Overview of the PresentationCarrie Soave's presentation, delivered as a practical "class" rather than a traditional keynote, focuses on integrating AI into real estate workflows to enhance visibility, generate leads, and scale operations. As a licensed real estate agent with 15 years of experience in residential and commercial sectors, Soave positions herself as a relatable expert who has built a multi-million-dollar AI consulting business using these tools. The talk emphasizes that AI is no longer optional—it's essential for survival in a market where 75% of property searches involve AI tools like ChatGPT, Perplexity, and Google AI Overviews. She stresses that traditional SEO (keyword stuffing) is obsolete; AI prioritizes "value" through natural, conversational content that mimics human speech patterns.The presentation is structured around two core themes: AI-driven discovery and recommendations (getting AI to recommend you as an agent) and AI-powered content creation and automation (especially on social media). Soave shares actionable steps, free custom GPTs, and workflows, repeatedly addressing time constraints for busy agents (e.g., those with families). She uses humor, personal anecdotes (e.g., her reluctance to film videos), and live demos to engage the audience, ending with a Q&A that reinforces implementation tips.Key takeaway: Implementing these strategies now provides a 6-12 month edge over competitors, potentially boosting organic leads by 20-30% without ad spend. Soave warns that delaying adoption turns AI from an advantage into a "price of admission."Key Sections and Insights1. The Shift to AI Search: Becoming the Recommended AgentSoave argues that referrals are now "automated" via AI gatekeepers (Google AI, ChatGPT, Perplexity, Siri/Alexa). Traditional Google yields "pages of sponsored ad garbage," but AI delivers direct recommendations (often just 1-2 agents). If AI can't "find" you, you're invisible to 75% of clients. - Test for Yourself: She prompts the audience to query ChatGPT (e.g., "top luxury realtor in [your city]")—few show up, highlighting the urgency. - How AI Selects Recommendations: AI scans websites, reviews (Google, Zillow, Yelp), content (blogs, videos, social media), and local mentions. It favors "value" over keywords, acting like "tiny spiders" with human-like reasoning. - Data Sources AI Relies On: - Three Pillars of AI Recommendations:Credibility: High-volume, high-quality reviews (aim for 50+; automate via CRM drip campaigns using Zapier/Make.com).Discoverability: Optimize profiles (Google My Business, Apple Business Connect, Bing Places) with 20+ photos and schema markup.Relevance: Hyper-local, Q&A-style content answering client searches (e.g., "midcentury modern home with inground pool in San Diego").