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: Fabio Viviani sitting in a chair talking on the phone
Fabio Viviani
Executive Chef Partner
Chef Fabio Viviani has possessed a passion for food since his childhood growing up in Florence, Italy. Although a well-respected businessman in Italy, he was ready for a change and in 2005, he moved to Ventura, CA where he opened Café Firenze in Moorpark. In 2013, Chef Viviani teamed up with one of Chicago’s most innovative restaurant consulting groups, DineAmic Hospitality, and went on to open Siena Tavern. An instant success, the eatery received accolades from both Michigan Avenue and Chicago Tribune, and in 2015, Chef Viviani continued to make a name for himself by opening Bar Siena and Prime & Provisions. Perhaps best known for his television debut on Bravo’s hit reality series Top Chef – earning the “Fan Favorite” title – his on-screen appearances have propelled him to become one of the fastest growing household names in the country.
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Main content starts here, tab to start navigating  # Fabio Viviani Executive Chef Partner Chef Fabio Viviani has possessed a passion for food since his childhood growing up in Florence, Italy. Although a well-respected businessman in Italy, he was ready for a change and in 2005, he moved to Ventura, CA where he opened Café Firenze in Moorpark. In 2013, Chef Viviani teamed up with one of Chicago’s most innovative restaurant consulting groups, DineAmic Hospitality, and went on to open Siena Tavern. An instant success, the eatery received accolades from both Michigan Avenue and Chicago Tribune, and in 2015, Chef Viviani continued to make a name for himself by opening Bar Siena and Prime & Provisions. Perhaps best known for his television debut on Bravo’s hit reality series Top Chef – earning the “Fan Favorite” title – his on-screen appearances have propelled him to become one of the fastest growing household names in the country.
An agent gets this page whole: its own text is in the HTML the server sends.
The figures
11 pages, set against the 167,893 sites with figures.
- Readablehigher is better
- 91%10 of 11 pages
- All 167,893 sitesBetter than 30%
Pages whose own text is in the HTML the server sends, enough of it for their kind.
- Cleanhigher is better
- 46%middle page
- All 167,893 sitesBetter than 25%
Of the words before script, the share that are the page and not menus, footer and forms.
- Costshown, never scored
- 4,636tokens
- About 421 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
8 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 |
| barsiena.comThis site, 11 pages | 91% | 46% | 421 |
| sienatavern.com14 pages | 100% | 13% | 571 |
| dineamic.com20 pages | 95% | 28% | 533 |
| dimmidimmiitalian.com7 pages | 57% | 28% | 532 |
Third of 4 on Readable, first 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.
2 pages have no main heading. Give each one h1 that says what the page is.Open the action plan
| What an agent getshigher is better | Signals | Costnot scored | ||||
|---|---|---|---|---|---|---|
| Page | Words | Clean | Readable | Main heading | Tokens | What it loses |
| /accessibility | 8 | 5% | Yes | None | 12 | No h1 |
| /reservations | 60 | 24% | Yes | None | 180 | No h1 |
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/barsiena.com"><img src="https://mttr.si/agent-view/barsiena.com/badge.svg" alt="Agent View: 91% readable, 46% clean" height="20"></a>
The figures in one line
barsiena.com in Agent View: 91% of pages readable, better than 30% of sites; 46% clean; 4,636 tokens to read all 11 pages. mttr.si/agent-view/barsiena.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 2 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 24, 2026, not a screenshot, and only from the 11 pages read. 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.