The AI Visibility Gap
Of 16,902 general contractors tracked in Texas, roughly 14,866 produce no structured data that AI assistants can reliably read. That number comes directly from the 12% JSON-LD adoption rate for the general contractor vertical: the lowest of any tracked trade in Texas, four points below the statewide average of 16%, and still only 3.4 points above the global average of 8.6%.
Every one of those 16,902 contractors has a website. That 100% website presence figure looks strong until you understand what AI systems actually require. A website is human-readable. JSON-LD structured data is machine-readable. When an AI assistant fields a query like "find a licensed general contractor in Austin," it surfaces results based on structured, verifiable signals. A website with no markup is effectively a locked filing cabinet: the information exists, but nothing can extract it automatically.
The score distribution confirms how deep this problem runs:
| Score Range | Contractors | Share of Total |
|---|---|---|
| 0-9 | 2,166 | 13% |
| 10-29 | 2,856 | 17% |
| 30-39 | 5,004 | 30% |
| 40-59 | 4,885 | 29% |
| 60-79 | 1,738 | 10% |
| 80-100 | 253 | 1.5% |
The general contractor vertical averages 34.1/100, below the statewide average of 35.7/100. Only 1.7% of all Texas contractors across the platform score in the Excellent tier (80-100): roughly 287 businesses out of 16,902. The bottom of the distribution is severe: 2,166 contractors score between 0 and 9, indicating near-zero AI visibility across all three scoring categories: Identity (25 points), Legitimacy (35 points), and Readability (40 points).
Geography compounds the problem. General contractors operate across 129 cities in Texas, but several markets register average scores of 0.0/100: Texas City, Smithville, Santa Fe, San Leon, and Red Rock. These aren't gaps in coverage. They reflect markets where every tracked contractor produces insufficient structured signals to register a meaningful score.
The top-performing cities show what's possible when contractors invest in digital infrastructure. Haslet averages 47.2/100, Round Rock 47.0/100, and Cedar Park 46.4/100. Those numbers aren't exceptional in an absolute sense, but they're 38% above the general contractor vertical average of 34.1/100. The gap between the top cities and the bottom isn't driven by business quality. It's driven by structured data.
The core dynamic is straightforward: AI systems don't reward the best contractor. They surface the most legible one. Right now, the vast majority of Texas general contractors are invisible to that process by default.
Check where you stand in the Texas general contractor directory or run your own score at /find.
What AI Models Check
The AI Trust Score runs on three categories. Understanding the weight of each one explains why most Texas general contractors are losing visibility before a single query is answered.
Identity: 25 points. This category measures NAP consistency: whether your business name, address, and phone number match across your website, Google Business Profile, and third-party directories. Inconsistencies here don't just cost Identity points. They create conflicting signals that reduce confidence across the entire scoring model.
Legitimacy: 35 points. This is the largest single category, built from review volume, star ratings, and verified license and insurance status. Texas general contractors average 4.51 stars, which is a strong signal. The problem is volume. The average review count across 16,902 contractors is 118.0, but the median is 0.0. That median tells you the real story: review volume is heavily concentrated among a small number of contractors, while the majority carry no review record that AI systems can read and weight.
Readability: 40 points. The highest-weighted category covers website quality, JSON-LD structured data, mobile-friendliness, and page speed. This is where Texas general contractors collapse. JSON-LD adoption for the vertical sits at 12%, the lowest of any tracked trade in the state. Plumbers, the leading vertical in Texas, average 42.3/100 and carry 23% JSON-LD adoption: nearly double the rate for general contractors. That 11-point gap in average scores between the two verticals traces directly to Readability.
The performance gap between contractors who get Readability right and those who don't is measurable:
| Tier | Avg Score | Avg Reviews |
|---|---|---|
| Top 10% | 69.7/100 | 239 |
| Bottom 50% | 22.0/100 | 136 |
Top performers carry 1.8x more reviews than the bottom half, and they score 47.7 points higher on average. Neither of those gaps is accidental. Contractors in the top 10% have structured data that lets AI systems confirm their Identity, validate their Legitimacy, and parse their website content without friction.
