www.newyorker.com

Report from 9/20/2026, 1:32:15 PM https://www.newyorker.com
Latest run · lab, cold cache
70
9/20/2026
28-day score · p75 · the standard
70
13 runs
CRR99%latest
SSD94%latest
TC2498 toklatest
TTFUT123 ms28-day p75

Scored by v3 · source-of-truth hashes: score db860d6ac94e · thresholds e94f8b33e500 — verifiable against the canonical scorer.

The 28-day score is the p75 of nightly runs — the stable number to cite. Deterministic metrics (CRR/SSD/TC) show their latest value (they move only when the site changes); timing (TTFUT) and answer-fidelity (AF) are smoothed by 28-day p75 — the same lab-vs-field split Core Web Vitals uses. Synthetic daily measurement, not real-user field data.

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[![Core Agent Vitals](https://agentvitals.dev/badge/newyorker.com.svg)](https://agentvitals.dev/results?url=https%3A%2F%2Fwww.newyorker.com)
<a href="https://agentvitals.dev/results?url=https%3A%2F%2Fwww.newyorker.com"><img src="https://agentvitals.dev/badge/newyorker.com.svg" alt="Core Agent Vitals" height="20"></a>
What AI tells your customers about youAgent confidence: LOW
Business nameThe New Yorker
CategoryOrganization
Pricenot found
Locationnot found
Hoursnot found
Productsnot found
🟡DescriptionReporting, Profiles, breaking news, cultural coverage, podcasts, videos, and cartoons from The New Yorker. · guessed from page text (no structured data)

An agent is likely to fabricate missing details rather than say “I don’t know”. 2/7 applicable facts come from machine-readable structured data.

70
Overall score
weighted CAV (0–100)
PASS
0–4950–8990–100

Metrics

99%
CRR Content Recovery Good
0.94
SSD Semantic Signal Density Good
2,498 tok
TC Token Cost Good
117 ms
TTFUT Time to First Useful Token N/A

Token Cost breakdown

Where the page's tokens go (≈11,888 across regions). Most tokens are real content — the agent isn't paying much for chrome.

Content
83.4% · 9,920
Chrome (nav / header / footer)
5.6% · 662
Boilerplate (cookie / ad)
4.6% · 544
Other
6.4% · 762

Final screenshot

Final screenshot of https://www.newyorker.com

Diagnostics

No issues found — this page is well-prepared for agents.

Rendered profile: headless

Agent Discoverability 58/100 · Needs Work

Access & discovery checks — separate from the gated CAV metrics above. Click an issue for business impact, what we measured, and how to fix. · Take the Agent Readiness course →

Agent files & endpoints

llms.txt Absent at /llms.txt and /.well-known/llms.txt Learn →
robots.txt (AI bots) Blocks: * (all) Learn →
sitemap.xml Found at /sitemap.xml Learn →
JSON-LD structured data Types: Organization, WebSite, ItemList Learn →
~ agents.json Absent (emerging standard) Learn →
~ WebMCP endpoint Absent (emerging standard) Learn →
~ OpenAPI / API docs No OpenAPI/Swagger found Learn →

Issues (7)

robots.txt allows AI bots high impact Blocks: * (all)

Business impact If robots.txt blocks AI crawlers you are invisible to ChatGPT, Claude and Perplexity — they skip you and recommend a competitor instead.

What we measured We read /robots.txt and test it against 16 AI user-agents (GPTBot, ClaudeBot, PerplexityBot, …) for a Disallow that blocks them.

How to fix Allow major AI bots to public content; restrict only private paths (/admin, /api).

Learn how to implement →

User-agent: GPTBot
Allow: /
Disallow: /admin/

Spec: https://platform.openai.com/docs/gptbot

~ No content-blocking cookie wall medium impact Consent platform: onetrust (verify it doesn't block content)

Business impact A consent wall that hides content until a click is invisible to agents — they cannot click 'Accept'.

What we measured We fingerprint OneTrust, Cookiebot, Usercentrics and similar managers and flag content-blocking ones.

How to fix Use an overlay banner that leaves content in the DOM, not a blocking interstitial.

Spec: https://gdpr.eu/cookies/

llms.txt present high impact Absent at /llms.txt and /.well-known/llms.txt

Business impact llms.txt is the robots.txt for AI: it tells agents what your site is, what matters, and where to find it. Without it AI guesses — and guessing means inaccurate recommendations and lost visibility.

What we measured We fetch /llms.txt and /.well-known/llms.txt and validate the spec (H1 title + a one-line blockquote summary). We also note /llms-full.txt (your full content as Markdown).

How to fix Create /llms.txt with a short summary + key pages; optionally /llms-full.txt with full content in Markdown.

Learn how to implement →

# Your Site
> One-line description for AI agents.

## Key pages
- /products — catalog
- /pricing — plans
- /docs — documentation

Spec: https://llmstxt.org

~ No login wall on public content high impact Login signal: please log in

Business impact Public content behind authentication is unreachable to agents (they have no account). Gate only genuinely private material.

What we measured We follow redirects and detect 401/403 and login-form signals on content pages.

How to fix Separate public marketing/docs from authenticated areas; keep public pages reachable without login.

Spec: https://llmstxt.org

~ agents.json discovery low impact Absent (emerging standard)

Business impact agents.json describes what your site can DO for agents (services, endpoints, capabilities) — an emerging discovery standard. Early adopters get native agent integration.

What we measured We check /agents.json and /.well-known/agents.json for a valid configuration.

How to fix Publish /agents.json describing your site's capabilities and actions.

Learn how to implement →

Spec: https://github.com/wild-card-ai/agents-json

~ WebMCP endpoint low impact Absent (emerging standard)

Business impact WebMCP lets agents call actions on your site directly (book, buy, query) instead of scraping the DOM. Early adopters get native AI-agent interoperability.

What we measured We check /.well-known/webmcp and /webmcp.json for a valid actions array.

How to fix Add a WebMCP endpoint exposing your key actions to agents.

Learn how to implement →

Spec: https://webmcp.org

~ API documentation low impact No OpenAPI/Swagger found

Business impact Programmatic agents prefer a typed API. An OpenAPI/Swagger spec lets them integrate without scraping.

What we measured We probe /openapi.json, /swagger.json, /api-docs and /.well-known/openapi.json.

How to fix Publish an OpenAPI spec at a well-known path.

Learn how to implement →

Spec: https://www.openapis.org/

Passed audits (4)

✓ No CAPTCHA wall✓ Structured data (JSON-LD)✓ XML sitemap present + fresh✓ Server response (TTFB)

Transport & Trust (SEC 1.0.0)

HTTPS, HSTS, CSP, sniffing, referrer and CORS posture. Diagnostic only — this does not affect the CAV score. A security header does not make a page more legible to an agent, so scoring it would reward a CDN toggle that changes nothing an agent can recover. We measure it and say so.

70Transport posture (0–100, unscored)
3pass
1warn
1fail
Per-header findings (6)
HeaderEvidence
✅ HTTPSserved over HTTPS
❌ HSTSno strict-transport-security header
✅ Content-Security-Policypolicy present, script-src does not allow inline
✅ X-Content-Type-Optionsnosniff
⚠️ Referrer-Policyno referrer-policy header (browser default applies)
➖ CORS exposureno CORS headers on the document (normal for an HTML page)
Full profile — how to improve · unused JS · network · timing

A deeper scan (a second render, ~30–60s): network waterfall, unused JavaScript, long tasks, and prioritized fixes. Runs only when you ask; the result is cached so it never re-runs.

Analyzing…
running mobile + desktop · ~30s