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 Consulting Firms | AiVIS Cite Ledger

When clients ask AI 'best management consulting firms for digital transformation', the firms with structured expertise data and published thought leadership get recommended.

Consulting and AI Discovery

AI is becoming a referral source for consulting services. Firms with clear expertise markup, case study content, and team credential data enter AI recommendation sets.

ProfessionalService schema, expert Person markup, and industry-specific content pages drive consulting AI visibility.

Consulting Schema

ProfessionalService: firm specialization, service areas, and geographic coverage.

Person schema for consultants with credentials, expertise areas, and notable projects.

Article schema on thought leadership content establishing domain expertise.

FAQ schema on service pages addressing common client questions about process, pricing, and outcomes.

Consulting Content Strategy

Industry insight reports with specific data points that AI models can cite as expert analysis.

Process explanation content: 'How does digital transformation consulting work?' guides earn citations.

Case study summaries (anonymized) demonstrating methodology and results.

Frequently Asked Questions

Does thought leadership help AI visibility?: Significantly. Published insights with author markup establish expertise that AI models reference when generating consulting recommendations.
Should consultants have individual profiles?: Yes, Person schema on consultant profiles with credentials and expertise areas helps AI connect firm expertise to specific queries.
How do case studies help AI?: Structured case studies with results data give AI models specific evidence of expertise to cite in recommendation contexts.