We kill garbage leads. Before they kill your week.
The Garbage Lead Killer™— powered by AI. Tire-kickers, time-wasters, 'just-looking' calls: killed before they ring.
Real customers come through pre-qualified, on record, appointment in hand. You don't answer the phone. You just show up and close.
Free 5-min audit · 90-day ROI guarantee · No card, no contract
Built on a real roofing business.
Built on the systems used daily inside Titan Restoration & Construction. Ask about the system →
Last updated: June 6, 2026Reviewed by the RooferFuel team
How much are garbage leads costing you?
In our intake modeling, roughly 8 in 10 inbound leads fail basic qualification (modeling assumption pending publication of our first-party dataset — see methodology). They bury the real customers you never get to. Start with the jobs you actually book.
You stopped chasing the 80% that was never going to buy.
Kill My Garbage Leads →First-party intake model: ~8 in 10 inbound leads fail basic qualification (assumption pending publication of our first-party dataset) · real leads book appointments at 70% · appointments close at 35%. Revenue lost = real customers buried by garbage, run through book → close → job value. See the methodology. Your numbers will vary.
Full calculator + methodology →
Methodology — how these numbers are modeled
How this calculator works
This calculator estimates the weekly volume of inbound roofing leads implied by the jobs you already close, splits that volume into qualified and unqualified leads using a stated qualification-failure rate, and expresses the unqualified share as buried real customers and unrealized revenue per year.
The formulas
total_leads_per_week = max(5, jobs_closed_per_week ÷ (real_rate × book_rate × close_rate)) garbage_leads_per_week = total_leads_per_week × garbage_rate real_leads_per_week = total_leads_per_week − garbage_leads_per_week real_appointments_per_week = real_leads_per_week × book_rate real_closable_jobs_per_week = real_appointments_per_week × close_rate buried_jobs_per_week = max(0, real_closable_jobs_per_week − jobs_closed_per_week) revenue_lost_per_year = buried_jobs_per_week × 52 × avg_job_value buried_customers_per_year = max(0, real_appointments_per_week − jobs_closed_per_week ÷ close_rate) × 52 where garbage_rate = 0.8 real_rate = 0.2 book_rate = 0.7 close_rate = 0.35
Every input, with its basis
| Input | Default | Basis |
|---|---|---|
| Paid jobs you close / week | 3 | Operator-entered |
| Your avg job value | $8,500 | Operator-entered |
| Total leads / week | Auto-derived from the rates below; operator can override | Operator-entered |
| Qualification-failure rate (garbage) | 80% | ASSUMPTION — modeled from intake operations at Titan Restoration & Construction; first-party dataset not yet published |
| Real-customer rate | 20% | ASSUMPTION — defined as 100% minus the qualification-failure rate above |
| Appointment-booking rate (real leads → appointments) | 70% | ASSUMPTION — modeled from intake operations at Titan Restoration & Construction; first-party dataset not yet published |
| Close rate (appointments → signed jobs) | 35% | ASSUMPTION — modeled from intake operations at Titan Restoration & Construction; first-party dataset not yet published |
| Weeks per month / weeks per year | 4.33 / 52 | Calendar constant (52 weeks ÷ 12 months); not a modeled figure |
Dataset status
The 8-in-10 qualification-failure figure is a modeling assumption drawn from day-to-day intake operations at Titan Restoration & Construction, the roofing business RooferFuel was built inside. It is not yet a published dataset. We are assembling our first-party intake dataset for publication; when it ships, this page will link it here and this methodology will be revised against it. Until then, treat every output of this calculator as an estimate driven by your own inputs plus stated assumptions.
Methodology last updated: June 12, 2026 · Reviewed by the RooferFuel team · Revision log: v1.0 — initial publication of modeling methodology.
Direct Answer
What is RooferFuel.ai?
RooferFuel.ai is an AI-powered lead-generation and customer-acquisition software platform built for roofing contractors. Its Garbage Lead Killer™ system answers inbound calls and chats 24/7, qualifies real customers, recovers missed calls, and books appointments on your calendar automatically — so you stop paying for shared, low-quality leads and only deal with homeowners who are ready to buy. It is sold as software with a 90-day ROI guarantee, not as a roofing service.
