What exactly is AiVIS Cite Ledger?

AiVIS Cite Ledger is an evidence-backed AI citation audit and remediation system. It measures how AI models, ChatGPT, Perplexity, Claude, and Google AI, interpret, trust, and cite your web content. The result is a 0–100 CITE LEDGER score across seven weighted dimensions, with BRAG evidence-linked findings and prioritized fixes.

How is this different from Semrush, Ahrefs, or Clearscope?

Traditional SEO tools optimize for keyword ranking in traditional search results. AiVIS Cite Ledger audits citation readiness, the specific signals that determine whether AI answer engines retrieve and cite your content. A page can rank #1 on Google and be completely invisible to AI answer synthesis.

What is BRAG and how does it make findings trustworthy?

BRAG stands for Based-Retrieval-Auditable-Grading. It ties every audit finding to a real, traceable element on your page, a specific heading, schema block, meta tag, or content section, each carrying a unique evidence ID. You can open the element, verify the finding, and recheck it after a fix. No black boxes.

Is the free tier genuinely useful, or just a teaser?

The Observer (free) plan gives you a full composite CITE LEDGER score and all seven dimension letter grades, so you can see exactly where you stand and which categories are hurting you. BRAG evidence IDs and prioritized fix packs require a paid plan. Three audits per month, no credit card.

Three Free Tools: Schema Validator, Robots Checker, and Content Extractability | AiVIS Cite Ledger Blogs

By R. Mason · 2026-03-24 · 6 min read · IMPLEMENTATION

Before you run a full audit, check the basics. These three free tools expose the structural gaps that cost you AI citations every day.

Key Takeaways

Schema Validator extracts and evaluates all JSON-LD, microdata, RDFa, OpenGraph, and Twitter Card markup from any URL.
Robots Checker identifies which crawlers are allowed or blocked, catches AI crawler blocking, and flags conflicting directives.
Content Extractability scores heading clarity, answer block density, paragraph structure, factual claim density, and list/table completeness.
All three tools are free, no account required, no email gate. Available as standalone entry points into the AI visibility audit pipeline.

Article

Not everyone needs a full AI visibility audit right away. Sometimes you just want to check one thing. Is my schema markup correct? Can AI crawlers access my pages? Is my content actually machine-readable?

AiVIS Cite Ledger offers three standalone tools that answer these questions. No account required. No paywall. No email gate. Just enter a URL and get results.

Schema Validator

The Schema Validator takes a URL and extracts every piece of structured data on the page. JSON-LD blocks, microdata attributes, RDFa markup, OpenGraph tags, Twitter Card metadata. Everything.

The output shows you exactly what AI models can extract from your structured data layer. It lists every schema type found, every property defined, and highlights missing required properties.

This is not basic validation that just checks JSON syntax. It evaluates semantic completeness. Does your Article schema have a headline, author, publisher, and datePublished? Does your Organization schema have a name, url, and logo? Does your FAQPage schema actually contain question-answer pairs?

For each schema type found, the validator shows the property coverage percentage and flags specific gaps. If you have an Article schema that is missing author information, the validator tells you exactly which property is absent.

This matters because partial schema is sometimes worse than no schema. A malformed JSON-LD block can confuse AI extractors and produce worse results than a page with no structured data at all.

The Schema Validator is available at [aivis.ing/tools/schema-validator](https://aivis.ing/tools/schema-validator).

Robots Checker

The Robots Checker analyzes your robots.txt and meta robots directives to show you exactly which crawlers have access to your content and which are blocked.

This sounds basic until you realize how many sites accidentally block AI crawlers. A robots.txt rule intended to block old scrapers might also block GPTBot, Anthropic's Claude crawler, or Google's new AI-specifi

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