textrealtor.com · Premium domain for sale
Text a realtor, get answers and a better deal.
People already text their agents about every showing and offer, and US brokers' commissions reached $179.6B in 2025.
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Five business models for textrealtor.com
Each model works on its own. Together they cover the consumer, the agent and the brokerage. Commission-based models assume a licensed brokerage partner where state law requires one.
- Model 1AI chatbot
Text Realtor AI
A text and chat assistant for anyone buying or selling a home. It helps people do three things: 1) get an instant home value and recent comps by texting an address, 2) see what they can afford, with a monthly payment estimate at today's rates, and 3) decode a listing, disclosure or inspection report by snapping a photo.
Makes money: Consumer subscriptions (Pro plan with unlimited reports and alerts), CPC ads from lenders, inspectors and movers, and CPL offers that pay per qualified lead.
Who pays: Consumers pay for Pro; advertisers and lead buyers pay for clicks and leads.
- Model 2Agent auction
Agent Auction
Sellers text an address and the AI invites three or more top local agents to bid: commission rate, marketing plan and track record. The LLM negotiates on the seller's behalf, then books the listing appointment. Buyers can run the same auction for a buyer's agent or a rebate. Think Priceline or Thumbtack for listing agents.
Makes money: A referral fee of 25% of the winning agent's side of the commission, paid at closing through a licensed brokerage partner.
Who pays: The winning agent pays at closing. Sellers and buyers pay nothing to use it.
- Model 3Agent front desk
TextFrontDesk for Agents
An AI text receptionist for agents and teams. It answers every sign call, portal inquiry and open house lead in seconds, 24/7, qualifies buyers, books showings into the agent's calendar and follows up until they reply. Agents stop losing leads that arrive at 10pm.
Makes money: B2B SaaS subscription at $125 per agent per month, with team and brokerage tiers.
Who pays: Agents, teams and brokerages.
- Model 4Move marketplace
Move and Money Marketplace
Once a deal is under contract, the same text thread lines up everything else: homeowners insurance quotes, movers, utilities, home warranty and mortgage rate shopping through licensed partners. One thread, every vendor, compared side by side.
Makes money: Flat marketing fees and affiliate payouts from insurers, movers and home service brands. Settlement service partners pay flat advertising fees, structured to comply with RESPA.
Who pays: Insurance carriers, moving companies, home warranty and utility partners.
- Model 5API and data
Text Signals API and Data
A white-label SMS and AI API so brokerages, portals and builders can run the same text experience under their own brand. Plus a demand dashboard: what buyers in each zip are asking about, by price band, before it shows up in sales data.
Makes money: Annual enterprise licenses billed at $2,500 per month per account, plus usage overages.
Who pays: Brokerages, portals, home builders and mortgage lenders.
How you drive traffic
Competitive analysis
Who already makes money in this vertical, how much capital they raised, and how much traffic they draw. Most of them sell leads or software to agents. None of them is a consumer texting brand.