- Answers and qualifies every inbound lead 24/7, then kills tire-kickers before they reach you.
- Recovers missed calls and books pre-qualified appointments directly on your calendar.
- Plans start at $997/month with a 90-day ROI guarantee — no contract required.
The Problem
The math is brutal. Run the numbers on your last 90 days.
Garbage leads are the silent killer.
Garbage Leads
Tire-kickers, time-wasters, 'just-looking' calls. They ring your phone, waste your week, and never buy. Lead vendors call them 'leads.' We call them garbage.
Lead Vendor Betrayal
You paid them. They sent you junk. You're still paying them. The whole category was built on selling you the same garbage 50 different ways.
The Silent Stretch
The phone goes silent for three weeks. Then panic-buying starts. More lead vendors. More garbage. Same cycle, same silence.
Chasing Instead of Closing
Your team's calendar is full of follow-ups, qualifications, and dead leads — instead of the in-person appointments that actually close.
Included in Every Tier
Same Killer brain. Three tiers of scale.
The Garbage Lead Killer — powered by AI. Every tier gets the full platform — the same brain that kills garbage leads silently and delivers real customers straight to your calendar.
Phone Killer · 24/7 AI
Inbound calls answered in seconds. The Killer qualifies the caller, captures the details, voice-records the conversation, and books the real customers straight to your calendar. Tire-kickers and 'just-looking' calls? Killed before they reach you.
Chat Killer · Web + SMS
Every web visitor and every text message handled by the same AI brain. Real customers get pre-qualified and booked. Garbage gets filtered out silently — you never see it.
Missed-Call Recovery
If a real customer can't get through, the Killer follows up within 60 seconds — by call, SMS, or both. No real customer ever falls through the cracks.
Appointment Booking
Real customers land on your calendar pre-qualified, on record, and ready to close. The Killer syncs with your existing calendar app — Google, Outlook, ServiceTitan, JobNimbus.
Review Automation
Every closed job triggers a review request — automatically, at the right moment, through the channel the customer prefers. More 5-star reviews without lifting a finger.
Revenue Dashboard
Track garbage leads killed, real customers booked, and revenue closed. One screen. No spreadsheets. No mystery.
How It Works
Three steps. Then the Killer takes over.
Install your Killer.
Phone Killer + Chat Killer go live within 48 hours. Plug into your existing phone number and website. No tech work on your end.
Garbage leads start dying.
Tire-kickers, time-wasters, just-looking calls: killed before they ring. Silently, around the clock. You don't see them.
You stopped chasing leads weeks ago.
Real customers come through pre-qualified, on record, appointment in hand. You don't generate leads. You don't answer the phone. You just show up and close.
Your dashboard
Leads and revenue, tracked.
Now see what's possible.
You've seen what you're losing. Here's what the Killer produces once garbage leads stop reaching your phone.
Recommended tier
Burn
Built for roofing contractors. Proven by roofing contractors.
RooferFuel.ai is live with roofing contractors across the Southeast and expanding. Our anchor partner Titan Restoration & Construction — a veteran-owned full-lifecycle contractor in Simpsonville, SC — is deploying RooferFuel as part of their multi-city expansion across Upstate South Carolina.
Full case study coming soon.
- → Full-lifecycle roofing contractor
- → Multi-city expansion in progress
- → ShiFt NeuralOS™ implementation partner
- → RooferFuel anchor customer
Results
The math works. Every time.
A Burn contractor closing 3–4 jobs per month at $8,500 generates $25K–$34K in revenue against ~$3,400 in monthly cost. That's 8–9× return — before organic compounds.
Automated post-job review requests timed to the emotional peak drive consistent 5-star velocity. Contractors with 40+ reviews dominate the local map pack.
The average $2M+ roofing contractor misses 12–18 calls per week. At 10% revenue rate and 40% close, that's $22,100 per month in invisible losses — recovered by AI from day one.
These are calculated projections based on industry data and our pricing model — not testimonials. Real contractor results will replace these as our Founder Launch program delivers them.
Pricing
Same Killer. Three tiers of scale.
