The AI Visibility Gap
Every painter in New York has a website. Only 14% have the structured data that makes them visible to AI recommendation engines.
That gap explains why 3,539 painters tracked in New York carry an average AI Trust Score of 36.4/100, barely above the median of 37.0/100. Having a website is the baseline. What AI assistants actually use to surface contractors are structured signals: JSON-LD markup, verified identity consistency, review volume, and mobile-optimized content. Most New York painters have none of these in place.
The numbers are direct. Of 3,539 painters in the state, roughly 3,044 lack JSON-LD structured data entirely. That is the technical foundation AI tools use to parse your business name, service area, license status, and contact details. Without it, you are present on the web but absent from AI-generated recommendations.
Score tier distribution across 3,539 contractors:
| Tier | Score Range | % of State | Approx. Contractors |
|---|---|---|---|
| Excellent | 80-100 | 0.6% | ~21 |
| Good | 60-79 | 16.1% | ~570 |
| Fair | 40-59 | 66.6% | ~2,357 |
| Below Average | 0-39 | 16.7% | ~591 |
Only 21 painters in the entire state sit in the Excellent tier. Another 377 contractors score between 0 and 9 out of 100, meaning they have a website and essentially nothing else working in their favor. The bottom 50% average 24.7/100, while the top 10% average 66.8/100 and carry 391 reviews on average compared to just 9 for the lower half. That is a 43.1x review gap driving most of the score separation.
The review count situation is particularly striking. The median review count across all 3,539 tracked painters is 0.0. Half the painters in New York have not accumulated a single indexed review signal that AI systems can use to assess legitimacy.
AI Trust Scores are built on three components: Identity (25 points: business name, address, and phone consistency), Legitimacy (35 points: reviews, ratings, and license verification), and Readability (40 points: website quality, JSON-LD structured data, and mobile performance). The Readability category alone accounts for the largest share of the score, and it is where New York painters are losing the most ground.
New York's 36.4 average also trails comparable markets. Ontario averages 38.5/100 across its contractor base, and Manitoba averages 41.7/100, both with lower website presence rates than New York's 100%. New York painters have the infrastructure. The signal quality is not there.
You can see exactly where your profile stands at /painter/new-york/ or run your own audit at /find. The full state breakdown is available in the New York market report.
The visibility gap is measurable. So is the fix.
What AI Models Check
The AI Trust Score breaks down into three components, and understanding each one explains exactly where New York painters are losing ground.
Identity (25 points) covers NAP consistency: your business name, address, and phone number matching across every directory, citation, and your Google Business Profile. This is the floor. If AI systems encounter conflicting contact details across platforms, they discount your profile. For most painters, this category is not the primary problem. The damage happens elsewhere.
Legitimacy (35 points) measures review volume, average rating, and license and insurance verification. New York painters average 4.44 stars across the state, which is a solid rating signal. The review count picture is different. The state average is 104.0 reviews, but the median is 0.0. That means more than half of the 3,539 tracked painters have no indexed reviews at all from AI systems' perspective. A 4-star rating on zero reviews does not move your score.
The top 10% of performers average 391 reviews. The bottom 50% average 9. That 43.1x gap accounts for most of the score separation between painters who appear in AI-generated recommendations and those who do not. Review accumulation is not a vanity metric here. It is a direct input into 35 points of your score.
Readability (40 points) is the largest category and the most critical failure point for New York painters. This covers website quality, mobile-friendliness, and JSON-LD structured data. Every painter tracked in New York has a website. Only 14% have JSON-LD.
JSON-LD is the technical markup that tells AI systems what your business actually is: your service categories, geographic coverage, license status, and contact schema. Without it, your website is present but unreadable to the systems that generate contractor recommendations. Eighty-six percent of New York painters are in this position.
That structural gap is why the painter vertical averages 37.7/100 across New York, trailing plumbers at 41.5/100. Plumbers lead every tracked vertical in the state, partly because their JSON-LD adoption rate sits at 17%, three points above painters. Three percentage points of structured data adoption produces a 3.8-point score advantage at the vertical level.
