The AI Visibility Gap
Texas has 16,902 landscapers tracked in the VerifiedNode system. The average AI Trust Score across all of them is 35.7/100. That number tells most of the story.
The landscaping vertical specifically averages 35.1/100, slightly below the statewide cross-vertical average. The gap between contractors who are visible to AI assistants and those who are effectively invisible is not marginal. It is structural.
2,166 contractors (13%) score between 0 and 9 out of 100. These businesses have websites, which means the technical infrastructure exists. But websites alone carry no weight with AI systems. Without structured, machine-readable signals, a site is invisible to the models that now field millions of service queries daily.
The scoring methodology makes the problem concrete. AI Trust Score breaks into three components: Identity (25 points: name, address, and phone consistency), Legitimacy (35 points: reviews, ratings, license and insurance verification), and Readability (40 points: website quality, JSON-LD structured data, mobile-friendliness). Readability is the largest single category, and it is where Texas landscapers lose the most ground.
JSON-LD adoption among Texas landscapers sits at 14%. The statewide average across all verticals is 16%. Both numbers are low. The national average across 65 states and regions tracked is 8.6%, which means Texas outperforms the broader benchmark, but that benchmark is critically low to begin with. Outperforming a poor standard is not the same as being competitive.
Website presence is 100%. Every contractor in this dataset has a web presence on record. That makes the JSON-LD gap more striking: the infrastructure exists, the structured data does not.
The score distribution tells the rest of the story:
| Score Range | Contractors | Share |
|---|---|---|
| 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 | 1.7% |
Only 1.7% of Texas landscapers reach the Excellent tier (80-100). 23.8% score below 40. The median review count across the entire dataset is 0.0, meaning half of all tracked contractors have zero reviews indexed where AI systems can read them. Reviews are a core input to the Legitimacy component, which carries 35 points. A median of zero on a 35-point category explains a significant share of the scoring deficit.
VerifiedNode tracks landscapers across 99 cities in Texas, from Houston (69 contractors) to smaller markets like Bastrop and Leander. The visibility gap appears in every market.
You can check where you fall in 60 seconds at /find. The Texas landscaper directory shows how contractors in your city are scoring relative to yours. The gap is measurable. So is the fix.
What AI Models Check
AI systems evaluating contractor recommendations pull from three scored categories. Understanding each one, and where Texas landscapers currently stand, clarifies exactly where the visibility gap originates.
Identity (25 points) covers NAP consistency: your business name, address, and phone number matching accurately across directories, Google Business Profile, and your own website. Inconsistencies here don't just hurt traditional SEO. AI models use consistency as a trust signal when deciding whether to surface a contractor in response to a service query. A phone number that differs between your Google listing and your website introduces doubt into a system that requires certainty.
Legitimacy (35 points) draws from review volume, star ratings, and license and insurance verification. Texas landscapers show genuine strength on one Legitimacy signal: the average rating across 16,902 tracked contractors is 4.51 stars. That is a solid quality indicator. But the median review count is 0.0. Half of all tracked Texas landscapers have zero reviews indexed where AI systems can read them. High ratings with no review volume carry limited weight. Legitimacy depends on both signals together, and volume is the gap that drags scores down.
Readability (40 points) is the largest single category, and the weakest for Texas landscapers. It covers website quality, JSON-LD structured data, mobile-friendliness, and page speed. JSON-LD is the critical failure point: only 14% of Texas landscapers have it implemented. Without JSON-LD, your website content exists for human browsers but remains largely unreadable to the AI models that parse structured data to answer service queries.
The comparison to other verticals makes the relative deficit clear:
| Vertical | Avg Score | JSON-LD Adoption |
|---|---|---|
| Plumbers | 42.3 | 23% |
| Painters | 41.1 | 17% |
| HVAC | 40.2 | 22% |
| Roofers | 40.0 | 25% |
| Foundation | 39.1 | 20% |
| Landscapers | 35.1 | 14% |
Plumbers lead all verticals at 42.3 average score and 23% JSON-LD adoption. Roofers, despite having a lower average score than plumbers, have the highest JSON-LD adoption at 25%. Landscapers sit at the bottom of both measures among the tracked verticals.
