John O'Sullivan's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 24 posts analyzed

What is AuthorDNA?

AuthorDNA is a hidden linguistic profile - the subconscious patterns and habits unique to how someone writes. We analyze posts across 243 style metrics specific to B2B social content and compare them to thousands of other authors.

These are the markers most people don't even notice - but they're what makes writing sound authentic.

Does More Of...

Patterns you use more often than typical LinkedIn authors

Percentage of emoji that are neutral/functional
signature
6x more
See example from 05 Nov 2025
Proportion of all-lowercase hashtags
signature
4x more
Average character length of hashtags
consistent
2x more
Proportion of hashtags placed at the end
consistent
3x more
Percentage of lines containing at least one emoji
consistent
3x more
Percentage of emoji that are 'corpspeak' type
distinctive
20x more
Number of emoji in the opening hook
4x more

Does Less Of...

Patterns you use less often - that's part of your style too!

Whether CTAs include hashtags
consistent
rarely
Whether any list structure is used
consistent
rarely
Whether CTAs include emoji
consistent
rarely
Use of 'you/your' in the hook
consistent
3x less
Typical paragraph length (median)
consistent
1.3x less
How easy the text is to read (higher = easier)
consistent
1.2x less
Average lines per text block
consistent
1.2x less
Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn't realize, but you use neutral or functional emoji 6x more than the average LinkedIn poster, and you sneak them into 3x as many lines. It's not just emoji overuse - it's *precise*, almost mechanical, like you’re coding your tone for clarity instead of emotion. Most people drop emoji for flavor, but you deploy them like punctuation.

This works because it signals discipline and intentionality to your readers. Your posts feel engineered, not accidental - and that's what makes your style so hard to reverse-engineer. Now try briefing this to a ghostwriter: “Make every sixth emoji functional, double the average hashtag length, and stack all-lowercase hashtags at the end.” They’d think you’re joking. You couldn’t follow your own brief if you tried - because this isn’t a formula, it’s your AuthorDNA.

And the kicker? You post less than once every 10 weeks. Yet your authentic patterns are unmistakable. This is exactly what Drumbeat captures - the patterns you can't articulate but your audience feels. Your company’s message, in each team member’s authentic voice, at scale.

Style Evolution

How your writing has changed (Mar 2022 - Nov 2025)

Recent 9 posts since Dec 2023
vs
Earlier 15 posts before Dec 2023
Opening hashtags Declining (27% → 11%)
Less

