Supply the verified material yourself: your sales record, adjusted comparable sales and a costed marketing plan. Let AI turn it into a slide outline, plain-English wording and speaker notes. Then check every number and claim against its source before a seller sees a slide. The comps and pricing page deserves the most care.
A seller will remember two things from the meeting: why you chose that price and what happens in the first four weeks. Most AI deck tools, given only an address, produce handsome slides full of statistics nobody can source, which is the wrong way round. Start with the evidence, then ask for layout. Every home, price and fee below is invented for one imaginary house.
Start with an eleven-slide spine and a source for every slide
Structure matters more than design. Write the spine first, name where each slide's facts come from, and only then let AI draft wording. The table shows what you bring to each slide and what the assistant does with it.
| Slide | Facts come from | The assistant's job |
|---|---|---|
| 1. About me and how I work | Your own transaction records | Tighten your wording |
| 2. What you told me you want | The seller's answers to a pre-meeting questionnaire | Summarise them in plain words |
| 3. The market in three numbers | An MLS report with its date range and area | Explain what each number means |
| 4. Your home through a buyer's eyes | Your walk-through notes and photos | Turn notes into a features list |
| 5. Comparable sales | MLS records opened one by one | Format the table; calculate with formulas |
| 6. Price: range and recommendation | Your adjusted comps | Draft the explanation of the logic |
| 7. The first four weeks | Your real service menu and costs | Draft the timeline |
| 8. Getting the home ready | Your preparation checklist | Tailor it to the walk-through notes |
| 9. Offers and negotiation | Your process | Write it in plain steps |
| 10. Estimated net proceeds | The seller's payoff figure and your fee schedule | Lay out the sheet with formulas |
| 11. Fees, agreement and next steps | Your brokerage's approved wording | Nothing on the fee text |
Notice that the assistant never supplies a fact. It formats, explains and tightens. That division is what keeps the accuracy checks later in this tutorial short, because each figure has an owner and a source before the assistant has touched it.
The comps and pricing page, worked through for one home
The imaginary subject is a three-bedroom, two-bathroom home of 1,850 square feet with a two-car garage and its original kitchen. The agent pulls four closed sales from the last five months in the same neighbourhood, opens each MLS record to confirm the sold date and price, and rejects a fifth because it has four bedrooms and 2,150 square feet. The adjustment rates are the agent's own: $85 per square foot of size difference, $6,000 for a garage space and $10,000 for an updated kitchen. Replace them with rates your market supports.
| Comp | Size | Sold (days listed) | Sold vs list | Adjustments | Adjusted |
|---|---|---|---|---|---|
| 1 | 1,800 sq ft | $418,000 (24) | 98.4% | +$4,250 size | $422,250 |
| 2 | 1,920 sq ft | $436,000 (12) | 99.3% | -$5,950 size | $430,050 |
| 3 | 1,850 sq ft, one-car garage | $409,500 (41) | 98.7% | +$6,000 garage | $415,500 |
| 4 | 1,760 sq ft, updated kitchen | $431,000 (6) | 100.5% | +$7,650 size, -$10,000 kitchen | $428,650 |
| 5 | 2,150 sq ft, four bedrooms | $472,000 | Not used | Different product | Dropped |
The four adjusted values run from $415,500 to $430,050, with a median of $425,450 and a mean of about $424,100. Two cross-checks give the agent confidence. The four sales average about $231 a square foot, which applied to 1,850 square feet gives roughly $428,000, within 1% of the median. The sold-versus-list ratios run from 98.4% to 100.5% and average 99.2%, and the days listed run from 6 to 41, with a median of 18. Only one of the four sold above its list price, and it was the home with the updated kitchen, which is exactly the sort of detail that belongs in the speaker notes.
Use the assistant for the tedious work and keep the judgement. Paste the four rows, give it your adjustment rates and ask for the table, the median, the mean and the ratios as spreadsheet formulas. Do not ask it to find comps or to choose adjustments. What you check by hand is each MLS record, each sold date, and the sign of every adjustment (a better home than the subject is adjusted down, a worse one up). The tutorial on preparing a CMA with AI covers how to choose comps in the first place.

