← Analyze a URL · Tested sites

www.w3schools.com

Report from 8/5/2026, 10:57:47 AM https://www.w3schools.com
Latest run · lab, cold cache
44
8/5/2026
28-day score · p75 · the standard
—
4/7 runs — building history (nightly)

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/w3schools.com.svg)](https://agentvitals.dev/results?url=https%3A%2F%2Fwww.w3schools.com)
<a href="https://agentvitals.dev/results?url=https%3A%2F%2Fwww.w3schools.com"><img src="https://agentvitals.dev/badge/w3schools.com.svg" alt="Core Agent Vitals" height="20"></a>
What AI tells your customers about youAgent confidence: LOW
🟡Business nameW3Schools.com · 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
🟡DescriptionW3Schools offers free online tutorials, references and exercises in all the major languages of the web. Covering popular subjects like HTML, CSS, JavaScript, Python, SQL, Java, and many, many more. · 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
44
Overall score
weighted CAV (0–100)
FAIL
0–4950–8990–100

Metrics

83%
CRR Content Recovery Needs work
0.16
SSD Semantic Signal Density Poor
757 tok
TC Token Cost Good
28 ms
TTFUT Time to First Useful Token N/A

Token Cost breakdown

Where the page's tokens go (≈10,134 across regions). 51% is non-content — chrome and boilerplate an agent pays for. Add landmark roles (main/nav/header/footer) so agents can skip it.

Content
48.8% · 4,946
Chrome (nav / header / footer)
51.2% · 5,188
Boilerplate (cookie / ad)
0% · 0
Other
0% · 0

Final screenshot

Final screenshot of https://www.w3schools.com

Diagnostics

high SSD Low signal-to-noise for agents

content vs chrome/boilerplate

Evidencesignal 0.28 · 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.

medium CRR Content is hidden behind JavaScript

pre-JS raw HTML

Evidence17% of content requires JS
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.

medium TC 51.2% of tokens are non-content (boilerplate/chrome)

agent representation — token decomposition

EvidenceToken decomposition: content 48.8%, chrome 51.2%, boilerplate 0%, other 0%. Only 48.8% 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 52/100 · 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 No /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 (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

✗ 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/

✗ XML sitemap present medium impact No /sitemap.xml

Business impact A sitemap is your table of contents for AI crawlers. Without it agents follow homepage links and miss deep pages (products, docs, pricing) — shrinking what they can recommend.

What we measured We fetch /sitemap.xml (and /sitemap_index.xml), confirm valid XML with <loc> entries, and check <lastmod> freshness.

How to fix Generate an XML sitemap of all public pages with current lastmod dates and reference it in robots.txt.

Learn how to implement →

# robots.txt
Sitemap: https://example.com/sitemap.xml

Spec: https://www.sitemaps.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✓ No content-blocking cookie wall✓ No login wall on public content✓ 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.

59Transport posture (0–100, unscored)
2pass
1warn
2fail
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-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

highProfile reflects a block/challenge page — not your contenthighest leverage

whole profile

EvidenceMeasured against a block/challenge page (a bot-wall/CAPTCHA was served (www.gstatic.com)); every number here describes the wall, not your site.
ImpactAn AI agent hits the same wall and recovers none of your content — fix the block before optimizing anything else.
FixAllowlist legitimate agent user-agents / IP ranges in your WAF or bot-management and serve real content (not a challenge), then re-run.

Third-party impact

35 third-party requests · 734 KiB (44.6% of transfer) · 623 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
gstatic.com1333 KiB—
googletagmanager.com2313 KiB472 ms
fastcmp.com665 KiB60 ms
sparteo.com620 KiB91 ms
bricks-co.com12 KiB—
google.com21 KiB—
doubleclick.net11 KiB—
adform.net11 KiB—
smilewanted.com10 KiB—
google.ca10 KiB—
casalemedia.com10 KiB—
richaudience.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.gstatic.com/recaptcha/releases/w_Yb7dGGXaKesJ7BMiqFJqBG/recaptcha__en.js 3P333 KiB78%259 KiB
https://www.googletagmanager.com/gtag/js?id=G-9YNMTB56NB&cx=c&gtm=4e6840h2 3P184 KiB49.2%91 KiB
https://www.w3schools.com/lib/topnav/main.v1.0.126.js130 KiB58.2%76 KiB
https://www.googletagmanager.com/gtm.js?id=GTM-KTCFC3S 3P128 KiB54.2%70 KiB
https://static.fastcmp.com/fast-cmp-stub.modern.3c6c46d235022458216a.js 3P62 KiB47.5%30 KiB
https://www.w3schools.com/lib/my-learning/main.v1.0.92.js23 KiB84.5%19 KiB
https://sync.sparteo.com/crossfire.js 3P18 KiB74%13 KiB
https://www.w3schools.com/lib/w3schools_footer.js?update=2025092415 KiB66.6%10 KiB
https://www.w3schools.com/lib/user-session/main.v1.0.51.js11 KiB87.5%9 KiB
https://www.w3schools.com/lib/account/dashboard-lite.js?updated=2026061124 KiB38.9%9 KiB
https://www.w3schools.com/lib/common-deps/main.v1.0.22.js10 KiB74.2%7 KiB
https://www.w3schools.com/lib/w3codecolor.js7 KiB99.9%7 KiB
https://www.w3schools.com/lib/w3schools_features.js?update=202606257 KiB100%7 KiB
https://www.w3schools.com/lib/uic_prov.js?v=1.5.04 KiB84.5%3 KiB
https://www.w3schools.com/lib/uic.js?v=1.1.03 KiB60.7%2 KiB

