The AI Visibility Gap
Every general contractor tracked in New York has a website. All 3,539 of them. That website presence, however, is doing almost nothing for AI visibility.
The average AI Trust Score for New York general contractors is 33.7/100, already below the state average of 36.4/100 across all verticals. General contractors rank second-to-last among every trade category tracked in New York, ahead of only HVAC-R at 32.0. A website confirms you exist. It does not tell an AI assistant who you are, what you do, or why you should be trusted.
The critical missing layer is structured data. JSON-LD adoption among New York general contractors sits at just 6%, less than half the state average of 14% across all verticals, and well below the 8.6% national average. That means 94% of general contractors have no machine-readable signals embedded in their sites. When an AI assistant fields a hiring query, it cannot confidently parse your business name, service area, license status, or contact details from unstructured HTML alone.
Reviews compound the problem. The median review count across all 3,539 tracked general contractors is 0.0. More than half of contractors in this dataset have no reviews in the system at all. The bottom 50% average just 9 reviews and score 24.7/100. That score reflects near-zero weight in the Legitimacy category, which carries 35 of the 100 possible points in the AI Trust Score methodology.
The top 10% tell a different story. They average 391 reviews and score 66.8/100. The review gap between top performers and the bottom half is 43.1x. That is not a marginal difference. It is the primary structural divide between contractors AI systems recommend and contractors they ignore.
The score distribution confirms how concentrated the problem is:
| Score Range | Contractors | Share |
|---|---|---|
| 0-9 | 377 | 11% |
| 10-29 | 433 | 12% |
| 30-39 | 1,252 | 35% |
| 40-59 | 1,143 | 33% |
| 60-79 | 312 | 9% |
| 80-100 | 22 | 1% |
No contractor in New York scores between 90 and 100. Only 22 reach the 80-89 range. Meanwhile, 16.7% score below 40, and 11% score between 0 and 9, effectively invisible to any AI-assisted hiring query.
The three scoring categories (Identity at 25 points, Legitimacy at 35 points, Readability at 40 points) each require specific, verifiable signals. A website alone addresses none of them reliably without consistent NAP data, documented reviews, and structured markup.
You can see where you stand in the full New York general contractor directory or review the detailed breakdown in the New York state report. To check your own score, run your audit at /find.
What AI Models Check
The AI Trust Score is built on three categories. Each measures something specific. Together, they explain why a 33.7 average score is not a data anomaly but a structural outcome.
Identity: 25 points. This category measures NAP consistency: whether your business name, address, and phone number match across Google, Yelp, licensing databases, and other directories. AI assistants do not browse your website and make judgment calls. They cross-reference structured sources. When your phone number on Google Business Profile differs from what appears on a directory listing, the signal conflict causes AI models to either lower confidence in your listing or omit you entirely. Inconsistent citations are not a minor SEO issue. They directly reduce the score in the category that anchors every other signal.
Legitimacy: 35 points. This category covers reviews, ratings, and license or insurance verification. The average rating among New York general contractors is 4.44 stars across the 3,539 tracked businesses. That number looks credible. The median review count, however, is 0.0. That zero is the more accurate signal: the average of 104 reviews per contractor is pulled upward by a small number of high-volume outliers. For the majority of contractors in this dataset, the Legitimacy category is returning near-zero weight. No reviews means no social proof signal for AI to evaluate. No verified license data means no confirmation of professional standing. AI systems require documented legitimacy, not implied legitimacy.
Readability: 40 points. This is the highest-value category and the one with the worst adoption among New York general contractors. JSON-LD adoption sits at 6%. The state average across all verticals is 14%. The national average across all tracked markets is 8.6%. New York general contractors are below both. Ninety-four percent of contractors in this vertical have no machine-readable structured data embedded in their sites. Every one of those sites has 100% website presence, meaning the infrastructure exists. The markup does not.
AI assistants like ChatGPT, Perplexity, and Google AI Overviews do not parse raw HTML to infer your service area or business category. They rely on structured signals: JSON-LD schema that explicitly declares your business type, contact information, service area, and geographic coordinates. Without that markup, a well-designed website is structurally invisible to AI parsing.
