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.

The 7 Citation Dimensions AI Uses to Decide If Your Content Is Trustworthy | AiVIS Cite Ledger Blogs

By R. Mason · 2026-06-02 · 10 min read · AEO

Your AI citation score is not a black box. It is seven weighted dimensions, three of which are classic technical SEO. Here is exactly what each measures.

Key Takeaways

The CITE LEDGER score is a deterministic weighted composite of seven dimensions, same evidence, same score.
Schema & Structured Data is the heaviest single dimension.
Three dimensions, Technical Trust, Meta & OG, Heading Structure, are traditional technical/on-page SEO, a large share of the score, analyzed by default.
FAQPage schema pages are cited 3.1x more often in direct-answer responses.
Every finding links to a traceable evidence ID you can verify and re-check after a fix.

Article

When AiVIS Cite Ledger audits a page, the score is not a vibe. It is a deterministic, weighted composite of seven dimensions. Same page, same evidence, same score, every time. Here is each dimension, its real weight, and what passing versus failing looks like.

A point up front for anyone worried this replaces SEO: it does not. Three of the seven dimensions, Technical Trust, Meta Tags & Open Graph, and Heading Structure, are traditional technical and on-page SEO, and together they make up a large share of the score. AiVIS analyzes technical SEO by default. Citation readiness is SEO plus the AI-specific layer, not instead of it.

1. Schema & Structured Data, the heaviest dimension

The single heaviest dimension. AI systems use JSON-LD to classify what your entity is. Missing or malformed schema is the number-one reason a well-ranked page gets skipped.

Pass: Organization schema with name, url, logo, and sameAs links to LinkedIn, Wikipedia, or Crunchbase. SoftwareApplication schema on a SaaS homepage. FAQPage schema on real Q&A content.
Fail: No JSON-LD, or schema whose type does not match the page.

One hard number from our citation tests: pages with FAQPage schema are cited 3.1x more often in direct-answer responses than identical content without it.

2. Content Depth

AI extraction needs enough substance to classify a page as authoritative. Thin pages get filtered out before synthesis.

Pass: 300+ words of real body text, a self-contained direct-answer paragraph near the top, question-style headings.
Fail: Under 300 words, or marketing copy that never plainly answers the question.

3. Technical Trust (Technical SEO)

Classic technical SEO, scored by default. If a crawler cannot reliably reach and parse the page, citation readiness is zero before anything else is even checked.

Pass: HTTPS enforced, AI crawlers allowed in robots.txt, clean status codes, valid canonical.
Fail: Blocked critical crawler, noindex, or broken canonical. (Check crawler

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