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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Use data to grow your business.
To succeed in the industrial and capital equipment industry, understanding the needs of your customers is crucial.
Image: EDA Dashboard - Prospect Mobile
Guide
market decisions
Identify
qualified buyer prospects
The rest of the page is in full screen.
[Skip to content](https://edadata.com/eda-use-cases/#content) # Use data to grow your business. To succeed in the industrial and capital equipment industry, understanding the needs of your customers is crucial. ## Guide market decisions ## Identify qualified buyer prospects ## Increase sales, financing, product development, marketing and service opportunities ## Monitor past sales to improve future coverage ### Manufacturers Data-Driven Strategic Business Insight ### Manufacturers EDA provides manufacturers insight to guide market decisions and should be part of your big data strategy. [Learn More](https://edadata.com/eda-use-cases/manufacturers/) ### Dealers Lead Generation for Your Dealership ### Dealers Smart dealers use smart data to drive their sales, marketing, service, and strategy decisions. [Learn More](https://edadata.com/eda-use-cases/dealers/) ### Capital Markets Insight for Investors and Analytics ### Capital markets Is your investment analysis of machinery companies truly comprehensive? With EDA, it could be. [Learn More](https://edadata.com/eda-use-cases/capital-markets/) ### Lenders Gain Your Competitive Advantage ### Lenders Equipment industry lenders use Fusable's EDA to shape business strategies. [Learn More](https://edadata.com/eda-use-cases/lenders/) ### Aftermarket Build Your Sales Pipeline with Qualified Prospects ### Aftermarket With EDA’s both up-to-the-minute and historic data, you’ll know which prospects are prime candidates. [Learn More](https://edadata.com/eda-use-cases/aftermarket/) ## EDA ProspectMobile ## Find Prospects Wherever You Are [Learn More About ProspectMobile](https://edadata.com/sales-tools)
No <main>: Wrap the page’s own content in <main>, so a reader knows where it starts and stops, and Clean can be measured.
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.