Machine readability
Clean markup, semantic structure and render access that let models parse you effortlessly.
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Twelve yes/no signals that decide whether LLMs can find, parse and cite you. Runs entirely in your browser.
0
Self-assessed readiness
High risk of invisibility
Readiness Level
⚠️ At RiskToggle every item that applies.
Completion
0/12 items (0%)
These unchecked items would improve your score the most:
robots.txt allows AI crawlers (GPTBot etc.)
Critical: If GPTBot, Google-Extended, or CCBot are blocked, AI models cannot read your content for citations.
Pages render without JavaScript (SSR/SSG)
AI crawlers may not execute JavaScript. Server-side rendering ensures your content is accessible to all crawlers.
Structured data (JSON-LD schema) present
JSON-LD gives machines an explicit map of your entities. Without it, LLMs must infer meaning, lowering citation confidence.
AI visibility audit engine
Machine-readability, factual density, entity authority and citation-worthiness scored together — your brand's standing in the answer layer.
Clean markup, semantic structure and render access that let models parse you effortlessly.
Statistics, definitions and verifiable claims per page — the quotable substance engines lift.
Brand and author signals that make your claims attributable to a trusted node.
Formatting and freshness markers that decide whether engines quote or paraphrase past you.
Consistency and sourcing practices that keep AI summaries of you accurate.
Sequenced moves from machine-readable to machine-preferred in ninety days.
How it works
Models form opinions of brands from public signals. Measure yours before they calcify.
Step 01
Homepage or key page — the signals models ingest are evaluated.
1 URL
Step 02
Readability, density, authority and citability blend into one grade.
1 grade
Step 03
Missing facts, weak entities and format failures ordered by visibility lift.
ranked
Step 04
Execute the roadmap and re-audit as models refresh their index of you.
preferred
AI visibility, decoded
No dashboard shows your AI standing — but the signals that build it are public and improvable.
Models ingest markup, not design awards. Semantic cleanliness decides comprehension.
clean semantic pages parse with fewer errors
Why Amaris vs. the rest
Check AI readiness now
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Future-proof visibility
Audit machine-readability, density and authority — then ship the roadmap to machine-preferred.
Free · No signup · Readiness grade

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