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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Village Green Landscaping
2026-03-26T11:42:15-04:00
Village Green Blog
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Blog[Village Green Landscaping](https://villagegreenlandscape.com/author/vilgrelan/)2026-03-26T11:42:15-04:00 # Village Green Blog - The advantages of hiring a professional landscaping service and maintenance Your yard is simply one aspect of your outdoor environment. It's a natural extension of your home—a place to unwind, entertain, and appreciate nature's splendor. [...] Continue Reading - 3 Helpful Tips to Prevent Your Flowers from Dying Watching gorgeous flowers die after planting them is incredibly frustrating. Fortunately, by giving your flowers some care and attention, you can maintain their health and [...] Continue Reading - Lawn Care Hacks Achieving a Beautiful Yard on a Budget You don't have to spend a lot of money to keep your lawn looking green and healthy. By incorporating clever planning and implementing cost-cutting tactics, [...] Continue Reading - Top 10 Perennials Plants for your Beautiful Garden Perennials are essential for the foundation of a garden. Perennials, unlike annuals, do not need to be replanted every year; they return season after season, [...] Continue Reading - The Power of Hardscaping Hardscaping, such as stones, wood, and concrete, is essential for providing organization and purpose in outdoor environments. When executed properly, hardscaping improves the beauty of [...] Continue Reading - Embrace Native Plants Using native plants in your garden not only enhances its beauty but also supports local ecosystems. Native species, such as bee balm, blue flag iris, [...] Continue Reading - Landscaping Customer Feedback Why Customer Reviews Matter Customer feedback is an invaluable resource for any business, offering real insights into service quality and areas for improvement. At Village [...] Continue Reading
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.
6 pages of 33 lose something. Pick a loss to see what to do about it.Open the action plan
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.