Multifamily Marketing

Free course

Become the marketer who runs on AI.

Most AI training for real estate is written by people who have never had to defend a marketing spend to asset management. This one is built around the week you actually have: forty review responses across six communities, renewal letters, thirty ad variants, a competitive shop due Thursday.

Start the first lesson

By the end, you can

  • Stop explaining your portfolioBuild one context file, and every request after that already knows your communities, unit mix, concessions and brand voice.
  • A month of reviews in an afternoonForty responses across six communities that read like a person wrote each one, because the setup is doing the work rather than a template.
  • Thirty ad variants in one passEnough creative for the platform to actually learn something, without writing thirty times.
  • An assistant your team usesThe step from a personal trick to a department capability, which is where most attempts quietly stall.
  • Work that happens without youAgents that watch reviews and competitors and draft the response, running while you are on a tour.
  • A competitive shop before ThursdaySix comp websites turned into one page a regional will actually read.

Who it is for

Marketing managers and directors running somewhere between three and forty apartment communities. You own a budget and you answer for the number. You are not technical, and nothing here needs you to be: there is no code until the last track, and that track is optional.

If you have already read a dozen “10 ChatGPT prompts for realtors” posts and come away with nothing you could use on Monday, this was written for that frustration.

What is inside

Track 1 · 4 lessons · 32 min

Getting real work out of AI

Why your output comes back generic, and the setup that fixes it permanently.

  1. Why your AI output comes back generic

    The three things missing from almost every prompt, and what changes the moment you add them.

  2. The context file that changes everything

    Write your portfolio, brand and numbers down once. Never explain them to a model again.

  3. Work in projects, not chats

    The difference between starting over every morning and having an assistant that already knows the job.

  4. Make AI critique its own work

    The second pass is where the quality is. How to get a model to find its own weak output before you do.

Track 2 · 6 lessons · 51 min

Your week, compressed

The tasks that eat four days. Done properly, in an afternoon.

  1. Renewal letters that don't sound automated

    Turning a rent number into something a resident reads to the end.

  2. Forty review responses in twenty minutes

    Six communities, a month of reviews, and none of it reading like a form letter.

  3. Listing copy at scale, on brand

    Forty unit descriptions that sound like your brand instead of like every other lease-up.

  4. Thirty ad variants in one pass

    Feeding the machine enough creative to actually learn something, without writing thirty times.

  5. The competitive shop in twenty minutes

    Six comp websites into one page your regional will actually read.

  6. Turn one market report into a month of content

    The repurposing pass: one source document, a newsletter, six social posts, a leasing talking point.

Track 3 · 4 lessons · 39 min

Build your own AI systems

Stop retyping context. Build assistants that already know your portfolio, your brand, and your numbers.

  1. Build an assistant that knows your portfolio

    A custom GPT or Claude Project loaded with your communities, your pricing, and your voice.

  2. Your brand voice as a reusable asset

    How to describe how you write so precisely that anything generated sounds like you wrote it.

  3. Connect AI to your actual data

    Rent rolls, ILS exports, ad reports. Getting real numbers in front of the model safely.

  4. Build a tool your whole team uses

    The step from personal trick to department capability, and why most attempts stall there.

Track 4 · 4 lessons · 39 min

Systems that run without you

The step past prompting: agents and workflows that do the work while you are in a property tour.

  1. When a workflow beats a prompt

    The test: does this happen on a schedule, or when you remember? Only one is worth building.

  2. Your first agent: review alerts

    A working build that watches every property's reviews and drafts the response for you to approve.

  3. The content engine: one input, many outputs

    The pattern behind every AI content operation worth copying, including this one.

  4. Watch your competitors automatically

    Concessions, pricing moves and new lease-ups, in your inbox, without you checking.

On completion

A certificate you can actually put somewhere.

Mark each lesson complete as you go. Finish all 18 and you can claim a certificate with your name on it, at its own page, which anyone you send it to can open and read.

Start the first lesson