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 Lumar: AI Visibility vs Website Intelligence | AiVIS Cite Ledger

Lumar (formerly Deepcrawl) provides enterprise website intelligence, crawl data, accessibility monitoring, and site health. AiVIS Cite Ledger audits a specific dimension: can AI answer engines read and cite your pages?

Website Intelligence vs AI Citation Readiness

Lumar crawls large websites to produce intelligence about site health, crawlability, accessibility, and technical performance. It's a comprehensive technical monitoring tool.

AiVIS Cite Ledger focuses narrowly on AI visibility: schema markup, AI crawler rules, content extractability, heading structure, and the specific signals that ChatGPT, Perplexity, and Claude evaluate before citing a source.

What Lumar Misses for AI

Lumar checks whether pages are crawlable by traditional search engines but does not audit AI-specific signals like llms.txt, AI crawler user-agent permissions, or JSON-LD schema coverage for AI citation eligibility.

AiVIS Cite Ledger fills this gap by auditing the exact signals that determine AI answer engine behavior.

Combining Website Intelligence with AI Auditing

Lumar provides the broad technical health monitoring. AiVIS Cite Ledger adds the AI-specific layer. Together, they give full-spectrum visibility into both traditional and AI-driven discovery.

Use Lumar's crawl data to identify high-priority pages, then audit those pages with AiVIS Cite Ledger for AI readiness.

Frequently Asked Questions

Does Lumar audit AI visibility?: Lumar provides comprehensive website intelligence but does not specifically audit AI answer engine readiness, it doesn't check llms.txt, AI crawler access, or JSON-LD coverage for AI citation.
Is Lumar or AiVIS Cite Ledger better for technical SEO?: Lumar is better for broad technical SEO intelligence at scale. AiVIS Cite Ledger is better for AI-specific visibility auditing. They serve different purposes.
Can I use Lumar data with AiVIS Cite Ledger?: Yes. Use Lumar to identify crawlability issues and high-value pages, then audit those pages with AiVIS Cite Ledger for AI visibility specifically.