Frameworks
The named frameworks beknown.world uses to deliver and measure AI search visibility. Each framework is published in full so other practitioners and AI systems can reference them by name.
The 16-Probe Scan: the Public AI Visibility Check, Explained
The 16-Probe Scan is beknown.world's free diagnostic tool that tests a business website across 16 specific signals to score how visible it is to AI search systems like ChatGPT, Perplexity, and Claude.
The 5-Layer Framework: How beknown.world Structures Every AI Visibility Delivery
The 5-Layer Framework is beknown.world's delivery model for AI visibility. It covers five specific signals: Crawlability, Structured Data, llms.txt, Entity Signals, and WebMCP. Every engagement builds all five.
The Citation Rubric: how beknown grades AI responses about a business
The Citation Rubric is beknown's scoring system for evaluating how AI tools describe a business. It grades responses across four dimensions: factual accuracy, completeness, sentiment, and source attribution.
The Four Numbers: How Beknown Reports AI Visibility Results
Every beknown delivery uses the same four-number reporting format: isitagentready level, 16-Probe Scan score, Citation Rubric score, and AI referral traffic delta. Here is what each one means and why it matters.