Moderate · Real Estate

AI Agent Cost for Real Estate — $28k-$65k

Real Estate businesses typically pay $28k-$65k for a production AI agent handling lead qualification, showing scheduling, and MLS-aware property Q&A. Here's the full 2026 pricing breakdown.

GKAI Studio

Custom AI agents · US timezone overlap · Houston, TX

AI Agent Cost for Real Estate Businesses

US real estate businesses typically invest $28k-$65k for a production AI agent covering lead qualification, showing scheduling, and MLS-aware property Q&A. GKAI Studio classifies real estate as moderate complexity — timelines run 7-12 weeks depending on scope.

Real Estate AI Agent Pricing

Typical Range

$28k-$65k for a focused real estate AI agent MVP.

Timeline

7-12 weeks from discovery to production launch.

Complexity Tier

Moderate — see how this compares to other industries below.

What Drives Real Estate AI Costs

The biggest cost driver for real estate is MLS/IDX data feeds and calendar-heavy scheduling logic. Beyond that, final pricing depends on the number of integrations, whether you need voice or mobile surfaces, and how much human-in-the-loop approval logic is required before the agent can act.

  • Number of system integrations (CRM, scheduling, billing)
  • MLS/IDX data feeds and calendar-heavy scheduling logic
  • Data volume and quality available for retrieval (RAG)
  • Web chat only vs. added voice or SMS surfaces

How This Compares Nationally

Across all industries, GKAI Studio's US client engagements run $25k-$55k for a focused MVP, $45k-$90k for an agent with a full dashboard, and $75k-$150k+ for a multi-surface product. Real Estate projects typically land in the middle of this range.

Frequently Asked Questions

Most real estate AI agent projects run $28k-$65k, depending on the number of integrations and whether compliance or multi-location logic is required.

Discovery and scoping, the AI agent build (RAG, tool use, guardrails), 1-3 integrations relevant to real estate (such as scheduling or CRM tools), testing, and production deployment with logging.

Typically 7-12 weeks from kickoff to production launch, depending on integration count and approval workflow complexity.

Most clients budget $200-$2,000/month for LLM API usage plus an optional $5k-$15k/month retainer for feature work and model upgrades.

Yes — after a free discovery call we provide a fixed-scope quote, not an open-ended hourly estimate.

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