| <60 sec to generate a fully evidenced market report | 5 prompts to build the complete report, step by step | Daily data refresh cadence — what the AI reads from |
A market report used to mean an hour of work: pulling comparables from portals, checking listing volumes, cross-referencing sold data, writing a summary, formatting it for client use. Most agents either invest that time reluctantly, produce a report that is already partially out of date, or skip it entirely and go into the valuation on instinct.
Using Propalt AI connected to ChatGPT through the Propalt MCP server, an estate agent can produce a fully evidenced, postcode-specific market report in under 60 seconds — built from data refreshed this morning. Here is exactly how the workflow runs, step by step.
What data does Propalt give ChatGPT access to?
Before the step-by-step, it is worth being clear about the data layer. The Propalt UK property data API covers: residential sales transactions (daily-updated), lettings data, landlord ownership records and portfolio structures, EPC ratings, demographic profiles, flood risk and environmental data, broadband coverage, local school ratings, and House Price Index data. All of it is accessible through a single endpoint in OpenAPI and Markdown formats.
When this API is connected to ChatGPT via the Propalt property MCP server, your AI assistant has access to all of that data in real time. It is not summarising what it learned during training. It is reading current records for the specific postcodes you ask about.
What do you need to connect Propalt data to ChatGPT?
To connect property data to ChatGPT using Propalt, you need three things:
- A Propalt account with API access (from £49/month at propalt.ai)
- ChatGPT desktop app (or another MCP-compatible AI client such as Claude)
- The Propalt MCP server configuration — documented at docs.propalt.co.uk, setup takes under ten minutes
Once configured, the connection persists. Every session you open, your AI client has live access to Propalt's data. You do not need to re-authenticate or re-import data.
How do you build a 60-second market report step by step?
STEP 1 Define your subject property and target area
Tell the AI the property type, approximate size, and target postcode or outcode. The more precise your input, the more relevant the comparables and context it will pull.
"I am preparing for a valuation on a 3-bedroom Victorian terraced house in SW11 3. Using Propalt data, I want a market report covering the last 90 days."
STEP 2 Request your comparables
Ask for recent sold comparables filtered to the right property type and radius. Specify the time window you want — 60 to 90 days is the standard for a credible valuation comparables set.
"Pull the last 10 sold comparables for 3-bed terraced properties within 0.5 miles of SW11 3AX. Include address, sold price, sold date, floor area if available, and price per square foot."
STEP 3 Add market context
A comparables list on its own does not tell a story. Ask the AI to overlay market conditions: current stock levels, average days on market, listing-to-sale ratio, and the direction of travel over the last quarter.
"For the SW11 area, what is the current average days on market for 3-bed terraced properties? How many are currently listed versus sold in the last 90 days? Is the market tightening or softening compared to the previous quarter?"
STEP 4 Pull environmental and EPC context
For a complete report — one that holds up at survey stage and prevents late-stage surprises — include the EPC rating distribution for the street or postcode and any relevant environmental flags.
"What is the EPC profile of SW11 3? What proportion of properties are in bands A–C versus D–G? Are there any flood risk or environmental designations I should be aware of for this area?"
STEP 5 Generate the report
With all the data pulled, ask the AI to synthesise it into a formatted market report ready to share with a vendor. Specify the format — whether that is a structured email, a one-page summary, or talking points for the valuation meeting.
"Based on the comparables, market conditions, EPC data, and environmental context you have retrieved from Propalt, write a 300-word market report for SW11 3 that I can use in a valuation meeting with a vendor. Include a recommended asking price range, the key market narrative, and three data points I should lead with in the conversation."
What does the finished market report look like?
In practice, running all five prompts sequentially takes between 45 and 90 seconds — depending on how much context you add at each step. The output is a complete, evidenced market briefing that draws on current sold data, live stock levels, EPC records, and environmental flags for your specific target area.
Compare that to the manual alternative: 20 to 45 minutes, multiple tabs, and a report built from data of varying freshness. The UK property data ChatGPT integration does not replace the agent's judgement — it gives that judgement a current, accurate foundation to stand on.
"The agent who walks in with the most current, most specific local evidence wins the instruction. With this workflow, that agent is you."
How do you save and reuse the market report workflow?
Once you have run this sequence once, save the five prompts as a template. Most AI clients allow saved system prompts or custom instructions. Set Propalt as your default data source in the system prompt, specify your typical postcode areas, and the next market report takes even less time to produce.
This is the compounding advantage of building AI-powered workflows: the first run takes 60 seconds. The fiftieth run takes 20.
📌 KEY TAKEAWAY
Running all five prompts takes under 90 seconds and produces a fully evidenced, postcode-specific market report built from data refreshed this morning. The manual alternative takes 20–45 minutes. propalt.ai is built on the principle that every valuation conversation should be grounded in current, accurate local intelligence — not instinct.
Sources
—ChatGPT desktop app and custom GPT documentation, including MCP integration support — OpenAI
