How to Calculate Your Own Information Density Score
Learn the formula: (Proper Nouns + Numbers + Dates) / Total Words. Calculate the fluff in your content manually or automate it across your domain with RankAsAnswer.
Information Density Score Components
"Schema markup is very important for your website. You should use it because it helps AI understand your content better and can improve your visibility in search results."
"FAQPage Schema increases AI citation frequency by 2.4× (RankAsAnswer, 2025). JSON-LD is preferred over Microdata because it is render-independent. Google's structured data parser reads JSON-LD before body text."
Avg Density Score by Industry
Source: RankAsAnswer information density analysis across industries · 2025
What is information density?
Information density is the ratio of "factual content tokens" to total tokens in a piece of text. In the context of AI search and RAG retrieval, high-density content contains many specific, verifiable, citable facts relative to its total word count. Low-density content is padded with filler text, generic observations, and qualifying language that contains no new information.
LLMs are optimized for information extraction. When they retrieve a chunk, they're looking for the specific facts they can use to build an answer. Chunks with high information density yield more usable facts per context window token — making them both more likely to be retrieved and more likely to be cited.
The fluff tax
The information density formula
The practical information density formula counts three types of high-signal tokens:
Information Density Score
(P + N + D) ÷ W × 100
A score of 15 means 15% of your words are high-signal fact carriers. A score of 5 means 95% of your content is filler or generic text.
Manual calculation walkthrough
Let's calculate the information density of two real paragraph examples to illustrate the difference:
Example A: Low density paragraph
Word count (W): 52 words
Proper nouns (P): 0
Numbers (N): 0
Dates (D): 0
Information Density Score: (0 + 0 + 0) ÷ 52 × 100 = 0%
Example B: High density paragraph
Word count (W): 48 words
Proper nouns (P): 6 (B2B, Demand Gen Report, RankAsAnswer, ChatGPT, Perplexity, Google AI Overviews)
Numbers (N): 4 (3.2x, 41%, 90 days)
Dates (D): 1 (2025)
Information Density Score: (6 + 4 + 1) ÷ 48 × 100 = 22.9%
Industry benchmarks by content type
Improving your information density score
Add a statistic per 150 words
Source specific statistics with publication names and years. Even rough estimates with attribution are better than vague claims.
Name the entities you reference
Replace 'a popular CRM tool' with 'Salesforce CRM'. Replace 'a recent study' with 'a 2025 McKinsey AI adoption survey'. Named entities count toward your score; anonymous references don't.
Add year references to claims
Dating claims adds density and freshness signals simultaneously: 'as of Q1 2026' or '(last updated March 2026)' converts a generic claim into a time-anchored fact.
Replace qualifying filler with data
Phrases like 'many companies' or 'increasingly popular' carry zero density. Replace with specific numbers: '47% of Fortune 500 companies' or 'adoption grew 312% year-over-year'.
Automating information density analysis at scale
Manually calculating information density for 50+ pages is impractical. RankAsAnswer's page analyzer automatically calculates information density scores across your entire domain, flagging the pages with the lowest scores and generating specific recommendations for which passages to improve.
The density report shows you your site's average score, your worst-performing pages, and a comparison against the highest-citing competitor pages in your category — so you have a clear gap analysis to prioritize your content improvement work.