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 Otterly | AI Visibility Comparison

Otterly tracks whether your brand appears in AI-generated answers. AiVIS Cite Ledger audits why or why not , checking the structural signals that AI models evaluate before deciding to cite a source.

Monitoring vs Root-Cause Auditing

Otterly provides a monitoring dashboard that tracks your brand's presence across AI answer engines. It tells you where you appear and how often.

AiVIS Cite Ledger goes upstream: it audits the page-level structural signals , schema markup, crawl access, heading hierarchy, content extractability , that determine whether AI models will cite you. Monitoring tells you the symptom; AiVIS Cite Ledger diagnoses the cause.

Evidence Methodology

AiVIS Cite Ledger anchors every finding to a specific evidence ID through BRAG, the zero-hallucination gate. Each recommendation is tied to something observable on the page , not a heuristic or a best guess.

Otterly reports visibility presence without linking findings to page-level structural evidence. AiVIS Cite Ledger tells you exactly what to fix and where, with code-level specificity.

When You Need Which

If you need to know whether AI mentions your brand today, Otterly provides that data. If you need to know why AI misses your content and what to fix structurally, AiVIS Cite Ledger provides the evidence-backed audit.

For a complete AI visibility workflow: use AiVIS Cite Ledger to fix structural problems first, then Otterly to monitor the results over time.

Frequently Asked Questions

Does Otterly tell me what to fix?: Otterly focuses on monitoring and tracking AI mentions. AiVIS Cite Ledger provides specific, evidence-linked fix recommendations with code examples and structural remediation steps.
Does AiVIS Cite Ledger monitor AI mentions?: AiVIS Cite Ledger includes brand mention tracking across supported public source categories, but its core function is structural auditing and citation readiness , not ongoing mention monitoring.
Can I use both?: Yes. Fix your structural issues with AiVIS Cite Ledger first, then monitor your AI presence with Otterly. They solve consecutive steps of the same problem.