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Buy nowThree list prices and what each asks the seller to accept
A pricing slide that names one number invites an argument. A slide that sets out three options, each with its trade-off, turns the meeting into a decision. For the imaginary home, with a median adjusted value of $425,450, the options look like this.
| List price | Against the median adjusted value | What it asks the seller to accept |
|---|---|---|
| $439,900 | 3.4% above | The home must show better than the comps, and a price reduction may follow if early interest is thin |
| $424,900 | In line (0.1% below) | A fair-market price: timing and price are balanced, as the four comps suggest |
| $414,900 | 2.5% below | A deliberate under-pricing to attract competing offers, which are not guaranteed and may not exceed list |
The recommendation goes beneath the table, in words the seller can repeat to their family: "Based on four sales in the last five months, adjusted for size, garage and kitchen, I put the value between $415,500 and $430,000. I recommend listing at $424,900. If speed matters most, $414,900; if you would rather test the market, $439,900, knowing a reduction may follow." Nothing in that paragraph promises a result. It reports evidence, names the trade-offs and leaves the decision with the seller.
Ask the assistant to draft this paragraph from your table and then read it for promises. Words such as "will sell", "guaranteed" and "certain" come out. So do any figures that are not in the table, because assistants like to add a plausible average days-on-market of their own.
The net proceeds slide: the page sellers check twice
Sellers study the net sheet more closely than the comps, because it tells them what they will walk away with. It is also the slide where an arithmetic or sign error does the most damage. Here is the imaginary sheet at an expected sale price of $420,000, which is 98.8% of the recommended list price and a little more cautious than the 99.2% average of the comps.
| Line | Amount | Where the figure comes from |
|---|---|---|
| Expected sale price | $420,000 | Your pricing logic, rounded down |
| Mortgage payoff | -$186,500 | The seller's payoff letter |
| Your fee | -$21,000 | Your listing agreement |
| Title, escrow and closing fees | -$5,040 | The closing company's estimate |
| Repair credit | -$2,500 | An assumption about inspection results |
| Property tax proration | -$1,150 | Calculated for the expected closing date |
| Estimated net | $203,810 | Sum of the lines above |
The fee line is whatever your agreement says, so the sheet should use your figure or formula rather than anything the assistant suggests. Fees, taxes and customs differ by place, so ask the closing company for its estimate, and label the slide an estimate, not a guarantee. Ask the assistant to build the sheet with formulas so you can change the sale price and watch every dependent line move, and check each sign yourself. A property tax proration, for example, can be a credit or a charge depending on whether the seller has paid ahead, and a confident-sounding assistant will pick one without asking.
A marketing plan slide that is costed, not decorated
Slide 7 is where sellers decide whether you will do the work. A plan that names dates, owners and decision points beats a page of icons. The sample timeline below is drafted from an imaginary service menu; yours will differ, and every row should match something you actually do.
| When | What happens | Who does it | What to verify |
|---|---|---|---|
| Before listing | Photography and floor plan booked, repairs agreed, listing text drafted | Agent, photographer, seller | Supplier quotes in writing; listing text checked for fair-housing wording |
| Week 1 | Goes live on the MLS and your site; first open house; email to people who have agreed to hear from you | Agent | That the email list holds only consented contacts |
| Week 2 | Showing feedback collected and shared; second open house if useful | Agent | Count real showings; don't estimate them |
| Day 14 | Agreed price review against showings and feedback | Agent and seller | The decision date is written into the plan in advance |
| Weeks 3 and 4 | Adjust marketing or price; weekly update call | Agent | Update dates in your calendar before the meeting ends |
The assistant is useful for turning your bullet list into this table and for writing the seller-facing wording. It is also where over-enthusiasm creeps in. Asked to "make the plan impressive", an assistant may add drone video, premium portal placement and a reach of 50,000 buyers. If you offer neither service and cannot source the audience figure, those lines make promises you cannot keep. Give it the rule: "List only services in this menu. No reach, view or ranking claims." The four-week content plan tutorial goes deeper on the social and email side, and the tutorial on AI disclosure for listing photos and copy covers what to say when images are edited or virtually staged.
Prompts that keep the assistant on the evidence
Drafting slides from the verified rows works best when the prompt forbids invention and asks the assistant to say what it was missing. A short, strict prompt beats a long creative one.
Draft slides 5 and 6 of a seller listing presentation. Use only the data below.
Do not add statistics, rankings, averages, reach figures or claims about the
area or the people who live there.
For each slide give: a title of 8 words at most, three bullets at most, a
one-sentence "so what" for the seller, and speaker notes of about 80 words in
plain, calm English.
