Unlocking the Future of Real Estate: What You’ll Discover at My AI Seminar

Introduction

In October 2025, the real estate industry is at a crossroads. On one side lies the familiar: the tools, workflows, and lead generation systems many of us have used for years. On the other, the rising wave of intelligence — AI systems that learn, adapt, predict, and sometimes outthink us.

I believe agents who adopt the right mindset and workflows now will be the ones who thrive. That’s why at our upcoming meeting with the Southland Regional Association of REALTORS, I’ll be diving into how you can harness AI as your ally, not your competitor.

Below is a preview of what I’ll present, why it matters, and how you can get the most out of the session. I’m also including a free prompt playbook and GMB/Bing optimization video & documentation you can access now. (Check it out here: Prompt & GMB/Bing Optimization Resource)

Let me walk you through what’s coming — and what you’ll walk away with as an agent who’s ready for the next frontier.

Why This Seminar Matters — Now

You may have heard hype about AI — “it will replace agents,” “it will generate all your leads,” “you’ll never need to lift a finger again.” But most of those claims are oversimplified or dangerous to believe.

What’s different today is intelligence, not just automation. Previous tech (CRMs, email automations, mass mailers) enhanced what we already did. But AI learns, adapts, generalizes, and sometimes surprises. That’s what makes it different.

When you walk into my seminar, I want you to see how that difference unleashes opportunity — if you handle it wisely, stay skeptical, and move fast. I also want you to leave with things you can do immediately — prompts, strategies, guardrails, and a mindset shift that keeps you sharp in 2025.

What You’ll Walk Away With

At the end of the 45-minute seminar, you’ll have:

1. A mental model of how modern AI works — the self-learning, emergent layer that distinguishes it from old automation.

2. Prompt playbook & starter prompts you can use right now (and refine) in your business.

3. GMB (Google Business) & Bing / Bing Places / optimization tactics so your AI presence is visible — not hidden.

4. Risk awareness & red flag checklist — so you don’t fall for overpromising “AI lead systems.”

5. Examples & ideas tied to your MLS & Title data edge — how you can lean into what only agents have access to.

6. A mindset shift / agility framework — to keep you evolving rather than stuck, as models and platforms change.

I plan to reference the prompt PDF I’ve published (in our SantaClaritaAI community) so you can use it as an anchor. I’ll also demonstrate live prompts or show how you can test them later (via Zoom or the community space).

Seminar Agenda / Flow (What Each Section Covers)

Here’s roughly how I’ll structure the talk — so when you see each segment, you know what I’m aiming for.

Seminar Agenda Overview

Opening + Tease
Focus: Tiger metaphor, promises of value
Why It’s Important: Grounds everyone in the power, risk, and awe of AI.

AI Origins & Self-Learning
Focus: From rule-based systems to generative AI and emergent behavior
Why It’s Important: Shows how current AI differs from past automation and why it matters now.

Risks, Dangers & What’s Already Happening
Focus: Hallucinations, bias, overpromising systems, AI saturation
Why It’s Important: Arms you with skepticism and awareness so you can avoid costly pitfalls.

Agent Edge: MLS + Title Data
Focus: How agents uniquely have access to proprietary data
Why It’s Important: Demonstrates how your domain knowledge and local insight form your competitive moat.

Lead Promise Systems & Red Flags
Focus: “8–12 free leads per month,” pay-on-close offers, AI ad systems
Why It’s Important: Helps you evaluate marketing promises intelligently and ask the right questions.

SEO / GEO / AEO / AI Visibility + Business Profile Optimization
Focus: Google Business, Bing Places, and AI-friendly content strategies
Why It’s Important: Ensures AI systems can see, index, and cite you — strengthening your visibility and credibility.

How Agents Should Use AI (Prompts, Workflows, Examples)
Focus: Real-world prompt examples, data ingestion, chat flows
Why It’s Important: Turns theory into practical, daily use in your real estate business.

Mindset & Agility in 2025
Focus: Staying nimble, skeptical, adaptable
Why It’s Important: Technology evolves fast — rigid mindsets will be left behind.

Live Prompt Demo / Interaction
Focus: Running prompts live or demonstrating the prompt library
Why It’s Important: Makes AI applications tangible, hands-on, and confidence-building.

Closing & Challenge
Focus: Recap, next steps, and action challenge
Why It’s Important: Ensures you leave energized, focused, and ready to implement what you’ve learned.

Deep Dive: What I’ll Explain in Each Section

Below is a more detailed preview of what I will cover, and why it matters to you as a real estate professional.

Opening / Metaphor

I’ll open with the tiger cub metaphor (which many of you have already heard). But I’ll refine it in this talk — not just how powerful intelligence can be, but how quickly it can shift the balance. I’ll ask rhetorical questions: what happens when that cub becomes smarter than you? What if it replicates, shares learning, evolves faster than any human?

