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.

How to Make AI Cite My Website | AiVIS Cite Ledger

AI citation is not luck. It is not authority. It is the output of three specific structural conditions that you can implement on any site.

The citation requirements, in order of impact

1. Crawl access (critical): GPTBot, ClaudeBot, and PerplexityBot must reach your page. Check robots.txt and CDN bot settings. Without this, everything else is irrelevant.

2. Extractable content (high impact): Server-side rendered HTML, semantic headings, clear paragraph structure. AI models extract fragments, make each fragment usable independently.

3. Entity attribution (high impact): Organization JSON-LD with sameAs links. Author schema on content pages. datePublished on all dated content. This is what converts extracted content into a citation.

Citation-optimized content structure

For informational pages: H1 states the topic, H2 headings answer sub-questions, paragraphs contain one verifiable claim each. Add FAQ JSON-LD for the question-answer blocks.

For product/service pages: Product or Service schema with description, offers, and category. Organization schema linking to your brand identity.

For all pages: meta description summarizes the page's main claim in under 160 characters. Canonical URL set and consistent.

Frequently Asked Questions

Is citation the same as a link back to my site?: Not always. Some AI tools cite with a link (Perplexity, ChatGPT browsing). Others use your content without linking (training-data responses). Extraction readiness improves both types of citation.
What is the single highest-impact change I can make today?: Check robots.txt and unblock AI crawlers. This is a five-minute edit that eliminates the most common reason sites are never cited, the crawler could never even reach the page.