The geographic data reflects this gap directly. The top cities by average score, Ransomville at 51.2 and Astoria at 45.6, likely represent pockets of better Readability compliance. The bottom cities, Queens Village at 12.0, New York at 15.6, and Bayside at 16.0, reflect the combination of low structured data adoption and minimal review presence. Both factors suppress Legitimacy and Readability simultaneously.
To see how your site scores across all three categories, run your audit at /find.
Scoring Deep-Dive
The score distribution across New York's 3,539 general contractors is not a bell curve. It is a left-leaning pile concentrated in the 30-39 range, with almost nothing at the top.
| Score Range | Contractors | Share |
|---|---|---|
| 0-9 | 377 | 11% |
| 10-19 | 8 | 0% |
| 20-29 | 425 | 12% |
| 30-39 | 1,252 | 35% |
| 40-49 | 836 | 24% |
| 50-59 | 307 | 9% |
| 60-69 | 277 | 8% |
| 70-79 | 35 | 1% |
| 80-89 | 22 | 1% |
| 90-100 | 0 | 0% |
Thirty-five percent of all tracked contractors cluster in the 30-39 band. That is the largest single segment in the distribution, and it sits entirely in the Below 40 and low-Fair range. The formal tier breakdown confirms the shape:
| Tier | Score Range | Share |
|---|---|---|
| Excellent | 80-100 | 0.6% |
| Good | 60-79 | 16.1% |
| Fair | 40-59 | 66.6% |
| Below 40 | 0-39 | 16.7% |
The Fair tier dominates at 66.6%, but "fair" is not a safe position. A score in the 40-59 range still means incomplete structured data, thin review signals, and marginal Identity consistency. It is enough to exist in AI outputs occasionally. It is not enough to appear consistently or confidently.
The Excellent tier captures only 0.6% of all New York contractors across every vertical tracked in the state. Zero contractors score between 90 and 100. Twenty-two reach 80-89. That ceiling reflects a structural problem, not a gap that a few contractors are just barely missing.
General contractors rank near the bottom of every comparison available. The New York general contractor average of 33.7 trails plumbers, the leading vertical in the state, by 7.8 points. Plumbers average 41.5. Roofers average 38.8. Painters average 37.7. Even HVAC contractors average 39.8. The only vertical scoring lower than general contractors in New York is HVAC-R at 32.0.
The comparison to other states is equally unflattering. Ontario averages 38.5. Alberta averages 38.5. Quebec averages 37.9. Texas averages 35.7. New York's 36.4 state-wide average (across all verticals) sits below all four. The general contractor vertical at 33.7 drags further below that baseline.
Readability is the primary driver of that underperformance. The Readability category carries 40 of the 100 possible points, the largest single weight in the scoring model. New York general contractors have a 6% JSON-LD adoption rate. Roofers, the best-performing vertical on this metric in the state, reach 20%. The state average is 14%. General contractors are at less than one-third of what roofers achieve, and below half the state average.
The geographic pattern maps directly onto these structural gaps. The top-scoring cities cluster in western New York. Ransomville leads the state at 51.2. The Buffalo metro area concentrates the highest contractor volume: Buffalo alone has 93 general contractors tracked, the most of any city in the vertical. Cities like Tonawanda (42.7 avg) and Clarence (42.4 avg) also post above-average scores.
The bottom of the ranking is entirely NYC metro. Queens Village averages 12.0. New York (the city dataset) averages 15.6. Bayside averages 16.0. The gap between Ransomville and Queens Village is 39.2 points. That is not a regional quirk. It reflects the density of underprepared contractors in high-competition urban markets where AI-assisted hiring queries are most frequent.
The full state breakdown is available at the New York state report.
Action Steps
Readability is worth 40 points and has the worst adoption rate in this dataset. Start there.
1. Add JSON-LD structured data (up to 40 points at stake)
Only 6% of New York general contractors have JSON-LD on their sites. The national average across all tracked markets is 8.6%. You are below even that low baseline. Ninety-four percent of contractors in this vertical have no machine-readable markup, despite every one of them having a live website. That infrastructure exists. The structured data does not.
