← Analyze a URL · Tested sites

www.nationalgeographic.com

Report from 9/21/2026, 1:39:50 PM https://www.nationalgeographic.com
Latest run · lab, cold cache
81
9/21/2026
28-day score · p75 · the standard
81
13 runs
CRR100%latest
SSD67%latest
TC835 toklatest
TTFUT278 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.

Core Agent Vitals badge  Embed this badge

Show your agent-readiness score anywhere — it links back to this report.

[![Core Agent Vitals](https://agentvitals.dev/badge/nationalgeographic.com.svg)](https://agentvitals.dev/results?url=https%3A%2F%2Fwww.nationalgeographic.com)
<a href="https://agentvitals.dev/results?url=https%3A%2F%2Fwww.nationalgeographic.com"><img src="https://agentvitals.dev/badge/nationalgeographic.com.svg" alt="Core Agent Vitals" height="20"></a>
What AI tells your customers about youAgent confidence: MEDIUM
✅Business nameNational Geographic
✅CategoryNewsMediaOrganization
❌Pricenot found
✅Location1145 17th Street NW, Washington, DC, 20036, US
❌Hoursnot found
❌Productsnot found
✅DescriptionNational Geographic is a global media organization known for award-winning journalism in science, history, travel, photography, and environmental reporting.

An agent gets the basics but will guess on the gaps. 4/7 applicable facts come from machine-readable structured data.

DesktopMobile
81
Overall score
weighted CAV (0–100)
PASS
0–4950–8990–100

Metrics

100%
CRR Content Recovery Good
0.68
SSD Semantic Signal Density Good
835 tok
TC Token Cost Good
99 ms
TTFUT Time to First Useful Token N/A

Token Cost breakdown

Where the page's tokens go (≈13,054 across regions). Most tokens are real content — the agent isn't paying much for chrome.

Content
64.7% · 8,448
Chrome (nav / header / footer)
28.6% · 3,732
Boilerplate (cookie / ad)
0% · 0
Other
6.7% · 874

Final screenshot

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

Diagnostics

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

Rendered profile: headless

Agent Discoverability 86/100 · Agent Ready

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) Major AI bots allowed Learn →
✓ sitemap.xml Found at /sitemap.xml Learn →
✓ JSON-LD structured data Types: WebPage, WebSite, NewsMediaOrganization, ImageObject, BreadcrumbList, ItemList Learn →
~ agents.json Absent (emerging standard) Learn →
~ WebMCP endpoint Absent (emerging standard) Learn →
~ OpenAPI / API docs No OpenAPI/Swagger found Learn →

Issues (4)

✗ 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

~ 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 (7)

✓ robots.txt allows AI bots✓ No CAPTCHA wall✓ No content-blocking cookie wall✓ No login wall on public content✓ 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.

37Transport posture (0–100, unscored)
1pass
1warn
3fail
Per-header findings (6)
HeaderEvidence
✅ HTTPSserved over HTTPS
❌ HSTSno strict-transport-security header
❌ Content-Security-Policyno content-security-policy header
❌ X-Content-Type-Optionsmissing nosniff
⚠️ 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

How to improve

highSplit the heaviest unused bundlehighest leverage

323-0c47f950.js — 834 KiB transferred, 57.6% unused

EvidenceCDP JS coverage: 480 KiB of this bundle is never executed on load.
Impact~-480 KiB transfer; lower Token Cost + faster agent parse.
Effort30–90 min
FixDynamic-import() the below-the-fold parts of 323-0c47f950.js, or drop unused dependencies.
highCut third-party weight

braze-images.com — 2768 KiB, 1 requests

EvidenceThird-party is 72.7% of total transfer (217 requests); braze-images.com is the largest.
ImpactFewer bytes + main-thread stalls before your content settles for an agent.
Effort1–3 h
FixLazy-load, self-host, or remove braze-images.com; defer non-critical third-party scripts.
mediumReduce layout shift

cumulative layout shift

EvidenceCLS is 0.137.
ImpactStable layout for render + screenshot.
Effort30–60 min
FixSet explicit width/height on images; reserve space for late-loading content.
mediumBreak up long main-thread tasks

longest task 160 ms (4 total)

EvidenceMain thread blocked 160 ms by the longest task.
ImpactFaster interactivity + content settling.
Effort1–4 h
FixSplit heavy work, defer third-party scripts, move compute off the main thread.
mediumCut total transfer weight

7.2 MB total

Evidence7.2 MB transferred.
ImpactCheaper, faster fetch on slow links.
Effort1–3 h
FixEnable Brotli, serve WebP/AVIF images, defer non-critical resources.

Third-party impact

217 third-party requests · 5396 KiB (72.7% of transfer) · 78 ms main-thread — code an agent must also fetch/run before your content settles. Fewer, lazier third-parties = faster, cheaper agent reads.