Network

73Requests
1646 KiBTransferred
17Scripts
44.6%3rd-party
10Long tasks
Script (17)
961 KiB
Image (19)
397 KiB
Font (7)
191 KiB
Stylesheet (6)
49 KiB
Document (15)
43 KiB
XHR (4)
3 KiB
Other (2)
2 KiB
Manifest (1)
1 KiB
Ping (1)
1 KiB
Fetch (1)
0 KiB
Heaviest requests (30)
URLTypeStatusTransfer
https://www.gstatic.com/recaptcha/releases/w_Yb7dGGXaKesJ7BMiqFJqBG/recaptcha__en.jsScript200333 KiB
https://www.googletagmanager.com/gtag/js?id=G-9YNMTB56NB&cx=c&gtm=4e6840h2Script200184 KiB
https://www.w3schools.com/lib/topnav/main.v1.0.126.jsScript200130 KiB
https://www.googletagmanager.com/gtm.js?id=GTM-KTCFC3SScript200128 KiB
https://www.w3schools.com/images/img_spaces_preview.webpImage200102 KiB
https://www.w3schools.com/images/img_mockup.webpImage20078 KiB
https://www.w3schools.com/lib/fonts/SourceSansPro-Regular.woff2Font20076 KiB
https://static.fastcmp.com/fast-cmp-stub.modern.3c6c46d235022458216a.jsScript20062 KiB
https://www.w3schools.com/howto/img_mountains_wide.jpgImage20059 KiB
https://www.w3schools.com/howto/img_nature_wide.jpgImage20051 KiB
https://www.w3schools.com/Document20041 KiB
https://www.w3schools.com/lib/fonts/freckle-face-v9-latin-regular.woff2Font20039 KiB
https://www.w3schools.com/howto/img_snow_wide.jpgImage20033 KiB
https://pathfinder.w3schools.com/images/leagues/diamond.svgImage20029 KiB
https://www.w3schools.com/lib/account/dashboard-lite.js?updated=20260611Script20024 KiB
https://www.w3schools.com/lib/topnav/main.v1.0.126.cssStylesheet20023 KiB
https://www.w3schools.com/lib/my-learning/main.v1.0.92.jsScript20023 KiB
https://pathfinder.w3schools.com/images/leagues/gold.svgImage20019 KiB
https://www.w3schools.com/lib/fonts/fontawesome.woff2?14663396Font20019 KiB
https://sync.sparteo.com/crossfire.jsScript20018 KiB
https://www.w3schools.com/lib/fonts/source-sans-pro-v14-latin-600.woff2Font20016 KiB
https://www.w3schools.com/lib/fonts/source-sans-pro-v14-latin-700.woff2Font20016 KiB
https://www.w3schools.com/lib/w3schools.css?v=1.0.1Stylesheet20015 KiB
https://www.w3schools.com/lib/w3schools_footer.js?update=20250924Script20015 KiB
https://www.w3schools.com/lib/fonts/source-code-pro-v14-latin-regular.woff2Font20014 KiB
https://www.w3schools.com/lib/fonts/roboto-mono-v13-latin-500.woff2Font20013 KiB
https://www.w3schools.com/lib/user-session/main.v1.0.51.jsScript20011 KiB
https://www.w3schools.com/images/lynx.svgImage20010 KiB
https://www.w3schools.com/lib/common-deps/main.v1.0.22.jsScript20010 KiB
https://pathfinder.w3schools.com/images/leagues/wood.svgImage2009 KiB

Long tasks (>50 ms)

StartDuration
1239 ms255 ms
1499 ms120 ms
1741 ms95 ms
856 ms78 ms
12105 ms77 ms
8613 ms72 ms
610 ms70 ms
783 ms68 ms
418 ms60 ms
1628 ms59 ms
Analyzing…
running mobile + desktop · ~30s