| Company | What they do | Funding | Traffic |
|---|---|---|---|
| Zillow | The largest home search portal by visits on this list. Makes most of its money selling buyer leads to agents through Premier Agent. | Public company (Nasdaq: Z). Raised $96.6M before its IPO; investors include Benchmark and TCV. Source: Crunchbase [1]. | About 124.3M monthly web visits. Source: Semrush via Crunchbase [1]. |
| Redfin | Brokerage with its own home search site and salaried agents. Now part of Rocket Companies, which pairs it with Rocket Mortgage. | Raised $569.6M before being acquired; investors include Madrona, Tiger Global and Dragoneer. Rocket Companies completed an all-stock acquisition valued at $1.75B on July 1, 2025. Source: Crunchbase [4], Rocket press release [2], Paul, Weiss deal note [3]. | About 42.4M monthly web visits. Source: Semrush via Crunchbase [4]. |
| Compass | Agent-centric brokerage that gives its agents an in-house software platform for marketing, CRM and listings. | Public company (NYSE: COMP). $2.61B total raised; investors include Founders Fund, IVP, Dragoneer and Wellington Management. Source: Crunchbase [5]. | About 7.9M monthly web visits. Source: Semrush via Crunchbase [5]. |
| Opendoor | iBuyer that makes instant cash offers on homes, then resells them. | Public company (Nasdaq: OPEN). $3.22B total raised including debt; investors include Andreessen Horowitz, Khosla Ventures, Norwest and General Atlantic. Source: Crunchbase [6]. | About 1.75M monthly web visits. Source: Semrush via Crunchbase [6]. |
| HomeLight | Matches home sellers with agents using transaction data and earns a referral fee, plus cash offer and closing services. The closest analog to the agent auction model here. | $802.5M total raised across 15 rounds, including debt; latest round was debt financing in April 2026. Investors include Menlo Ventures, BlackRock, Zeev Ventures and 500 Global. Source: Crunchbase [7]. | About 1.07M monthly web visits. Source: Semrush via Crunchbase [7]. |
| Flyhomes | Brokerage for buyers that pairs AI home search with cash offer and buy-before-you-sell programs. | $325M total raised; latest round listed as Series D (July 2025). Investors include Andreessen Horowitz, Norwest, Battery Ventures and Fifth Wall. Source: Crunchbase [8]. | About 28K monthly web visits. Source: Semrush via Crunchbase [8]. |
| Clever Real Estate | Matches sellers with local agents who have pre-negotiated lower listing fees, and earns a referral fee from the agent. | $15.2M total raised; investors include Cultivation Capital, Arch Grants and Capital Innovators. Source: Crunchbase [9]. | About 256K monthly web visits. Source: Semrush via Crunchbase [9]. |
| Ylopo | AI marketing and lead-nurture platform for agents, including automated text and voice follow up. | Amount not disclosed. Investors include Second Century Ventures (the venture arm of the National Association of REALTORS), REACH and Move. Source: Crunchbase [10]. | About 173K monthly web visits. Source: Semrush via Crunchbase [10]. |
| Lofty | AI-powered CRM, lead generation and marketing platform for agents and teams. | No funding rounds listed on Crunchbase. Source: Crunchbase [11]. | About 813K monthly web visits. Source: Semrush via Crunchbase [11]. |
Where a text-first entrant wins. The portals (Zillow, Redfin, Compass) are built around search pages and apps and earn from the agents they would have to rank in an open auction. HomeLight and Clever match agents through web forms and call centers. Ylopo and Lofty sell texting to agents, not to consumers. That leaves the consumer's first text unowned. A text-first brand can catch intent at the moment it happens (an address texted from a yard sign), run a transparent agent auction that a portal cannot run without upsetting its paying customers, and then sell the same text engine back to agents as software. The name is the instruction: text a realtor.
Total Addressable Market (TAM)
How a VC analyst would size it: a top-down view of what the industry spends, a bottom-up build of the five revenue pools these models can actually reach, and the share the projection needs.
