You have a deal moving and someone asks, "What incentives are in play here?" It sounds simple until you start pulling threads across federal, state, county, and city programs. By the time you sort eligibility and rough values, you have burned half an hour and still are not sure you caught everything. This is the gap between a quick screen and real underwriting. Miss a program or misjudge its size and your returns shift, often discovered late. This task closes that gap with a fast, structured answer you can use. Research ~5 min to run Find and Rank Property Tax Incentives Vic prompt Use Vic to find and rank the tax incentives for a US commercial property at a specific address. Purpose Surface incentives that improve project returns before underwriting is finalized. The work takes five minutes instead of the thirty minutes a manual search requires. Inputs Property Address Required Project Context Optional Outputs A Word memo that includes a two-sentence summary, a Top-5 ranked and dollar-sized program list, jurisdiction tables, stacking notes, and required verification steps. Time saved Turns roughly thirty minutes of manual work into about five minutes. How it works Give Vic a property address and, if you have it, a bit of project context. Vic finds relevant incentive programs across federal, state, county, and municipal levels for that address. It sizes each program and ranks the top five by dollar impact, so you see what matters first. Run it like this: Use Vic to find and rank the tax incentives for a US commercial property at a specific address. The output is a Word memo built for deal work, not a loose list. It opens with a tight two sentence summary, then a Top 5 list that is ranked and dollar sized. Below that are full eligibility tables by jurisdiction level, clear stacking notes, and required verification steps. It also lists programs reviewed and ruled out, a piece most teams skip when they do this by hand. The ranking matters. It is easy to collect program names. Deciding which ones move the model is harder. By sizing and ordering them, the memo points you to items worth diligence now. The jurisdiction tables keep details organized so you can confirm eligibility without jumping between sources. The ruled out list does real work. It documents the screen. When a partner or IC asks why a well known program is not in the stack, you have the reason on paper. That cuts down on back and forth and avoids rework. Stacking notes and verification steps move the work closer to underwriting. You can see how programs may combine and what needs confirmation before you give credit in the model. That makes it easier to decide whether to treat an item as upside or underwrite it with confidence. For acquisitions teams, this surfaces value before the model is locked. For developers, it frames early conversations with local agencies and shows where to focus. For asset managers, it checks whether existing assets are leaving incentives on the table. The time savings is simple. A manual search takes about thirty minutes if you know where to look. This runs in about five minutes and returns a memo you can circulate. The bigger gain is consistency. Every deal gets the same coverage, the same ranking logic, and a written record of what was considered. There is no magic in the inputs. Start with the address. Add project context if you have it. The output is ready to drop into your deal file and use in discussions the same day.