AI Scoring Methodology & Retrieval Flow

Learn the mathematical equations, query routing diagrams, and crawler rules that determine your brand\'s visibility score inside language models.

Scoring Formula & Weight Equations

The final Visibility Score is calculated dynamically on client-side requests:

Score = (CrawlStatus * 0.40) + (SchemaCompleteness * 0.30) + (SemanticDensity * 0.30)
CrawlStatus (40% Weight): Direct parsing of robots.txt exclusions. Blocking GPTBot or ClaudeBot triggers an immediate 0/40 crawl factor penalty.
SchemaCompleteness (30% Weight): Validates sameAs links and Organization graph declarations. Evaluates if search crawlers can resolve entity identity connections.
SemanticDensity (30% Weight): Measures structural landmarks (H1/H2 tags), data tables, lists, and copy depth.

Retrieval-Augmented Generation (RAG) Flow

The chronological routing map of how conversational AI retrieves and cites web content during user prompts:

[User Prompt Input]
       ↓
[Vector Embedding Query]
       ↓
[Database / Search Index Lookup] ---> [Excludes Disallowed Crawl URLs]
       ↓
[Re-ranking & Segment Selection] ---> [Prioritizes Schema Entity Matches]
       ↓
[Response Synthesizer]
       ↓
[Footnote & Citation Card Generation]
        

AI Crawler Bot Exclusion Reference

Verified crawler parameters and block behaviors for generative search agents:

User-AgentPublisherRobots.txt DirectiveDrift / Block Behavior
GPTBotOpenAIUser-agent: GPTBotDisallowing blocks future model generations
OAI-SearchBotOpenAIUser-agent: OAI-SearchBotDisallowing blocks immediate conversational citations
ClaudeBotAnthropicUser-agent: ClaudeBotDisallowing restricts context window retrieval
PerplexityBotPerplexity AIUser-agent: PerplexityBotDisallowing excludes footnotes placement eligibility
Google-ExtendedGoogleUser-agent: Google-ExtendedDoes not block standard AI Overview searches

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