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www.fda.gov

Report from 7/24/2026, 10:33:33 AM https://www.fda.gov
Latest run · lab, cold cache
31
7/24/2026
28-day score · p75 · the standard
31
8 runs
CRR13%latest
SSD14%latest
TC335 toklatest
TTFUT46 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/fda.gov.svg)](https://agentvitals.dev/results?url=https%3A%2F%2Fwww.fda.gov)
<a href="https://agentvitals.dev/results?url=https%3A%2F%2Fwww.fda.gov"><img src="https://agentvitals.dev/badge/fda.gov.svg" alt="Core Agent Vitals" height="20"></a>
What AI tells your customers about youAgent confidence: LOW
🟡Business nameU.S. Food and Drug Administration · guessed from page text (no structured data)
❌Categorynot found
➖Pricenot applicable · not applicable to this page type
➖Locationnot applicable · not applicable to this page type
➖Hoursnot applicable · not applicable to this page type
➖Productsnot applicable · not applicable to this page type
🟡DescriptionThe FDA is responsible for protecting the public health by ensuring the safety, efficacy, and security of human and veterinary drugs, biological products, and medical devices; and by ensuring the s… · guessed from page text (no structured data)

An agent is likely to fabricate missing details rather than say “I don’t know”. 0/3 applicable facts come from machine-readable structured data.

DesktopMobile
31
Overall score
weighted CAV (0–100)
FAIL
0–4950–8990–100

Metrics

13%
CRR Content Recovery Poor
0.14
SSD Semantic Signal Density Poor
335 tok
TC Token Cost Good
36 ms
TTFUT Time to First Useful Token N/A

Token Cost breakdown

Where the page's tokens go (≈3,885 across regions). 61% is non-content — chrome and boilerplate an agent pays for. Add landmark roles (main/nav/header/footer) so agents can skip it.

Content
38.8% · 1,509
Chrome (nav / header / footer)
43.3% · 1,682
Boilerplate (cookie / ad)
0% · 0
Other
17.9% · 694

Final screenshot

Final screenshot of https://www.fda.gov

Diagnostics

high CRR Content is hidden behind JavaScript

pre-JS raw HTML

Evidence87% of content requires JS · 13% of rendered content recovered (rest is placeholder/wrong)
ImpactA non-rendering agent never sees the JS-injected content.
Effort1–4 h

Fix: Server-render or statically generate the main content so a non-JS agent still receives it; make client rendering a progressive enhancement, not the source of truth.

high SSD Low signal-to-noise for agents

content vs chrome/boilerplate

Evidencesignal 0.24 · JSON-LD 0/1 · missing: structured-data
ImpactAgent spends tokens parsing nav/boilerplate instead of content.
Effort30–90 min

Fix: Wrap the real content in <main>/<article>, cut repeated nav/boilerplate, and keep the primary content dense and early in the DOM.

high TC 61.2% of tokens are non-content (boilerplate/chrome)

agent representation — token decomposition

EvidenceToken decomposition: content 38.8%, chrome 43.3%, boilerplate 0%, other 17.9%. Only 38.8% of the agent's tokens are real content.
ImpactAn agent pays for boilerplate on every request and has less context left for the real content.
Effort30–90 min

Fix: Strip repeated nav/header/footer/cookie chrome from the agent-visible output; wrap content in <main>/<article> so the extractor keeps signal and drops boilerplate.

Rendered profile: headless

Agent Discoverability 76/100 · 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) Major AI bots allowed Learn →
✓ sitemap.xml Found at /sitemap.xml Learn →
✗ JSON-LD structured data No JSON-LD found Learn →
~ agents.json Absent (emerging standard) Learn →
~ WebMCP endpoint Absent (emerging standard) Learn →
~ OpenAPI / API docs No OpenAPI/Swagger found Learn →

Issues (5)

✗ 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

✗ Structured data (JSON-LD) medium impact No JSON-LD found

Business impact Schema.org JSON-LD tells agents what a page IS (product, article, business) with typed fields (price, rating, hours). Without it agents extract less reliably.

What we measured We parse <script type=application/ld+json>, validate it, and check for populated @type fields.

How to fix Add JSON-LD: Organization/LocalBusiness on the homepage, Product on product pages, Article on posts.

Learn how to implement →

<script type="application/ld+json">{"@context":"https://schema.org","@type":"Organization","name":"Your Co","url":"https://example.com"}</script>

Spec: https://schema.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 (6)

✓ robots.txt allows AI bots✓ No CAPTCHA wall✓ No content-blocking cookie wall✓ No login wall on public content✓ 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
✅ HSTSmax-age=31536000 ; includeSubDomains ; preload
❌ Content-Security-Policyno content-security-policy header
✅ 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

How to improve

highSplit the heaviest unused bundlehighest leverage

js — 153 KiB transferred, 73% unused (third-party)

EvidenceCDP JS coverage: 111 KiB of this bundle is never executed on load.
Impact~-111 KiB transfer; lower Token Cost + faster agent parse.
Effort30–90 min
FixDynamic-import() the below-the-fold parts of js, or drop unused dependencies. It is third-party — lazy-load or remove it.
highCut third-party weight

googletagmanager.com — 757 KiB, 5 requests, 233 ms main-thread

EvidenceThird-party is 72.7% of total transfer (13 requests); googletagmanager.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 googletagmanager.com; defer non-critical third-party scripts.
mediumBreak up long main-thread tasks

longest task 106 ms (4 total)

EvidenceMain thread blocked 106 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.

