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amazon.com

 

AI Agentic Readiness

4 / 30
agentic checks passed
26% readiness - how well this site can be read, trusted and transacted with by AI agents
Last checked

amazon.com is live and passes 4 of 30 agentic-readiness checks (26%). It runs on cloudflare over HTTPS.

For AI agents, amazon.com's strongest signals are fully indexable pages, a visually stable layout, a lightweight page, and an efficient render path.

Its main gaps are thin semantic structure, noisy markup, no canonical URL, and no structured tables or lists. The weakest area is Machine extraction; addressing it first would raise this score the most.

Agent interaction
✗Semantic HTML5 & AccessibilityMissing lang attribute on <html> tag
✗Clean, Crawlable HTMLNo H1 tag(s) found (0)
~Extraction Friction ScoreFew pages have voice-friendly lead paragraphs
✓Indexability & Snippet Eligibilityrobots.txt blocks Google-Extended - content is excluded from Google AI training and grounding
✓Layout Stability & ResponsivenessViewport is configured and media declares dimensions - static layout-stability signals look good
✗Canonical URL StrategyNo canonical URL tag found
✓Page Speed: Page SizeLightweight document structure
✓Page Speed: Load BlockersEfficient critical rendering path
Machine extraction
✗Table & List ExtractabilityNo HTML tables found across homepage
~Sentence AtomicityNo eligible pages with sufficient text
~Entity DensityNo eligible pages with sufficient text
✗Definition PatternsNo definition patterns found
~Answer Capsule PatternNo H2 headings found across sampled pages
Structured data
✗Schema.org Structured DataNo JSON-LD structured data found across homepage
✗Schema Coverage & DepthNo JSON-LD found - cannot assess schema coverage
✗Speakable SchemaNo JSON-LD found across homepage - cannot assess speakable schema
AI discovery
✗llms.txt FileNo llms.txt file found at https://amazon.com/llms.txt (connection failed)
~robots.txt for AI CrawlersAI crawlers BLOCKED: gptbot, claudebot, perplexitybot
✗Sitemap CompletenessNo sitemap.xml found
✗RSS/Atom FeedHomepage does not link to an RSS/Atom feed in <head>
✗Internationalization SignalsNo lang attribute on <html> element
✗Content Licensing & AI PermissionsNo ai.txt file found
Trust & transparency
✗Entity Authority & E-E-A-TNo Organization schema to reinforce entity identity
✗Creator TransparencyCreator visibility is weak on content-like pages
~Methodology TransparencyLittle content-production or review transparency is visible
~AI Assistance DisclosureNo AI-assistance disclosure found on sampled pages (neutral - the engine cannot tell whether AI was used)
✗Visible Date SignalNo visible date signals found across homepage (no <time> elements, no JSON-LD dates, no article meta dates)
~Title & Meta Quality1/1 titles are shorter than 10 or longer than 70 characters
✗Content Freshness SignalsNo JSON-LD date properties (datePublished/dateModified) found across homepage
✗Author & Expert SchemaNo Person schema found across homepage

Every check is a verifiable fact about amazon.com's live pages. Scoring follows Google Lighthouse agentic-browsing: a fraction of concrete checks, not an invented 0-100.

How to improve for AI agents

The highest-impact changes to make amazon.com more agent-ready, in priority order.

1 Add structured tables and lists critical impact medium effort
Present amazon.com's comparison and spec data as real HTML tables and lists agents can extract.
2 Strengthen entity authority (NAP) critical impact medium effort
Make amazon.com's name, address and phone consistent and add Organization schema to anchor its identity.
3 Add content freshness signals critical impact medium effort
Refresh and re-date amazon.com's key pages so agents see it as maintained.
4 Add definition-style content critical impact medium effort
Add clear "X is ..." definitions on amazon.com so agents can lift direct answers.

Trust & legitimacy signals

✓Currently activeyes (HTTP 200)
✓Secure (HTTPS)yes
✓Identifiable technologycloudflare

Show your score

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amazon.com is 26% AI-Ready - MarkosWeb

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Agentic readiness for amazon.com last checked . Machine-readable: JSON. Method: methodology.

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