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.

AiVIS Cite Ledger vs Reaudit | AI Visibility Comparison

ReAudit automates traditional SEO auditing and reporting. AiVIS Cite Ledger audits a different signal set entirely , the structural factors that AI answer engines evaluate when deciding whether to cite your content.

Traditional Audit vs AI Visibility Audit

ReAudit checks traditional SEO signals: broken links, missing meta tags, crawl errors, page speed, and similar technical issues that affect Google rankings.

AiVIS Cite Ledger audits AI-specific signals: JSON-LD schema depth, AI crawler access (GPTBot, ClaudeBot), llms.txt, heading structure for extractability, entity clarity, and content structure that AI models need to generate cited answers.

Evidence-Linked Findings

AiVIS Cite Ledger uses the BRAG zero-hallucination gate to tie every recommendation to observable page evidence. Each finding has an evidence ID that maps to specific elements on your page.

This means you don't get generic recommendations , you get precise, page-specific findings with code-level fix instructions and verifiable evidence trails.

Complementary Use

ReAudit covers traditional SEO hygiene. AiVIS Cite Ledger covers AI citation readiness. A site can pass every traditional SEO audit and still be invisible to AI if it lacks structured data or blocks AI crawlers.

Run ReAudit for your SEO baseline, then AiVIS Cite Ledger to ensure AI models can actually interpret and cite your content.

Frequently Asked Questions

Does ReAudit check AI visibility?: No. ReAudit focuses on traditional SEO signals. It does not check JSON-LD schema depth, AI crawler access, llms.txt, or any of the structural factors AI models use to decide citation eligibility.
Is AiVIS Cite Ledger an SEO audit tool?: AiVIS Cite Ledger is an AI visibility audit tool. It checks signals specific to AI answer engines, not traditional Google ranking factors. The overlap with SEO tools is minimal because the signal sets are different.
Which should I run first?: Fix traditional SEO hygiene first with ReAudit, then audit AI readiness with AiVIS Cite Ledger. AI models still need basic page accessibility, but they also require structured data and signals that traditional SEO tools don't check.