Same brain at every tier. Different growth posture. 90-day ROI guarantee on all three. If the Killer doesn't pay for itself in 90 days, you walk and we refund you.
Adjust for your business
covers 3 months
Where most contractors start. Full Killer system + 90-day ROI guarantee.
$997/month
- ✓CRM — lead tracking + pipeline management
- ✓Organic SEO + local keyword targeting
- ✓Google Business Profile optimization
- ✓MapPack ranking + local keyword targeting
- ✓Review automation
- ✓Business audit
ROI Guaranteed
30-day setup. Month-to-month after 90 days.
covers your month
Same Killer, more aggressive growth posture. For contractors ready to outpace their local market.
$1,497/month
- ✓Everything in Ignite
- ✓ShiFt Convert — Agentic Call AI 24/7
- ✓ShiFt Convert — Agentic Chat AI 24/7
- ✓ShiFt Convert — Agentic Web Call AI
- ✓Missed-call recovery
- ✓Appointment volume control
ROI Guaranteed
30-day setup. No prerequisites. Month-to-month after 90 days.
cover everything
For contractors ready to dominate their territory. Maximum throughput. Maximum scale.
$2,497/month
- ✓Everything in Burn
- ✓Google Ads (Search + Local)
- ✓Google Local Service Ads (LSA)
- ✓Facebook + Instagram Ads
- ✓Omnichannel ad management
- ✓Professional website + blog content
- ✓Monthly strategy call
- ✓Custom growth plan
ROI Guaranteed
30-day setup. Includes website build. Month-to-month after 90 days.
$1,497 setup fee applies to all tiers (one-time). 90-day activation period after 30-day setup. Month-to-month after that.
★ Founder Launch pricing · First 100 direct contractors only · Zero per-appointment fees for 24 months from signup.
After Founder Launch fills (100 contractors) or the 24-month grandfather period ends, standard per-appointment fees apply: Ignite $400 · Burn $300 · Blaze $200 per qualified appointment delivered. The tier that generates the most appointments has the lowest cost per appointment — the economics reward growth.
FAQ
Questions every contractor asks.
Getting Started
From signup to first kill in 48 hours.
Day 1 — You sign up.
Month-to-month, no long contract, 90-day ROI guarantee. You fill out a short intake form and we get to work — no platform to learn, no tutorials to watch. You tell us how many jobs you want per week and we build the Killer around it.
Day 2–3 — Killer installation.
Phone Killer goes live first, then Chat Killer. Both plug into your existing infrastructure — your phone number and your website. No tech work on your end, and your revenue dashboard is live from the start.
Day 5–7 → Day 90 — Kills, then ROI.
Day 5–7: first garbage leads killed silently in the background, first real customers booked pre-qualified. Day 90: ROI guarantee check-in. If the Killer hasn't paid for itself, you walk and we refund you in full.
Ready to stop chasing leads?
Kill Garbage Leads →Join the first 100 roofing contractors.
Stop chasing leads. Just show up and close.
Kill Garbage Leads →The research
The state of roofing lead generation, by the numbers
RooferFuel was built around a few well-documented realities about how homeowners find roofers, how fast leads go cold, and how buying decisions are increasingly shaped by AI answer engines. The figures below come from independent, primary sources — peer-reviewed research, federal data, and industry studies — each linked so you can verify them yourself. Where a number is our own internal modeling assumption, we say so plainly and link to our published methodology instead.
$92.2B[3]
U.S. roofing-contractor market size in 2025. It is a large, fragmented market where the contractors who win are the ones who respond first and look most credible online.
7× more likely[2]
A landmark study of more than 1.25 million leads found firms that make contact within an hour are nearly seven times likelier to reach a decision-maker. Speed-to-lead is not a nicety — it is the single biggest lever most contractors are leaving on the table.
up to 115%[1]
Princeton-led research on Generative Engine Optimization found that citing credible sources lifted a lower-ranked page's visibility in AI answers by as much as 115%, with overall gains up to ~40%. Plain keyword stuffing did nothing.
76% visit in a day[7]
Of people who run a “near me” search on a phone, 76% visit a related business within a day and 28% of those searches end in a purchase. Roofing demand is immediate and local.
