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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2018
Album Artwork
Imagine John Yoko
‘Imagine all the people living life in peace’
The rest of the page is in full screen.
Loading... 2018 Album Artwork ## Imagine John Yoko > ‘Imagine all the people living life in peace’ > > – John Lennon, 1971 The definitive inside story of the making of the legendary album in the words of John & Yoko and the people who were there. ## Imagine John Yoko Personally compiled and curated by Yoko Ono, *Imagine John Yoko* is the definitive inside story – told in revelatory detail – of the making of the legendary album and all that surrounded it: the locations, the creative team, the artworks and the films, in the words of John & Yoko and the people who were there. Features 80% exclusive, hitherto-unpublished archive photos and footage sequences of all the key players in situ, together with lyric sheets, Yoko’s art installations, and exclusive new insights and personal testimonies from Yoko and over forty of the musicians, engineers, staff, celebrities, artists and photographers who were there – including Julian Lennon, Klaus Voormann, Alan White, Jim Keltner, David Bailey, Dick Cavett and Sir Michael Parkinson. > ‘A lot has been written about the creation of the song, the album and the film of *[Imagine](http://johnlennon.com/music/albums/imagine/)*, mainly by people who weren’t there, so I’m very pleased and grateful that now, for the first time, so many of the participants have kindly given their time to “gimme some truth” in their own words and pictures’ > > – Yoko Ono Lennon, 2018 *Imagine John Yoko* tells the story of John & Yoko’s life, work and relationship during this intensely creative period. It transports readers to home and working environments showcasing Yoko’s closely guarded archive of photos and artefacts, using artfully compiled narrative film stills, and featuring digitally rendered maps, floorplans and panoramas that recreate the interiors in evocative detail. John & Yoko introduce each chapter and song; Yoko also provides invaluable additional commentary and a preface. All the minutiae is examined: the locations, the key players, the music and lyrics, the production techniques and the artworks – including the creative process behind the double exposure polaroids used on the album cover. With a message as universal and pertinent today as it was when the album was created, this landmark publication is a fitting tribute to John & Yoko and their place in cultural history.
An agent gets this page whole: its own text is in the HTML the server sends.
The figures
16 pages, set against the 167,893 sites with figures.
- Readablehigher is better
- 81%13 of 16 pages
- All 167,893 sitesBetter than 24%
Pages whose own text is in the HTML the server sends, enough of it for their kind.
- Cleanhigher is better
- 97%middle page
- All 167,893 sitesBetter than 96%
Of the words before script, the share that are the page and not menus, footer and forms. 3 pages are not measured, with no <main> or no words.
- Costshown, never scored
- 23,655tokens
- About 1,478 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
13 pages measured. Not measured: 1 with no <main> or no words and 2 shells with no words before script.
Against its rivals
The sites nearest it by what they do, with figures. Close means similar work, not better.
No site near it by what it does has figures yet.
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.
1 page have no <main>. Wrap the page’s own content in <main>, so a reader knows where it starts and stops, and Clean can be measured.Open the action plan
| What an agent getshigher is better | Signals | Costnot scored | ||||
|---|---|---|---|---|---|---|
| Page | Words | Clean | Readable | Main heading | Tokens | What it loses |
| /books | 256 | No <main> | Yes | Yes | 720 | No <main> |
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/johnlennon.com"><img src="https://mttr.si/agent-view/johnlennon.com/badge.svg" alt="Agent View: 81% readable, 97% clean" height="20"></a>
The figures in one line
johnlennon.com in Agent View: 81% of pages readable, better than 24% of sites; 97% clean; 23,655 tokens to read all 16 pages. mttr.si/agent-view/johnlennon.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
- Put the text of 2 pages in the HTMLReadable
- Render the rest of 1 page on the serverReadable
- 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 23, 2026, not a screenshot, and only from the 16 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.