Then I’ll tie that to our industry: we built our careers on knowledge, trust, local edge. If AI becomes a faster “tiger,” we must be strategic and intentional, not reactive.

AI Origins & Self-Learning (Why It’s Different This Time)

• Rule-based / expert systems → statistical / machine learning → large language models / generative AI

• The turning point: models that train on their own output, reinforcement, chain-of-thought, unsupervised learning

• Example: AlphaGo’s now-famous “move 37” — a play no human had ever discovered, because the AI transcended human bias.

• The difference: when AI is not just trained on human data, but can invent beyond it. That’s where hallucination, creativity, and emergent behavior live.

• How that changes what “automation” means — it’s no longer just “do what we told it”; it can surprise you.

The goal: you walk away understanding the risks and opportunities if a system “thinks beyond” its training.

Risks, Dangers & What’s Already Happening

I’ll catalog real risks, using stories and examples to make them vivid:

• Hallucinations: AI confidently stating things that are false (wrong school zones, amenities, ownership facts)

• Bias / Fair housing / discrimination risks: when models inadvertently reinforce demographic patterns or steer clients

• Opaque claims / too-good-to-be-true lead systems: especially those promising “free leads,” “pay-only-upon-close,” AI-only funnels

• Dependency / lock-in: becoming reliant on one vendor’s black-box system

• Data privacy / PII risk: uploading title documents, client data into tools with weak governance

• Platform / model shift risk: vendors changing APIs, removing features, raising costs

• Trust erosion: if AI content becomes generic, agents must preserve differentiation

I will also show evidence / credible stories (from press, tech, real estate tech) of AI slip-ups, misattributions, AI-written content that misled users.

The goal: you’ll leave not fearful, but vigilant. You’ll know what questions to ask, and what practices to avoid.

Agent Edge: MLS + Title Data — Your Secret Weapon

This is the part I’m most excited to dig into. Many AI vendors promise generative lead systems, but they lack access to your proprietary data. You have something they don’t:

• The MLS: active, pending, sold comps, listing histories

• Title / recorder data: chain of title, recording dates, liens, transfer patterns, owner tenure

• Off-market, pocket listings, private knowledge networks

In this section, I’ll show examples of how to feed MLS + title exports into AI / prompt pipelines to get higher-quality outputs:

• Asking an LLM: “Here’s the chain-of-title + sale dates + comps — flag anomalies, suggest top likely sellers.”

• Having AI read ownership data and build lists ranked by “sell probability.”

• Using local nuance (neighborhood quirks, market rhythms) to correct AI biases.

I’ll emphasize: your domain knowledge + ability to vet the output is what makes this powerful. AI helps you scale, but your judgment remains the filter.

Lead Promise Systems & Red Flags

I’ll review the kinds of offers agents are already seeing:

• “8–12 seller leads per month, no upfront cost, AI-driven funnel.”

• “AI books appointments for you automatically.”

• Predictive analytics / lead scoring tools (e.g. “who’s likely to sell next year”)

• Conversational marketing systems (AI chat flows that aim to convert leads)

For each, I’ll run through a checklist you should demand:

• Ask for real leads (names, phones) they’ve delivered

• Show ad spend / performance data

• Understand what “close” means in their language

• Ask about human oversight / fallback

• Get exportability / data access

• Probe vendor risk, lock-in, and exit options

I’ll also show hypothetical “bad deals” (promises breaking down) and how to spot them early.

SEO / GEO / AEO / AI Visibility + Business Profile Optimization

A highlight of the talk — I’ll teach you how to ensure AI systems see you, not just your content.

Key subtopics:

• Definitions / the shift: SEO (traditional), AEO / Answer Engine Optimization, GEO / Generative Engine Optimization

• Why it matters: AI models increasingly pull content, citations, and summaries from your content — if you aren’t in their data, you won’t get cited

• Google Business / Bing Places optimization

  • Filling every field (name, address, phone, categories, service areas, descriptions, FAQ)

  • Using local keywords, consistent NAP

  • Regular posts, photos, updates

  • Reviews + responsiveness

  • Enabling messaging

  • Monitoring profile analytics

• Bing / Microsoft / OpenAI tie-ins

  • Because Microsoft is deeply integrated with OpenAI / Bing / Chat systems, a strong Bing Places profile can feed into AI discovery

  • Less competition on Bing means more lift for you

• AI / GEO-friendly content strategies

  • FAQ / Q&A content (questions people actually ask)

  • Metadata + snippet prompts (titles + short answers)

  • Structured content, schema / structured data / LocalBusiness markup

  • Frequent updates so content doesn’t go stale

  • External citations, earned media links, local directories

I’ll walk you through prompt examples (that are also in your prompt playbook) where you ask AI to generate FAQ + snippet combinations, business descriptions, and content that’s more likely to be cited by Gemini / ChatGPT.