Finish with a list headed NEEDED BUT NOT GIVEN, naming anything you wanted
and did not have.
Data: [paste the comps table and the three price options]
An invented but typical draft for slide 6 looks like this, and it needs fixing in three places.
Slide 6, "Pricing: three options". Bullets: value range $415,500 to $430,050; recommended list price $424,900; alternatives $414,900 or $439,900. So what: the price you choose decides who sees your home first. Speaker notes: "Homes in this family-friendly neighbourhood usually sell within 14 days, so a fair price matters. Our four comparable sales support a range of about $415,000 to $430,000..."
Three edits are needed. "Family-friendly neighbourhood" goes, because it describes the people who might live there and invites a fair-housing problem; the tutorial on neighbourhood pages that avoid steering explains why. "Usually sell within 14 days" goes too, because the data show 6 to 41 days with a median of 18, and the 14 came from nowhere. The "so what" line becomes "each option trades price against speed", which the table actually supports. The NEEDED BUT NOT GIVEN list is worth keeping: when it asks for local market statistics, you get a prompt to pull the real MLS figure instead of letting the assistant guess one. The same approach works for slide 3, where the market update tutorial shows how to verify each figure.
Choosing where to build the deck
The tool matters less than the spine and the sources, and the best choice is usually the one you already pay for. This table lists the realistic options with what could be verified about each; prices change often, so check the vendor's page before you commit.
| Option | What is known | Watch-outs |
|---|---|---|
| Your brokerage's template | Brand, disclosures and fee wording are already approved | Fill it with AI-drafted text; don't let a tool redesign it |
| PowerPoint with Copilot | Microsoft's documentation (updated 28 October 2026) says Copilot in PowerPoint can create presentations from prompts or existing content, with standard access on the Basic tier and priority access with the add-on licence. Microsoft's Copilot Business page did not display prices when checked in November 2026 | Check which Copilot access your licence gives you, and get the add-on price from Microsoft or your reseller |
| Google Slides with Gemini | Gemini is built into Google Workspace plans from Standard upwards, across Docs, Sheets and Slides | Personal accounts and lower plans differ; check yours |
| Canva | AI features run on a plan-based allowance: Pro ($144 a year for one person) gets ten times the Free plan's AI and Business ($250 a year per person) twenty times. Brand Kits hold your colours and fonts (Free allows one, limited to three colours) | Allowances have changed recently, so read the pricing page first |
| Gamma | Builds a deck from a prompt and imports PDF or PowerPoint files. Free gives 400 one-off credits and up to 10 slides per prompt; Plus is $9 and Pro $18 a seat a month billed annually; export to PowerPoint, PDF and Google Slides is listed | Check its data settings before pasting seller details; the Gamma plans tutorial compares the plans |
| Beautiful.ai | Pro is $14.50 a month billed annually, Team $40 a user a month billed annually ($50 monthly); no free plan; a 14-day trial needs a card; PowerPoint import and export are listed (vendor pricing page, November 2026) | Check the cancel-before-trial-ends rule |
A simple decision rule works for most agents. If your brokerage supplies a listing presentation template, build inside it and use AI only for the words. If it does not, choose the tool you already have a licence for, because a new subscription and a new interface add cost without improving the evidence. Reach for a dedicated AI deck builder only when design is a genuine bottleneck, and test the export to PowerPoint or PDF with a real deck before you rely on it, since a layout that looks perfect on screen can shift when exported.
Accuracy checks before the seller sees a slide
Print the deck and go through it with a pen, writing the source page for every number in the margin. These are the claims that most often need correcting, with the check for each.
| What the slide claims | How to check it | A failure to expect |
|---|---|---|
| A market statistic | Open the MLS report; confirm area, date range and whether it is a median or an average | "Sells in 14 days" taken from a wider area or an older period |
| A comparable sale | Open each MLS record; confirm it is closed, not pending, and check the date and price | A pending sale used as a sold comp |
| An adjusted value | Recompute in a spreadsheet; check the sign of every adjustment | A better home adjusted up instead of down |
| Your track record | Run your own transaction report for a stated period | A round number, or a "top agent" claim with no dated, sourced ranking behind it |
| Any promise of speed or price | Delete it; show the comps instead | "We'll have it sold in a week" |
| Neighbourhood wording | Read it for descriptions of people; keep to facts about the property and nearby amenities | "Family-friendly", "safe", "perfect for professionals" |
| Edited or AI-generated images | Label them; compare with the unedited photos | A virtually staged room shown without a label |
| Fee and agreement wording | Use the brokerage's approved text only | An assistant paraphrasing a clause |
| Net proceeds | Get the closing company's estimate; label the slide an estimate | A sign error on a proration |
Keep a source file for each presentation: one folder holding the MLS reports, the payoff letter, the closing estimate and your transaction report. If a seller or your broker asks where a figure came from, the answer takes ten seconds. The folder also makes the next listing quicker, because the market and track-record slides need only an update.