Top-down: what the industry spends today
| Measure | Value | Source |
|---|---|---|
| US brokers' commissions and related transfer costs, 2025 | $179.6B | BEA via FRED, series A758RC1A027NBEA [12] |
| US existing-home sales, 2025 | 4.06M homes | Realtor.com Economic Research (NAR data) [13] |
| National Association of REALTORS paid members, end of Q3 2026 | 1,469,127 | HousingWire [14] |
Bottom-up: units x price for each business model
| Revenue pool (model) | Units and basis | Units | Price per unit per year | Pool size | Year-5 projection | Share of pool |
|---|---|---|---|---|---|---|
| Consumer chatbot (Text Realtor AI) | 4.06M existing-home sales x 2 sides (one buyer and one seller household per sale, assumption) at $24 per user per year, the same $2 a month used in the projection. Sales source [13]. | 8,120,000 | $24 | $195M | $36.0M | 18.5% |
| Agent auction referral fees | 4.06M existing-home sales x $2,500 referral fee ($400K home, 2.5% side commission, 25% referral; assumption). Sales source [13]. | 4,060,000 | $2,500 | $10.2B | $30.0M | 0.3% |
| Agent front desk SaaS | 1,469,127 NAR members x $125 a month. Membership source [14]. | 1,469,127 | $1,500 | $2.2B | $30.0M | 1.4% |
| Move and money marketplace | 4.06M moving households (one per sale, assumption) x $180 in partner fees, once per move. Sales source [13]. | 4,060,000 | $180 | $731M | $18.0M | 2.5% |
| Text API and data licenses | 10,000 brokerages, portals, builders and lenders (assumption) x $30,000 a year. | 10,000 | $30,000 | $300M | $9.0M | 3.0% |
| SAM total | Sum of the five pools | $13.6B | $123.0M | 0.9% |
Reconciliation: a $100M run-rate is 0.7% of the bottom-up SAM, and the quarter 20 run-rate is 0.9%. The biggest pool by far is agent referral fees, where the projection needs only 12,000 closings a year, about 0.3% of US existing-home sales. That is the core of the case: the plan does not need to win the market, it needs a fraction of one percent of a $179.6B commission pool.
Path to $100M in revenue
Illustrative projections, not forecasts. Each model is a simple driver times a price. Drivers ramp on an S-curve over 20 quarters (5 years). Cost is set at 20% of revenue to maintain and build; profit is the other 80%. The assumptions are below so you can change them.
Combined revenue crosses a $100M annual run-rate in Y4 Q2 (quarter 14), at $25,828.5K that quarter ($103.3M annualized). By quarter 20 the run-rate is $123.0M. Five-year totals: revenue $309.3M, cost $61.9M, profit $247.4M.
Annual totals
| Year | AI chatbot | Agent auction | Agent front desk | Move marketplace | API and data | Revenue | Cost (20%) | Profit (80%) |
|---|---|---|---|---|---|---|---|---|
| Year 1 | $1,452.0K | $370.0K | $600.0K | $139.5K | $22.5K | $2,584.0K | $516.8K | $2,067.2K |
| Year 2 | $8,833.5K | $3,112.5K | $4,711.5K | $1,201.5K | $285.0K | $18,144.0K | $3,628.8K | $14,515.2K |
| Year 3 | $23,491.5K | $13,350.0K | $16,756.5K | $6,061.5K | $2,002.5K | $61,662.0K | $12,332.4K | $49,329.6K |
| Year 4 | $33,112.5K | $25,410.0K | $26,973.0K | $13,977.0K | $6,255.0K | $105,727.5K | $21,145.5K | $84,582.0K |
| Year 5 | $35,691.0K | $29,530.0K | $29,709.0K | $17,545.5K | $8,692.5K | $121,168.0K | $24,233.6K | $96,934.4K |
| 5-year total | $102,580.5K | $71,772.5K | $78,750.0K | $38,925.0K | $17,257.5K | $309,285.5K | $61,857.1K | $247,428.4K |
