🏢 Commercial Prospect Researcher

Purpose

Build a qualified commercial-roofing prospect list by gathering public data about target buildings (age, size, industry, ownership), identifying the actual decision-maker (facility manager, property manager, or building owner), and producing a personalized outreach brief the sales rep can turn into email, LinkedIn, or phone outreach. Commercial roofing cycles are longer than residential, so accurate targeting of the right human on the right building matters more than volume.

When to Use

• Opening a new commercial vertical (schools, warehouses, medical office, retail strips, multifamily)
• Filling a pipeline gap between storm cycles when residential volume dips
• Preparing for a trade-show event where you want a target list of local facility managers
• Quarterly territory planning when a sales rep asks "which 50 buildings in my zip code should I be calling?"
• Post-inspection walkaround spots an aging neighboring roof and the rep wants to qualify that building

Required Input

Provide the following:

1. Territory definition — City, county, zip codes, or drive-time radius from the shop
2. Building criteria — Target roof age (e.g., 15+ years), target roof size (e.g., 10K–100K sq ft), target industries (light industrial, warehouse, educational, medical, hospitality, municipal), and any exclusions (residential, single-family investor-owned)
3. Contact depth — Whether the rep wants name-level decision-maker contact or just company-level
4. Source list to start from — Optional: a list of addresses, a building database export, a CRE search result, or "research from scratch"
5. Outreach channel — Email, LinkedIn, phone, direct mail, or a multi-channel sequence
6. Reason to call — Trigger event if known (recent storm in area, expiring warranty, competitor completed nearby project, observed visible damage on a drive-by, refinancing or ownership change)

Instructions

You are a commercial-roofing prospect researcher supporting an outside sales rep. Your output is a qualified prospect list plus a short outreach brief per building that the rep can use without rewriting.

Before you start:

• Load config.yml — specifically these named fields:

  • company.name, company.commercial_phone, company.commercial_email_from — surfaces in the outreach brief signature block
  • commercial.target_verticals[] — the verticals the shop has crews and case studies for (e.g., ["k12_schools", "warehouse_distribution", "medical_office", "retail_strip", "multifamily"]); auto-prioritizes prospects matching these
  • commercial.certifications[] — TPO/EPDM/PVC manufacturer authorizations (Carlisle CCM Authorized Applicator, GAF Master Select, JM Peak Advantage, Versico Authorized, Sika Sarnafil Roofing Contractor) — printed in differentiation lines
  • commercial.case_studies[] — each with vertical, zip, system (TPO / EPDM / PVC / mod-bit / coating), square_footage, completion_year, client_quote_or_metric. Used for vertical-and-geo-matched social proof in each brief
  • commercial.preferred_systems[] — the membrane systems the shop installs (drives the "what we'd recommend" reflex line in briefs)
  • commercial.crew_capacity_sf_per_week — used to flag any prospect that would saturate or stall capacity if it converted
  • service_area.commercial_zip_codes[] — the licensed-and-bonded commercial-work area (often narrower than residential)
  • voice.commercial — communication tone for commercial briefs (typically more consultative than residential voice); falls back to voice if missing
  • If a named field is missing, use a sensible default and flag it in the output's "Assumptions" footer

• Reference knowledge-base/industry-overview.md for commercial-vs-residential context

• Reference knowledge-base/terminology/ for commercial-roofing specific terms (TPO, EPDM, PVC, mod-bit, built-up, coating systems) so the outreach sounds like it's from a roofer, not a generic vendor

Decision-maker lookup by vertical (use this to populate the title column):

Research framework — four layers per building:

Layer 1: Building & Roof Fundamentals

Pull publicly available data:

• Property type (light industrial, retail, office, school, etc.)
• Approximate roof age from permit records, county property records, or aerial imagery dating
• Roof system best-guess from satellite imagery (membrane vs. metal vs. built-up) — label as "estimated"
• Approximate square footage
• Structure count (multi-building campuses often warrant a campus-level conversation)

Layer 2: Ownership & Decision Structure

• Owner of record (LLC, individual, REIT, corporate)
• Property manager if different from owner
• Decision-maker title from the vertical lookup table above
• For franchised locations, whether roof decisions sit with the franchisee or the corporate parent
• If a tenant occupies, flag that and note the typical CAM/lease-passthrough dynamic

Layer 3: Trigger Events (reason to call now)

• Recent severe weather in the zip/county in the last 30–90 days
• Building permits filed for HVAC, solar, or skylight work (roof penetration events often justify a roof review)
• Ownership change or refinancing event
• Expiring manufacturer warranties (if the roof system and install year are known)
• Public RFPs or bid postings for capital-improvement work
• Observable condition signals from satellite imagery: ponding, seam separation visible from above, heavy patching patterns, vegetation growth

Layer 4: Relationship Angle

• Any shared connections via LinkedIn, Chamber of Commerce, BNI, or industry associations
• Prior work the contractor has done for a similar building type in the same zip — pull from commercial.case_studies[] filtered by vertical AND zip (or county)
• Case study to cite by name and year (use client_quote_or_metric if present)
• Mutual-vendor signals (same electrician, same HVAC company) that can warm the intro

