AI Visual Real Estate Search
Describe a desired home, generate and refine a visual concept, then search real listings for visually or structurally similar homes.
Search by what a home looks like rather than by bedroom count. Describe or sketch the house in mind, refine the generated image until it is right, then find the real listings that resemble it.
What a v1 does5 features
- A visual concept generated from a description, then refined
- Real listings matched on visual and structural similarity
- Style, light and layout as filters alongside the usual ones
- Saved concepts with alerts when something similar lists
- Neutral matching that never uses neighbourhood demographics
The market
Redfin draws about 93M monthly visitors and also earns from transactions. Consumer property search is free everywhere it currently exists, so charging a buyer $12 a month would be new.
Where these numbers come from
| Company | Earns | Reach | Source |
|---|---|---|---|
| Zillow | Monetises agents; free to buyers | 221M average monthly unique users | Model, consumer side is free |
| Redfin | Monetises transactions | ~93.2M monthly visitors | Model, consumer side is free |
| Houzz | $379.7M annual revenue | 70M+ homeowners | Independent estimate, 2026 |
Why this audience
This audience looks at property constantly, as investment and as interest, and searches it by bedroom count because that is all the portals allow. They know what they want a house to look like. Searching by that rather than by filters is the version of the tool they already wish existed.
Before it can launch
- An IDX feed agreement per MLS and NAR display rules. The Fair Housing Act is the harder one: a visual search must not become a proxy for the demographics of a neighbourhood
What it earns
Drag me Every figure recalculates as you go.
0.014% of 7.1M followers · capped at 50,000
Opens on the price this idea was costed at, $12.
1,000 paying — 0.014% of 7.1M followers — × $12 a month = $12,000 a month
Fifty thousand paying users is the ceiling every one of these pages is drawn against, not a forecast. It opens at a thousand, the bottom of the range, so the first figures you see are the modest ones. What the cap buys is comparability: the same range on every app, and the percentage of the audience it takes as the number that moves.
Is this the one for your audience?
We fund it, build it, and run it. You bring the audience and take a share of the revenue. Nothing to pay and nothing to build.