Add Schema.org LocalBusiness or Contractor markup to your site. The JSON-LD block should declare your business name, address, phone, service area, license number, and business category explicitly. This is not a design change. It is a small block of code in your page header that AI models can parse directly. Without it, your site contributes near-zero weight to the Readability category.
Mobile-friendliness and page speed also count toward Readability. All 3,539 tracked contractors have websites, but website quality, not just presence, determines how much of the 40-point ceiling you actually reach.
2. Build review volume (up to 35 points at stake)
The Legitimacy category is where most New York general contractors are leaving the most points on the table. The average rating of 4.44 stars across 3,539 contractors is solid. Review volume is not. The median review count in this dataset is 0.0. The bottom 50% average just 9 reviews and score 24.7/100. The top 10% average 391 reviews and score 66.8/100. That 43.1x review gap is the single largest structural divide in the data.
A strong rating without volume does not move the Legitimacy score meaningfully. AI systems weight documented social proof, not implied quality. Request reviews after every completed job. Prioritize Google, where AI systems most commonly pull citation signals.
License and insurance verification also affects Legitimacy. Unverified businesses cannot reach full Legitimacy scores regardless of review volume. Confirm your license status is accurate, current, and visible on your Google Business Profile and website.
3. Lock down NAP consistency (up to 25 points at stake)
The Identity category measures whether your business name, address, and phone match exactly across Google Business Profile, your website, licensing databases, and third-party directories. In high-density markets, citation conflicts are common. Queens Village averages 12.0, the lowest of any city tracked in this dataset. That score reflects both thin review signals and fragmented identity data in a saturated urban market.
Claim and verify your Google Business Profile if you have not. Then audit every directory listing where your business appears. The name, address, and phone number must be character-for-character identical across all sources. Abbreviations, suite number formatting, and phone number punctuation all create mismatches that suppress Identity scoring.
These three fixes address all 100 points in the scoring model, in order of available impact. Check where you currently stand at /find.
Frequently Asked Questions
What is an AI Trust Score for general contractors?
The AI Trust Score is a 100-point rating measuring how reliably AI assistants can identify, verify, and recommend your business. It breaks into three categories: Identity (25 points for NAP consistency), Legitimacy (35 points for reviews, ratings, and license verification), and Readability (40 points for website quality and structured data). New York general contractors average 33.7/100, meaning most businesses are returning partial or conflicting signals across all three categories. Check your score at /find.
How do general contractors get found by AI assistants?
AI assistants cross-reference structured signals, not just website content. The two primary inputs are documented review volume and machine-readable markup. The top 10% of tracked contractors in New York average 391 reviews and score 66.8/100. The bottom 50% average 9 reviews and score 24.7/100. That 43.1x review gap explains most of the difference between contractors AI systems recommend and contractors they skip entirely.
What is JSON-LD and why does it matter for my contracting business?
JSON-LD is a block of structured code embedded in your website that explicitly declares your business name, address, phone, service area, and business category in a format AI models can parse directly. Only 6% of New York general contractors currently use it, below even the 8.6% national average across all tracked markets. Without it, your website contributes near-zero weight to the Readability category, which is worth 40 points, the largest single category in the scoring model.
How can I improve my AI visibility as a general contractor in New York?
The three categories require three specific fixes, in order of available impact: add JSON-LD structured data (40 points), build documented review volume on Google (35 points), and audit NAP consistency across every directory listing (25 points). The median review count across all 3,539 tracked New York general contractors is 0.0, so even a modest review-building effort moves you above the majority of competitors in this vertical.
How does New York compare to other states for contractor AI readiness?
New York's state-wide average across all verticals is 36.4/100, which trails Ontario (38.5) and Alberta (38.5), but leads California (21.5) and Florida (19.8). The New York general contractor vertical at 33.7 sits below that state-wide baseline. No contractor in the state scores between 90 and 100, and only 22 reach the 80-89 range, indicating a ceiling problem across the entire market, not just this vertical. The full breakdown is in the New York state report.