Prompt Library
AI-powered property enrichment that layers market analysis, tenant targeting, and buyer profiling onto any commercial listing — automatically, from one input.
Overview
The Property Enrichment Library is the intelligence layer for any commercial listing. Feed it an address or basic property record and its columns generate a complete enrichment package: submarket analysis, tenant-targeting profiles, buyer personas, and the demographic and traffic context that turns a listing into an investment thesis. It is the same engine that enriches Windfield's own 78-property portfolio.
Stop manually researching every listing. Feed in the address and let the columns build the profile.
How It Works
Three phases turn a bare property record into a fully enriched investment profile.
The brief takes the address, type, and any known specs as its starting context.
Market, tenant, and buyer columns run together, each pulling the relevant data layer.
A structured profile lands ready for underwriting, marketing, or outreach.
Column Prompts
Each column prompt runs automatically, transforming your raw input into structured, publication-ready output.
Generates a submarket report with vacancy, cap rate, and absorption context.
Builds a profile of the tenant types best matched to the space.
Identifies and scores the investor types likely to acquire the asset.
Pulls population, income, and growth context for the trade area.
Summarizes traffic counts, visibility, and access for the site.
Synthesizes every layer into a one-paragraph investment argument.
What You Get
Every database is pre-built, pre-connected, and ready to duplicate into your Notion workspace.
Every enriched property with its full data layer stack.
Submarket analyses linked to the properties they describe.
Tenant-type profiles matched across the portfolio.
Scored investor archetypes per asset.
Demographic and traffic layers scoped per property.
Core Concepts
Understand the foundational terms that power every prompt in this library.
The Framework
Six layers that turn a listing into a decision-ready profile.
Every layer is scoped to the property's exact submarket.
Market, tenant, buyer, and data layers stack into one profile.
Buyer and tenant fit are scored, not hand-waved.
Analysis is grounded in comparable transactions.
Every profile resolves to an investment argument.
Profiles roll up into a comparable portfolio view.
Who Is This For
Whether you're a solo operator or leading a team, this system adapts to your workflow.
Enrich every listing before it goes to market.
Screen deals with a consistent intelligence layer.
Skip the manual research grind on every asset.
Maintain live profiles across a portfolio.
Validate a site's tenant and buyer demand.
Get a structured thesis with every appraisal.
Deep Dive
Every column prompt is engineered with specific output types and structured reasoning layers.
Reads the property's location and type, then synthesizes a submarket snapshot covering vacancy, rents, cap rates, and recent absorption.
Analyzes the building's size, class, and location to define the tenant categories most likely to lease — with reasoning for each.
Maps the asset against buyer archetypes — private capital, institutional, owner-user — and scores fit for each.
Adds a structured demographic layer — population density, median income, growth trend — scoped to the property's trade area.
Captures vehicle counts, corner visibility, and ingress/egress quality as a structured access profile.
Rolls the enriched layers into a concise, defensible investment thesis suitable for an offering memo intro.
A single brilliant prompt is a party trick. A coordinated system of prompts that read the same context, share the same conventions, and hand off cleanly is an operation. This library is built on the second idea: every prompt is a column in a database, every column knows what came before it, and the whole thing runs from one input instead of a dozen disconnected chat windows.
Getting Started
From purchase to first output in under 10 minutes.
One click clones every database, view, and column prompt into your own workspace.
Answer the questionnaire once — it becomes the shared memory for the whole library.
Trigger the column prompts and watch structured output populate in seconds.
Video Walkthrough
Watch how the system transforms raw input into structured output.
Product Showcase
AI-Powered
Every prompt ships with an embedded assistant trained on the library's own conventions. Ask it to adapt a prompt, explain an output, or chain two columns together — it answers in the context of your workspace, not from a blank slate.
Template Gallery
Every template is designed for immediate use. Duplicate, customize, and deploy.
The Difference
| # | Without This System | With This System |
|---|---|---|
| 01 | Manual research on every listing | Automatic enrichment from one input |
| 02 | Inconsistent analysis quality | A uniform layer across every property |
| 03 | Tenant targeting by gut feel | Scored tenant-fit profiles |
| 04 | Buyer guesses | Ranked buyer archetypes |
| 05 | Demographics looked up by hand | Trade-area data layered automatically |
| 06 | No reusable record | Every profile stored in Notion |
| 07 | Thesis written from scratch | A drafted thesis with every property |
| 08 | One property at a time | Bulk enrichment across the portfolio |
FAQ
Everything you need to know before getting started.
Powered By
Every feature is built natively inside Notion, enhanced by AI column prompts.
Use Cases
Enrich a property the moment it enters your pipeline.
Apply a consistent intelligence layer to every inbound deal.
Generate the market and thesis sections automatically.
Refresh enrichment across every asset on a schedule.
Compare trade-area data across candidate sites.
Know who to target before you make the call.
Plans & Pricing
Recurring access to the full library, its databases, and every future update. Start free, upgrade anytime.