The Readability category is also where the difference between "has a website" and "is visible to AI" becomes concrete. A mobile-optimized site with properly formatted JSON-LD and clear service-area signals scores meaningfully higher than a site that loads on a phone but contains no machine-readable data.
All three categories compound. Strong Identity with weak Legitimacy and no structured data still produces a below-average score. The painters in the top 10% are not winning on one dimension. They have review volume, NAP consistency, and structured data working together.
Check where your profile currently stands at /find, or browse the full state directory at /painter/new-york/.
Scoring Deep-Dive
New York painters average 37.7/100 across the vertical, ranking 5th out of 9 contractor categories tracked in the state. That places painters ahead of general contractors (33.7) and HVAC-R (32.0), but behind every trade from plumber down to landscaper.
Vertical rankings, New York (avg AI Trust Score):
| Vertical | Avg Score |
|---|---|
| Plumber | 41.5 |
| Electrician | 40.8 |
| Foundation | 40.8 |
| HVAC | 39.8 |
| Roofer | 38.8 |
| Landscaper | 38.4 |
| Painter | 37.7 |
| General Contractor | 33.7 |
| HVAC-R | 32.0 |
The painter-specific JSON-LD adoption rate is 15%, one point above the all-vertical state average of 14%. That marginal advantage does not close the gap with plumbers at 17%, and it still means 85% of New York painters have no structured data in place.
Full score distribution across 3,539 tracked painters:
| Score Band | 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% |
The concentration in the 30-39 band is the defining feature of this distribution. Over a third of all painters in the state land in a single 10-point window, suggesting a floor of basic web presence with no additional signal investment. No painter in New York scores in the 90-100 range. Only 22 reach 80-89.
Readability, the largest scoring category at 40 points, drives this compression. With 86% of painters lacking JSON-LD, the upper end of that category is inaccessible to the vast majority of the market.
Geographic Spread
The city-level data reveals a pattern that is not primarily about market size. The highest-scoring cities are smaller markets in Western New York, while the lowest-scoring cities cluster in the New York City metro area.
Top 5 cities by avg AI Trust Score:
| City | Avg Score |
|---|---|
| Ransomville | 51.2 |
| Astoria | 45.6 |
| Depew | 43.3 |
| Tonawanda | 42.7 |
| Clarence | 42.4 |
Bottom 5 cities by avg AI Trust Score:
| City | Avg Score |
|---|---|
| Queens Village | 12.0 |
| New York | 15.6 |
| Bayside | 16.0 |
| Jamaica | 18.0 |
| Glendale | 21.8 |
The 39.2-point gap between Ransomville (51.2) and Queens Village (12.0) is not a data anomaly. Smaller markets tend to have fewer painters with overlapping citations and conflicting NAP data, which helps Identity scores. The NYC-area low scores likely reflect high contractor density, inconsistent directory listings, and lower structured data investment in high-volume urban markets.
Painter coverage in the vertical city data is concentrated in the Buffalo corridor: Buffalo (4 painters), Tonawanda (3), and North Tonawanda (3) account for 10 of the 14 tracked painters across all 7 cities. West Amherst, Amherst, Depew, and Brooklyn each have 1.
Cross-State Context
New York's 14% JSON-LD adoption rate sits above the tracked national average of 8.6% across 65 states and regions. That is a real structural advantage relative to most markets. The avg score of 36.4/100 still trails Manitoba (41.7) and Ontario (38.5), both of which have lower website presence rates than New York's 100%.
The implication is direct: New York painters have the infrastructure, and a better-than-average rate of structured data adoption, but the scores reflect that most of the market stops there. Website plus 15% JSON-LD coverage does not produce a competitive AI Trust Score when Legitimacy signals (review volume, license verification) remain thin across more than half the market.
The full state breakdown, including city-level data and vertical comparisons, is available in the New York market report.
Action Steps
Readability accounts for 40 of 100 possible points, and it is where New York painters lose the most ground. Start here.