Style patterns based on 24 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

08 Mar 2022 - 13 Nov 2025

0.1 posts/week avg
22/193 active weeks
171 inactive weeks

Deep Dive

Explore all 17 categories of writing style

Call-to-Action Patterns
7
Feature Your DNA vs Others Consistency
Whether CTAs include emoji 0% of posts LOW STEADY
Whether CTAs include hashtags 0% of posts LOW STEADY
Average position of CTAs in the post Near top TYPICAL VARIES
CTAs phrased as questions vs statements 8% TYPICAL VARIES
CTAs using command verbs (Click, Share, Comment, etc.) 10% TYPICAL VARIES
Whether CTAs are concentrated at the end of the post 4% TYPICAL VARIES
Whether any call-to-action exists 42% of posts TYPICAL VARIES
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average emoji per line of text 36% HIGH STEADY
Count of negative/warning emoji 0.0 - 0.6 HIGH VARIES
Count of neutral/functional emoji 0.8 - 1.8 HIGH STEADY
Emoji count relative to sentence count 28% HIGH STEADY
Emoji density in the hook section 2 - 34 HIGH STEADY
Emoji used to replace words entirely 17% HIGH VARIES
Number of emoji in call-to-action lines 0.0 - 1.3 HIGH VARIES
Number of emoji in the opening hook 0.4 - 1.6 HIGH STEADY
Percentage of emoji that are 'corpspeak' type 0 - 57 HIGH VARIES
Percentage of emoji that are negative/warning 6% HIGH VARIES
Percentage of emoji that are neutral/functional 94% HIGH STEADY
Percentage of lines containing at least one emoji 28% HIGH STEADY
Whether the post starts with an emoji 17% HIGH VARIES
Average distance between repeated emoji 0% LOW STEADY
Average number of emoji appearing together in clusters 0% LOW STEADY
Balance between positive and negative emoji -6% LOW VARIES
Count of positive/celebratory emoji ~0.0 LOW STEADY
Emoji count per 1000 words 5% LOW VARIES
How consistently emoji pair with specific words 0% LOW STEADY
How consistently the same emoji is used for bullets 0% LOW STEADY
How often the same emoji repeats across the post 0% LOW STEADY
Largest group of adjacent emoji 0% LOW STEADY
Number of bullet point lines using emoji as markers ~0.0 LOW STEADY
Number of emoji clusters (groups of adjacent emoji) ~0.0 LOW STEADY
Percentage of emoji that are positive/celebratory 0% LOW STEADY
Percentage of lines that contain only emoji 0% LOW STEADY
Proportion of emoji appearing in clusters 0% LOW STEADY
Proportion of emoji that appear multiple times 0% LOW STEADY
Total count of repeated emoji across the post ~0.0 LOW STEADY
Total number of emoji in the post 0.0 - 1.1 LOW VARIES
Variety of different emoji used as bullets 0% LOW STEADY
Whether emoji are used as bullet point markers 0% LOW STEADY
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Emoji density in CTA sections 0 - 47 TYPICAL VARIES
Emoji usage in the middle section of the post 4% TYPICAL VARIES
Number of different emoji types used 0.0 - 1.1 TYPICAL VARIES
Variety of different emoji used (unique/total ratio) 25% TYPICAL VARIES
Whether any emoji are used in the post 25% of posts TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Count of positive contractions used 83% HIGH VARIES
Ratio of negative to positive contractions 83:1 HIGH VARIES
Count of negative contractions used 21% TYPICAL VARIES
Number of different contraction types 83% TYPICAL VARIES
Percentage of words that are contractions 1% TYPICAL VARIES
Total number of contractions 0.0 - 3.1 TYPICAL VARIES
Usage of negative contractions (don't, won't, can't) 23% TYPICAL VARIES
Usage of positive contractions (it's, I'm, we're) 88% TYPICAL VARIES
Variety of different contractions used 34% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'at' per 1000 words 0 - 26 HIGH VARIES
Usage of 'so' per 1000 words 0-11 per 1k words HIGH VARIES
Usage of 'because' per 1000 words 0-2 per 1k words LOW VARIES
