106. Say What Others Won’t: Generative Engine Optimization With Marcus Sheridan
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Watch the full episode on our YouTube channel: youtube.com/@mreapodcast
We’ve all been told to create content — but few know how to make it *trustworthy* enough for people and AI to choose it. Marcus Sheridan does. Known for transforming his struggling pool company into a global content powerhouse, Marcus built his business on a simple idea: Answer every question your buyers are asking with radical honesty.
In this episode, Marcus shows us how to win attention in the age of generative search by becoming the most known and trusted voice in your market. He breaks down his Four Pillars of Trust: 1. Say what others won’t, 2. Show what others won’t, 3. Sell in ways others won’t, and 4. Be more human than your competition. Marcus also breaks down the five topics every client is already Googling before they ever call you.
From car-recorded videos to transparent pricing pages and AI-proof content strategy, Marcus gives us the blueprint to stand out in a noisy world and make both people and machines believe, “You’re the real estate agent we can trust.”
Resources:
- Read: They Ask, You Answer by Marcus Sheridan
- Read: Endless Customers by Marcus Sheridan
- Try: Marcus Sheridan’s custom GPTs — Endless Real Estate Content Titles; Show What Others Won’t; Endless Self-Service Tools by Marcus Sheridan (search “Marcus Sheridan” in GPTs)
- Try: AITrustSignals.com website grader for AI visibility
- Listen: YouTube Strategies Every Real Estate Agent Needs With Sean Cannell | The MREA Podcast (EP.76)
- Listen: Difficult Conversations with Phil M Jones | The MREA Podcast (EP.32)
- Order the Millionaire Real Estate Agent Playbook | Volume 3
Connect with Jason:
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This podcast is for general informational purposes only. The views, thoughts, and opinions of the guest represent those of the guest and not Keller Williams Realty, LLC and its affiliates, and should not be construed as financial, economic, legal, tax, or other advice. This podcast is provided without any warranty, or guarantee of its accuracy, completeness, timeliness, or results from using the information.
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The use of generative AI is subject to limitations, including the availability and quality of the training data used to train the AI model used. Users should exercise caution and independently verify any information or output generated by the AI system utilized and should apply their own judgment and critical thinking when interpreting and utilizing the outputs of generative AI.