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Realtors & brokerage teams9 min read

How Realtors Use Oxygen on MLS Exports for Comp Reports and Buyer Profiles

Your MLS already holds the inventory story. The gap is synthesis: turning downloads into a clear CMA, a buyer brief, or a listing narrative before the next showing. Oxygen is a local agent studio — upload the export, let AI parse it into your private corpus, then ask for reports you can actually send.

The realtor workflow: download → load → ask

Most MLS systems let you export search results as CSV, Excel, or PDF packets. That file is usually enough to start a serious analysis session in Oxygen:

  1. Run your saved search or CMA pull in the MLS and download the export.
  2. Drop the file into Oxygen. The proprietary local storage layer parses listings, prices, days on market, beds/baths, and notes on-device.
  3. Chat or run a Studio agent: “Build a 6-comp CMA for 412 Maple with adjustments for lot size and garage.”
  4. Iterate: buyer profile, neighborhood brief, open-house talking points, or a seller update memo.

What to generate from MLS data

  • Comparable sales tables with notes on condition, renovations, and outliers.
  • Buyer profiles from wish-lists, tour notes, and rejected listings (“wants light, hates HOA, max commute 25 minutes”).
  • Listing prep briefs: feature hierarchy, objection handling, and photo/story gaps.
  • Market pulse one-pagers for a ZIP or school district after each weekly export.
  • Seller updates that cite inventory, DOM trends, and price-cut patterns from your pull.

Because Oxygen treats your upload as the source of truth, answers can stay grounded in the rows you actually downloaded — not a generic “market is hot” summary.

Buyer profiles that survive the next showing

Great agents already keep notes. AI helps you compress those notes into a living profile: must-haves, deal-breakers, financing constraints, and emotional drivers. Load tour sheets, email threads you export, and the MLS shortlist, then ask for a profile you can share with a co-listing partner or buyer’s agent team.

Example prompts: “Summarize why this buyer passed on the last three listings.” “Rank tomorrow’s showings against their profile.” “Draft a text update that references only facts in the MLS export.”

Compliance-minded habits

  • Follow your MLS terms for download, storage, and redistribution of listing data.
  • Strip or avoid uploading credentials; export data files only.
  • Treat AI drafts as drafts — verify prices, status, and disclosures before client delivery.
  • Prefer local-first analysis when packets include private remarks or client PII.

FAQ

Can I analyze MLS CSV or Excel downloads with AI?
Yes. Export from your MLS, upload into Oxygen, and ask for CMAs, comps, buyer profiles, or market briefs grounded in that file.
Does my listing data leave my computer?
Corpus files stay on your machine in the local data plane. Optional hosted LLM calls send prompts to the model gateway you enable — not a public chat history.
Is this a replacement for the MLS?
No. Oxygen does not replace your MLS. It helps you synthesize the exports and notes you already pull for client work.