Usage of 'by' per 1000 words 0-4 per 1k words LOW VARIES
Usage of 'is' per 1000 words 0-15 per 1k words LOW VARIES
Usage of 'which' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'who' per 1000 words 0-6 per 1k words LOW VARIES
Overall grammatical word usage 160 - 262 TYPICAL STEADY
Usage of 'a' per 1000 words 2 - 41 TYPICAL STEADY
Usage of 'and' per 1000 words 12 - 60 TYPICAL STEADY
Usage of 'as' per 1000 words 0-11 per 1k words TYPICAL VARIES
Usage of 'but' per 1000 words 0-12 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0 - 33 TYPICAL VARIES
Usage of 'if' per 1000 words 0-11 per 1k words TYPICAL VARIES
Usage of 'of' per 1000 words 5 - 31 TYPICAL STEADY
Usage of 'on' per 1000 words 0-21 per 1k words TYPICAL VARIES
Usage of 'that' per 1000 words 0-14 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 9 - 53 TYPICAL STEADY
Usage of 'to' per 1000 words 12 - 49 TYPICAL STEADY
Usage of 'with' per 1000 words 0-23 per 1k words TYPICAL VARIES
Variety of function words used 43% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 8 - 15 HIGH STEADY
Hashtag density per 100 words 0 - 14 HIGH VARIES
Proportion of all-lowercase hashtags 88% HIGH STEADY
Proportion of hashtags placed at the end 73% HIGH STEADY
Proportion of hashtags woven into the text 20% HIGH VARIES
Ratio of inline hashtags to end hashtags 0 - 462 HIGH VARIES
Total number of hashtags 0.3 - 8.8 HIGH STEADY
Whether any hashtags are used 83% of posts HIGH STEADY
Proportion of hashtags in the opening 7% LOW VARIES
Proportion of hashtags using CamelCase 8% LOW VARIES
Proportion of hashtags in ALL CAPS 3% TYPICAL VARIES
Whether the opening line contains a hashtag 25% TYPICAL VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Whether the hook contains emoji 21% of posts HIGH VARIES
Whether the hook starts with a conjunction 4% HIGH VARIES
Whether there's a blank line after the hook 58% HIGH STEADY
ALL CAPS words in the hook 1% LOW VARIES
Use of 'you/your' in the hook 1% LOW STEADY
Character count of the hook 198 - 388 TYPICAL STEADY
Character position where the hook ends 198 - 388 TYPICAL STEADY
Hook length relative to total post 68% TYPICAL STEADY
Hook lines relative to total lines 57% TYPICAL STEADY
Negation words in the hook 0.0 - 0.7 TYPICAL VARIES
Number of emoji in the hook 0.0 - 0.8 TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 68% TYPICAL STEADY
Whether the hook contains a question 12% of posts TYPICAL VARIES
Whether there's a clear opening hook section 29% of posts TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Blank lines per 100 total lines 20 - 48 HIGH STEADY
Proportion of blank space 34% HIGH STEADY
Ratio of lines starting with quotes 3% HIGH VARIES
Spacing between content-rich lines 1.0 - 2.4 HIGH STEADY
Variation in line lengths 0 - 664 HIGH VARIES
Ratio of lines starting with ALL CAPS 0% LOW STEADY
Ratio of lines starting with numbers 0% LOW STEADY
Ratio of lines starting with punctuation 0% LOW STEADY
Variation in block sizes 4% LOW VARIES
Average characters per line 103 - 200 TYPICAL STEADY
Average lines per text block 0.9 - 1.1 TYPICAL STEADY
Average spacing between blank lines 0.4 - 2.4 TYPICAL STEADY
Average words per line 15 - 33 TYPICAL STEADY
Lines containing exactly one sentence 56% TYPICAL STEADY
Number of visual text blocks 1.0 - 6.3 TYPICAL STEADY
Percentage of single-word lines 2% TYPICAL VARIES
Percentage of very short lines (<5 words) 10% TYPICAL VARIES
Predictability of line length pattern Very consistent TYPICAL STEADY
List Patterns
15
Feature Your DNA vs Others Consistency
Average items per dash/bullet list 0% LOW STEADY
Average items per emoji list 0% LOW STEADY
Consistency of emoji bullet indentation 0% LOW STEADY
Consistency of numbered list formatting 0% LOW STEADY
