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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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Image: SDLG CTL skid steer
Under new owner, SDLG unveils its first skid steer and CTL for U.S.
June 10, 2026
From Total Landscape Care editor Don McLoud Sold by Volvo in 2025 after 19 years, SDLG branches out to new U.S. markets with debut SR800H skid steer and TV1100H compact track loader. SDLG’s first skid steer, the SR800H, and first compact track loader, the TV1100H, for the North American market make their
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Image: Orange Kubota SSV75 skid-steer loader scooping a pile of rocks with a bucket at a construction site
Quick Data: Top-Selling Skid Steers, Used Values and Auction Winners
The rest of the page is in full screen.
[Skip to content](https://edadata.com/articles/2/#content) ### [Under new owner, SDLG unveils its first skid steer and CTL for U.S.](https://edadata.com/under-new-owner-sdlg-unveils-its-first-skid-steer-and-ctl-for-u-s/) June 10, 2026 From Total Landscape Care editor Don McLoud Sold by Volvo in 2025 after 19 years, SDLG branches out to new U.S. markets with debut SR800H skid steer and TV1100H compact track loader. SDLG’s first skid steer, the SR800H, and first compact track loader, the TV1100H, for the North American market make their [Read More »](https://edadata.com/under-new-owner-sdlg-unveils-its-first-skid-steer-and-ctl-for-u-s/) ### [Quick Data: Top-Selling Skid Steers, Used Values and Auction Winners](https://edadata.com/quick-data-top-selling-skid-steers-used-values-and-auction-winners/) June 8, 2026 From Equipment World editor Jordanne Waldschmidt From the most financed machines to the highest-priced auction sales, here’s what the latest data reveal about the U.S. skid steer market. Kubota SSV75Source: Kubota Quick Data is a snapshot of new and used skid steer sales trends from Fusable’s EDA equipment financing data and EquipmentWatch market trend and auction price [Read More »](https://edadata.com/quick-data-top-selling-skid-steers-used-values-and-auction-winners/) ### [Cat Seeks 600 Workers to Build Compact Track Loaders in North Carolina](https://edadata.com/cat-seeks-600-workers-to-build-compact-track-loaders-in-north-carolina/) May 18, 2026 From Equipment World editor Don McLoud Working on a Cat 275 at Caterpillar’s plant in Sanford, North Carolina, where the company seeks to hire 600 workers.Source: Caterpillar Caterpillar is looking for 600 workers to help produce its compact track loaders in North Carolina — no manufacturing experience required. The new hires would bring [Read More »](https://edadata.com/cat-seeks-600-workers-to-build-compact-track-loaders-in-north-carolina/) ### [Quick Data: Top-Selling Excavators and Sales Trends for 2025](https://edadata.com/quick-data-top-selling-excavators-and-sales-trends-for-2025/) April 17, 2026 From Equipment World editor Jordanne Waldschmidt Caterpillar, Deere and Komatsu were the top three sellers of new and used financed excavators in 2025, according to Fusable’s latest EDA equipment finance data. Source: Equipment World Quick Data is a snapshot of new and used construction equipment sales trends from Fusable’s EDA equipment financing [Read More »](https://edadata.com/quick-data-top-selling-excavators-and-sales-trends-for-2025/) ### [The Future of EDA: The Fusable Platform Webinar](https://edadata.com/the-future-of-eda-the-fusable-platform-webinar/) March 27, 2026 See how teams build prospect lists faster, identify buying signals earlier, and streamline prospecting workflows using the Fusable Platform. In this recorded webinar, Sydney Spears, Director of Product Management at Fusable, walks through real demo scenarios based on the most common questions we hear from EDA users and industry professionals. [Read More »](https://edadata.com/the-future-of-eda-the-fusable-platform-webinar/) ### [New Presidential Administration Analysis: How Businesses Can Use Data to Navigate Political Uncertainty](https://edadata.com/new-presidential-administration-analysis-how-businesses-can-use-data-to-navigate-political-uncertainty/) January 15, 2025 President Trump’s inauguration has reignited questions about the potential impact of policy changes on manufacturing, capital markets, lending, dealerships, and aftermarket businesses. With high stakes in areas such as trade policy, government spending, and tax regulations, businesses are grappling with uncertainty—and many are pausing major decisions until a clearer picture [Read More »](https://edadata.com/new-presidential-administration-analysis-how-businesses-can-use-data-to-navigate-political-uncertainty/)
No <main>: Wrap the page’s own content in <main>, so a reader knows where it starts and stops, and Clean can be measured. No h1: Give each one h1 that says what the page is.
The figures
100 pages, set against the 167,893 sites with figures.
- Readablehigher is better
- 98%98 of 100 pages
- All 167,893 sitesBetter than 41%
Pages whose own text is in the HTML the server sends, enough of it for their kind.
- Cleanhigher is better
- 24%middle page
- All 167,893 sitesBetter than 12%
Of the words before script, the share that are the page and not menus, footer and forms. 16 pages are not measured, with no <main> or no words.
- Costshown, never scored
- 61,118tokens
- About 611 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
84 pages measured. Not measured: 16 with no <main> or no words.
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 |
| edadata.comThis site, 100 pages | 98% | 24% | 611 |
| gardnerweb.com99 pages | 100% | 73% | 3,177 |
| foundryco.com100 pages | 100% | 84% | 2,971 |
| rigdig.com68 pages | 100% | 85% | 1,337 |
Fourth of 4 on Readable, fourth on Clean.
AI crawler access
What robots.txt says to each, as read on October 24, 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.
22 pages of 100 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/edadata.com"><img src="https://mttr.si/agent-view/edadata.com/badge.svg" alt="Agent View: 98% readable, 24% clean" height="20"></a>
The figures in one line
edadata.com in Agent View: 98% of pages readable, better than 41% of sites; 24% clean; 61,118 tokens to read all 100 pages. mttr.si/agent-view/edadata.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
- Wrap 16 pages in <main>Clean measured
- Give 9 pages a main headingClearer
- Give 1 page text of their ownReadable
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 24, 2026, not a screenshot, and only from the 100 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.