Generative Search Engines: Impact on Portal Traffic

Generative search engines combine a traditional web-crawler index with a large-language-model (LLM). When someone types (or speaks) a question, the model writes a short answer, then attaches a handful of source links underneath. Google’s AI Overviews, Microsoft’s Copilot in Bing, Perplexity.ai, and the new ChatGPT Search prototype all sit in this category. Because the answer […]

Legal and Ethical Considerations around Data-Retention Policies for Chat Logs & Transcripts

Why Data-Retention Rules Matter to Your Business Chat logs and AI-generated transcripts often include people’s names, phone numbers, price discussions and even bank details. Losing control of that information can lead to fines, loss of trust and, from June 2025, lawsuits for “serious invasions of privacy” under new federal reforms.(AGS) Key Laws You Must Follow […]

Disclosure Rules for AI-Generated Images & Copy

Why Disclosure Matters Failing to flag AI-generated material can mislead buyers and tenants, breach consumer-protection law and damage hard-won trust. Clear labelling also protects your agency if regulators, vendors or the press question the authenticity of a photo or description. Key Legal Foundations in Australia Australian Consumer Law (ACL) – prohibits any “false, misleading or […]

Creating Auto-Updates for Vendors using AI (SMS + Email)

Why Automating Vendor Updates Is a Game-Changer Sending clear, timely updates keeps sellers calm, builds trust, and shows you’re on the ball. Automating those messages with AI means every vendor hears from you at the perfect moment – without you typing a single line. The End-to-End Workflow in Four Quick Dots Data in: Your CRM […]

Using AI to create Dynamic FAQ Knowledge-Bases That Update Themselves

Why a Living FAQ Matters A self-updating FAQ gives buyers, tenants, sellers, and staff the exact answers they need any time of day without waiting for a phone-back. Done well, it: Cuts support emails and calls so you win time for prospecting Surfaces fresh insights (common objections, pricing doubts, lease terms) the moment they appear […]

Explainer: How Large Datasets Use AI to Train Property-Pricing Models

A property-pricing model is computer software that looks at many facts about a home and its surroundings, then predicts a likely sale price. The most common type is an Automated Valuation Model (AVM). An AVM copies the steps a valuer takes – finding similar recent sales, checking current listings, and weighing up the home’s features, […]

Combining CoreLogic Data with LLM Commentary for Vendor Reports

Using CoreLogic’s trusted property numbers together with a large-language model (LLM) like ChatGPT lets you give sellers easy-to-read market stories, not just raw tables. The AI spots patterns fast, then explains them in plain words. Your vendors get a clear picture of why your price guide and strategy make sense. What CoreLogic Data Brings to […]

Automated Diary Scheduling With Natural-Language Bots

A week in real estate is peppered with appraisals, buyer consultations, building reports, strata meetings, open-home debriefs, and endless follow-ups. Trying to fit everything in by hand often leads to double-bookings, rushed travel, and missed opportunities. Natural-language scheduling bots remove that stress, saving hours, protecting family time, and ensuring every client feels prioritised. How natural-language […]