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 Recruitment Agencies | AiVIS Cite Ledger

Job seekers ask AI 'best IT recruitment agencies in London' and employers ask 'executive search firms for fintech'. AI cites agencies with structured job data and service markup.

Recruitment AI Discovery

AI is changing recruitment discovery for both candidates and employers. Agencies with structured job listings, specialization data, and service schema earn dual-sided citations.

EmploymentAgency schema with specializations and JobPosting schema for active listings drive recruitment AI visibility.

Recruitment Schema

EmploymentAgency: industry specializations, geographic regions, and service types (permanent, contract, executive).

JobPosting: title, description, salary range, location, employmentType, and qualifications.

FAQ schema on process pages addressing candidate and employer questions.

AggregateRating from candidate and employer reviews.

Recruitment Content Strategy

Industry insight content: salary guides, hiring trend reports, and skills demand analyses earn informational citations.

Career guide content for candidates: interview tips, CV advice, and industry transition guides.

Employer resource content: hiring best practices, retention strategies, and workforce planning.

Frequently Asked Questions

Should every job listing have schema?: Yes, JobPosting schema makes your listings discoverable to AI job search queries and Google for Jobs integration.
Do salary guides help AI visibility?: Significantly. Salary data content is heavily cited by AI for compensation-related queries. Include specific figures and regional breakdowns.
How do specialization pages help?: Industry specialization pages help AI match your agency to specific sector queries like 'healthcare recruitment agency'.