Beyond Reonomy: Building the Agentic CRE Revenue Stack

This piece looks at Reonomy alternatives with agentic workflows through the agentic GTM lens — what changes when autonomous agents handle the work humans used to own.

Commercial real estate (CRE) is currently paying a 40% "human-in-the-loop tax" on data entry that should have been automated in 2022. Most tenant-rep brokers and investment sales associates still spend their Monday mornings manually cross-referencing Reonomy ownership records against LinkedIn profiles and CoStar lease comps. It is a slow, expensive, and fundamentally broken way to build a pipeline. In the agentic GTM era, data is no longer a destination you visit; it is fuel for an autonomous fleet that finds, scores, and engages prospects while you sleep.

Key Takeaways

Legacy CRE databases are becoming "passive repositories" that require high-cost human labor to activate.

The agent-graph stack reduces the time from "signal" to "outreach" from 72 hours to 4 seconds.

2026 winners will replace SDR teams with agentic workflows built on OpenClaw and Clay.

Behavioral-timing signals now outperform traditional "cold" property prospecting by 4.2x.

The Death of the Manual Property Search

For a decade, Reonomy was the gold standard for skip tracing and owner lookups. But in 2025, having the data isn't the edge. The edge is what you do with it at 3:00 AM without touching a keyboard. If your brokers are still manually exporting CSVs to upload into Buildout or ClientLook, you aren't running a brokerage; you're running a data-entry farm.

The traditional GTM motion in CRE is collapsing. We are seeing a move away from "research then reach out" toward a fused intelligence layer. This is where the database and the outbound agent are the same entity. When an agentic workflow identifies a debt maturity date in Crexi, it shouldn't alert a human. It should trigger an enrichment agent via Clay or Apollo, find the GP's mobile number, and draft a hyper-personalized NNN investment thesis based on their current portfolio.

The Agent-Graph Stack Over Reonomy

Modern firms are building what we call the Agent-Graph Stack. They aren't looking for a "Reonomy alternative" that looks just like Reonomy. They are looking for orchestration. Using the orchestration layer, a firm can now build a custom agent that monitors county-level permit filings and tax liens in real-time. This isn't just data; it's a reasoning engine.

Consider the tenant-rep workflow. Instead of a junior associate cold-calling every office tenant in a 5-mile lead radius, an agentic stack monitors "behavioral-timing" signals—hiring surges on Crunchbase, new Series B announcements, or specific lease-expiry triggers. Platforms like Ecliptica now sit alongside these databases to provide the "when" to the "who." Transitioning to this model isn't just more efficient; it's the only way to survive the BDR extinction curve.

"The era of the 'database broker' is over. If your value-add is just knowing who owns the building, an agent will replace you by Q4 2025. Your value must move to the high-threshold closing work." — GTM Analysis, October 2025

The Autonomy Threshold: How to Rank Your Stack

Where does your brokerage sit on the autonomy threshold? Most are at Level 1: Human-led with tool assists. The leaders are moving to Level 4: Agent-led with human oversight. To get there, you need to stop thinking about Reonomy, CoStar, or LoopNet as UIs. They are now APIs for your agents.

When you plug these data sources into a tool like 6sense or Common Room, the agent can see "Dark Social" signals,like an CFO researching warehouse space on a third-party site,and correlate that with ownership data. This is the part nobody says out loud: the best deals aren't found in the database; they are predicted by the agent before the owner even knows they want to sell.

But. Many leaders get this wrong. They buy "AI features" inside their old CRMs like HubSpot or Salesforce and think they've automated. Wrong. A sidebar that summarizes a call is a toy. An agent that monitors a CRE Agentic Stack and initiates a multi-channel dispo campaign based on interest rates is a revenue machine.

Beyond the Search Bar: Orchestration is the Alpha

The shift from search-based prospecting to autonomous orchestration is the ultimate alpha in CRE capital markets. We are seeing firms use agents to perform "lease abstraction at scale," scanning thousands of public records to find the specific NNN leases with the least favorable renewal options. That is a target list no human could build in a month, but an agentic fleet builds it in sixty seconds.

Wait. It gets more aggressive. Advanced teams are now using "routing agents" to ensure that when a high-intent signal (like a permit for a major renovation) hits the system, the lead doesn't sit in a queue. It’s routed through an outreach agent like Regie or Lavender to ensure the first touch is perfect. The BDR role isn't just changing; it is being digested by the stack.

What This Means For You

Audit your "Time to First Touch": If it takes more than 5 minutes for a property signal to result in a personalized outreach, your stack is failing.

Treat Data as an API, not a UI: Stop training brokers on how to "search" Reonomy. Train your RevOps team on how to map CRE use-cases into agentic workflows.

Kill the CSV Export: Any workflow that requires a human to "export and import" is a profit-leak. Use middleware to fuse your intelligence layer.

Focus on Intent over Inventory: Ownership data is a commodity. Intent data,knowing who is *likely* to move,is the only sustainable moat in 2026.

The brokers who thrive in the next 24 months won't be the ones with the best Rolodex. They'll be the ones who stopped fighting the machines and started managing the fleet.

Related reading

CRE Agentic Stack Index

CoStar vs Reonomy

Reonomy alternatives

More from Agentic GTM on CRE Vendor Stack

Beyond Reonomy: Building the CRE Autonomous Revenue Stack

Beyond Reonomy: The Rise of Autonomous CRE Prospecting Agents

Industrial Alpha: The Rise of Agentic Prospecting Workflows

CompStak Alternatives: The Move to Agentic Lease Intelligence

CoStar Alternatives: The Rise of Agentic CRE Sourcing

The Death of Manual Prospecting: Agentic CRE Timing Signals