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.

No Author Attribution - AI Can't Verify Expertise | AiVIS Cite Ledger

AI models prioritize content from verified authors. Pages without bylines, author schema, or entity links are treated as anonymous, and anonymous content gets fewer citations.

Why Author Identity Matters

AI models assess content trustworthiness partly through author attribution. Named, verifiable authors signal editorial responsibility and expertise.

This maps to Google's E-E-A-T framework (Experience, Expertise, Authoritativeness, Trust) which AI models also factor into citation decisions.

What Good Attribution Looks Like

A visible byline with the author's name linked to an author page.

Author page with bio, credentials, and links to other published work.

Person schema (JSON-LD) connecting the author entity to the content, with name, url, and sameAs properties linking to social profiles.

Adding Author Attribution

Add a byline component to your blog/article template. Link the author name to a dedicated author page.

Add Person schema in JSON-LD to every authored page, connecting the person to the Article schema via the author property.

Ensure author pages are indexable and contain enough information for AI models to verify the person's credentials.

Frequently Asked Questions

Does anonymous content get cited by AI?: Less frequently. AI models use author attribution as a trust signal. Anonymous content from unknown publishers is deprioritized in citation ranking.
What schema do I need for authors?: Use Person schema with name, url (author page), and sameAs (social profiles). Connect it to Article schema via the author property.
Do social profiles help AI visibility?: Yes, sameAs links in Person schema help AI models verify author identity across platforms, strengthening the trust signal.