1 in 36 homes[8]
Each year about 1 in 36 insured homes files a wind or hail property-damage claim — the single largest cause of homeowners losses, and a steady engine of roof-replacement demand[9].
8% click rate[10]
When a Google AI Overview appears, users click a traditional link just 8% of the time (versus 15% without). Being cited inside the AI answer — not just ranking below it — is the new battleground.
“Firms that tried to contact potential customers within an hour of receiving a query were nearly seven times as likely to qualify the lead… yet only 37% of companies responded to their leads within an hour.”
“Adding citations, quotations from relevant sources, and statistics can significantly boost source visibility… up to 40% in generative engine responses,” while traditional keyword optimization showed little to no benefit.
What this means for your roofing business
Put these findings together and a clear pattern emerges. Roofing is a multi-billion-dollar market[3] with steady, weather-driven demand — the U.S. logged 27 billion-dollar disasters totaling roughly $182.7 billion in 2024 alone[4], severe convective storms alone topped $50 billion in insured losses in a single year[9], and the trade itself is projected to keep growing through 2034[5]. Because the average asphalt-shingle roof only lasts about 15–30 years[11], replacement demand is continuous, not optional. Demand is not the problem. The problem is that the homeowner who needs a roof today is searching on a phone, comparing several contractors at once, and deciding fast[7].
In that environment, two things decide who wins the job. First, response speed: the contractor who answers in minutes — not hours or days — is multiples more likely to actually talk to the homeowner[2]. Second, credibility at the moment of discovery: nearly nine in ten buyers read reviews and online signals before they ever call[6], and a growing share of those buyers now get their first answer from an AI engine — ChatGPT alone reached roughly 800 million weekly users in 2025[12] — that favors well-structured, well-cited content[1] and increasingly keeps the click inside the AI answer itself[10].
The economics reinforce the urgency. A roof replacement is a major purchase — roughly $5,900–$13,000 for a typical U.S. home[28] — and rising shingle and material prices[51] make a fast, trustworthy estimate more decisive than ever. Demand itself is structurally durable: nearly half of owner-occupied U.S. homes were built before 1980[35], home-improvement spending runs into the hundreds of billions annually[48], and federal research shows that resilient, code-compliant roofing saves about $11 for every $1 invested in mitigation[46][47]. For homeowners, verifying a roofer's insurance and safety practices matters too — falls remain the leading cause of construction deaths[32].
The discovery channel is shifting underneath all of it. Adoption of AI assistants has gone mainstream — about a third of U.S. adults have used ChatGPT[44], three-quarters of knowledge workers already use generative AI[45], and most organizations now use it regularly[31]. Gartner expects traditional search volume to fall 25% by 2026 as those assistants absorb queries[13], and AI Overviews already cut clicks to the top organic result by roughly a third[14]. The practical response is structured data: marking up your pages with schema.org types like LocalBusiness, HowTo, and Article[16] is exactly what Google says helps engines understand your content and surface it[15].
Credibility is not just reviews — it is verifiable trust signals an AI engine can cite. Roofing is a licensed trade in most states: California requires a C-39 roofing license you can verify with the CSLB[54], and Florida certifies roofers through the DBPR after a state exam and insurance checks[55]. Beyond licensing, manufacturer programs gate their best coverage behind vetted-installer status — GAF's Golden Pledge® warranty requires a Master Elite® contractor[52]and Owens Corning's Platinum lifetime workmanship warranty requires a Platinum Preferred contractor[53]. Trade credentials like NRCA ProCertification®[56]and code-compliant details such as IRC-mandated attic ventilation[57] are exactly the structured, checkable facts that separate a real professional from a storm chaser — and exactly what an answer engine rewards when it picks who to cite.
RooferFuel is built to win on both fronts: kill the garbage leads that waste your response time, route the real customers to you instantly, and structure your online presence so both Google and AI answer engines surface you as the credible local choice. The internal figures in our calculator (for example, our ~8-in-10 garbage-lead assumption) are clearly labeled modeling assumptions — see our published methodology for exactly how we derive them.
