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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Image: A Lifelong Calling to Care: Skip and Carol Bryan’s Commitment to Children
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Image: lsfcomm lsfcomm
Articles
April 2, 2026
A Lifelong Calling to Care: Skip and Carol Bryan’s Commitment to Children
The rest of the page is in full screen.
Thin: Too few words of their own are in the HTML for a page of their kind. Render the rest on the server. No text: Put the page’s own words in the HTML the server sends, inside <main>. No h1: Give each one h1 that says what the page is.
The figures
100 pages, set against the 167,938 sites with figures and 538 in nonprofits.
- Readablehigher is better
- 33%33 of 100 pages
- All 167,938 sitesBetter than 15%538 nonprofits sitesBetter than 2%
Pages whose own text is in the HTML the server sends, enough of it for their kind.
- Cleanhigher is better
- 0%middle page
- All 167,938 sitesBetter than 0%538 nonprofits sitesBetter than 0%
Of the words before script, the share that are the page and not menus, footer and forms.
- Costshown, never scored
- 35,747tokens
- About 357 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
100 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 |
| lsfnet.orgThis site, 100 pages | 33% | 0% | 357 |
| givemiamiday.org100 pages | 99% | 72% | 1,036 |
| asafehaven.org88 pages | 93% | 52% | 1,119 |
| msaunitedway.org75 pages | 84% | 43% | 1,150 |
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.
90 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/lsfnet.org"><img src="https://mttr.si/agent-view/lsfnet.org/badge.svg" alt="Agent View: 33% readable, 0% clean" height="20"></a>
The figures in one line
lsfnet.org in Agent View: 33% of pages readable, better than 2% of nonprofits sites; 0% clean; 35,747 tokens to read all 100 pages. mttr.si/agent-view/lsfnet.org
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 85 pages a main headingClearer
- Give 67 pages text of their ownReadable
- Render the rest of 65 pages 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 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.