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.

llms.txt - Describe Your Site for AI Models | AiVIS Cite Ledger

llms.txt is like robots.txt for context instead of access. It gives AI models a curated summary of your site, improving citation accuracy and reducing hallucinations.

The llms.txt Standard

llms.txt is a plaintext file at your domain root that provides structured context about your site for AI language models.

It typically includes your site name, description, key content areas, primary topics, and any citation or attribution preferences.

Creating Your llms.txt

Start with a clear header: your site name and a one-sentence description.

List your main content sections with brief descriptions of what each covers.

Keep it under 500 words. AI models read llms.txt for quick context, not detailed analysis.

Include any attribution preferences: how you'd like to be cited, your brand name format, and key factual claims to verify.

Deploying llms.txt

Host the file at yourdomain.com/llms.txt. Ensure your server returns it with text/plain content type.

Reference it in your robots.txt for discoverability. Some AI systems actively look for it; others follow robots.txt references.

Update it whenever your site's content focus or structure changes significantly.

Frequently Asked Questions

Do AI models actually read llms.txt?: Adoption is growing. Having it in place costs nothing and provides context for any AI system that supports it, with more adopting the standard over time.
What should I include in llms.txt?: Site name, brief description, main content categories, key pages, attribution preferences, and any factual claims you want AI to verify against your site.
Is llms.txt official?: It's a community-proposed standard gaining traction. It's not governed by a standards body but is supported by an increasing number of AI tools.