References
- Aggarwal, P., Murahari, V., Rajpurohit, T., Kalyan, A., Narasimhan, K., & Deshpande, A. (2024). GEO: Generative Engine Optimization. Proceedings of the 30th ACM SIGKDD Conference (KDD '24); arXiv:2311.09735. https://arxiv.org/abs/2311.09735
- Oldroyd, J. B., McElheran, K., & Elkington, D. (2011). The Short Life of Online Sales Leads. Harvard Business Review (MIT / InsideSales study of 1.25M leads). https://hbr.org/2011/03/the-short-life-of-online-sales-leads
- IBISWorld (2025). Roofing Contractors in the US — Industry Market Size. IBISWorld Industry Report 23816. https://www.ibisworld.com/united-states/market-size/roofing-contractors/198/
- NOAA National Centers for Environmental Information (2025). Billion-Dollar Weather and Climate Disasters (2024). NOAA NCEI / climate.gov. https://www.climate.gov/news-features/blogs/beyond-data/2024-active-year-us-billion-dollar-weather-and-climate-disasters
- U.S. Bureau of Labor Statistics (2025). Roofers — Occupational Outlook Handbook. U.S. Department of Labor. https://www.bls.gov/ooh/construction-and-extraction/roofers.htm
- BrightLocal (2024). Local Consumer Review Survey. BrightLocal. https://www.brightlocal.com/research/local-consumer-review-survey/
- Think with Google (2016). How Mobile Search Connects Consumers to Stores. Google / Ipsos. https://www.thinkwithgoogle.com/consumer-insights/consumer-trends/mobile-search-trends-consumers-to-stores/
- Insurance Information Institute (2025). Facts + Statistics: Homeowners and Renters Insurance. Insurance Information Institute, using ISO® / Verisk Analytics® data. https://www.iii.org/fact-statistic/facts-statistics-homeowners-and-renters-insurance
- Insurance Information Institute (2023). 2023's Severe Weather Events Are Proving Costly to U.S. Insurers. Insurance Information Institute (press release). https://www.iii.org/press-release/2023s-severe-weather-events-are-proving-costly-to-us-insurers-102523
- Pew Research Center (Athena Chapekis, et al.) (2025). Google Users Are Less Likely to Click on Links When an AI Summary Appears. Pew Research Center. https://www.pewresearch.org/short-reads/2025/07/22/google-users-are-less-likely-to-click-on-links-when-an-ai-summary-appears-in-the-results/
- International Association of Certified Home Inspectors (InterNACHI) (2024). InterNACHI's Standard Estimated Life Expectancy Chart for Homes. InterNACHI. https://www.nachi.org/life-expectancy.htm
- TechCrunch (reporting OpenAI CEO Sam Altman) (2025). Sam Altman Says ChatGPT Has Hit 800M Weekly Active Users. TechCrunch. https://techcrunch.com/2025/10/06/sam-altman-says-chatgpt-has-hit-800m-weekly-active-users/
- Gartner, Inc. (2024). Gartner Predicts Search Engine Volume Will Drop 25% by 2026, Due to AI Chatbots and Other Virtual Agents. Gartner (press release). https://www.gartner.com/en/newsroom/press-releases/2024-02-19-gartner-predicts-search-engine-volume-will-drop-25-percent-by-2026-due-to-ai-chatbots-and-other-virtual-agents
- Ahrefs (Ryan Law) (2025). AI Overviews Reduce Clicks by 34.5%. Ahrefs (study of 300,000 keywords). https://ahrefs.com/blog/ai-overviews-reduce-clicks/
- Google Search Central (2025). Intro to How Structured Data Markup Works. Google Developers Documentation. https://developers.google.com/search/docs/appearance/structured-data/intro-structured-data
- Schema.org (W3C community) (2025). Schema.org Vocabulary — Full Hierarchy. Schema.org. https://schema.org/
- Nielsen (2015). Global Trust in Advertising. Nielsen (60-country survey). https://www.nielsen.com/insights/2015/global-trust-in-advertising-2015/
- BrightLocal (2024). Local Consumer Search Behavior Study. BrightLocal. https://www.brightlocal.com/research/consumer-search-behavior/
- U.S. Environmental Protection Agency (2024). Using Cool Roofs to Reduce Heat Islands. EPA Heat Island Reduction Program. https://www.epa.gov/heatislands/using-cool-roofs-reduce-heat-islands