Nesting depth of numbered lists 0% LOW STEADY
Number of dash/bullet list sections ~0.0 LOW STEADY
Number of emoji bullet list sections ~0.0 LOW STEADY
Number of numbered list sections ~0.0 LOW STEADY
Use of fraction-style numbering (1/, 2/) 0% LOW STEADY
Variety of emoji used as bullets 0% LOW STEADY
Whether any list structure is used 0% of posts LOW STEADY
Whether dash/bullet lists are used 0% of posts LOW STEADY
Whether emoji bullet lists are used 0% of posts LOW STEADY
Whether numbered lists are used 0% of posts LOW STEADY
Use of inline enumeration 1% TYPICAL VARIES
Vocabulary & Phrases
10
Feature Your DNA vs Others Consistency
Common idioms and expressions per 1000 words 0% LOW STEADY
Count of idiomatic expressions ~0.0 LOW STEADY
Count of words used only once 27 - 79 TYPICAL STEADY
How often three-word phrases repeat 77% TYPICAL VARIES
How often two-word phrases repeat 0.0 - 8.1 TYPICAL VARIES
Length of longest repeated phrase 0.0 - 2.8 TYPICAL VARIES
Number of unique words used 30 - 98 TYPICAL STEADY
Percentage of words used only once 85% TYPICAL STEADY
Ratio of meaningful words to grammatical words 4% TYPICAL STEADY
Unique words divided by total words 82% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with There is/It is 0.0-0.2 per post HIGH VARIES
Count of sentences starting with adverbs 0.0-1.1 per post HIGH VARIES
Count of sentences starting with conjunctions 0.0-0.9 per post HIGH VARIES
Count of sentences starting with discourse markers 0.0-0.9 per post HIGH VARIES
Count of sentences starting with pronouns 0.0-2.2 per post HIGH VARIES
Count of sentences starting with subordinate clauses 0.0-1.2 per post HIGH VARIES
Count of sentences starting with time words 0.0-0.4 per post HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 5% HIGH VARIES
Sentences starting with And, But, Or, So (%) 7% HIGH VARIES
Sentences starting with adverbs (%) 5% HIGH VARIES
Sentences starting with subordinate clauses (%) 0 - 36 HIGH VARIES
Sentences starting with time words (%) 2% HIGH VARIES
Count of sentences starting with -ing verbs 0.0-0.5 per post TYPICAL VARIES
Sentences starting with 'There is/are' or 'It is' (%) 60% TYPICAL VARIES
Sentences starting with -ing verbs (%) 2% TYPICAL VARIES
Sentences starting with pronouns (I, You, We, They) (%) 0 - 33 TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Whether the ending includes hashtags 83% of posts HIGH STEADY
ALL CAPS words in the closing 1% LOW VARIES
Whether the closing has emoji clusters 0% LOW STEADY
Character length of the closing 183 - 500 TYPICAL STEADY
Closing length relative to total post 78% TYPICAL STEADY
Number of emoji in the closing 0.0 - 0.7 TYPICAL VARIES
Whether the closing has a signature phrase 17% of posts TYPICAL VARIES
Whether the ending has a call-to-action 33% of posts TYPICAL VARIES
Whether the ending includes emoji 17% of posts TYPICAL VARIES
Whether the ending is a question 17% TYPICAL VARIES
Whether there's a clear closing section 67% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Opening paragraph length vs body average 2% HIGH STEADY
Consecutive long paragraphs 8% LOW VARIES
Average change in length between paragraphs 100% TYPICAL STEADY
Average sentences per paragraph 1.2 - 2.1 TYPICAL STEADY
Average sentences per paragraph 1.2 - 2.1 TYPICAL STEADY
Closing paragraph length vs body average 64% TYPICAL STEADY
Consecutive short paragraphs 0.7 - 4.9 TYPICAL STEADY
How frequently new paragraphs start 27 - 64 TYPICAL STEADY
How much paragraph length varies 0.0 - 2.4 TYPICAL VARIES
Length of your longer paragraphs (80th percentile) 1.4 - 3.4 TYPICAL STEADY
Total number of paragraphs 1.0 - 6.3 TYPICAL STEADY
Typical paragraph length (median) 1.0 - 2.0 TYPICAL STEADY
Variation in length changes between paragraphs 69% TYPICAL VARIES
Parts of Speech