The bottom 50% average 22.0/100. At that score level, Identity signals are incomplete, review records are thin or missing, and websites produce no machine-readable output. An AI assistant processing a contractor query in that range has insufficient data to surface the business confidently.
Readability is the critical failure point for this vertical. You can have a perfect rating and a legitimate business history, but if your site carries no JSON-LD markup and scores poorly on mobile performance, 40 points of the possible 100 are essentially unavailable to you.
The fix is specific and measurable. Check your current position across all three categories at /find, or browse by city in the Texas general contractor directory to see how your score compares to contractors operating in the same market.
Score Distribution: Where 16,902 Contractors Actually Land
The full histogram shows a distribution that clusters in the middle, with a long and damaging tail at the bottom.
| Score Range | Contractors | Share of Total |
|---|---|---|
| 0-9 | 2,166 | 13% |
| 10-19 | 403 | 2% |
| 20-29 | 2,453 | 15% |
| 30-39 | 5,004 | 30% |
| 40-49 | 3,388 | 20% |
| 50-59 | 1,497 | 9% |
| 60-69 | 1,410 | 8% |
| 70-79 | 328 | 2% |
| 80-89 | 229 | 1% |
| 90-100 | 24 | <1% |
Thirty percent of Texas general contractors score between 30 and 39. That band tells a specific story: these contractors have established Identity signals (a consistent name, address, and phone number) and at least partial Legitimacy (some review activity or a verified listing), but their Readability scores are pulling the total down sharply. With 12% JSON-LD adoption across the vertical, most of the 40 Readability points are simply not on the table.
The tier breakdown confirms how compressed the top of the market really is. Only 1.7% of contractors reach Excellent (80-100). Good (60-79) accounts for 17.7%. That means 80.6% of Texas general contractors score below 60, and 23.8% score below 40, the threshold where AI visibility is effectively negligible.
Only 24 contractors in the entire state score between 90 and 100.
How Texas Compares to Other Markets
The general contractor vertical average of 34.1/100 sits below several comparable markets, but well above others. The context matters.
Texas outperforms California (21.5/100), Florida (19.8/100), Pennsylvania (23.5/100), and Illinois (17.2/100). Those states have lower scores despite similar or higher JSON-LD adoption in adjacent verticals, which suggests Texas contractors are at least maintaining stronger Identity and Legitimacy signals on average.
The gap opens when you compare Texas to Canadian provinces. Ontario averages 38.5/100. Alberta also averages 38.5/100. Manitoba leads at 41.7/100, a full 7.6 points above the Texas general contractor average. The structural difference is Readability: Manitoba's contractors, operating in a smaller and less competitive market, appear to carry better structured data practices relative to their peer group.
For broader state context across all Texas verticals, see the Texas market report.
The Review Concentration Problem
The average review count across all 16,902 tracked Texas general contractors is 118.0. The median is 0.0. Those two numbers together define the core Legitimacy problem for this vertical.
Reviews are not evenly distributed. A small number of contractors carry the volume that drives the average up, while the majority of the market carries no review record that AI systems can parse with confidence.
The performance split between tiers makes this concrete:
| Tier | Avg Score | Avg Reviews |
|---|---|---|
| Top 10% | 69.7/100 | 239 |
| Bottom 50% | 22.0/100 | 136 |
Top performers average 239 reviews. The bottom 50% average 136. That 1.8x gap in review volume doesn't explain the entire 47.7-point score difference between tiers, but it is a direct multiplier on Legitimacy points. More reviews, more consistently structured, signal to AI systems that a business is active, established, and verifiable.
Readability remains the single weakest category for Texas general contractors. JSON-LD adoption at 12% is the lowest of any tracked trade in the state and confirms that 40 points of potential score are functionally out of reach for the vast majority of contractors operating across 129 Texas cities.
Check your score across all three categories at /find.
Action Steps
Readability carries the most points (40) and has the worst adoption rate in the vertical. Start there.
