Case studies
Real estate agents use RealtyLens to cut the time and cost of listing preparation. These are three of their stories.
Try RealtyLens freeper-listing vendor cost for Park & Co.
Representative customer outcometo a full floor plan, condition report, and listing copy
Representative customer outcomelisting prep from walkthrough to published
Representative customer outcomeI recorded a 4-minute walkthrough, drove back to the office, and the full package was waiting in my inbox — floor plan, condition scores, copy, everything. That has never happened before.
Maya was listing 3–4 properties per month and spending two to three days per listing coordinating floor plan photographers, writing copy, and organizing condition notes. Scheduling delays often pushed listing dates by a week or more.
She started recording a single smartphone walkthrough on the day of the seller consultation. RealtyLens processes the video while she finishes the appointment and drives back.
Maya now completes listing prep before leaving the property. Her average time from walkthrough to published listing dropped from four days to under a day.
We were paying $400 per listing for floor plans and photos. RealtyLens brought that to zero. And the condition scoring is more consistent than anything my agents were doing by hand.
Park & Co. runs a 12-agent brokerage and was spending roughly $4,800 per month on third-party floor plan vendors and photographers. Manual condition notes varied widely by agent, creating inconsistency across the portfolio.
Daniel rolled out RealtyLens to the full team and set a standard: one walkthrough video per listing, submitted before the seller consultation ends. The AI condition scores replaced the manual notes agents were keeping in various spreadsheets.
The brokerage eliminated its floor plan and photo vendor contracts. Condition scoring is now standardized across all agents, and the broker has a consistent paper trail for every listing.
I walk into every pricing conversation with hard repair-cost numbers now, not guesses. Sellers take that seriously — it changes the whole dynamic.
Sabina's biggest obstacle in listing consultations was pricing alignment with sellers. Without concrete repair-cost data, she was often in a negotiation based on opinions rather than evidence, which slowed or derailed deals.
She began running a RealtyLens walkthrough before the pricing conversation. The AI condition scores and repair-cost estimates give her specific numbers to anchor the discussion — and sellers can see the supporting detail, not just a number she invented.
Pricing conversations are shorter and more productive. Sellers are more likely to accept the recommended list price when it's backed by itemized, AI-generated repair data. Sabina's average days-on-market dropped as a result.
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