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.

JSON-LD Structured Data for AI Visibility | AiVIS Cite Ledger

JSON-LD is how you tell AI models the facts about your content in a machine-readable format. It's the single most impactful structured data signal for AI citations.

What is JSON-LD?

JSON-LD (JavaScript Object Notation for Linked Data) is a structured data format embedded in a <script type='application/ld+json'> tag in your page's HTML head.

It describes entities (Article, Organization, FAQ, Product) with machine-parseable properties that AI models use from classification, attribution, and citation.

Why AI Models Prefer JSON-LD

JSON-LD is self-contained and separate from your visual HTML. AI parsers can extract it without navigating DOM structure or interpreting CSS classes.

Google, OpenAI, and Anthropic all consume JSON-LD for content understanding. It's the de facto standard for structured data in AI-era web publishing.

Essential JSON-LD Types

Organization: your brand entity with name, url, logo, founding date, and social profiles. Add to every page.

Article: for blog posts and editorial content. Includes headline, author, datePublished, dateModified, and description.

FAQPage: for pages with Q&A content. Each question-answer pair becomes a mainEntity that AI models can extract directly.

BreadcrumbList: shows page position in your site hierarchy, helping AI models understand content context.

Frequently Asked Questions

Is JSON-LD better than Microdata?: For AI visibility, yes. JSON-LD is easier to implement, maintain, and parse. It's the format AI models and Google recommend.
Where does JSON-LD go in my HTML?: In a <script type='application/ld+json'> tag, typically in the <head>. It can also go in the <body> but head placement is conventional.
Can I have multiple JSON-LD blocks?: Yes. You can have separate blocks for Organization, Article, and FAQ on the same page. Each is parsed independently.