Quarterly revenue, cost and profit (all 20 quarters)
| Quarter | AI chatbot | Agent auction | Agent front desk | Move marketplace | API and data | Revenue | Cost (20%) | Profit (80%) | Annual run-rate |
|---|---|---|---|---|---|---|---|---|---|
| Y1 Q1 | $87.0K | $20.0K | $33.0K | $9.0K | $0.0K | $149.0K | $29.8K | $119.2K | $0.6M |
| Y1 Q2 | $220.5K | $52.5K | $85.5K | $18.0K | $0.0K | $376.5K | $75.3K | $301.2K | $1.5M |
| Y1 Q3 | $423.0K | $105.0K | $172.5K | $40.5K | $7.5K | $748.5K | $149.7K | $598.8K | $3.0M |
| Y1 Q4 | $721.5K | $192.5K | $309.0K | $72.0K | $15.0K | $1,310.0K | $262.0K | $1,048.0K | $5.2M |
| Y2 Q1 | $1,150.5K | $330.0K | $526.5K | $121.5K | $22.5K | $2,151.0K | $430.2K | $1,720.8K | $8.6M |
| Y2 Q2 | $1,741.5K | $547.5K | $855.0K | $207.0K | $45.0K | $3,396.0K | $679.2K | $2,716.8K | $13.6M |
| Y2 Q3 | $2,508.0K | $877.5K | $1,336.5K | $337.5K | $82.5K | $5,142.0K | $1,028.4K | $4,113.6K | $20.6M |
| Y2 Q4 | $3,433.5K | $1,357.5K | $1,993.5K | $535.5K | $135.0K | $7,455.0K | $1,491.0K | $5,964.0K | $29.8M |
| Y3 Q1 | $4,453.5K | $2,017.5K | $2,818.5K | $828.0K | $225.0K | $10,342.5K | $2,068.5K | $8,274.0K | $41.4M |
| Y3 Q2 | $5,473.5K | $2,845.0K | $3,750.0K | $1,224.0K | $367.5K | $13,660.0K | $2,732.0K | $10,928.0K | $54.6M |
| Y3 Q3 | $6,399.0K | $3,777.5K | $4,681.5K | $1,723.5K | $570.0K | $17,151.5K | $3,430.3K | $13,721.2K | $68.6M |
| Y3 Q4 | $7,165.5K | $4,710.0K | $5,506.5K | $2,286.0K | $840.0K | $20,508.0K | $4,101.6K | $16,406.4K | $82.0M |
| Y4 Q1 | $7,756.5K | $5,535.0K | $6,163.5K | $2,848.5K | $1,147.5K | $23,451.0K | $4,690.2K | $18,760.8K | $93.8M |
| Y4 Q2 | $8,185.5K | $6,195.0K | $6,645.0K | $3,348.0K | $1,455.0K | $25,828.5K | $5,165.7K | $20,662.8K | $103.3M |
| Y4 Q3 | $8,484.0K | $6,675.0K | $6,973.5K | $3,744.0K | $1,725.0K | $27,601.5K | $5,520.3K | $22,081.2K | $110.4M |
| Y4 Q4 | $8,686.5K | $7,005.0K | $7,191.0K | $4,036.5K | $1,927.5K | $28,846.5K | $5,769.3K | $23,077.2K | $115.4M |
| Y5 Q1 | $8,820.0K | $7,222.5K | $7,327.5K | $4,234.5K | $2,070.0K | $29,674.5K | $5,934.9K | $23,739.6K | $118.7M |
| Y5 Q2 | $8,907.0K | $7,360.0K | $7,414.5K | $4,365.0K | $2,160.0K | $30,206.5K | $6,041.3K | $24,165.2K | $120.8M |
| Y5 Q3 | $8,964.0K | $7,447.5K | $7,467.0K | $4,446.0K | $2,212.5K | $30,537.0K | $6,107.4K | $24,429.6K | $122.1M |
| Y5 Q4 | $9,000.0K | $7,500.0K | $7,500.0K | $4,500.0K | $2,250.0K | $30,750.0K | $6,150.0K | $24,600.0K | $123.0M |
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Sources
- Zillow on Crunchbase (funding and Semrush traffic estimate)
- Redfin: Rocket press release
- Redfin: Paul, Weiss deal note
- Redfin on Crunchbase (funding and Semrush traffic estimate)
- Compass on Crunchbase (funding and Semrush traffic estimate)
- Opendoor on Crunchbase (funding and Semrush traffic estimate)
- HomeLight on Crunchbase (funding and Semrush traffic estimate)
- Flyhomes on Crunchbase (funding and Semrush traffic estimate)
- Clever Real Estate on Crunchbase (funding and Semrush traffic estimate)
- Ylopo on Crunchbase (funding and Semrush traffic estimate)
- Lofty on Crunchbase (funding and Semrush traffic estimate)
- BEA via FRED, series A758RC1A027NBEA
- Realtor.com Economic Research (NAR data)
- HousingWire
- Federal Reserve, Commissions and Omissions (2025)
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