Third-party domainReqsTransferMain-thread
braze-images.com12768 KiB—
googletagmanager.com4613 KiB—
natgeofe.com46403 KiB—
espn.com14310 KiB16 ms
doubleclick.net7238 KiB56 ms
facebook.net2166 KiB—
tiktok.com6163 KiB—
bamgrid.com7128 KiB—
webcontentassessor.com1120 KiB—
appboycdn.com175 KiB—
disneyaccount.com156 KiB6 ms
datadoghq-browser-agent.com152 KiB—

Wasted JavaScript (by bundle)

Transfer-accurate — each bundle's transfer size × its unused %, ranked by wasted bytes (the biggest code-splitting wins). Unused JS also inflates Token Cost (TC).

BundleTransferUnusedWasted
https://assets-cdn.nationalgeographic.com/natgeo/e06bc2d656d9-release-09-15-2026.14/client/natgeo/323-0c47f950.js834 KiB57.6%480 KiB
https://assets-cdn.nationalgeographic.com/natgeo/e06bc2d656d9-release-09-15-2026.14/client/natgeo/5246-ce11e8ee.js419 KiB55.5%233 KiB
https://securepubads.g.doubleclick.net/pagead/managed/js/gpt/m202609140101/pubads_impl.js 3P211 KiB70.4%148 KiB
https://www.googletagmanager.com/gtag/js?id=DC-8389014 3P139 KiB65.5%91 KiB
https://hiveplayer-static.bamgrid.com/artifacts/hive/playback-service/26.11.0-kristoff/all_browser_es5/playback-service.js 3P112 KiB79.2%88 KiB
https://www.googletagmanager.com/gtag/destination?id=AW-970597622&cx=c&gtm=4e69g1 3P165 KiB50%82 KiB
https://www.googletagmanager.com/gtag/js?id=AW-17574768780 3P161 KiB49.7%80 KiB
https://www.googletagmanager.com/gtag/js?id=AW-876804081 3P148 KiB51.1%76 KiB
https://dcf.espn.com/TWDC-DTCI/prod/Bootstrap.js 3P122 KiB56.3%69 KiB
https://analytics.tiktok.com/i18n/pixel/static/main.MWU2MzIzODM0MQ.js 3P115 KiB58.9%68 KiB
https://js.appboycdn.com/web-sdk/6.9/braze.min.js 3P75 KiB75.9%57 KiB
https://connect.facebook.net/en_US/fbevents.js 3P108 KiB44.7%48 KiB
https://cdn.disneyaccount.com/v5/sdk.js 3P56 KiB76.5%43 KiB
https://dcf.espn.com/TWDC-DTCI/prod/code/fbf6a0129ee8414f3cde54e75789b832.js?conditionId0=4952847 3P55 KiB78%43 KiB
https://dcf.espn.com/TWDC-DTCI/prod/code/299f2e2108cb97528d0e32ce91b1c8f7.js?conditionId0=4898178 3P57 KiB69.9%40 KiB

