AI for Realtors: Listings, Leads and Follow-Up on Autopilot

This course contains the use of artificial intelligence.

This course was created with AI assistance, including AI-generated narration, under the direction of the instructors.

Every realtor has the same week: a listing that needs copy tonight, showings whose follow-up never went out, a database of past clients going quiet, and a market update that did not get written again. AI does not fix that week by being clever. It fixes it by being systematic, and this course builds the system, workflow by workflow, on one foundation: facts come from files, never from the model's memory.

Section 1 — Getting Set Up. Your lean AI stack, and the listing file: the complete, verified fact sheet for a property, with a Not Verified section and a standing instruction that makes the model flag missing facts instead of inventing them.

Section 2 — Listing Descriptions. The hook, life, proof, close structure for MLS copy, and the one-to-five batch: one approved description becomes social, email, flyer, and video versions, with the model required to flag anything beyond the file.

Section 3 — Showing Follow-Up. Same-day follow-up built from two-sentence showing notes: recap, detail drop, next step. Feedback chases that listing agents answer, and the open house 7-day window, with neighbors segmented honestly onto the neighbor track.

Section 4 — Lead Nurture. A template library across the five stages (new, active, cooling, long-term, past client and sphere), a monthly drip rotation, and the pest line: the visible difference between presence and spam.

Section 5 — Market Update Content. The monthly update clients actually finish: five numbers you pulled from the MLS or public record, each in number, change, so-what format, plus the neighborhood beat file that makes you the local source.

Section 6 — Client Q&A Prep. The Buyer Twenty: your area's recurring questions, each with a prepared answer (plain answer, evidence, follow-up question), seller objection prep, professional routing for legal, tax, and lending questions, and the same-day recap habit.

Section 7 — Social Content From Listings. Thirty days of content from one listing through the extraction pass, where every idea must cite its fact. The standing shot list, the bright-and-true photo standard, and the privacy check that runs before any showing becomes content.

Section 8 — Guardrails. Fair housing language rules with the flagged list and its rewrites, ad targeting limits, fact discipline, AI disclosure habits, and the sixty-second human review (facts, people, promises) that runs before anything you generate reaches a client.

The companion workbook (a downloadable resource on Lecture 1) carries every template in the course, a five-question quiz at the end of every section, a 25-question final exam with a full answer key, and a printable Certificate of Completion: pass the exam at 80% or higher, fill in your name, date, and score.

Who this course is for: Working realtors who write their own copy and feel the week winning / Agents with a quiet database they know they are neglecting / Team members and assistants who run follow-up and content for an agent / Newer agents who want professional systems and guardrails from day one

The honest part: This course teaches workflows and habits. It does not promise listings, leads, closings, or income, and it is not legal advice: fair housing law, advertising rules, and brokerage policy vary by state and firm, and your broker is your first call on any rule question. What the system does is give you back the hours copy and follow-up were eating, and make every message you send traceable to a fact you verified. Nothing in it asks you to say anything about a property, a client, or a market that you have not confirmed yourself.