- U.S. Department of Energy (2024). Cool Roofs. DOE Energy Saver. https://www.energy.gov/energysaver/cool-roofs
- U.S. Federal Trade Commission (2024). Online Advertising and Marketing. FTC Business Guidance. https://www.ftc.gov/business-guidance/advertising-marketing/online-advertising-marketing
- U.S. Census Bureau (2025). Construction Spending (C30). U.S. Census Bureau. https://www.census.gov/construction/c30/c30index.html
- Aon plc (2025). Climate and Catastrophe Insight Report (2024). Aon. https://aon.mediaroom.com/2025-01-22-Greater-Insurability-of-Climate-Risk-is-Key-to-Global-Economic-Resilience-Aon-Catastrophe-Report
- Gallagher Re (2025). Natural Catastrophe and Climate Report: 2024. Gallagher Re. https://www.ajg.com/gallagherre/news-and-insights/2025/natural-catastrophe-and-climate-report-2024/
- Insurance Institute for Business & Home Safety (IBHS) (2024). FORTIFIED Roof Standard. IBHS FORTIFIED program. https://fortifiedhome.org/roof/
- Grand View Research (2024). U.S. Residential & Commercial Roofing Materials Market Report. Grand View Research. https://www.grandviewresearch.com/press-release/us-residential-commercial-roofing-materials-market-analysis
- Fortune Business Insights (2024). Roofing Materials Market Size, Share & Forecast. Fortune Business Insights. https://www.fortunebusinessinsights.com/roofing-materials-market-102859
- Angi (2025). How Much Does a Roof Replacement Cost?. Angi (HomeAdvisor). https://www.angi.com/articles/how-much-does-roof-replacement-cost.htm
- ASTM International (2024). ASTM D3462 — Standard Specification for Asphalt Shingles. ASTM International. https://store.astm.org/d3462_d3462m-10a.html
- National Roofing Contractors Association (NRCA) (2024). Technical Resources & The NRCA Roofing Manual. NRCA. https://www.nrca.net/technical
- McKinsey & Company (2024). The State of AI. McKinsey Global Survey. https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai
- U.S. Occupational Safety and Health Administration (OSHA) (2024). Fall Protection. OSHA / U.S. Department of Labor. https://www.osha.gov/fall-protection
- Pew Research Center (2024). Mobile Fact Sheet. Pew Research Center. https://www.pewresearch.org/internet/fact-sheet/mobile/
- Stanford Institute for Human-Centered AI (HAI) (2025). Artificial Intelligence Index Report 2025. Stanford HAI. https://hai.stanford.edu/ai-index/2025-ai-index-report
- National Association of Home Builders (NAHB), analyzing Census ACS data (2025). Almost Half of Owner-Occupied Homes Were Built Before 1980. NAHB Eye on Housing. https://eyeonhousing.org/2025/04/almost-half-of-the-owner-occupied-homes-built-before-1980/
- CoreLogic (2024). Hazard & Severe Convective Storm Risk Intelligence. CoreLogic. https://www.corelogic.com/intelligence/
- Salesforce (2024). State of Sales Report. Salesforce Research. https://www.salesforce.com/sales/state-of-sales/
- Semrush (2025). AI Search & ChatGPT Traffic Insights. Semrush. https://www.semrush.com/blog/chatgpt-search-insights/
- Think with Google (2017). Mobile Page Speed — New Industry Benchmarks. Google / SOASTA Research. https://www.thinkwithgoogle.com/marketing-strategies/app-and-mobile/mobile-page-speed-new-industry-benchmarks/
- National Association of Home Builders (NAHB) (2025). Cost of Constructing a Home. NAHB Construction Cost Survey. https://www.nahb.org/blog/2025/01/cost-of-construction-survey-2024/
- NOAA National Centers for Environmental Information (2025). Assessing the U.S. Climate in 2024. NOAA NCEI. https://www.ncei.noaa.gov/news/national-climate-202413
- Roofing Contractor Magazine (2025). State of the Industry Report. Roofing Contractor (BNP Media). https://www.roofingcontractor.com/articles/100416-2025-state-of-the-roofing-industry-report
- BrightEdge (2024). Organic Search Drives the Majority of Web Traffic. BrightEdge Research. https://www.brightedge.com/resources/research-reports
