumers.

A Radical Solution: Back to Basics

The frustration has led some industry leaders to propose dramatic solutions. The most radical: eliminate IDX (Internet Data Exchange) entirely. Under this scenario, brokers would only advertise their own listings on their websites, while the comprehensive MLS compilation would remain exclusively available to consumers working with licensed agents who are subscribers to the MLS under a buyer broker agreement.

Such a change would fundamentally alter real estate marketing, forcing consumers to work directly with agents to access complete market information. While this might seem regressive in our digital age, proponents argue it would restore the proper role of professional representation while eliminating MLSs’ ability to commoditize listing data.

A less dramatic but still significant reform would restrict MLSs to their core functions: maintaining the listing database and providing tax/property information. This “MLS plus tax solution” approach would eliminate competitive conflicts while preserving the cooperative benefits that made MLSs valuable in the first place.

The Technology Paradox

The irony is that technology—which MLSs cite as justification for their expansion—could actually enable a return to more focused roles. Modern APIs and data standards make it easier than ever for specialized companies to provide technology solutions while MLSs maintain listing databases.

Rather than trying to be all things to all people, MLSs could focus on what they do best: maintaining accurate, comprehensive property databases with reliable uptime and robust security. Brokerages could then choose from competitive technology providers for CRM, lead generation, and other business tools.

Generated by ChatGPT (DALL·E) | Image ID

The Path Forward: Cooperation Without Competition

The real estate industry’s cooperative foundation remains one of its greatest strengths. Unlike other sectors where incumbents typically resist sharing information, real estate has thrived precisely because competitors agreed to share listings for mutual benefit.

But cooperation shouldn’t mean capitulation. As Kelly’s comments suggest, the industry needs an honest conversation about MLSs’ proper role in the modern real estate ecosystem. Should they remain neutral facilitators, or should they continue evolving into comprehensive technology platforms that compete with their own members?

The answer may determine whether real estate maintains its cooperative spirit or fragments into competing data silos—each controlled by technology companies with little stake in the industry’s long-term health.

For brokerages, the stakes couldn’t be higher. Their listings represent their primary marketing assets, their technology needs are increasingly sophisticated, and their profit margins remain under constant pressure. The last thing they need is competition from the very organizations they fund to facilitate cooperation.

The solution isn’t to abandon MLSs but to restore their original mission: providing neutral, reliable infrastructure that serves all market participants equally. Whether the industry can achieve this reset—or whether MLSs will continue their mission drift—remains to be seen.

What’s certain is that the current trajectory isn’t sustainable.

When neutral facilitators become competitive threats, cooperation inevitably gives way to conflict.

And in that environment, everyone loses—brokers, MLSs, and ultimately, the consumers they all claim to serve.

The post The MLS Mission Drift: Why Brokerages Are Calling for a Return to Core Functions appeared first on WAV Group Consulting.