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Combining CoreLogic Data with LLM Commentary for Vendor Reports
AI spots patterns fast, then explains them in plain words.

Author – Ken Hobson.
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

  1. Pull the data

    • Export suburb snapshot or property report from CoreLogic RP Data.

  2. Clean it quickly

    • Drop into Google Sheets; trim any empty columns.

  3. Feed the model

    • Paste key figures plus property address into ChatGPT with a clear prompt (see below).

  4. Generate plain-English insights

    • Ask for bullet points, simple graphs, and suggested talking points.

  5. Blend into your template

    • Use Canva Docs or Word; insert charts and commentary under your letterhead.

  6. Review & personalise

    • Check numbers, tweak tone, add your local knowledge.

  7. Deliver & 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

PitfallQuick Fix
Numbers copied incorrectlyCross-check against original export before sending
Over-promising on priceInclude a range and reference comparable sales
Robot-sounding textAsk the LLM to “sound conversational and supportive”
Data privacy slipRemove owner names and confidential notes before sharing with AI
Out-of-date figuresSchedule a Zapier refresh weekly, flag stale data

Next Steps

  1. Trial one listing this week—time yourself from export to finished PDF.

  2. Create a shared prompt library in Notion for the whole office.

  3. 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.

 

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  • Lorem ipsum
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  • nec ullamcorper mattis,
  • pulvinar dapibus leo.
  • Lorem ipsum
  • dolor sit amet,
  • consectetur adipiscing elit. Ut
  • elit tellus, luctus
  • nec ullamcorper mattis,
  • pulvinar dapibus leo.
  • Lorem ipsum
  • dolor sit amet,
  • consectetur adipiscing elit. Ut
  • elit tellus, luctus
  • nec ullamcorper mattis,
  • pulvinar dapibus leo.
  • Lorem ipsum
  • dolor sit amet,
  • consectetur adipiscing elit. Ut
  • elit tellus, luctus
  • nec ullamcorper mattis,
  • pulvinar dapibus leo.