www.target.com

Report from 8/12/2026, 9:45:53 AM https://www.target.com
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What AI tells your customers about youAgent confidence: MEDIUM
Business nameTarget : Expect More. Pay Less.
CategoryWebPage
🟡Price$15 · 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 Target online and in-store for everything from groceries and essentials to clothing and electronics. Choose contactless pickup or delivery today. · 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.

Agent blocked: challenge/interstitial served (only 15 tokens recovered) — scores reflect the block page, not your content.
BLOCKED
0–4950–8990–100

Metrics

30%
CRR Content Recovery Poor
0.56
SSD Semantic Signal Density Needs work
15 tok
TC Token Cost Good
498 ms
TTFUT Time to First Useful Token N/A

Token Cost breakdown

Where the page's tokens go (≈5,813 across regions). Most tokens are real content — the agent isn't paying much for chrome.

Content
65.5% · 3,810
Chrome (nav / header / footer)
32.6% · 1,896
Boilerplate (cookie / ad)
0% · 0
Other
1.8% · 107

Final screenshot

Final screenshot of https://www.target.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 15 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 CRR Content is hidden behind JavaScript

pre-JS raw HTML

Evidence70% of content requires JS · 30% 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 SSD Low signal-to-noise for agents

content vs chrome/boilerplate

Evidencesignal 0.02 +llms.txt bonus · generic JSON-LD 1/1
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.

Rendered profile: headless

Agent Discoverability 90/100 · Agent Ready

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 Learn →
robots.txt (AI bots) Major AI bots allowed Learn →
sitemap.xml No /sitemap.xml Learn →
JSON-LD structured data Types: WebPage Learn →
~ agents.json Absent (emerging standard) Learn →
~ WebMCP endpoint Absent (emerging standard) Learn →
~ OpenAPI / API docs No OpenAPI/Swagger found Learn →

Issues (4)

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 (8)

✓ robots.txt allows AI bots✓ No CAPTCHA wall✓ No content-blocking cookie wall✓ Machine-readable prices✓ llms.txt present + valid✓ 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.

100Transport posture (0–100, unscored)
5pass
0warn
0fail
Per-header findings (6)
HeaderEvidence
✅ HTTPSserved over HTTPS
✅ HSTSmax-age=31536000; includeSubDomains
✅ Content-Security-Policypolicy present, script-src does not allow inline
✅ X-Content-Type-Optionsnosniff
✅ Referrer-Policyno-referrer-when-downgrade
➖ 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