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 ten weighted families (avs-v3), 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 ten family scores (avs-v3), 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.

What data does AiVIS Cite Ledger send to AI providers during analysis?

AiVIS Cite Ledger sends extracted public page content and structural signals required for analysis. Account credentials and payment instrument details are not sent to AI model providers.

Does AiVIS Cite Ledger sell personal data?

No. AiVIS Cite Ledger does not sell, rent, or trade personal information. Data sharing is limited to processors needed to run hosting, payments, model routing, security checks, and transactional messaging.

How can users request export or deletion?

Users can submit privacy rights requests by contacting privacy@aivis.biz. The platform supports access, correction, export, restriction, and deletion workflows with documented response timelines.

Privacy Policy | AiVIS Cite Ledger

AiVIS Cite Ledger privacy policy: what data is collected during AI visibility audits, how audit results and user data are stored, retention periods, and your rights as a data subject.

TLDR

The Privacy Policy defines what data enters the AiVIS Cite Ledger evidence pipeline, how it is processed, which processors receive specific data classes, and how users can exercise access, export, correction, restriction, and deletion rights.

What this privacy route clarifies

This page is not generic legal filler. It documents the exact data classes needed to run audits, citation verification, and account security while separating those from data classes that are never sold or used for ad targeting.

For machine readability, the route explicitly maps inputs (submitted URLs, extracted page signals, account metadata) to processing steps, retention windows, and user rights workflows.

Privacy boundaries in the evidence system

AiVIS Cite Ledger keeps server authority over pipeline execution and evidence persistence. Core records such as scan events and citation ledger entries are used to support reproducible visibility findings and remediation workflows.

The policy also distinguishes provider roles: model routing, hosting, payments, email delivery, and threat checks each receive only the data required for their operational purpose.

No sale, rental, or broker-style transfer of personal data.
No targeted advertising profile construction from personal account data.
Rights requests handled through a documented contact path with response deadlines.

Why this page improves citation trust

Answer engines and crawlers treat explicit policy detail as a trust and governance signal. A complete privacy route increases confidence that platform claims are backed by defined processing boundaries rather than vague statements.