Real Estate Specialist
How to Write a Market Update Report Your Clients Will Actually Read (Using AI)
Market update reports are one of the most valuable things an agent can send — and one of the most ignored. Not because clients don’t care about the market, but because most reports are dense, jargon-heavy, and feel like they were written for another agent rather than a real person. AI doesn’t change the data. It changes how the data reads. In 20 minutes, you can turn a column of statistics into a report a vendor actually forwards to their spouse.
Why Most Market Reports Fail
Most agents either don’t send them at all — too time-consuming to write — or they send raw data with no interpretation: median prices, days on market, clearance rates, no context. A third group sends the same templated paragraph every month, word-for-word.
What vendors and buyers actually want is not data. It’s context, confidence, and clarity. They want to know: what does this mean for me?
AI’s particular superpower here is turning numbers into narrative — interpreting data the way a good journalist would, in plain language, for a non-expert reader. You collect the data. AI translates it into something a vendor can understand over breakfast.
The compliance note comes first: AI cannot pull the data. That’s your job. CoreLogic, RP Data, REI Institute reports, your own agency’s sales records — the numbers come from you. AI turns your data into copy. Always verify figures before sending, and never frame market update content as professional financial advice.
Part 1: Gather the Data First
Before any AI prompt, compile the inputs. A good suburb market report needs:
- Median house / unit price this quarter vs last quarter vs same quarter last year
- Median days on market — current vs 12 months ago
- Clearance rate (if an auction market — current month vs last month)
- Total listings vs total sales for the period
- One or two specific comparable sales — address, price, brief description
- Contextual notes — any interest rate movement, government policy update, or local development news worth mentioning
This data-gathering takes 10–15 minutes with a CoreLogic or RP Data subscription. Once you have the numbers, the AI does the rest quickly.
Part 2: The Core Market Report Prompt
You are a real estate agent writing a monthly market update report
for clients in [suburb], [state].
Here is the market data for this month:
- Median house price: $[X] (up/down [%] from last quarter,
up/down [%] year-on-year)
- Median days on market: [X] days ([X] days same time last year)
- Clearance rate: [X]% ([X]% last month)
- Total properties listed: [X] | Total sold: [X]
- Notable recent sale: [address] — [brief description] sold for $[X]
- Context: [any relevant news — e.g., "RBA held rates steady this month"]
Write a market update report suitable for sending to property vendors
and buyers.
Tone: professional but accessible — a knowledgeable friend who
understands the market, not a data report.
Structure: 3 short paragraphs.
Paragraph 1: What the data tells us about the current market.
Paragraph 2: What this means for sellers right now.
Paragraph 3: What this means for buyers right now.
End with one forward-looking sentence about what to watch in
the next 90 days.
Under 250 words total.A realistic filled-in example for a fictional but plausible scenario: Balmain, NSW, Q3 data.
Inputs: Median house price $2.1m (up 3.2% from last quarter, up 7.8% year-on-year). Median days on market 28 days (38 days same time last year). Clearance rate 74% (68% last month). Listed: 42. Sold: 31. Notable sale: 18 Thornton St, 4-bed terrace, sold for $2.35m. Context: RBA held cash rate at 4.35%.
The AI output transforms those numbers into:
The Balmain market has found its confidence. Properties are selling in 28 days on average — 10 days faster than this time last year — and clearance rates have climbed to 74%, the strongest result in four months. 18 Thornton Street’s $2.35m result last week is a useful benchmark: well-presented terraces are finding strong competition at the top of their range.
For sellers, conditions favour those ready to act. Buyers are motivated and pre-approved, and the combination of low stock and rising clearance rates suggests pricing your property correctly from day one will attract serious competition rather than extended days on market.
Buyers face a more competitive environment than six months ago, but rate stability has helped confidence return. Those ready to move quickly are best placed to avoid the frustration of missing out on well-priced stock.
Watch the next RBA decision in November — any movement will likely shift sentiment quickly in either direction.
The same numbers that looked like a spreadsheet now read like a market briefing from a trusted advisor. That’s what clients forward to each other.
Part 3: The Personalised Vendor Update
Beyond the general suburb report, the individual vendor update is where AI adds the most value. Most agents skip it because it takes too long to write. With AI: five minutes.
Write a personalised market update for a vendor whose property at
[address] has been listed for [X] weeks at $[price].
The current suburb market data shows: [brief context — paste relevant
figures from your suburb report, e.g., "days on market have increased
from 22 to 34 days and clearance rates have softened to 61%"].
The vendor is [describe their emotional state or concern — e.g.,
"starting to feel anxious after 5 weeks with limited feedback" /
"comparing to a neighbour's recent sale that came in higher"].
Tone: honest, supportive, forward-looking. Address what the data
means for their listing specifically. Avoid generic phrases.
Under 150 words.
Do not include a price adjustment recommendation — I'll deliver
that conversation in person.That last instruction matters. Without it, AI will suggest a price adjustment. That conversation happens face to face, not in a text message — and it shouldn’t be drafted by a language model. The email primes the conversation; you have it.
A realistic output reads like the agent wrote it knowing the vendor: it acknowledges the market context, validates their situation, and sets the tone for whatever follow-up conversation is coming.
Part 4: The Buyer Market Snapshot
For buyer clients — shorter, different angle. Buyers want to know if now is the right time to buy, and what conditions mean for their specific budget.
Write a short market snapshot for a buyer looking in [suburb]
with a budget of approximately $[range].
Current market data: [paste the relevant figures].
Tone: honest about conditions — don't oversell the opportunity
or catastrophise. Two short paragraphs.
Paragraph 1: What they should know about the current market.
Paragraph 2: What it means for their buying timeline.
Under 100 words.Buyers are frequently overwhelmed by information. Short is better. AI will go long if you don’t specify the word limit — use it.
The Efficiency Reality
Here’s the honest time breakdown for all three report types in one session:
- Gather market data: 10–15 minutes
- Run prompts and review: 8–10 minutes
- Personalise, add names and specific details, send: 5 minutes
- Total: 25–30 minutes
Before AI, writing all three meant an hour minimum — which is why most agents skipped at least two of them. The clients who get all three are the vendors who feel looked after. They’re also the vendors who don’t switch agents when the market softens and doubt creeps in.
Download the Market Report Template
🎁 Free Download: AI Market Update Report Template
Three fill-in-the-blanks prompt templates — suburb report, personalised vendor update, and buyer snapshot — plus a data collection worksheet and 6 email subject line options. Done in 25 minutes, looks like you spent two hours.
[Download the free template →]