Network

276Requests
7421 KiBTransferred
66Scripts
72.7%3rd-party
4Long tasks
Script (66)
3577 KiB
Image (68)
3178 KiB
Font (5)
188 KiB
XHR (19)
170 KiB
Stylesheet (16)
152 KiB
Document (6)
84 KiB
Fetch (78)
46 KiB
Other (13)
23 KiB
Ping (5)
4 KiB
Heaviest requests (30)
URLTypeStatusTransfer
https://braze-images.com/appboy/communication/assets/image_assets/images/6aa8554619d4800086c9ed50/original.gif?1789416774Image2002768 KiB
https://assets-cdn.nationalgeographic.com/natgeo/e06bc2d656d9-release-09-15-2026.14/client/natgeo/323-0c47f950.jsScript200834 KiB
https://assets-cdn.nationalgeographic.com/natgeo/e06bc2d656d9-release-09-15-2026.14/client/natgeo/5246-ce11e8ee.jsScript200419 KiB
https://securepubads.g.doubleclick.net/pagead/managed/js/gpt/m202609140101/pubads_impl.jsScript200211 KiB
https://www.googletagmanager.com/gtag/destination?id=AW-970597622&cx=c&gtm=4e69g1Script200165 KiB
https://www.googletagmanager.com/gtag/js?id=AW-17574768780Script200161 KiB
https://www.googletagmanager.com/gtag/js?id=AW-876804081Script200148 KiB
https://i.natgeofe.com/n/2e2421a3-f3cb-485f-b482-753cce8baaa0/MossForest.adapt.885.1.jpg?wp=1&w=1350Image200144 KiB
https://www.googletagmanager.com/gtag/js?id=DC-8389014Script200139 KiB
https://dcf.espn.com/TWDC-DTCI/prod/Bootstrap.jsScript200122 KiB
https://scripts.webcontentassessor.com/scripts/340714530193d9627afecb7a2bab115079ee90db012cba398ac76b3339880fdcScript200120 KiB
https://analytics.tiktok.com/i18n/pixel/static/main.MWU2MzIzODM0MQ.jsScript200115 KiB
https://hiveplayer-static.bamgrid.com/artifacts/hive/playback-service/26.11.0-kristoff/all_browser_es5/playback-service.jsScript200112 KiB
https://connect.facebook.net/en_US/fbevents.jsScript200108 KiB
https://www.nationalgeographic.com/Document20084 KiB
https://assets-cdn.nationalgeographic.com/natgeo/e06bc2d656d9-release-09-15-2026.14/client/natgeo/natgeo-71f89104.jsScript20084 KiB
https://js.appboycdn.com/web-sdk/6.9/braze.min.jsScript20075 KiB
https://assets-cdn.nationalgeographic.com/natgeo/static/icons/Symbol_Defs--v41.svgXHR20071 KiB
https://assets-cdn.nationalgeographic.com/natgeo/e06bc2d656d9-release-09-15-2026.14/client/natgeo/css/fusion-90a62c1c.cssStylesheet20060 KiB
https://connect.facebook.net/signals/config/1549412225443134?v=2.9.403&r=stable&domain=www.nationalgeographic.com&hme=ecef7557496abce7ebfd30d9fec7f02b78383ffbf3f454783aea671f0dea1dfc&ex_m=117%2C234%2C168%2C27%2C81%2C82%2C160%2C77%2C76%2C11%2C178%2C101%2C20%2C152%2C140%2C46%2C84%2C89%2C148%2C173%2C180%2C8%2C4%2C5%2C7%2C6%2C3%2C102%2C114%2C32%2C17%2C31%2C18%2C33%2C34%2C35%2C37%2C55%2C161%2C86%2C125%2C22%2C24%2C51%2C47%2C49%2C48%2C94%2C103%2C107%2C123%2C159%2C162%2C53%2C124%2C29%2C26%2C132%2C78%2C43%2C164%2C163%2C165%2C156%2C154%2C30%2C42%2C66%2C122%2C175%2C79%2C21%2C127%2C92%2C75%2C23%2C96%2C97%2C129%2C95%2C150%2C149%2C153%2C108%2C174%2C177%2C41%2C56%2C126%2C54%2C182%2C109%2C181%2C201%2C248%2C83%2C262%2C261%2C260%2C14%2C25%2C28%2C40%2C62%2C116%2C68%2C10%2C72%2C110%2C111%2C112%2C118%2C143%2C38%2C36%2C145%2C146%2C147%2C142%2C141%2C169%2C85%2C172%2C170%2C171%2C57%2C67%2C136%2C19%2C176%2C52%2C311%2C312%2C313%2C310%2C326%2C351%2C241%2C230%2C69%2C231%2C229%2C354%2C345%2C59%2C242%2C120%2C144%2C91%2C134%2C61%2C133%2C139%2C138%2C65%2C73%2C71%2C166%2C87%2C88%2C128%2C44%2C39%2C60%2C63%2C113%2C179%2C1%2C137%2C16%2C135%2C12%2C2%2C64%2C104%2C15%2C74%2C70%2C131%2C100%2C99%2C184%2C185%2C105%2C106%2C9%2C115%2C183%2C58%2C157%2C98%2C90%2C80%2C130%2C119%2C50%2C158%2C0%2C93%2C151%2C155%2C167%2C45%2C121%2C13%2C186Script20058 KiB
https://dcf.espn.com/TWDC-DTCI/prod/code/299f2e2108cb97528d0e32ce91b1c8f7.js?conditionId0=4898178Script20057 KiB
https://cdn.disneyaccount.com/v5/sdk.jsScript20056 KiB
https://dcf.espn.com/TWDC-DTCI/prod/code/fbf6a0129ee8414f3cde54e75789b832.js?conditionId0=4952847Script20055 KiB
https://www.datadoghq-browser-agent.com/us1/v5/datadog-rum.jsScript20052 KiB
https://micro.rubiconproject.com/prebid/dynamic/18138.jsScript20046 KiB
https://analytics.tiktok.com/i18n/pixel/static/identify_0504602d.jsScript20040 KiB
https://assets-cdn.nationalgeographic.com/natgeo/static/fonts/geographeditweb-medium.woff2Font20038 KiB
https://assets-cdn.nationalgeographic.com/natgeo/static/icons/flag_def--v2.svgXHR20038 KiB
https://assets-cdn.nationalgeographic.com/natgeo/static/fonts/geographeditweb-regular.woff2Font20038 KiB
https://www.googletagservices.com/tag/js/gpt.jsScript20038 KiB

Long tasks (>50 ms)

StartDuration
812 ms160 ms
447 ms152 ms
632 ms64 ms
1289 ms55 ms
Analyzing…
running mobile + desktop · ~30s