How Agents Should Use AI (Prompts, Workflows, Examples)

This is where theory becomes hands-on. I’ll guide you through real prompts (from the playbook) and show you how to:

• Ingest your MLS / title exports

• Run listing description prompts and take the output

• Convert that output into social / metadata / email content

• Create chat flows or qualifying scripts

• Use drip / nurture sequences

• Summaries of legal or title documents

• Monitor, iterate, refine

If time allows, I’ll demo one or two prompts live (or show them in a Zoom follow-up), so you see the process: prompt → review → refine → validate → use.

You’ll walk away not only with prompt ideas, but with a mental blueprint of how to structure AI workflows in your business.

Mindset & Agility in 2025

Because tools and models shift fast, I’ll close that section with an emphasis on mindset more than mechanics. Some themes:

• Be nimble, not locked in

• Always ask: Is this claim real? What is the data behind it?

• Adopt curiosity over certainty — experiment, measure, iterate

• Use AI, but keep your human judgment, domain knowledge, and ethical guardrails front and center

• Don’t be complacent — agents who rest thinking “I’ve enough business” may get overtaken

• Your brand, authenticity, local insight — that will always be your differentiator

I’ll slide in some humor and roasting — a jab or two at agents who insist “AI is just a fad” — to keep it lively and real.

Live Prompt Demo / Interaction

If time allows, or in a follow-up Zoom, I’ll run one (or two) prompts live. You’ll see:

1. Prompt input (with your data, e.g. listing or title)

2. Model output

3. Prompt refinements / tweaks to improve tone, localization, or accuracy

4. Output validation / spotting hallucinations

5. Copying / exporting / using that output in real business contexts

I may also invite someone in the audience (if in person) to feed me a property detail and run the prompt live so you see it in action.

By doing this, I want you to leave confident: “Yeah, I can run that prompt tomorrow, tweak it, and get usable content.”

Closing & Challenge

At the end of the session, I’ll recap key takeaways. Then I’ll issue a challenge to everyone in attendance:

Within the next 7 days, pick one prompt from the playbook (listing copy, business profile, title summary, drip email) and run it in your business. Use or test the output. Share your results or learnings in our SantaClaritaAI community.
If you do that, by next month you’ll already see how AI is adding compounding advantage — and you’ll be ahead of agents who are just waiting and watching.

I’ll remind you the PDF prompt playbook (hosted in the community) is your tool. I’ll also remind you: I’ll reference it frequently in demos, talks, and Zoom follow-ups. Use it. Learn it. Iterate with it.

Why You Should Attend — in Your Own Words

If you’re an agent who wants to:

• Stop depending on generic lead vendors

• Use your unique local data to get better content, leads, and edge

• Build systems now so you're not scrambling when AI shifts next

• Avoid getting hustled by overpromising AI lead systems

• Stay relevant, visible, and trusted in a world where AI is part of everything

Then you should attend. This isn’t about replacing humans; it’s about augmenting your capability, amplifying your reach, and magnifying your domain knowledge so you stay indispensable.

How to Prepare, What to Bring, and What to Do After

Before the meeting:

• Register and block your calendar

• Explore the preview resource I published (prompt + GMB / Bing optimization video and documentation) at:

  Prompt & GMB/Bing Resource

• If you can, get your MLS / title data export ready (a sample property, ownership chain, listing details). Bring that into the meeting (on laptop or accessible).

• Sign into or create your SantaClaritaAI community account so you can access the prompt playbook immediately.

What to bring / be ready with:

• A property you want to test (address, specs)

• Neighborhood / ZIP you want to test content for

• A few homeowner addresses you might want to mail or call

• Laptop or device to demo prompts live (if allowed)

• A mindset open to experiment, test, fail, iterate

After the meeting:

• Download the prompt PDF and keep it close

• Test at least one prompt in your day-to-day business

• Compare and refine — prompt iteration is key

• Share your results or roadmap in the SantaClaritaAI community

• Keep building: feed in newer data, push into more workflows (chat, email, content)

• Stay curious: watch how AI / generative systems evolve; update your prompts and strategies

Sneak Peek of Blog / Social Teasers You Can Use

• “In my next talk, I’ll show you how your MLS + title data can power AI workflows no one else can match.”

• “Prompt Playbook now live in the community: 12+ prompts you can run tonight in your business.”

• “Why optimizing your Google Business and Bing Place profiles may be more important today than your website.”

Use these as social post hooks to drive attendance.

Final Thoughts — The Shift Is Already Underway

Some will say AI is overhyped; others will overpromise. I believe the truth lies in the middle: powerful potential, real pitfalls, and massive opportunity for those who act, test, and adapt.

When we gather Friday, I want you to walk away not dazzled, but empowered — with prompts you can run immediately, guardrails you can use, and ideas you’ll improvise on for the next 3, 6, 12 months.

The tiger is growing. Let’s not be its prey — let’s be its guide.

I’m thrilled to see you there.
Connor
SantaClaritaArtificialIntelligence