Third-party impact

13 third-party requests · 788 KiB (72.7% of transfer) · 233 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
googletagmanager.com5757 KiB233 ms
google-analytics.com421 KiB—
digitalgov.gov19 KiB—
doubleclick.net11 KiB—
google.ca10 KiB—
google.com10 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://www.googletagmanager.com/gtag/js?id=G-CSLL4ZEK4L&cx=c&gtm=4e67m0 3P153 KiB73%111 KiB
https://www.googletagmanager.com/gtag/js?id=G-2M5XLZCD9J&cx=c&_slc=1 3P169 KiB53%90 KiB
https://www.googletagmanager.com/gtag/js?id=G-B0V4T2XCW7&cx=c&gtm=4e67m0 3P165 KiB49.9%82 KiB
https://www.googletagmanager.com/gtag/js?id=G-CSLL4ZEK4L 3P153 KiB53.3%81 KiB
https://www.googletagmanager.com/gtm.js?id=GTM-KM34KBS 3P118 KiB59.9%70 KiB
https://www.fda.gov/apology_objects/fdagov/js/jquery-4.0.0.js27 KiB75%20 KiB
https://www.google-analytics.com/analytics.js 3P21 KiB49.5%10 KiB
https://dap.digitalgov.gov/Universal-Federated-Analytics-Min.js?agency=HHS&subagency=FDA&sdor=fda.gov&dclink=true 3P9 KiB68%6 KiB
https://www.fda.gov/apology_objects/fdagov/js/js_bootstrap_fixed.js8 KiB76.9%6 KiB
https://www.fda.gov/apology_objects/fdagov/js/js_accessdata_fixed.js1 KiB72.1%1 KiB

