Agent View
The site as an AI agent gets it, beside the site as a person sees it. What it can read, what it has to cut away, and what it never sees.
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Request an Estimate
Landscape Services
Village Green Landscaping
2026-04-01T22:27:53-04:00
Year-Round Property Care
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Landscape Services[Village Green Landscaping](https://villagegreenlandscape.com/author/vilgrelan/)2026-04-01T22:27:53-04:00 Year-Round Property Care # Residential & Commercial Landscape Services Refined over 40 years, our maintenance package includes seasonal cleanups, weekly mowing, fine gardening, and pruning. From vast spaces down to the intricate details we are built to handle it all. - Spring Cleanup - Bed Edging - Weekly Mowing - Ornamental Pruning - Fine Gardening - Fall Cleanup - Winter Protection - Snow & Ice Management [Get an Estimate](https://villagegreenlandscape.com/services/#estimate) your own sanctuary ## Outdoor Living & Construction We create timeless outdoor spaces. From initial concept to final installation, our team follows through to execute your vision. Our skilled craftsmen build patios, walkways, retaining walls, and water features that reflect your own individual style. - Patio Installation - Walkway & Garden Paths - Retaining Walls - Pothole Repair & Patching - Water Features - Commercial Hardscape - Seasonal Color - Landscape Lighting [Get an Estimate](https://villagegreenlandscape.com/services/#estimate) Vibrant, Healthy Lawns ## Lawn Care & Fertilization Green is our namesake. We’re here to create a healthy and resilient lawn that you are proud of. Our experts will evaluate your lawn, and carefully tailor our services to fit your needs. - Fertilization - Weekly Mowing - Grub Control - Weed Control - PH Balancing - Mosquito & Tick Control - Aeration & Overseed - Commercial Lawn Care [Get an Estimate](https://villagegreenlandscape.com/services/#estimate) Reliable Winter Safety ## Snow & Ice Management When winter weather arrives, so do we. Our proactive approach to snow and ice ensures your property is safe and accessible all winter long. We’ve seen countless storms come and go, and have remained sturdy through them all. - Driveway Snow Plowing - Commercial Snow Plowing - Parking Lot Snow Plowing - Commercial Snow Removal - Ice Control & Salting - Sidewalk & Walkway Clearing - Proactive Storm Monitoring - Snow Management Contracts [Get an Estimate](https://villagegreenlandscape.com/services/#estimate)
An agent gets this page whole: its own text is in the HTML the server sends.
The figures
33 pages, set against the 167,893 sites with figures.
- Readablehigher is better
- 97%32 of 33 pages
- All 167,893 sitesBetter than 38%
Pages whose own text is in the HTML the server sends, enough of it for their kind.
- Cleanhigher is better
- 90%middle page
- All 167,893 sitesBetter than 85%
Of the words before script, the share that are the page and not menus, footer and forms.
- Costshown, never scored
- 47,593tokens
- About 1,442 a page
To read every page once. A long page that answers well is not worse for it. Tokens are estimated at about 4 characters each.
How its pages spread on Clean
33 pages measured.
Against its rivals
The sites nearest it by what they do, with figures. Close means similar work, not better.
| Readinghigher is better | Costnot scored | ||
|---|---|---|---|
| Site | Readable | Clean | Tokens a page |
| jimslandscaping.comThis site, 33 pages | 97% | 90% | 1,442 |
| foranlawnandyard.com47 pages | 100% | 85% | 1,856 |
| wrightlandscape.ca100 pages | 100% | 64% | 1,541 |
| maionelandscapes.com98 pages | 94% | 20% | 2,763 |
Third of 4 on Readable, first on Clean.
AI crawler access
What robots.txt says to each, as read on October 23, 2026. 8 of 8 may read the site.
| Crawler | robots.txt says | Used for | The line that decides |
|---|---|---|---|
| GPTBotOpenAI | Not named | Training models | Falls to User-agent: * |
| OAI-SearchBotOpenAI | Not named | ChatGPT search | Falls to User-agent: * |
| ChatGPT-UserOpenAI | Not named | A page a person asks about | Falls to User-agent: * |
| ClaudeBotAnthropic | Not named | Training models | Falls to User-agent: * |
| Claude-SearchBotAnthropic | Not named | Claude’s search | Falls to User-agent: * |
| PerplexityBotPerplexity | Not named | Perplexity search | Falls to User-agent: * |
| Google-ExtendedGoogle | Not named | Training Gemini | Falls to User-agent: * |
| bingbotMicrosoft | Not named | Bing and Copilot | Falls to User-agent: * |
Every AI crawler mttr checks may read it. Not named means the rules for every crawler apply.
Every page
Worst first. Each opens in Agent View at the top.
1 page is thin before script runs. Too few words of their own are in the HTML for a page of their kind. Render the rest on the server.Open the action plan
| What an agent getshigher is better | Signals | Costnot scored | ||||
|---|---|---|---|---|---|---|
| Page | Words | Clean | Readable | Main heading | Tokens | What it loses |
| /request-an-estimate | 23 | 11% | No | Yes | 57 | Thin |
Show where it stands
A card, a badge and a line, each with the figures.
A badge for the site
<a href="https://mttr.si/agent-view/jimslandscaping.com"><img src="https://mttr.si/agent-view/jimslandscaping.com/badge.svg" alt="Agent View: 97% readable, 90% clean" height="20"></a>
The figures in one line
jimslandscaping.com in Agent View: 97% of pages readable, better than 38% of sites; 90% clean; 47,593 tokens to read all 33 pages. mttr.si/agent-view/jimslandscaping.com
What to do next
Fix the pages, let an agent do it, and read the site again to see the figures move.
Fix what agents miss
- Give 5 pages a main headingClearer
- Render the rest of 1 page on the serverReadable
Connect your agent
Claude Code, Codex or Cursor reads the site’s fixes over MCP, fixes a page in your code, has mttr read it again, and checks the fix landed.
https://mttr.si/mcpSet up an agent
Claim the site
Prove it is yours with a DNS record or a file. Your agent can then reach its reads and jobs, and set each change to wait for your approval.
Claim the siteDrawn from the HTML mttr fetched on its read of October 23, 2026, not a screenshot, and only from the 33 pages read, where the read stopped at its page limit. An assistant’s own reader may differ. Tokens are estimated at about 4 characters each. A site an agent reads well is not a site an assistant cites.