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Check your inbox for a welcome email from [email protected]. Oops! Something went wrong while submitting the form.  ## UX research tools [30+ AI Tools for Every Phase of UX Research You Can Use Right Now January 23, 2026](https://www.userinterviews.com/blog/ai-ux-research-tools) [12 Best Customer Feedback Tools by Use Case (Interviews, Surveys & Analytics) September 19, 2025](https://www.userinterviews.com/blog/best-customer-feedback-tools-interviews-surveys-analytics) [Focus Group Software: Top 7 Options for Qualitative Research July 25, 2025](https://www.userinterviews.com/blog/focus-group-software) [See all articles on UX research tools](https://www.userinterviews.com/category/ux-research-tools) ## Professional Growth [ResearchOps 2.0: Looking back at the past, present, and future of research operations October 22, 2026](https://www.userinterviews.com/blog/researchops-and-future-of-research-operations) [The Ultimate UX Research Job Board – Updated August 2026 August 5, 2026](https://www.userinterviews.com/blog/the-ultimate-remote-ux-research-job-board) [The 24 Best UX and User Research Blogs Worth Bookmarking December 22, 2025](https://www.userinterviews.com/blog/best-ux-research-blogs) [See all articles on professional growth](https://www.userinterviews.com/category/ux-research-careers) ## Research Strategy [Hiring Isn’t a Scaling Strategy: Turning Research Expertise into Self‑Serve Infrastructure October 15, 2026](https://www.userinterviews.com/blog/scaling-research-operations) [Provenance Matters: Why Citations Are the Missing Link in Insight-Driven Decisions June 5, 2026](https://www.userinterviews.com/blog/citations-are-missing-link-in-insight-driven-decisions) [Is Your NPS Telling the Full Story for Stakeholders? 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October 8, 2026](https://www.userinterviews.com/blog/letter-our-customers-serving-you-ai-era) [AI, Margins, and the New Division of Labour: Three Reversals Reshaping How Research Operates August 3, 2026](https://www.userinterviews.com/blog/new-division-of-labor-reshaping-how-research-operates) [Spotting an AI Cheater in Research: Investigating the Limits of Intuition in Remote Interviews July 2, 2026](https://www.userinterviews.com/blog/spotting-an-ai-cheater-in-research) [See all articles about AI](https://www.userinterviews.com/category/ai-in-research) ## Explore More [ September 10, 2025 The State of User Research Report 2025](https://www.userinterviews.com/state-of-user-research-report) [May 28, 2025 The 2025 Research Budget Report](https://www.userinterviews.com/research-budget-report) ## Talk to users today. Seriously, we're fast. It's free to sign up! 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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 168,273 sites with figures.
- Readablehigher is better
- 98%98 of 100 pages
- All 168,273 sitesBetter than 41%
Pages whose own text is in the HTML the server sends, enough of it for their kind.
- Cleanhigher is better
- 7%middle page
- All 168,273 sitesBetter than 6%
Of the words before script, the share that are the page and not menus, footer and forms. 99 pages are not measured, with no <main> or no words.
- Costshown, never scored
- 504,677tokens
- About 5,047 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
1 page measured. Not measured: 97 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.
| Readinghigher is better | Costnot scored | ||
|---|---|---|---|
| Site | Readable | Clean | Tokens a page |
| userinterviews.comThis site, 100 pages | 98% | 7% | 5,047 |
| attentioninsight.com100 pages | 100% | None | 4,142 |
Second of 2 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.
99 pages of 100 lose something. Pick a loss to see what to do about it.Open the action plan
| What an agent getshigher is better | Signals | Costnot scored | ||||
|---|---|---|---|---|---|---|
| Page | Words | Clean | Readable | Main heading | Tokens | What it loses |
| /signup | 0 | No words | No | None | 0 | Shell |
| /studies | 0 | No words | No | None | 0 | Shell |
| /lp/booking-thanks | 254 | No <main> | Yes | None | 1,441 | No <main> and 1 more |
| /lp/research-hub | 580 | No <main> | Yes | None | 1,644 | No <main> and 1 more |
| /lp/work-email | 87 | No <main> | Yes | None | 232 | No <main> and 1 more |
| /researcher-affiliates-guidelines | 266 | No <main> | Yes | None | 443 | No <main> and 1 more |
| /state-of-user-research-2023-report | 11,358 | No <main> | Yes | Yes | 24,906 | Script data and 1 more |
| /terms | 152 | No <main> | Yes | None | 1,158 | No <main> and 1 more |
| /user-interviews-affiliates | 286 | No <main> | Yes | None | 505 | No <main> and 1 more |
| / | 663 | No <main> | Yes | Yes | 3,040 | No <main> |
| /2022-yearbook | 1,814 | No <main> | Yes | Yes | 6,038 | No <main> |
| /about | 1,016 | No <main> | Yes | Yes | 3,131 | No <main> |
| /accessibility-research | 1,615 | No <main> | Yes | Yes | 4,748 | No <main> |
| /add-ons | 694 | No <main> | Yes | Yes | 2,729 | No <main> |
| /ai-in-ux-research-report | 2,525 | No <main> | Yes | Yes | 5,707 | No <main> |
| /ai-in-ux-research-report-2023 | 6,472 | No <main> | Yes | Yes | 14,091 | No <main> |
| /ai-moderation-for-ux-research-guide | 3,491 | No <main> | Yes | Yes | 8,560 | No <main> |
| /blog | 1,666 | No <main> | Yes | Yes | 5,223 | No <main> |
| /browse-support | 3,415 | No <main> | Yes | Yes | 7,226 | No <main> |
| /collaboration | 1,160 | No <main> | Yes | Yes | 3,598 | No <main> |
| /compare/user-interviews-vs-respondent | 1,294 | No <main> | Yes | Yes | 4,017 | No <main> |
| /crux | 773 | No <main> | Yes | Yes | 2,774 | No <main> |
| /customers | 1,060 | No <main> | Yes | Yes | 6,008 | No <main> |
| /data-reports | 1,021 | No <main> | Yes | Yes | 3,550 | No <main> |
| /demo-center | 1,196 | No <main> | Yes | Yes | 3,819 | 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/userinterviews.com"><img src="https://mttr.si/agent-view/userinterviews.com/badge.svg" alt="Agent View: 98% readable, 7% clean" height="20"></a>
The figures in one line
userinterviews.com in Agent View: 98% of pages readable, better than 41% of sites; 7% clean; 504,677 tokens to read all 100 pages. mttr.si/agent-view/userinterviews.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 97 pages in <main>Clean measured
- Give 6 pages a main headingClearer
- Put the text of 2 pages in the HTMLReadable
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.