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.

Author Entity Markup for AI Trust | AiVIS Cite Ledger

AI models trust attributed content more than anonymous text. Author entity markup links your content to a verified identity, boosting citation confidence.

Author Signals for AI

Person schema connecting an author to articles tells AI models who created the content and allows cross-referencing of that person's expertise and publishing history.

Implementing Author Markup

Add Person schema with name, url (author page), jobTitle, and sameAs (links to social profiles, LinkedIn, etc.).

Connect Person to Article schema via the author property. Each authored page should reference the author entity.

Create dedicated author pages on your site with bio, credentials, and links to published content.

Building Author Authority

Consistent authorship across a topic cluster builds AI recognition of domain expertise.

Cross-platform presence (LinkedIn, Twitter, industry publications) validated via sameAs strengthens the entity graph.

Author pages indexed by AI become authority references that boost all associated content.

Frequently Asked Questions

Does author markup improve citations?: Yes, attributed content from known authors receives higher trust scores in AI citation ranking compared to anonymous content.
What is sameAs in Person schema?: sameAs links your author entity to verified profiles on other platforms (LinkedIn, Twitter, Wikipedia), helping AI build a trusted identity graph.
Do I need author pages for AI visibility?: Strongly recommended. Author pages give AI models a canonical reference point for the author entity, improving attribution accuracy.