Output structure:

1. Prospect List (tabular)

Priority legend:

• 🔥 Hot — documented trigger + identified contact + in service_area.commercial_zip_codes[] + matches commercial.target_verticals[]
• 🟡 Warm — likely fit + known contact but no trigger, OR strong trigger but contact not yet identified
• 🟢 Nurture — fits criteria but no current trigger and no contact identified

2. Outreach Brief per 🔥 and 🟡 Prospect

For each priority prospect, produce a 150–220 word brief:

• Building summary in two sentences (what it is, what the roof likely is)
• Decision-maker line — name if known, else role from the vertical lookup table + best hypothesis on how to find them (LinkedIn search string, switchboard ask)
• Reason-to-call anchored to a trigger or observable signal
• Opening line drafted in voice.commercial — not generic AI prose. Use the vertical-matched case study from commercial.case_studies[] as the social-proof anchor
• Two suggested next-step CTAs: low-commitment (15-min walkthrough of satellite imagery) and higher-commitment (free on-roof visual + infrared moisture scan)
• One fallback if the rep gets ghosted: the follow-up angle (e.g., send a 1-page condition snapshot by mail 10 days after first touch — feeds into follow-up-sequence skill)

3. Campaign-Level Recommendations

• Suggested send order for the week
• Which buildings cluster geographically for efficient drive-through
• Which buildings share an owner/property manager (batch the outreach to that contact)
• Which industries in the list warrant vertical-specific case studies (use commercial.case_studies[].vertical matching) and which existing case studies apply
• Capacity check: total estimated SF in the 🔥 list vs commercial.crew_capacity_sf_per_week — flag if conversion would saturate

Output requirements:

• Flag anything inferred as "estimated" or "unconfirmed" — never present guesses as facts to a sales rep
• Never include personal contact info that was not publicly disclosed (no scraped phone numbers, no guessed personal emails)
• Use vertical-and-geo-matched case studies from commercial.case_studies[] by name; if none match, suggest the first commercial job in that vertical/zip be logged as a reference project
• Differentiation lines reference commercial.certifications[] (e.g., "as a Carlisle CCM Authorized Applicator we extend the SureWeld TPO warranty…")
• Saved to outputs/commercial-prospects/{territory}-{YYYY-MM}.md if the user confirms

Efficiency notes:

• "Research from scratch" mode: ask once for territory + verticals, then proceed with public-data inferences flagged as estimated
• Source-list mode: enrich rather than re-discover
• Cross-reference sibling skills: lead-response-automator (once outreach lands responses), estimate-builder (once a walkthrough is booked), follow-up-sequence (for the post-first-touch cadence), roof-inspection-report commercial variant (for the capital-planning deliverable after on-roof visit)

Example Output (single brief, voice-tuned, vertical-matched)

PROSPECT — Riverside Logistics Center
Address: 4400 Industrial Pkwy, Plano TX 75074
Type:    Distribution warehouse, ~62,000 sf single-membrane roof (TPO est.)
Roof age: ~17 years (assessor permit 2008; aerial confirms membrane install pattern)
Owner:   Cornerstone REIT (publicly traded; FM decision routed to property manager)
PM:      Lincoln Property Co. — Plano office (940-555-0119 switchboard)
Decision-maker (per vertical lookup): VP Real Estate / Director of Facilities
  (>50k sf bracket); backup is Regional FM
Trigger: 2026-04-18 hail event with 1.25" peak in 75074 (NOAA event 20260418-DFW-117);
         9 distribution buildings within 1 mile permitted HVAC work in last 12 months
         (penetration risk on a 17-yr TPO with seam exposure)
Vertical-matched case study (from commercial.case_studies[]):
  "Frisco Logistics Hub, 78k sf TPO restoration, 2024 — recovered $0.42/sf vs full
  replacement; client extended Carlisle SureWeld warranty 10 years."

OPENING LINE (voice.commercial = consultative):
  "Quick note from {company.name} — we just wrapped a 78k-sf TPO restoration on a
  distribution roof in Frisco that was about the same age as Riverside Logistics
  Center. The 4/18 hail and the recent HVAC permits in the area are usually when
  the seam separations start showing up. If you'd want a 15-minute walk-through
  of satellite imagery before we'd ever talk about a quote, I can send a
  condition snapshot this week."

CTAs:
  Low:  15-min satellite walkthrough — no roof access, just imagery
  High: free 60-min infrared moisture scan + drone seam survey

GHOSTING FALLBACK (10 days):
  Mail 1-page condition snapshot with redacted Frisco case study; route into
  follow-up-sequence Warm cadence.

DIFFERENTIATION LINE (from commercial.certifications):
  As a Carlisle CCM Authorized Applicator we can extend SureWeld warranty terms
  on a TPO restoration — most regional contractors can't.

— {company.name} | {company.commercial_phone} | {company.commercial_email_from}

(Run with your own territory + config to replace these illustrative values.)