ZipISA launches AI inside sales agent for real estate agents starting at $69 a month

7 hours ago
By AI, Created 12:30 UTC, Jul 09, 2026, AGP -

ZipISA has launched an AI inside sales agent that handles lead generation and local homeowner outreach for real estate agents and investors, with pricing starting at $69 a month. The company is pitching the product as a lower-cost alternative to hiring human inside sales staff in a tough housing market.

Why it matters: - ZipISA is targeting a core pain point for real estate agents: lead generation that can be hard to staff and expensive to scale. - The product is priced at $69 a month, far below the roughly $69,398 annual wage ZipRecruiter says an inside sales agent earns. - ZipISA is also framing the product as a fit for agents and investors who want a dedicated prospecting presence in one ZIP code without managing another software tool.

What happened: - ZipISA launched an AI inside sales agent built for real estate agents and investors. - The product works one ZIP code at a time for one agent. - The company says the AI agent identifies homeowner signals, opens one-to-one email conversations with local homeowners, answers basic questions and routes interested replies to the owner. - ZipISA says agents do not buy software in the usual sense. They claim a dedicated digital employee assigned to their ZIP code. - The company also says the same engine can prospect ZIP codes for off-market homes for investors.

The details: - Starter plans begin at $69 per month and include outreach to up to 50 homeowners monthly with standard support. - Pro plans begin at $149 per month and include outreach to up to 250 homeowners monthly with priority support. - Only three seats are available per plan in each ZIP code, for six total seats. - Each claimed seat raises the next seat's price by $10. - The claiming price is locked permanently. - Plans are month-to-month and can be canceled anytime. - Billing starts after a 3-day free setup period. - ZipISA says there is no dashboard to babysit and nothing to learn. - The agent steps in only when a homeowner replies. - Agents and investors can check availability and claim an AI agent at the claim page. - ZipISA's main site is zipisa.com.

Between the lines: - ZipISA is launching into a weaker market for agents, with National Association of Realtors membership down from a 2022 peak above 1.6 million to roughly 1.3 million and projected near 1.2 million by the end of 2026. - NAR data shows agents with two years' experience or less closed a median of three transactions and earned $8,100 in gross income in 2024. - NAR Chief Economist Lawrence Yun cut his 2026 home-sales growth forecast from 14% to 4%, citing mortgage rates near 6.5%. - The company is positioning speed-to-lead as a competitive edge. Research compiled by Verse.ai and iHomefinder says 78% of clients work with the first agent who responds. - The same research says responding within five minutes makes an agent 21 times more likely to qualify a lead. - The research also says the average agent takes more than 15 hours to respond and 62% of inquiries arrive outside business hours. - ZipISA's scarcity model suggests the company wants each ZIP code seat to function like a limited digital asset, not a normal subscription. - Co-founder Aaron Rafferty said the pricing is meant to make the math work for a solo agent.

What's next: - ZipISA says owners may eventually be able to rent or sell their AI agent to other agents or investors. - The company says each agent should improve over time as it learns the ZIP code it serves. - Rafferty said the first agents into a ZIP could own something that gets more capable every month. - The company is treating that future resale potential as part of the product's long-term value proposition.

The bottom line: - ZipISA is betting agents will trade a human hire for a scarce AI prospecting asset if the price is low enough and the ZIP code advantage is real.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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