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The 8-factor citation model

CitationProbability Calculator

Score any piece of content on the 8 factors that predict whether an AI assistant will cite it - authority, freshness, fact density, schema, entity match, passage clarity, trust signals and structural fit.

Citation probability
A

92 / 100

Very likely to cite

Authority

×15%100

Byline, date, schema, external links

Freshness

×10%80

Published / modified date signals recency

Fact density

×20%100

24.8 facts per 100 words

Schema markup

×10%90

JSON-LD Article / FAQPage / Organization

Entity match

×15%67

Query terms in content: 67%

Passage clarity

×15%100

Clarity 92 + 1/1 well-shaped chunks

Trust signals

×10%100

Named author, source links, date

Structural fit

×5%100

Question heading + answer-first

How it works

Paste a piece of content, toggle the four trust attributes (schema, author, date, external links), and enter the target query you want the content to be cited for. The calculator scores each of the 8 factors and produces a weighted citation probability score from 0 to 100.

The 8 factors

  • Authority (15%) - byline, date, schema and external sourcing.
  • Freshness (10%) - published / modified dates that signal recency.
  • Fact density (20%) - the highest-weighted factor. Numbers, dates and named sources per 100 words.
  • Schema markup (10%) - Article / FAQPage / Organization JSON-LD.
  • Entity match (15%) - how well your content entities align with the target query.
  • Passage clarity (15%) - short sentences, grade-level, well-shaped chunks.
  • Trust signals (10%) - bylines, external sources, dates, credentials.
  • Structural fit (5%) - question heading, answer-first pattern, scannable structure.

Pair with

If the score is below 70, drill into the weak factors with the Fact Density Analyzer, Trust Signal Analyzer and Passage Optimizer. Full scoring methodology in the how assistants choose citations guide.

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