Every Texas landscaper in this dataset has a website. Website presence is a baseline Readability signal, and it's universally met. That makes the 14% JSON-LD rate harder to explain: the technical foundation exists, but the structured data layer that makes content machine-readable is absent for 86% of the vertical.
This is not a content problem or a reputation problem. It is a technical implementation gap that directly limits AI visibility.
The full breakdown for Texas landscapers, including city-level comparisons, is available in the Texas state market report. Individual scores are searchable by business name in the Texas landscaper directory.
Score Distribution: Where 16,902 Texas Landscapers Actually Stand
The full histogram reveals a market concentrated in the middle, with almost nothing at the top.
| Score Range | Contractors | Share |
|---|---|---|
| 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 | 0% |
The 30–39 band holds 5,004 contractors, 30% of the entire state. Add the 40–49 band and you have half the market clustered between 30 and 49: solidly Fair, nowhere near competitive for AI-driven recommendations.
The Excellent tier (80–100) contains 253 contractors total: 229 in the 80–89 range, 24 above 90. That is 1.7% of 16,902 businesses. The Good tier (60–79) adds another 17.7%. Everyone else, 80.5% of Texas landscapers, scores below 60.
The Gap Between Top Performers and Everyone Else
The top 10% of Texas landscapers average 69.7/100 with 239 reviews. The bottom 50% average 22.0/100 with 136 reviews. That is a 1.8x review gap in volume, and a 47.7-point scoring gap that determines which contractors AI systems surface and which ones they ignore.
Reviews feed the Legitimacy component directly (35 points). A contractor averaging 239 reviews has a meaningfully stronger signal than one averaging 136, even before accounting for structured data and identity consistency. The review gap is not incidental. It compounds across all three scoring categories.
Why Landscapers Score Lower Than Every Other Vertical Except One
The landscaper vertical averages 35.1/100, below the statewide cross-vertical average of 35.7. Only general contractors score lower, at 34.1 average with 12% JSON-LD adoption.
The primary drag is Readability (40 points), specifically JSON-LD structured data. Only 14% of Texas landscapers have it implemented. Every other measured vertical outperforms that number: roofers lead at 25%, plumbers at 23%, HVAC at 22%, foundation contractors at 20%, painters at 17%. Landscapers and general contractors sit at the bottom together.
The 86% of landscapers without JSON-LD are not failing on content or reputation. They are failing on a single technical layer that AI systems require to parse and trust their web presence.
City-Level Performance
Geographic performance varies significantly across the 99 Texas cities where landscapers are tracked. The top five cities by average score:
- Haslet: 47.2/100
- Round Rock: 47.0/100
- Cedar Park: 46.4/100
- Leander: 46.0/100
- Bastrop: 45.7/100
These markets still average below 50, which is Fair territory. But they outperform the state average by 10 to 12 points, indicating that local competitive pressure or higher baseline digital investment is pulling scores up.
The bottom cities tell a different story. Texas City, Smithville, Santa Fe, San Leon, and Red Rock all average 0.0/100. These are not markets with limited contractor presence. They are markets where AI visibility infrastructure is entirely absent.
The full city-by-city breakdown for the state is in the Texas landscaper directory. If you want to see where your score falls relative to contractors in your city, check your business at /find.
Action Steps: How to Improve Your AI Trust Score
The state average is 35.7/100. Scoring 60+ puts you in the top 19.4% of Texas landscapers (the combined Good and Excellent tiers). That threshold is reachable. The actions below are ranked by point weight.
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Readability: 40 Points
This is the largest category and the one where Texas landscapers lose the most ground.
Add JSON-LD structured data. Only 14% of Texas landscapers have it implemented. The national average across 65 tracked regions is 8.6%, so Texas outperforms the global benchmark but still leaves 86% of the vertical without machine-readable markup. This is a single technical fix: a structured data block added to your website that tells AI systems exactly who you are, what you do, and where you operate. No other action in this list has a higher ceiling.
