www.bloomberg.com

Report from 7/20/2026, 12:07:34 PM https://www.bloomberg.com
Latest run · lab, cold cache
49
7/20/2026
28-day score · p75 · the standard
5/7 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.

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What AI tells your customers about youAgent confidence: MEDIUM
Business nameBloomberg
CategoryNewsMediaOrganization
🟡Price$4 · guessed from page text (no structured data)
Location731 Lexington Avenue, New York, NY, 10022, USA
Hoursnot found
Productsnot found
🟡DescriptionBloomberg delivers business and markets news, data, analysis, and video to the world, featuring stories from Businessweek and Bloomberg News · guessed from page text (no structured data)

An agent gets the basics but will guess on the gaps. 3/7 applicable facts come from machine-readable structured data.

49
Overall score
weighted CAV (0–100)
FAIL
0–4950–8990–100

Metrics

67%
CRR Content Recovery Poor
1.00
SSD Semantic Signal Density Good
4,098 tok
TC Token Cost Needs work
224 ms
TTFUT Time to First Useful Token N/A

Token Cost breakdown

Where the page's tokens go (≈28,831 across regions). Most tokens are real content — the agent isn't paying much for chrome.

Content
99.9% · 28,790
Chrome (nav / header / footer)
0% · 0
Boilerplate (cookie / ad)
0% · 0
Other
0.1% · 41

Final screenshot

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

Diagnostics

high CRR Content is hidden behind JavaScript

pre-JS raw HTML

Evidence33% 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 Token cost over budget — 0.09999999999999432% non-content

agent representation (Chrome/markdown output)

EvidenceToken decomposition: content 99.9%, chrome 0%, boilerplate 0%, other 0.1%. 4098 tokens total.
ImpactAn agent pays for every token; 0.09999999999999432% is chrome/boilerplate/other and crowds the context window.
Effort30–90 min

Fix: Trim boilerplate, collapse repeated structures, and drop decorative markup from agent-visible content so an agent spends fewer tokens to read the page.

Rendered profile: headless

Agent Discoverability 48/100 · Agent Blocked

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 No JSON-LD found Learn →
agents.json Found at /agents.json Learn →
~ WebMCP endpoint Absent (emerging standard) Learn →
OpenAPI / API docs Found at /swagger.json Learn →

Issues (5)

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

No login wall on public content high impact HTTP 403

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

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/

~ 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

Passed audits (6)

✓ No CAPTCHA wall✓ No content-blocking cookie wall✓ XML sitemap present + fresh✓ Server response (TTFB)✓ agents.json discovery✓ API documentation

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=31557600
❌ 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

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