How can realtors use ChatGPT to build a downsizing seller offer and video funnel?
Noah Haupt builds a ChatGPT downsizing seller ad funnel by moving from client research to a specific guide, a video script, and a booking sequence. His demonstration shows AI as a drafting and planning tool, with the agent responsible for accurate context, compliant language, implementation, and live follow-up.
By Noah Haupt, founder of Peak Presence
What does this video cover?
- —Defining an ideal client around a real downsizing situation
- —Asking ChatGPT to clarify the brief before writing
- —Removing discriminatory audience language from the offer
- —Naming a locally relevant downsizing lead magnet
- —Revising the hook, body, and close
- —Outlining a landing page, calendar, and confirmation path
- —Drafting follow-up and appointment reminders without outsourcing human judgment
What context should a realtor give ChatGPT before asking for an ad?
Haupt starts with an ideal customer profile rather than a request for generic real estate copy. In his example, the agent serves St. Paul homeowners who want to downsize because maintaining the current property has become burdensome. The practical goals include a more manageable layout, less upkeep, and a clearer next move. Those details give the later offer a defined problem to solve.
Haupt initially includes demographic and financial background in the research example, then explicitly notes that real estate messaging cannot discriminate. The useful public-facing focus is the homeowner's property needs and moving goals, not exclusion based on age, gender, health, or another protected characteristic. AI-generated copy needs review rather than automatic publication simply because it followed a prompt.
Why does Haupt ask ChatGPT to ask follow-up questions?
Haupt's prompting technique is to ask the model for two or three clarifying questions before drafting the campaign. In the demonstration, it asks about emotional and practical concerns, the desired destination, and what is prompting the move. That process helps the agent uncover details a short initial brief may omit, such as fear of change or concern about receiving enough for the current home.
Haupt answers with the example client's concerns and relocation preferences, allowing later drafts to refer to a consistent situation. The important source of truth remains the agent's actual knowledge of clients. ChatGPT can organize the brief and surface missing questions, but it cannot establish that a particular concern, income level, or motivation describes the local market without evidence.
How does the demonstration turn client research into a lead magnet?
Haupt asks for a lead magnet specifically suited to the profile, and the model proposes a St. Paul downsizing blueprint. When the first title includes an age restriction, Haupt tells it to remove that wording because the real estate offer cannot discriminate. The revised concept focuses on selling smart and simplifying the next chapter rather than defining eligibility by age.
Haupt treats that resource as the campaign's offer. Its job is to address the transition the homeowner is considering, not merely advertise the agent. The distinctive blueprint name also creates a way to explain the resource in the video, page headline, and follow-up messages. The AI outline still needs to become a useful guide before it is presented as something the homeowner can receive.
How does Haupt prompt and revise the downsizing video script?
Haupt requests a hook, body, and close. The hook should immediately identify a St. Paul-area homeowner considering downsizing; the body should explain the blueprint's relevance and difference; the close should tell the viewer to click, answer a few questions, and receive the guide. He wants the copy to feel directed to one person rather than a vague group of potential customers.
Haupt rejects the first opening because it is too broad and asks ChatGPT to name the intended situation more clearly. He likes questions that reflect genuine concerns, such as whether the current home will produce enough for the next move. He also suggests adding social proof, but his hypothetical named-client line is not a real testimonial and should never be published as one.
What does Haupt want the video to do before someone clicks?
Haupt says a specific opening should encourage relevant homeowners to keep watching while letting unrelated viewers move on. The goal is not to make the guide interesting to everyone. The body should explain why it helps with the downsizing decision, and the close should connect that value to one straightforward action rather than introduce a different offer.
Haupt favors actual agent video because it gives prospects a face and voice before a live conversation. He connects his platform preference to intent-related advertising, but the practical creative lesson is narrower: use local and situational relevance, explain the resource, and make the agent's delivery believable. AI supplies a draft, not the lived credibility or truth of the message.
How does the proposed funnel turn the ad into a consultation?
Haupt asks ChatGPT for a three-step funnel outline rather than building the entire system during the demonstration. He wants a dedicated landing page that explains the guide and collects information, not a general website with unrelated navigation. The model supplies a headline, subheadline, and benefit ideas that the agent can refine around the same offer used in the video.
Haupt then clarifies the order: a calendar page can tell the homeowner that the guide is on the way and invite a personalized downsizing strategy call. A confirmation page belongs after the booking. That correction matters because a generated outline can confuse delivery, scheduling, and confirmation unless someone checks the actual experience the homeowner will move through.
How can ChatGPT help with nurture and appointment reminders?
Haupt asks for a seven-day follow-up sequence intended to get a response, along with a separate pre-call reminder sequence. These are different tasks: one helps an unbooked lead continue the conversation, while the other prepares someone who has already scheduled. The messages should continue the downsizing context rather than revert to generic real estate check-ins.
Haupt presents AI and automation as leverage, not proof that the complete system is already implemented. Pages, guide delivery, messages, and booking logic still need to be built and reviewed. Live follow-up remains the responsibility of the agent or a North American ISA; a prompt-generated message sequence is not a substitute for a real person discussing a homeowner's plans.
What else should you know about this video?
What should I tell ChatGPT before asking for a downsizing ad?
Haupt recommends providing the market, property-related needs, concerns, and desired next step. Actual client knowledge should supply the context rather than letting the model invent an audience.
Why ask ChatGPT to clarify the ideal client profile?
Haupt uses two or three follow-up questions to uncover missing practical and emotional details. The answers help the later guide and script address a coherent situation.
Why did Haupt remove the age wording from the lead magnet?
Haupt explicitly flags discrimination concerns in real estate messaging. The revised offer focuses on the downsizing situation and useful outcome rather than excluding people by age.
Does the tutorial build the complete funnel?
No. Haupt asks for an outline, then explains how the landing page, calendar, and confirmation should fit together. The actual pages, guide, and message delivery still need implementation and review.
Does using AI mean seller follow-up is handled by automated callers?
No. The demonstrated AI role is drafting research, copy, and message sequences. Live conversations are handled by the agent or North American ISAs, with automation supporting the process.
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