Fix mobile responsiveness and page speed. Readability scoring accounts for both. A site that loads slowly or breaks on mobile loses points in this category regardless of how good the content is.
Make your content machine-readable. Clean heading structure, clear service descriptions, and location signals embedded in your page copy all contribute to how AI models parse and weight your site.
Contractors in Round Rock average 47.0 and Cedar Park average 46.4: both above the 35.7 state floor. The Readability gap is the most direct path to matching or exceeding those benchmarks.
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Legitimacy: 35 Points
Build review volume systematically. The median review count across 16,902 Texas landscapers is 0.0. Half the market has no reviews indexed where AI systems can read them. The top 10% of performers average 239 reviews and score 69.7/100. The bottom 50% average 136 reviews and score 22.0/100. Volume is the variable. Ask every completed job for a review. Build it into your close process.
Verify your license and insurance information. License and insurance verification feeds directly into Legitimacy scoring. If that information is not publicly confirmed and indexed, you lose points regardless of your actual credentials.
Protect your rating. The Texas landscaper average is 4.51 stars, which is a strong signal. Legitimacy scoring rewards high ratings, but a decline hurts. Maintain response practices that protect that number.
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Identity: 25 Points
Audit your NAP consistency. Your business name, address, and phone number must match exactly across Google Business Profile, Yelp, Angi, and every other directory where you appear. A single digit difference in a phone number or an abbreviated street name introduces inconsistency that AI systems treat as a trust deficit.
Complete and update your Google Business Profile. Category selection, service areas, hours, and business description all contribute to Identity scoring. Gaps here cost points that are straightforward to recover.
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Hitting 60 does not require perfection across all three categories. It requires closing the most obvious gaps: add JSON-LD, build review volume above zero, and confirm your business information is consistent everywhere it appears.
Check your current score at /find. For state-level context on where Texas landscapers stand across all verticals, see the Texas state market report.
Frequently Asked Questions
What is an AI Trust Score, and how is it calculated?
AI Trust Score is a 100-point measure of how visible and credible your business appears to AI systems like ChatGPT and Google's AI Overviews. It breaks into three components: Identity (25 points: name, address, and phone consistency), Legitimacy (35 points: reviews, ratings, license and insurance verification), and Readability (40 points: website quality, JSON-LD structured data, mobile-friendliness). Of 16,902 Texas landscapers tracked, only 1.7% reach the Excellent tier of 80 or above.
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How do AI systems find and recommend contractors?
AI models pull from structured, machine-readable signals: consistent business information, verified credentials, review volume, and structured data markup on your website. A website alone is not enough. The median review count across Texas landscapers is 0.0, meaning half the market has no review signal indexed where AI systems can read it. Contractors with that gap are effectively absent from AI-generated recommendations regardless of their actual reputation.
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What is JSON-LD, and why does it matter for my landscaping business?
JSON-LD is a structured data format embedded in your website that tells AI systems exactly who you are, what services you offer, and where you operate. Without it, your site exists for human browsers but remains largely unreadable to AI models. Only 14% of Texas landscapers have JSON-LD implemented, below the statewide cross-vertical average of 16%. The national average across 65 tracked regions is 8.6%. This is a single technical fix with the highest point ceiling in the Readability category (40 points).
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How do Texas landscapers compare to other states?
Texas landscapers average 35.1/100 on AI Trust Score. Ontario averages 38.5, Quebec 37.9. Within Texas, landscapers rank near the bottom of all tracked verticals, above only general contractors (34.1). Plumbers lead the state at 42.3 average with 23% JSON-LD adoption. The gap is primarily technical, not reputational.
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What score do I need to be competitive?
Scoring 60 or above places you in the top 19.4% of Texas landscapers. The top 10% average 69.7/100 with 239 reviews. That threshold is reachable by closing three gaps: implementing JSON-LD, building review volume above zero, and confirming NAP consistency across all directories. Check your current score at /find to see exactly where you stand.