Readability (40 points): Fix structured data first
JSON-LD structured data is the single highest-leverage action available. Painters' adoption rate sits at 15%, meaning 85% of the market has no machine-readable schema telling AI systems what services you offer, where you work, or how to contact you. Adding JSON-LD to your site is a one-time technical fix that directly unlocks the upper range of the largest scoring category.
After JSON-LD, audit mobile performance and page speed. A site that is technically mobile-responsive but slow to load still signals poor Readability. The combination of structured data, mobile optimization, and page speed is what separates painters who score in the 60+ range from those stuck in the 30-39 band where 1,252 painters (35% of the state) currently sit.
Roofers, a directly comparable trade, carry 20% JSON-LD adoption and average 38.8/100. That 5-percentage-point structured data advantage contributes to a 1.1-point score gap at the vertical level. Small adoption differences compound.
Legitimacy (35 points): Close the review gap
The top 10% of painters in New York average 391 reviews. The bottom 50% average 9. That 43.1x gap is the primary driver of score separation between painters who appear in AI recommendations and those who do not. The state average of 104.0 reviews looks reasonable until you see that the median is 0.0, meaning more than half of 3,539 tracked painters have no indexed review signal at all.
A systematic review request process (post-job follow-up, direct links to your review profile) is the most direct way to move your Legitimacy score. Alongside volume, verify your license and insurance credentials on your profile. Verification status feeds directly into this category and is one of the faster wins available since it does not require accumulation over time.
Identity (25 points): Audit your NAP consistency
Business name, address, and phone number need to match exactly across every directory, citation site, and your Google Business Profile. Conflicting details cause AI systems to discount your profile. Run a citation audit, correct mismatches, and keep your Google Business Profile current. This category is the smallest of the three, but inconsistent NAP data introduces signal noise that suppresses your score across all three categories.
The opportunity in plain terms: only 16.7% of New York painters currently score 60 or above. No painter in the state has reached 90-100. The ceiling is achievable with all three categories optimized, and the 30-39 band where more than a third of the market sits is one or two targeted fixes away from meaningful movement.
Check your current score at /find and see how you rank against the full New York painter market at /painter/new-york/.
Frequently Asked Questions
What is an AI Trust Score and why does it matter for my painting business?
An AI Trust Score is a 0-100 rating that measures how visible and credible your business appears to AI recommendation engines like ChatGPT, Perplexity, and Google's AI Overviews. It breaks into three categories: Identity (25 points), Legitimacy (35 points), and Readability (40 points). New York painters currently average 36.4/100, meaning most are effectively invisible to AI-generated contractor recommendations. You can check your own score at /find.
How do AI assistants actually find and recommend painters?
AI systems parse structured signals from your web presence: consistent NAP data, review volume, license verification, and machine-readable schema markup. The top 10% of New York painters average 391 reviews and a 66.8/100 score. The bottom 50% average 9 reviews and a 24.7/100 score. That 43.1x review gap is the single largest factor separating painters who appear in AI recommendations from those who do not.
What is JSON-LD and why do 85% of New York painters not have it?
JSON-LD is structured data markup that tells AI systems your service categories, geographic coverage, and contact details in machine-readable format. Without it, your website exists but cannot be reliably parsed by AI recommendation engines. Only 15% of New York painters have JSON-LD in place, leaving 85% of the market locked out of the Readability category's upper scoring range. It is a one-time technical implementation, not an ongoing maintenance task.
How do New York painters compare to other states and regions?
New York's 36.4/100 average trails Manitoba (41.7) and Ontario (38.5), despite New York having a 100% website presence rate versus 72% and 75% respectively for those regions. Infrastructure is not the gap. Review volume and structured data adoption are. New York's JSON-LD rate of 14% does exceed the tracked cross-market average of 8.6%, but that advantage is not translating into competitive scores.
What score does a New York painter need to be competitive?
Scoring 60 or above puts you in the Good or Excellent tier, where only 16.7% of New York painters currently land. No painter in the state has reached 90-100. The 30-39 band holds 1,252 painters (35% of the market), most of whom are one or two targeted fixes from meaningful movement. Browse the full competitive landscape at /painter/new-york/.