Homesearch unveils AI listing optimisation tool, HAILO

 In 2025, it’s not just about ranking on Google anymore—buyers and sellers are asking AI: “Who is the top real estate agent in Beverly Hills?” The question is… will your name show up? For years, agents have focused on SEO, social proof, and online reviews. Those are still very important—but the rise of AI-powered search (ChatGPT, Google AI Overviews, Perplexity, etc.) is rewriting the playbook. These platforms don’t just scan websites. They connect dots across the internet to identify who is credible, consistent, and authoritative. If AI can’t “see” you as the local expert, you risk being invisible—even if you’re the best in your market. Here are 5 advanced ways agents can become more AI-searchable beyond niche, reputation, and track record: 1️⃣ Structured Data (Schema Markup) Add RealEstateAgent schema to your website so AI knows exactly who you are, where you operate, and what you specialize in. 2️⃣ Entity Consistency Across Platforms Make sure your name, brokerage, and specialties match across Google Business Profile, Zillow, LinkedIn, Yelp, Realtor.com, and press mentions. AI relies on consistency to “trust” you. 3️⃣ Conversational Q&A Content Create pages and posts that directly answer queries like: “Who is the best luxury listing agent in Beverly Hills?” “Which agent specializes in off-market Beverly Hills homes?” The more natural the phrasing, the more AI can surface it. 4️⃣ Local SEO with AI in Mind Optimize your Google Business Profile posts, encourage reviews that mention “Beverly Hills,” and publish local guides and market updates tied to neighborhoods and data. 5️⃣ AI-Loved Content Formats Long-form guides, market reports, video transcripts, and even podcasts. AI scrapes and cites content that is data-rich, conversational, and widely linked. The next generation of referrals won’t just come from word of mouth—they’ll come from word of algorithm. Agents who adapt now will own the “AI recommendation space” in their farm area. The question is: are you building your AI footprint today so tomorrow’s clients can actually find you? If you’re curious about how to set this up, let’s connect—I’m always sharing new AI-driven real estate marketing strategies. #RealEstateMarketing #AIMarketing #RealEstate #FutureOfRealEstate #AIsearch #RealEstateTech

The way we search for homes just changed forever. Realtor.com just launched an AI-powered search tool that lets buyers type exactly what they want in plain English. No more clicking through endless filters. No more trying to translate your dream home into checkbox categories. Just type: "3-bedroom house with a big backyard near good schools under $400K" and get personalized results that actually match what you're looking for. This isn't just a tech upgrade—it's a complete shift in how consumers interact with real estate platforms. For years, we've forced buyers to think like databases: → Select price range → Choose number of bedrooms → Filter by square footage → Sort by location But that's not how people actually think about homes. They think in stories: "I want a cozy place where my kids can play safely" or "I need something modern but with character for entertaining." This AI breakthrough bridges that gap. It understands context, preferences, and the emotional language we use when describing our ideal home. The real estate industry has been slow to adopt AI compared to other sectors. But when platforms start speaking the same language as their users, everything changes. Buyers get better matches. Agents get more qualified leads. Everyone saves time. The question isn't whether AI will transform real estate search—it's how quickly the rest of the industry will catch up. What's the most frustrating part of searching for homes online that you think AI could solve?

The search bar is your e-commerce site's most valuable real estate. But does it truly understand what your customers want? 🧐 Most search engines force users to make a generic search like "comforter," and then wrestle with countless filters to find what they're looking for. Gengage transforms the search bar into a true shopping assistant. Instead of struggling with filters, your customers can describe exactly what they want in a single step. They can bypass the filtering process entirely by typing a detailed request like "washable microfiber comforter for a single bed" directly into the search bar, getting them straight to the most relevant results. That's because Gengage understands the complete intent behind the query, not just individual keywords. But the experience doesn't stop there. Gengage then recommends the top 3 products that best suit the user's detailed request and offers the ability to instantly compare them. This isn’t just a search result—it’s a personally guided shopping experience. Watch our new video to see how this advanced experience works in practice. 👇 #gengage #eCommerce #AI #agenticAI #UserExperience

For anyone who’s ever spent months trawling listings only to discover their dream flat sold quietly to someone’s “friend of a friend,” the promise of true market visibility feels almost mythical. 🏡🏡🏡 London’s luxury housing market, particularly the £1 million-plus bracket, has long operated on partial truths – what’s visible online and what actually exists are often two very different things. That’s the gap HomeHapp AI says it wants to close. The London-based platform has launched what it calls the world’s first Prime Property Intelligence Engine, an AI-driven system designed to merge public listings, private databases, and off-market exclusives into one searchable interface. READ MORE: https://lnkd.in/eNPcZHMa

Overview: People often say the real estate industry is slow to change, but in just the past few years, there have been significant shifts in how business is conducted — especially in the digital realm. Since the pandemic, we as an industry have become technologists in more ways that we realize. The rise of the internet and disruptors in previous decades might have foreshadowed that evolution. It certainly primed the pump. According to a recent article by Real Estate News, there are five ways residential real estate has changed (or continued to change) since 2020. Read about them here... #realestate #realestatemarket #residentialrealestate #realestatechanges #realestatemarketshifts #realestatereferrals #realestateagents #Realtors #brokerfees #realestatedisruptors #homesales #sellingahome #buyingahome #listingahome #marketingahome #AI #realestatetechnology #esigning #digitaldocs #digitalsigning #onlinedocmanagement #realestatetransactions #socialmediarealestatecontent https://lnkd.in/gK7vcfvU

