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.

AI Visibility for Law Firms | AiVIS Cite Ledger

When someone asks AI 'what should I do after a car accident?' or 'how does an LLC work?', the firms with structured legal content and proper attorney markup get cited. Is your firm visible?

Legal Content and AI

Legal questions are among the top AI query categories. People ask about processes, rights, and procedures, and AI cites firms with clear, structured legal content.

LegalService schema, attorney profiles with Person markup, and practice area pages with FAQ schema drive legal AI visibility.

Law Firm Schema Priorities

LegalService or Attorney schema for the firm with practiceArea, address, and review data.

Person schema for each attorney with credentials, bar admissions, and practice specialties.

Practice area pages with FAQ schema addressing common client questions for each specialty.

LocalBusiness schema with review markup for local AI queries like 'best personal injury lawyer near me'.

Legal Content Strategy

Practice area hub pages with comprehensive explanations of legal processes, rights, and next steps.

FAQ content matching how real clients ask questions: 'How long does a divorce take?' > 'Matrimonial proceedings timeline'.

Case study content (anonymized) demonstrating expertise in specific practice areas.

Frequently Asked Questions

What schema should law firms use?: LegalService, Attorney, Person (for lawyers), LocalBusiness, and FAQPage. Each practice area page should have its own FAQ schema.
Do attorney bio pages help AI?: Significantly. Attorney pages with Person schema, credentials, and practice areas help AI connect legal expertise to content authorship.
How important is local schema for law firms?: Very, most legal queries have local intent. LocalBusiness and LegalService schema with address data help AI answer 'lawyer near me' queries.