www.wayfair.com

Report from 8/11/2026, 9:47:01 AM https://www.wayfair.com
Latest run · lab, cold cache
45
8/11/2026
28-day score · p75 · the standard
3/7 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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[![Core Agent Vitals](https://agentvitals.dev/badge/wayfair.com.svg)](https://agentvitals.dev/results?url=https%3A%2F%2Fwww.wayfair.com)
<a href="https://agentvitals.dev/results?url=https%3A%2F%2Fwww.wayfair.com"><img src="https://agentvitals.dev/badge/wayfair.com.svg" alt="Core Agent Vitals" height="20"></a>
What AI tells your customers about youAgent confidence: MEDIUM
Business nameWayfair
CategoryWebSite
🟡Price$35 · guessed from page text (no structured data)
Locationnot applicable · not applicable to this page type
Hoursnot applicable · not applicable to this page type
Productsnot applicable · not applicable to this page type
🟡DescriptionShop Wayfair for A Zillion Things Home across all styles and budgets. 5,000 brands of furniture, lighting, cookware, and more. Free Shipping on most items. · guessed from page text (no structured data)

An agent gets the basics but will guess on the gaps. 2/4 applicable facts come from machine-readable structured data.

45
Overall score
weighted CAV (0–100)
FAIL
0–4950–8990–100

Metrics

3%
CRR Content Recovery Poor
0.64
SSD Semantic Signal Density Good
1,059 tok
TC Token Cost Good
613 ms
TTFUT Time to First Useful Token N/A

Token Cost breakdown

Where the page's tokens go (≈39,040 across regions). 53% is non-content — chrome and boilerplate an agent pays for. Add landmark roles (main/nav/header/footer) so agents can skip it.

Content
47% · 18,339
Chrome (nav / header / footer)
53% · 20,701
Boilerplate (cookie / ad)
0% · 0
Other
0% · 0

Final screenshot

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

Diagnostics

high CRR Content is hidden behind JavaScript

pre-JS raw HTML

Evidence97% of content requires JS · 3% 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.

medium TC 53% of tokens are non-content (boilerplate/chrome)

agent representation — token decomposition

EvidenceToken decomposition: content 47%, chrome 53%, boilerplate 0%, other 0%. Only 47% 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 73/100 · 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 No /sitemap.xml Learn →
JSON-LD structured data Types: WebSite Learn →
~ agents.json Absent (emerging standard) Learn →
~ WebMCP endpoint Absent (emerging standard) Learn →
~ OpenAPI / API docs No OpenAPI/Swagger found Learn →

Issues (6)

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 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/

~ Server response (TTFB) low impact 1072ms (good ≤800, warn ≤1800)

Business impact Slow servers cause agents to time out and move on. Fast response keeps you in the running.

What we measured We time the response (time-to-first-byte) against good (<800ms) / warn (<1800ms) thresholds.

How to fix Use a CDN, caching and an optimized origin to get TTFB under 800ms.

Spec: https://web.dev/ttfb/

~ 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✓ Machine-readable prices✓ No login wall on public content✓ Structured data (JSON-LD)

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.

81Transport posture (0–100, unscored)
3pass
1warn
1fail
Per-header findings (6)
HeaderEvidence
✅ HTTPSserved over HTTPS
✅ HSTSmax-age=15552000; includeSubDomains; preload
✅ 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

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