Free class · Get found
Buyers and sellers now ask ChatGPT, Gemini, Claude, and Perplexity who to call. This class shows you how to check what those answers say about you, verify every source they cite, and build one public answer worth citing.
Part 1
An answer can come from what the model learned in training, or from a live web search the assistant ran for this question. OpenAI documents that ChatGPT can search automatically or when the user chooses search. Search behavior depends on the product and the question, so never assume a local question triggered it.
A generated answer can attach a link that only partly supports the sentence beside it, or doesn't support it at all. Research on generative search found citation accuracy has to be checked separately from whether a citation appears. Open every link: claim, URL, then full, partial, or unsupported.
The durable practices hold across every system: publish helpful visible text, keep important facts accurate and current across every page and profile, use structured data only to describe what's visible, earn distribution by giving partners useful sourced material, and save repeatable observations. Build a public record worth using even if no AI system ever cites it.
Part 2
These are work areas, not a proven ranking order. The class combines them into one Source Package, one public answer, one partner handoff, and one retest.
Make your identity, brokerage, market, services, and credentials accurate and consistent everywhere they appear. AI has to resolve one clear you before it can say anything useful about you.
Answer a real client question with visible text and direct sources. Write it to help a buyer or seller even if no answer engine ever reads it.
Adapt that answer for a lender, title partner, inspector, association, newsletter, podcast, or client who serves the same people. Lead with value for their audience.
Keep authentic client experience and verified property facts. Never write reviews for clients, script their sentiment, or invent listing details.
Update facts that changed and fix stale or conflicting public sources. One outdated bio can contradict ten good pages.
Vague claim
Award-winning local expert. Passionate about great service. The market is moving fast.
Source Package
The Source Package is a portable document you own. It becomes the brief for the public article, the partner handoff, and the client share. It gives a person, or an AI, something concrete to inspect. It doesn't make a claim true by itself.
Turn the Source Package into one public article that answers the exact client question, with direct links beside factual claims, an as-of date, and your firsthand observations kept separate from sourced facts. Your website first. A substantial LinkedIn article works while the site catches up. Then adapt it for a partner newsletter, a reporter or podcast, your social channels, and the client who asked. Drafted, sent, published, and cited are different facts, so track which one you actually have.
Part 3
A repeatable receipt beats a one-time screenshot. Pick one real question, ask it with web search on, and save the exact wording, system, date, search setting, answer, and every URL.
Same-question baseline
Use web search. Answer this exact question: [THE BUYER OR SELLER QUESTION, WORD FOR WORD] Then return: 1. The answer 2. Every factual claim about the professional 3. The exact public URL for each claim 4. Whether each URL fully, partly, or does not support its claim 5. Conflicts, stale facts, or missing information
Named, not named, or ambiguous. Copy the exact text and which statements are correct, stale, or unsupported.
System, date, location if it matters, exact wording, and whether web search was active.
Fix one weak public fact, publish one missing answer, or strengthen one distribution path. Then retest.
Two systems or two dates giving different answers is an observation, not a stable rank. Don't label unexplained traffic as AI traffic. Unknown attribution stays unknown.
Free with a student account
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No. Nobody can, and anyone who promises it is guessing. Answers change by system, wording, search setting, location, and date. What you control is the public record: accurate profiles, useful sourced content, legitimate distribution, and honest reviews. This class teaches you to build that record and check it.
GEO is an emerging research area about how the way sources are presented affects what generative search systems cite. Treat it as research context, not a ranking recipe. The practical work is the same as good SEO: helpful visible text, accurate facts, and evidence people can inspect.
Sometimes. Some assistants search automatically or when the user turns search on, and others answer from what the model learned in training. Never assume a local question triggered live search. Record whether search was active every time you check.
No. Google says its normal Search fundamentals also apply to its AI features and that no special AI markup is required. Use structured data only to describe what is visibly on the page.
One real question a buyer or seller in your market asks, a foundation model with web search such as ChatGPT, Claude, or Gemini, and about an hour. The workbook in the student portal walks you through each step.
Get found
Build one Agent Context folder, then ship a page about you, a listing page, and a private client page that follow your guardrails and consent rules.
Foundations
Think about AI like a new hire, brief it properly, give it a reusable Context Card, and fact-check every claim.
Systems and automation
Write any recurring job as trigger, middle, exit condition, and iterations, so AI drafts on a schedule and you keep the send button.
Library
The whole library of recorded classes, by topic.
Research sources
Google's current guidance for generative Search features: useful pages, standard Search foundations, good media, and no query-variation page spam.
Google's current questions for original value, first-hand expertise, authorship, sourcing, and satisfying the visitor's goal.
How and when ChatGPT searches the web, and how it shows sources.
Original research finding that citations in generative search often fail to fully support the statements they are attached to.
The research paper that named GEO. Context for how source presentation can affect generative answers, not a ranking recipe.
The rules for asking clients for reviews without scripting or filtering them.
Product access, limits, local listing rules, platform policies, and laws can change. Re-check the linked authority before important or public work.
Keep building
AI Acceleration: Real Estate is a private, self-directed curriculum for practical AI work across content, communication, lead follow-up, CRM, client research, operations, and relationship management. Build it. Review it. Keep what works.
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No ranking, revenue, closing, or time-saving promise. The classes teach the work and the review systems around it.