Network

31Requests
1085 KiBTransferred
10Scripts
72.7%3rd-party
4Long tasks
Script (10)
823 KiB
Font (5)
183 KiB
Stylesheet (2)
66 KiB
Image (6)
6 KiB
Document (2)
5 KiB
Ping (1)
1 KiB
XHR (1)
0 KiB
Other (1)
0 KiB
Fetch (3)
0 KiB
Heaviest requests (30)
URLTypeStatusTransfer
https://www.googletagmanager.com/gtag/js?id=G-2M5XLZCD9J&cx=c&_slc=1Script200169 KiB
https://www.googletagmanager.com/gtag/js?id=G-B0V4T2XCW7&cx=c&gtm=4e67m0Script200165 KiB
https://www.googletagmanager.com/gtag/js?id=G-CSLL4ZEK4LScript200153 KiB
https://www.googletagmanager.com/gtag/js?id=G-CSLL4ZEK4L&cx=c&gtm=4e67m0Script200153 KiB
https://www.googletagmanager.com/gtm.js?id=GTM-KM34KBSScript200118 KiB
https://www.fda.gov/apology_objects/fdagov/font-awesome/font/RESPONSIVE_FONTAWESOMETTF.ttf?v=3.2.1Font20077 KiB
https://www.fda.gov/apology_objects/fdagov/fonts/fontawesome-webfont.woff2?v=4.7.0Font20075 KiB
https://www.fda.gov/apology_objects/fdagov/css/css_accessdata_stylesheet.cssStylesheet20052 KiB
https://www.fda.gov/apology_objects/fdagov/js/jquery-4.0.0.jsScript20027 KiB
https://www.google-analytics.com/analytics.jsScript20021 KiB
https://www.fda.gov/apology_objects/fdagov/fonts/RobotoCondensed-Regular.woff2Font20015 KiB
https://www.fda.gov/apology_objects/fdagov/fonts/RobotoCondensed-Bold.woff2Font20015 KiB
https://www.fda.gov/apology_objects/fdagov/css/css_bootstrap_stylesheet.cssStylesheet20014 KiB
https://dap.digitalgov.gov/Universal-Federated-Analytics-Min.js?agency=HHS&subagency=FDA&sdor=fda.gov&dclink=trueScript2009 KiB
https://www.fda.gov/apology_objects/fdagov/js/js_bootstrap_fixed.jsScript2008 KiB
https://www.fda.gov/apology_objects/excessive-requests-apology.html?0.91951eb8.1784889346.3590d362Document2005 KiB
https://www.fda.gov/apology_objects/fdagov/images/gov-fda-new-white.svgImage2004 KiB
https://www.fda.gov/apology_objects/fdagov/js/js_accessdata_fixed.jsScript2001 KiB
https://www.fda.gov/Document4031 KiB
https://www.fda.gov/apology_objects/fdagov/images/FDA_Logo_Icon_White.svgImage2001 KiB
https://stats.g.doubleclick.net/g/collect?v=2&ngs=1&ibt=1&tid=G-2M5XLZCD9J&cid=423636906.1784889347&gtm=45je67m0v9135788958za20g&rcb=2&aip=1&dma=0&gcd=13l3l3l3l2l1&npa=0&frm=0&tag_exp=115938465~115938469~118897920~118897930~119259606~119896802Ping2041 KiB
https://www.fda.gov/apology_objects/fdagov/images/US_Flag.pngImage2001 KiB
https://www.google-analytics.com/j/collect?v=1&_v=j102&a=1704135415&t=pageview&_s=1&dl=https%3A%2F%2Fwww.fda.gov%2Fapology_objects%2Fexcessive-requests-apology.html%3F0.91951eb8.1784889346.3590d362&ul=en-us&dt=www.fda.gov%20Error&sr=800x600&vp=1350x940&_u=IEBAAEABAAAAACAAI~&jid=1808107846&gjid=1110907776&cid=423636906.1784889347&tid=UA-22737364-8&_gid=1870291840.1784889347&_r=1&_slc=1&z=27181674XHR2000 KiB
https://www.fda.gov/apology_objects/fdagov/images/icon-dot-gov.svgImage2000 KiB
https://www.fda.gov/apology_objects/fdagov/images/icon-https.svgImage2000 KiB
https://www.fda.gov/favicon.icoOther2000 KiB
https://www.google.ca/ads/ga-audiences?v=1&t=sr&slf_rd=1&_r=4&ngs=1&ibt=1&tid=G-2M5XLZCD9J&cid=423636906.1784889347&gtm=45je67m0v9135788958za20g&rcb=2&aip=1&dma=0&gcd=13l3l3l3l2l1&npa=0&frm=0&tag_exp=115938465~115938469~118897920~118897930~119259606~119896802&z=516718080Image2000 KiB
https://www.fda.gov/apology_objects/fdagov/font-awesome/font/RESPONSIVE_FONTAWESOMEWOFF.woff?v=3.2.1Font4040 KiB
https://www.google-analytics.com/g/collect?v=2&tid=G-CSLL4ZEK4L&gtm=45je67m0v9131934939za200zb865834713zd865834713&_p=1784889346991&gcd=13l3l3l3l1l1&npa=0&dma=0&are=1&cid=423636906.1784889347&frm=0&ngs=1&pscdl=noapi&rcb=2&sr=800x600&uaa=&uab=&uafvl=&uam=&uamb=0&uap=&uapv=&uaw=0&ul=en-us&_s=1&tag_exp=115938465~115938469~118897920~118897930~119259606~119896802&dl=https%3A%2F%2Ffda.gov%2Fapology_objects%2Fexcessive-requests-apology.html&dt=www.fda.gov%20Error&dr=https%3A%2F%2Ffda.gov%2F&sid=1784889347&sct=1&seg=0&_tu=wA&en=page_view&_fv=1&_ss=1&_ee=1&ep.agency=HHS&ep.subagency=FDA&ep.site_topic=unspecified%3Afda.gov&ep.site_platform=unspecified%3Afda.gov&ep.script_source=https%3A%2F%2Fdap.digitalgov.gov%2Funiversal-federated-analytics-min.js&ep.version=20260107%20v8.8%20-%20ga4&ep.protocol=https%3A&ep.using_parallel_tracker=no&ep.hostname_dimension=fda.gov&tfd=647Fetch2040 KiB
https://analytics.google.com/g/collect?v=2&tid=G-2M5XLZCD9J&gtm=45je67m0v9135788958za20g&_p=1784889346991&_gaz=1&gcd=13l3l3l3l2l1&npa=0&dma=0&_eu=ABAIACAC&are=1&cid=423636906.1784889347&frm=0&ibt=1&ngs=1&pscdl=noapi&rcb=2&sr=800x600&uaa=&uab=&uafvl=&uam=&uamb=0&uap=&uapv=&uaw=0&ul=en-us&_s=1&tag_exp=115938465~115938469~118897920~118897930~119259606~119896802&dl=https%3A%2F%2Fwww.fda.gov%2Fapology_objects%2Fexcessive-requests-apology.html%3F0.91951eb8.1784889346.3590d362&dt=www.fda.gov%20Error&sid=1784889347&sct=1&seg=0&_tu=QA&en=page_view&_fv=1&_ss=1&_ee=1&tfd=723Fetch2040 KiB

Long tasks (>50 ms)

StartDuration
748 ms106 ms
651 ms75 ms
331 ms61 ms
597 ms51 ms
Analyzing…
running mobile + desktop · ~30s