1. Add JSON-LD structured data (Readability: 40 points at stake)
Only 12% of Texas general contractors have implemented JSON-LD. That means 88% of the vertical is leaving the highest-weighted scoring category largely inaccessible. The global average across all 65 tracked markets is 8.6%, so Texas is already above baseline, but that comparison obscures how much ground remains. Adding a properly structured JSON-LD block to your website is the single highest-leverage technical change available to you. It tells AI systems your business name, service area, license status, and contact information in a format they can read without interpretation. The average Texas general contractor scores 34.1/100. Adding JSON-LD alone, combined with mobile responsiveness and basic page speed improvements, can unlock a substantial portion of the Readability ceiling.
2. Build review volume systematically (Legitimacy: 35 points at stake)
The median review count across 16,902 Texas general contractors is 0.0. The top 10% average 239 reviews. If your review count is below 100, you are operating below the threshold where AI systems weight Legitimacy signals with high confidence. A post-project review request process, consistently applied, is the most direct path to closing this gap. Texas contractors average 4.51 stars, so the quality signal is already strong for most of the market. Volume is the missing variable.
3. Verify license and insurance on your profile (Legitimacy: 35 points at stake)
License and insurance verification are direct inputs into the Legitimacy category. A verified profile produces a more complete signal than ratings alone. If your status is unverified, you are capping your Legitimacy score regardless of review volume or star rating.
4. Audit NAP consistency (Identity: 25 points at stake)
Check that your business name, address, and phone number match exactly across your website, Google Business Profile, and every directory where you appear. A single inconsistency, an old address, a tracking phone number that replaced your main line, introduces conflicting signals that reduce confidence across the entire scoring model. The fix is manual but high-impact.
The stakes in a single number: moving from the general contractor average of 34.1/100 to 60 or above places you in the top 19.4% of all tracked Texas contractors. Right now, only 253 contractors across 16,902 reach the Excellent tier (80-100). The cities already trending upward, Round Rock at 47.0/100 and Cedar Park at 46.4/100, show that mid-market improvement is achievable without extraordinary resources. The gap between those cities and the vertical average of 34.1/100 traces to structured data and review volume, not business quality.
Check your current score across all three categories at /find, or see how you compare to contractors in your city at the Texas general contractor directory.
Frequently Asked Questions
What is an AI Trust Score for contractors?
The AI Trust Score is a 0-100 rating that measures how legible your business is to AI assistants and search systems. It runs across three categories: Identity (25 points, covering business name, address, and phone consistency), Legitimacy (35 points, covering reviews, ratings, and license verification), and Readability (40 points, covering website quality, JSON-LD structured data, and mobile performance). The average Texas general contractor scores 34.1/100. Only 1.7% of the 16,902 contractors tracked in Texas reach the Excellent tier (80-100). Check your score at /find.
How do general contractors get found by AI assistants?
AI assistants surface results based on structured, verifiable signals: consistent NAP data, confirmed license status, review volume, and machine-readable markup. Contractors who score in the top 10% average 69.7/100 and carry 239 reviews on average. Contractors in the bottom 50% average 22.0/100. At that level, AI systems have insufficient data to surface a business confidently. The gap is not about business quality. It reflects how legible your digital presence is to automated systems.
What is JSON-LD and why do contractors need it?
JSON-LD is structured data markup embedded in your website that tells AI systems your business name, service area, license status, and contact details in a format they can read without interpretation. Only 12% of Texas general contractors have implemented it. That is the lowest adoption rate of any tracked trade in the state. Without it, the Readability category (40 points, the highest-weighted category in the scoring model) is largely inaccessible.
How do Texas general contractors compare to other states for AI visibility?
Texas general contractors average 34.1/100, which places the state above California (21.5/100), Florida (19.8/100), and Pennsylvania (23.5/100), but below Ontario (38.5/100) and Manitoba (41.7/100). The structural gap between Texas and the leading provinces traces to Readability: JSON-LD adoption and structured data practices. See the full comparison in the Texas market report.
What review count do I need to rank well with AI?
The median review count across all 16,902 tracked Texas general contractors is 0.0. Top 10% performers average 239 reviews. If your count is below 100, you are operating below the threshold where Legitimacy signals carry consistent weight. Texas contractors already average 4.51 stars. Volume is the gap.