- Pew Research Center (Colleen McClain) (2025). 34% of U.S. Adults Have Used ChatGPT, About Double the Share in 2023. Pew Research Center. https://www.pewresearch.org/short-reads/2025/06/25/34-of-us-adults-have-used-chatgpt-about-double-the-share-in-2023/
- Microsoft & LinkedIn (2024). 2024 Work Trend Index: AI at Work Is Here. Microsoft Work Trend Index. https://news.microsoft.com/2024/05/08/microsoft-and-linkedin-release-the-2024-work-trend-index-on-the-state-of-ai-at-work/
- National Institute of Building Sciences (NIBS) (2019). Natural Hazard Mitigation Saves. NIBS / FEMA-funded study. https://www.nibs.org/projects/natural-hazard-mitigation-saves-2019-report
- Federal Emergency Management Agency (FEMA) (2020). Building Codes Save: A Nationwide Study. FEMA. https://www.fema.gov/emergency-managers/risk-management/building-science/building-codes-save
- Harvard Joint Center for Housing Studies (2025). Leading Indicator of Remodeling Activity (LIRA). Harvard JCHS. https://www.jchs.harvard.edu/research-areas/remodeling/lira
- U.S. Occupational Safety and Health Administration (OSHA) (2024). Stop Falls — National Safety Stand-Down. OSHA / U.S. Department of Labor. https://www.osha.gov/stop-falls
- Nielsen (2012). Consumer Trust in Online, Social and Mobile Advertising Grows. Nielsen. https://www.nielsen.com/insights/2012/consumer-trust-in-online-social-and-mobile-advertising-grows/
- U.S. Bureau of Labor Statistics (2025). Producer Price Indexes (PPI) — Construction & Roofing Materials. U.S. Bureau of Labor Statistics. https://www.bls.gov/ppi/
- GAF Materials LLC (2025). Golden Pledge® Limited Warranty & Master Elite® Contractor Program. GAF (North America's largest roofing manufacturer). https://www.gaf.com/en-us/why-gaf/warranties
- Owens Corning (2025). Platinum Protection Limited Lifetime Warranty & Platinum Preferred Contractor Program. Owens Corning Roofing. https://www.owenscorning.com/en-us/roofing/warranty
- California Contractors State License Board (CSLB) (2025). Hire a Licensed Contractor / Check a License. State of California — CSLB. https://www.cslb.ca.gov/Consumers/Hire_A_Contractor/
- Florida Department of Business & Professional Regulation (DBPR) (2025). Construction Industry Licensing Board — Certified Roofing Contractor. State of Florida — DBPR / CILB. https://www.myfloridalicense.com/
- National Roofing Contractors Association (NRCA) (2025). NRCA ProCertification® — Installer Certification Program. NRCA. https://www.nrca.net/procertification
- International Code Council (ICC) (2021). International Residential Code (IRC), Chapter 8 — Roof-Ceiling Construction. ICC / 2021 IRC. https://codes.iccsafe.org/content/IRC2021P2/chapter-8-roof-ceiling-construction
Figures attributed above reflect the cited sources as of publication. RooferFuel's own estimates are labeled as modeling assumptions and documented in our methodology.
Where these numbers come from
We publish our methods so our claims can be evaluated on their merits. Every estimate on this page is a directional estimate produced by a transparent model with stated assumptions
— never a guarantee. The sources below are our own published documentation.
“The ~8-in-10 figure used in our homepage calculator and lead-qualification materials is a stated first-party modeling assumption, not a measured result. The calculator labels it as an assumption wherever it appears.”
“We can improve how a roofing website is structured for search and AI answer engines, and we can help tighten lead response and qualification. We cannot guarantee rankings, AI citations, lead volume, or revenue.”
References: Methodology · Claim & Results Disclosure · Packages & Guarantee
Ready to stop chasing leads?
Stop chasing leads. Just show up and close.
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