www.samsclub.com

Report from 9/28/2026, 9:53:29 AM https://www.samsclub.com
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What AI tells your customers about youAgent confidence: LOW
✅Business nameSam’s Club
✅CategoryOrganization
🟡Price$19.48 · guessed from page text (no structured data)
❌Locationnot found
❌Hoursnot found
❌Productsnot found
🟡DescriptionShop Samsclub.com today for Every Day Low Prices. Join Sam's Club as a Plus Member and get free same-day or next-day delivery from your club & free shipping on eligible items totaling $50 or more. · guessed from page text (no structured data)

An agent is likely to fabricate missing details rather than say “I don’t know”. 2/7 applicable facts come from machine-readable structured data.

Agent blocked: challenge/interstitial served (only 11 tokens recovered) — scores reflect the block page, not your content.
BLOCKED
0–4950–8990–100

Metrics

100%
CRR Content Recovery Good
0.17
SSD Semantic Signal Density Poor
11 tok
TC Token Cost Good
170 ms
TTFUT Time to First Useful Token N/A

Token Cost breakdown

Where the page's tokens go (≈166 across regions). 93% is non-content — chrome and boilerplate an agent pays for. Add landmark roles (main/nav/header/footer) so agents can skip it.

Content
6.6% · 11
Chrome (nav / header / footer)
93.4% · 155
Boilerplate (cookie / ad)
0% · 0
Other
0% · 0

Final screenshot

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

Diagnostics

high CRR Agents are blocked before they see the page

bot wall / WAF challenge

EvidenceA non-browser agent got a block/challenge (challenge/interstitial served (only 11 tokens recovered)). Every score below is measured against that wall.
ImpactEvery metric below is invalid until agents can reach real content.
Effort1–2 h

Fix: Allowlist legitimate agent user-agents / IP ranges in your WAF or bot-management rules, and serve real content (not a challenge) to them.

high SSD Low signal-to-noise for agents

content vs chrome/boilerplate

Evidencesignal 0.29 · 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 93.4% of tokens are non-content (boilerplate/chrome)

agent representation — token decomposition

EvidenceToken decomposition: content 6.6%, chrome 93.4%, boilerplate 0%, other 0%. Only 6.599999999999994% 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 78/100 · 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 Found at /llms.txt but missing H1/blockquote Learn →
✓ robots.txt (AI bots) Major AI bots allowed Learn →
~ sitemap.xml Sitemap found but no <url>/<loc> entries 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 Found at /api-docs Learn →

Issues (5)

~ llms.txt present + valid high impact Found at /llms.txt but missing H1/blockquote

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 Sitemap found but no <url>/<loc> entries

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

Passed audits (6)

✓ robots.txt allows AI bots✓ No CAPTCHA wall✓ No content-blocking cookie wall✓ No login wall on public content✓ Server response (TTFB)✓ 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=63072000; 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

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