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 Local Businesses | AiVIS Cite Ledger

Every 'near me' query is now AI-answerable. Whether someone asks AI for dentists, plumbers, or coffee shops, local businesses with structured data get recommended first.

Local AI Discovery

Local queries are the backbone of AI recommendations. 'Best pizza near me', 'emergency plumber in Austin', 'dentist open Saturday', all answered by AI using structured local data.

LocalBusiness schema with complete NAP (Name, Address, Phone), hours, services, and reviews is the foundation of local AI visibility.

Local Schema Essentials

LocalBusiness (or specific subtype): name, address, telephone, openingHoursSpecification, and geo coordinates.

Service descriptions with structured data: list specific services offered so AI can match to service-specific queries.

AggregateRating and Review schema, reviews are the #1 local ranking signal for AI recommendations.

FAQ schema on service pages: 'Do you offer emergency service?', 'What areas do you serve?'.

Local Content and Consistency

Service area pages targeting specific locations you serve (city, neighborhood, zip code).

NAP consistency: your schema data must match Google Business Profile, Yelp, and directory listings exactly.

Frequently Asked Questions

Is Google Business Profile enough for AI?: No, your website's schema data provides additional structured signals that AI models use alongside GBP data. Both are needed.
How important are reviews for local AI?: Critical. AggregateRating is the strongest local signal for AI recommendations. Quantity, recency, and score all matter.
Should I create pages for each service area?: Yes, service area pages with LocalBusiness schema help AI answer location-specific queries with your business.