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.

Notion Sites AI Visibility Audit | AiVIS Cite Ledger

Notion Sites turns documentation into websites instantly, but the generated HTML lacks the structured data and crawl signals that AI answer engines need.

How Notion Sites Renders for AI

Notion Sites produces server-rendered HTML, which is good for crawl access. Content blocks translate to HTML elements that AI crawlers can parse.

However, Notion's HTML output is heavily nested with generic div elements, making semantic structure harder for AI models to judge.

Notion Sites AI Gaps

Zero JSON-LD schema. Notion Sites doesn't generate any structured data, no Article, FAQ, Organization, or Breadcrumb schema.

No custom meta tags beyond what Notion auto-generates from page titles and content snippets.

No robots.txt customization, no sitemap control, and no ability to add an llms.txt file.

Working Within Notion's Limits

Use Notion's page properties to set custom descriptions and titles that will populate basic meta tags.

Structure your content with clear headings (H1, H2, H3), Notion translates these to proper heading elements that AI models use for hierarchy.

For serious AI visibility needs, consider using Notion as a CMS backend with a custom frontend (via Notion API) that adds proper schema and meta tags.

Frequently Asked Questions

Are Notion Sites visible to AI?: The raw content is crawlable, but Notion Sites lacks structured data, custom meta tags, and AI crawler rules, limiting citation potential.
Can I add JSON-LD to Notion Sites?: Not directly. Notion Sites doesn't support custom code injection. You would need a proxy layer or custom frontend to add structured data.
Is Notion Sites good for SEO?: For internal docs and simple knowledge bases, it's adequate. For competitive AI visibility, you need a platform with more control.