Press & Media — QuoteScore AI

The five worst-scoring categories with 5+ analyzed quotes, worst first (lower = more overpriced on average). Same rows as /api/stats/public → topOverpricedCategories.

🚗 Auto (n=756)Avg 49/100

📋 Siding (n=57)Avg 50/100

📋 Paving (n=61)Avg 52/100

🔧 Plumbing (n=249)Avg 53/100

🏠 Roofing (n=305)Avg 53/100

3 Story Angles

We've done the research. These are the angles our data supports.

Story Angle 1

The Contractor Quote Lottery: Within a Single Trade, Our Scores Run From Fair to Severely Overpriced

Homeowners rarely see what anyone else was quoted, so they have no way to tell a fair number from a bad one. Our scores show how wide that range is inside a single trade. Across 756 auto quotes the fairness scores carry a standard deviation of 24 points, with 55% scoring below 50 and 22% scoring 70 or better. Across 305 roofing quotes the fairness scores carry a standard deviation of 25 points, with 43% scoring below 50 and 30% scoring 70 or better. Across 249 plumbing quotes the fairness scores carry a standard deviation of 25 points, with 47% scoring below 50 and 32% scoring 70 or better. These are the dispersion of QuoteScore's own fairness scores within a category, computed live over every scored quote in the categories with the largest samples — not a price variance. We do not claim two quotes were for identical work: nothing in our data establishes that two jobs are comparable, so we do not report a price spread. Reproduce these from the benchmark CSV or ask us for the query.

📊 Data hook: "41% of contractor quotes analyzed by QuoteScore scored below 50 out of 100, and quotes scoring below 70 carry an estimated overpayment of $2,890 on average."

Story Angle 2

AI vs. the Contractor: How a Free Tool Is Closing the Information Gap That Lets Contractors Overcharge

Contractors have always had an information advantage: they know what things cost, homeowners don't. QuoteScore is one of several tools attempting to democratize pricing data — using AI to analyze a quote photo and benchmark it against thousands of real-world jobs. The tool has analyzed over 3,500 quotes since launch, scored 41% of them below 50 out of 100, and estimates an average overpayment of $2,890 on the quotes it scores below 70. The question isn't whether AI can spot a bad quote — it's whether homeowners will actually use it.

🤖 Tech angle: First free consumer tool to use AI for real-time quote benchmarking across 30 service categories.

Story Angle 3

What a Second Opinion Is Worth: The Homeowners Who Never Get One

The homeowner who collects three quotes finds out what a job costs. The one who collects a single quote finds out nothing, and has no way to tell which situation they are in. Our own scores show how much room that leaves: in auto, the category with our lowest average, 756 analyzed quotes average 49 out of 100. Across every category, quotes we score below 70 carry an estimated overpayment of $2,890. We do not track what anyone does after they read their score, so we cannot tell you how many renegotiated or walked away — only what the quotes themselves looked like when they arrived.

💡 What we can provide: the anonymized analysis records behind any figure on this page, the benchmark CSV, and the exact query for any statistic quoted here.

Live Data Embed

Embed real-time QuoteScore statistics in your article. Updated every 5 minutes.

Public API endpoint (no auth required)

https://quotescore.ai/api/stats/public

Response shape — scalars below are live as of this page load

{
  "totalAnalyses": 3547,
  "averageScore": 57,
  "totalSaved": 6520903,
  "categoryCounts": { "<category>": <integer>, ... },
  "topOverpricedCategories": [
    { "category": "<category>", "avg_score": <integer> }, ...
  ],
  "updatedAt": "<ISO 8601 timestamp>"
}

Bulk download (CSV, one aggregated row per category)

https://quotescore.ai/api/dataset/benchmarks.csv

License

CC BY 4.0 — free to use with attribution to QuoteScore (quotescore.ai). Field dictionary, coverage and the citation line are on the dataset page.

Quotes You Can Use

These are cleared for direct quotation in articles about QuoteScore.

"41% of the contractor quotes we analyze score below 50 out of 100, and the ones we score below 70 carry an estimated overpayment of $2,890 on average. Homeowners have always been at an information disadvantage. We're trying to close that gap."

— QuoteScore team

"The pricing data is real. We built a tool that does in 60 seconds what most homeowners never do: checks every single line item against what the same work actually costs in their area."

— QuoteScore team

"Auto is the worst-scoring category we see: 756 analyzed quotes averaging 49 out of 100. The information gap is widest wherever the work is complex enough that the homeowner cannot price it themselves."

— QuoteScore team, on category data

"We don't tell you to not pay the quote. We tell you exactly what's overpriced and by how much, and we give you the negotiation language to fix it — line by line, so you can push back on a specific number instead of walking away from the contractor."

— QuoteScore team, on what the tool gives the reader

Press Kit & Assets

QuoteScore Press Kit

Logo, product screenshots, and brand assets for editorial use. Contact us for additional images, founder interviews, or user case studies.

Download Logo (PNG) Request Full Kit

Press Contact

We respond to press inquiries within 24 hours. We can provide:
• On-the-record quotes & interview availability
• Anonymized user case studies with verified savings data
• Custom data pulls from our quote database for specific categories or regions

quotescoreai@gmail.com

Please include your publication, deadline, and the angle you're pursuing.

The Data on ContractorOvercharging in America

In the News

The Data Story

By Category: Most Overpriced