9
Feature Your DNA vs Others Consistency
Balance/distribution of different word types Moderately varied TYPICAL STEADY
Percentage of auxiliary/helper verbs 4% TYPICAL STEADY
Percentage of words that are adjectives 7% TYPICAL STEADY
Percentage of words that are adverbs 4% TYPICAL STEADY
Percentage of words that are determiners 7% TYPICAL STEADY
Percentage of words that are nouns 20 - 32 TYPICAL STEADY
Percentage of words that are prepositions 8 - 16 TYPICAL STEADY
Percentage of words that are pronouns 8% TYPICAL STEADY
Percentage of words that are verbs 7 - 16 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Average word complexity (syllables per word) 1.5 - 2.0 TYPICAL STEADY
Count of complex words (3+ syllables) 5 - 23 TYPICAL STEADY
How easy the text is to read (higher = easier) 24 - 64 TYPICAL STEADY
Percentage of complex words (3+ syllables) 10 - 27 TYPICAL STEADY
Total sentence count 2.1 - 7.6 TYPICAL STEADY
Total syllables in the post 56 - 221 TYPICAL STEADY
Total word count of the post 29 - 137 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Multiple exclamation marks per 1000 words 0-11 per 1k words HIGH VARIES
Parentheses usage per 1000 words 0-14 per 1k words HIGH VARIES
Percentage of sentences trailing off with ellipsis 3% HIGH VARIES
Colon usage per 1000 words 0-16 per 1k words LOW VARIES
En dash (–) usage per 1000 words ~0 per 1k words LOW STEADY
Mixed punctuation clusters per 1000 words ~0 per 1k words LOW STEADY
Multiple question marks per 1000 words ~0 per 1k words LOW STEADY
Question marks per 1000 words 0-15 per 1k words LOW VARIES
Semicolon usage per 1000 words ~0 per 1k words LOW STEADY
Comma usage per 1000 words 4-42 per 1k words TYPICAL STEADY
Ellipsis (...) usage per 1000 words 0-11 per 1k words TYPICAL VARIES
Em dash (—) usage per 1000 words 0-7 per 1k words TYPICAL VARIES
Exclamation marks per 1000 words 0-38 per 1k words TYPICAL VARIES
Hyphen usage per 1000 words 0-23 per 1k words TYPICAL VARIES
Percentage of sentences ending with a question 6% TYPICAL VARIES
Percentage of sentences ending with exclamation 0 - 51 TYPICAL VARIES
Quotation mark usage per 1000 words 0-15 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Average length of quoted passages 0 - 321 HIGH VARIES
Lines starting with quotation marks 3% HIGH VARIES
Presence of dialogue attribution patterns 4% HIGH VARIES
Total characters in quoted content 0 - 582 HIGH VARIES
Use of story transitions 19% HIGH VARIES
Whether the post contains quotations 67% of posts HIGH STEADY
Lines using past tense 37% TYPICAL STEADY
Number of narrative/story signals 0.9 - 2.6 TYPICAL STEADY
Number of quotation blocks 0.2 - 1.3 TYPICAL STEADY
Whether the post tells a story 50% of posts TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Percentage of sentences over 20 words 37% HIGH STEADY
Percentage of sentences under 8 words 20% LOW VARIES
Average number of clauses per sentence 1.7 - 2.9 TYPICAL STEADY
Average number of words per sentence 13 - 23 TYPICAL STEADY
Average words per sentence 13 - 23 TYPICAL STEADY
How much sentence length varies (normalized) 63% TYPICAL STEADY
How often paragraphs contain just one sentence 55% TYPICAL STEADY
Length of your longer sentences (80th percentile) 18 - 40 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 3 - 15 TYPICAL STEADY
Overall sentence complexity 22 - 63 TYPICAL STEADY
Parenthetical breaks per 1000 words 0-16 per 1k words TYPICAL VARIES
Typical sentence length (median) 9 - 22 TYPICAL STEADY
Variation in clause count across sentences 0.7 - 2.8 TYPICAL STEADY
Variation in sentence lengths 5 - 16 TYPICAL STEADY
Word count of shortest sentence 2 - 15 TYPICAL STEADY
Word count of the longest sentence 21 - 45 TYPICAL STEADY

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