Combining CoreLogic Data with LLM Commentary for Vendor Reports.
Combining CoreLogic Data with LLM Commentary for Vendor Reports
Using CoreLogic’s trusted property numbers together with a large-language model (LLM) like ChatGPT lets you give sellers easy-to-read market stories, not just raw tables.
The AI spots patterns fast, then explains them in plain words. Your vendors get a clear picture of why your price guide and strategy make sense.
What CoreLogic Data Brings to the Table.
Hard facts – recent sales, median prices, days on market, rental yields
Regular updates – suburb and postcode data refreshed daily
Deep angles – growth charts, heat maps, demographics, and supply trends
These numbers build rock-solid trust. But on their own they can feel cold and confusing.
How LLM Commentary Adds Colour.
Turns stats into stories – “Prices climbed 6 % this quarter after three flat months.”
Highlights drivers – “New infrastructure and tight rental stock are lifting demand.”
Frames next steps – “Listing before spring may catch unmet buyer demand.”
The model speaks like a human adviser, keeping sellers engaged and confident.
Step-by-Step Workflow.
Pull the data
Export suburb snapshot or property report from CoreLogic RP Data.
Clean it quickly
Drop into Google Sheets; trim any empty columns.
Feed the model
Paste key figures plus property address into ChatGPT with a clear prompt (see below).
Generate plain-English insights
Ask for bullet points, simple graphs, and suggested talking points.
Blend into your template
Use Canva Docs or Word; insert charts and commentary under your letterhead.
Review and personalise
Check numbers, tweak tone, add your local knowledge.
Deliver and store
Save as PDF, upload to CRM email the vendor, and log a note.
Sample Prompt for Your LLM.
“You are a real estate analyst. Summarise these CoreLogic numbers for 12 Smith St, Paddington 4064. Keep language Year 5 level. Include:
• 5 key market facts (numbers)
• What the numbers mean for selling in the next 90 days
• One helpful chart title and caption.”
Copy-paste the suburb stats beneath the prompt and hit Run. Always double-check the answer.
Tips for Clear, Trustworthy Reports.
Show the source – note “Data: CoreLogic RP Data, 31 July 2025” under each chart.
Use small words – aim for 12-word sentences.
Highlight trends, not noise – quarterly changes beat week-to-week spikes.
Add local colour – mention new café openings or school upgrades you have seen.
Invite questions – finish with “Call me if anything is unclear.”
Common Pitfalls and How to Avoid Them.
| Pitfall | Quick Fix |
|---|---|
| Numbers copied incorrectly | Cross-check against original export before sending |
| Over-promising on price | Include a range and reference comparable sales |
| Robot-sounding text | Ask the LLM to “sound conversational and supportive” |
| Data privacy slip | Remove owner names and confidential notes before sharing with AI |
| Out-of-date figures | Schedule a Zapier refresh weekly, flag stale data |
Next Steps.
Trial one listing this week—time yourself from export to finished PDF.
Create a shared prompt library in Notion for the whole office.
Automate updates after you master the manual method.
Combining CoreLogic’s rock-solid data with warm, simple AI commentary turns every vendor report into a story they understand and a decision they can trust.