Excited to share a recent digital strategy case study featuring Michael, a Realtor from Palo Alto. Here’s how he achieved a remarkable 7-figure pipeline increase in high-value listings: THE CHALLENGE: Michael faced fierce competition in a crowded market where AI and search engines weren't recommending him. His profiles lacked consistency across platforms, and while his website looked appealing, it wasn’t converting visitors into clients. Consequently, competitors with clearer branding and targeted keywords were attracting the high-intent leads that should have been his. THE SOLUTION: We introduced the 6 Digital Pillars framework—focusing on brand consistency, storytelling, service offerings, geographic authority, social proof, and strategic CTAs—enhanced by thorough keyword research. Michael honed in on a powerful niche: Eichler Homes in Palo Alto. By aligning his brand presence across platforms and curating content around this niche, he gained recognition as a trusted expert. THE RESULTS: 📈 Achieved visibility in high-intent “Eichler Homes” searches. 💰 Developed a pipeline worth $500K–$1M in commissions from this specific niche. 🤝 Established himself as the recommended authority for Eichler homeowners in Palo Alto. This case exemplifies that consistency + clarity = trust—both with clients and AI. When AI trusts you, it recommends you. If you're interested in learning more about the 6 Digital Pillars framework, feel free to reach out! Happy to chat. 👇 #DigitalMarketing #RealEstate #BrandStrategy #AI

🚨 The real estate game just changed forever. Most agents are still stuck in 2015—manually posting listings across multiple platforms, writing captions from scratch, and wondering why their content gets zero engagement. Meanwhile, tech-savvy agents are about to leave everyone else in the dust. The ReelMap launches October 16th, and it's the first AI-driven platform that's actually built FOR real estate professionals. Here's what makes this a game-changer: ✅ Upload once, distribute everywhere No more copying and pasting the same listing across Instagram, YouTube, and Facebook. The platform does it automatically. ✅ AI that works 24/7 The Olii AI system generates optimized captions, hashtags, and metadata while you sleep. Your content gets maximum reach without the manual work. ✅ Interactive map-based discovery Buyers can explore video listings by location. No more endless scrolling through static photos. ✅ One centralized dashboard Manage your entire digital presence from a single platform. Stop juggling 15 different apps. Built by Texas broker Robert Gomez, this isn't some generic tech solution. It's designed by someone who actually understands the real estate hustle. The first 150 agents get founder-level discounts. Early access starts now. While most agents are still manually posting listings, the smart ones are already positioning themselves for the AI revolution. The question isn't whether AI will transform real estate marketing. It's whether you'll be leading the change or watching from the sidelines. Are you ready to automate your way to more listings and better engagement?

Restb.ai is filling the “data gap” for better AI-powered home search Why this matters: - It solves a longstanding issue: many property listings are inconsistent or incomplete because agents manually enter features, often leaving out some details. - By leveraging images to infer features like architectural style, garage count, condition etc., search experiences become more accurate, filters more useful, and buyers can find properties that match their preferences more precisely. Our take: We see this as an important innovation. It enhances the real-estate search ecosystem by reducing friction for agents and improving quality for buyers. There's opportunity in scaling this across more MLSs, and also ensuring that the AI remains accurate across diverse markets (where “style” or “condition” might look very different). A concern is around the edge-cases: photo quality, staging, misleading images could still lead to incorrect data; the system will need robust validation and possibly human oversight. What do you think? How much would you trust AI-derived data in property listings vs manually verified features? And in markets where resources are limited, do you think such automated image-based tagging could be a game-changer? Dominik Pogorzelski Nathan Brannen Read More:- https://lnkd.in/dDyqfkpq #RestbAI #RealEstateTech #ComputerVision #AI #MLS #HomeSearch #DataEnrichment #RESOStandard #businessnews #businessinsights #businessinsightsjournal #BIJ

🏠 The way we search for homes just changed forever. Realtor.com just launched something that will make every other property search feel ancient. Instead of clicking through endless filters and dropdown menus, you can now search for homes the way you actually think: "Find me a cozy 3-bedroom house with a big backyard near good schools" "Show me modern condos with city views under $500k" "I want a fixer-upper with character in a walkable neighborhood" The AI understands your intent, not just your keywords. This is huge because most people don't think in real estate jargon. They don't search for "3BR/2BA, 1,800 sq ft, built after 2010." They think "I need space for my growing family and a home office." Here's why this matters for the entire industry: ✅ Buyers will find relevant properties faster ✅ Less frustration with complex search interfaces ✅ More qualified leads for agents ✅ Better match between buyer needs and available inventory We're moving from "search like a computer" to "search like a human." This is just the beginning. Every industry that relies on complex search and filtering is about to get disrupted by conversational AI. Real estate agents who embrace this shift will thrive. Those who resist will struggle to keep up. The question isn't whether AI will change how we buy and sell homes. It's how quickly you'll adapt to serve clients in this new reality. What's your take—will AI-powered search make home buying easier or more complicated?

🔎 From Search → to Selection → to Agents The internet is moving into an Agentic Era. Instead of people searching on Google or marketplaces, AI agents will shop on their behalf. This shift creates a new discipline: Agentic SEO (AEO). It’s no longer about ranking on a search engine — it’s about being the product/service an AI agent recommends or auto-purchases. ✅ Think of it as the evolution of SEO → AEO. If your data isn’t structured, discoverable, and machine-readable, your brand won’t even appear in the agent’s shortlist. #AgenticSEO #FutureOfSEO #AICommerce #DigitalMarketing #RankRascals