www.pluralsight.com

Report from 7/21/2026, 10:50:59 AM https://www.pluralsight.com
Latest run · lab, cold cache
63
7/21/2026
28-day score · p75 · the standard
6/7 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/pluralsight.com.svg)](https://agentvitals.dev/results?url=https%3A%2F%2Fwww.pluralsight.com)
<a href="https://agentvitals.dev/results?url=https%3A%2F%2Fwww.pluralsight.com"><img src="https://agentvitals.dev/badge/pluralsight.com.svg" alt="Core Agent Vitals" height="20"></a>
What AI tells your customers about youAgent confidence: LOW
🟡Business nameBuild team skills in AI, data, cloud, and security · 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
🟡DescriptionPluralsight gives enterprises the confidence to build and validate the tech skills their teams need to deliver AI, cloud, security, and data transformation. · 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.

63
Overall score
weighted CAV (0–100)
PASS
0–4950–8990–100

Metrics

100%
CRR Content Recovery Good
0.78
SSD Semantic Signal Density Good
769 tok
TC Token Cost Good
524 ms
TTFUT Time to First Useful Token N/A

Token Cost breakdown

Where the page's tokens go (≈6,230 across regions). 52% is non-content — chrome and boilerplate an agent pays for. Add landmark roles (main/nav/header/footer) so agents can skip it.

Content
48.2% · 3,004
Chrome (nav / header / footer)
8.6% · 536
Boilerplate (cookie / ad)
0% · 0
Other
43.2% · 2,690

Final screenshot

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

Diagnostics

medium TC 51.8% of tokens are non-content (boilerplate/chrome)

agent representation — token decomposition

EvidenceToken decomposition: content 48.2%, chrome 8.6%, boilerplate 0%, other 43.2%. Only 48.2% 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 72/100 · 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 Stale (lastmod 2026-01-14T17:59:43.867Z) Learn →
JSON-LD structured data Types: Corporation Learn →
~ agents.json Absent (emerging standard) Learn →
~ WebMCP endpoint Absent (emerging standard) Learn →
~ OpenAPI / API docs No OpenAPI/Swagger found Learn →

Issues (6)

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

~ XML sitemap fresh medium impact Stale (lastmod 2026-01-14T17:59:43.867Z)

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 (6)

✓ No CAPTCHA wall✓ No content-blocking cookie wall✓ Machine-readable prices✓ No login wall on public content✓ Structured data (JSON-LD)✓ 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.

92Transport posture (0–100, unscored)
4pass
1warn
0fail
Per-header findings (6)
HeaderEvidence
✅ HTTPSserved over HTTPS
✅ HSTSmax-age=31536000; includeSubDomains; preload
✅ 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