Speaker notes and the questions sellers always ask
With the slides settled, ask the assistant for speaker notes in your voice. Paste a paragraph you have written yourself so it has something to match, and tell it to keep each slide's notes to about 80 words. Then ask for the questions sellers tend to ask, each with an answer scaffold that points back to a slide, so you can practise out loud.
- "Why not list higher?" Slide 6: the comps and the three options, including what a higher price asks the seller to accept.
- "What if it doesn't sell?" Slide 7: the day-14 price review, agreed in advance.
- "How will you find buyers?" Slide 7: the services you actually provide, in the order they happen.
- "What will I walk away with?" Slide 10: the estimate, and who produced each line.
- "Why that fee?" Slide 11: your agreement's wording, read aloud, never improvised.
The notes are practice material, not a script to read. Run through the deck twice with the assistant playing a hesitant seller, then once on your own. The aim is a deck in which every number has a source, every option has a trade-off and every promise has been deleted, so the seller is deciding on evidence rather than on polish.
Questions agents ask about AI-built listing decks
Can AI choose my comparable sales?
It should not. Comparable sales come from your MLS records, opened one by one, with sold dates and prices checked. An assistant can format the table, compute price per square foot and ratios with formulas, and explain adjustments you chose. If it supplies comps of its own, treat them as invented until you find each in the MLS.
Should the deck state an expected sale price?
Show a value range with its evidence, a recommended list price and the trade-offs of each option, and say plainly that the market decides the sale price. Avoid promises such as a specific price or days on market. The seller chooses the list price, and your comps explain why you recommend the one you do.
What about AI-generated images in a seller deck?
Label any AI-generated or edited property imagery clearly, and never use it to suggest condition, views or features the home does not have. Check your MLS and brokerage rules on virtual staging before using such images in marketing, and keep unedited photos available for the seller to compare.
Can I paste the seller's details into an assistant?
Use the tool your brokerage has approved, and give it only what the slide needs. Names, loan balances and contact details are rarely required for wording help. Business plans such as ChatGPT Business or Claude Team don't train on business content by default, but your brokerage's policy still decides what may be uploaded.
Further reads
- AI Real Estate Video From Photos: What It Costs and What to Disclose — Costs and disclosures for listing video built from photos.
- Can ChatGPT Write Real Estate Listings That Pass Fair Housing? — Write the listing text that follows the presentation.
- How to Write a Sales Deck With AI That Wins Meetings — General rules for sales decks that hold a room.
- Beautiful.ai Review: Client Decks vs PowerPoint Copilot and Gamma — A closer look at one AI deck builder.
- AI Sales Role-Play for Solo Real Estate Agents: Free Tools Compared — Rehearse the pitch out loud before the meeting.
- Best Home Staging AI Apps: How to Compare Them on Your Own Rooms — The five rooms to test, a scoring sheet, verified prices per image for five staging apps and labelling wording that keeps listings honest.
- Rechat AI for Brokerages: What Lucy Does and What It Costs — Lucy's features from Rechat's own help pages, the pricing Rechat does not publish, and a 30-day pilot plan for a ten-agent office.
- Open House Sign-In Sheet With AI: Follow-Up Within the Hour — A printable sign-in sheet, consent wording, buyer-type message templates and a 60-minute plan for personal follow-up after every open house.
- AI Tools and AI Development: The Complete 2026 Guide — the AI hub, including every tutorial in the AI-for-business series.
Sources: Microsoft Learn's Copilot overview (updated 28 October 2026), and the pricing pages of Google Workspace, Canva, Gamma, Beautiful.ai, ChatGPT Business and Claude, all checked November 2026. Every home, price, fee and cost in the examples is invented for illustration.