Aker Systems's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 40 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 01 Dec 2025
Emoji count relative to sentence count
distinctive
10x more
Emoji usage in the middle section of the post
distinctive
16x more
Average character length of hashtags
consistent
2x more
Average word complexity (syllables per word)
consistent
1.2x more
Percentage of complex words (3+ syllables)
consistent
1.7x more
Percentage of lines containing at least one emoji
consistent
4x more

Does Less Of...

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

Whether the ending is a question
consistent
rarely
Use of 'you/your' in the hook
consistent
6x less
How easy the text is to read (higher = easier)
3x less
Percentage of words that are pronouns
2x less
Typical paragraph length (median)
consistent
1.6x less
Hook lines relative to total lines
1.5x less
Average sentences per paragraph
consistent
1.4x less
Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn't realize, but your posts use neutral or functional emoji 6 times more than the typical LinkedIn author - and you slip these emoji into the middle of your posts 16 times more often than average. In fact, for every sentence you write, you use 10 times more emoji than most people, turning what could be dry updates into streams of icon-laced code. That’s not a quirk - it’s practically a new dialect.

Why does this work? Your audience gets hit with dense, technical language (your average word complexity is 1.2x higher than most), but those well-placed emoji act as signposts, breaking up heavy text and signaling structure with almost surgical precision. Now try briefing a ghostwriter: "I need you to use short paragraphs, twice as many syllables per word, almost no pronouns, and fill the middle with neutral emoji - but don’t ask questions at the end." Good luck. This isn’t a style guide. It’s muscle memory.

You only post about once every five weeks, but when you do, every detail is loaded with subconscious choices your audience registers in a split-second. 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.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

20 Apr 2022 - 23 Jul 2025

0.2 posts/week avg
34/171 active weeks
137 inactive weeks

Deep Dive

Explore all 17 categories of writing style

Call-to-Action Patterns
7
Feature Your DNA vs Others Consistency
Average position of CTAs in the post Upper half HIGH STEADY
CTAs using command verbs (Click, Share, Comment, etc.) 19% HIGH VARIES
Whether CTAs include emoji 45% of posts HIGH VARIES
Whether CTAs include hashtags 18% of posts HIGH VARIES
CTAs phrased as questions vs statements 2% LOW VARIES
Whether CTAs are concentrated at the end of the post 5% TYPICAL VARIES
Whether any call-to-action exists 78% of posts TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average emoji per line of text 40% HIGH STEADY
Average number of emoji appearing together in clusters 65% HIGH VARIES
Balance between positive and negative emoji 16% HIGH VARIES
Count of neutral/functional emoji 0.4 - 5.0 HIGH STEADY
Count of positive/celebratory emoji 0.0 - 0.8 HIGH VARIES
Emoji count per 1000 words 0 - 40 HIGH VARIES
Emoji count relative to sentence count 95% HIGH VARIES
Emoji density in CTA sections 0 - 297 HIGH VARIES
Emoji density in the hook section 0 - 37 HIGH VARIES
Emoji usage in the middle section of the post 0 - 141 HIGH VARIES
Emoji used to replace words entirely 13% HIGH VARIES
How consistently emoji pair with specific words 1% HIGH VARIES
How often the same emoji repeats across the post 9% HIGH VARIES
Largest group of adjacent emoji 61% HIGH VARIES
Number of different emoji types used 0.0 - 3.0 HIGH VARIES
Number of emoji clusters (groups of adjacent emoji) 0.0 - 0.7 HIGH VARIES
Number of emoji in call-to-action lines 0.0 - 1.3 HIGH VARIES
Number of emoji in the opening hook 0.0 - 2.2 HIGH STEADY
Percentage of emoji that are 'corpspeak' type 10% HIGH VARIES
Percentage of emoji that are neutral/functional 84% HIGH STEADY
Percentage of emoji that are positive/celebratory 16% HIGH VARIES
Percentage of lines containing at least one emoji 34% HIGH STEADY
Percentage of lines that contain only emoji 2% HIGH VARIES
Proportion of emoji appearing in clusters 21% HIGH VARIES
Total count of repeated emoji across the post 0.0 - 1.5 HIGH VARIES
Total number of emoji in the post 0.0 - 3.9 HIGH VARIES
Variety of different emoji used (unique/total ratio) 50% HIGH STEADY
Whether any emoji are used in the post 57% of posts HIGH STEADY
Whether the post starts with an emoji 9% HIGH VARIES
Average distance between repeated emoji 4% LOW VARIES
Count of negative/warning emoji ~0.0 LOW STEADY
How consistently the same emoji is used for bullets 0% LOW STEADY
Number of bullet point lines using emoji as markers ~0.0 LOW STEADY
Percentage of emoji that are negative/warning 0% LOW STEADY
Proportion of emoji that appear multiple times 0% LOW STEADY
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
Formality & Tone
9
Feature Your DNA vs Others Consistency
Count of negative contractions used 0% LOW STEADY
Count of positive contractions used 2% LOW VARIES
Number of different contraction types 2% LOW VARIES
Percentage of words that are contractions 2% LOW VARIES
Ratio of negative to positive contractions balanced LOW STEADY
Total number of contractions 2% LOW VARIES
Usage of negative contractions (don't, won't, can't) 0% LOW STEADY
Usage of positive contractions (it's, I'm, we're) 2% LOW VARIES
Variety of different contractions used 2% LOW VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'and' per 1000 words 16 - 59 HIGH STEADY
Usage of 'as' per 1000 words 0-17 per 1k words HIGH VARIES
Usage of 'by' per 1000 words 0-15 per 1k words HIGH VARIES
Usage of 'which' per 1000 words 0-5 per 1k words HIGH VARIES
Usage of 'but' per 1000 words 0-1 per 1k words LOW VARIES
Usage of 'if' per 1000 words 0-2 per 1k words LOW VARIES
Usage of 'on' per 1000 words 0-11 per 1k words LOW VARIES
Usage of 'so' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'who' per 1000 words 0-5 per 1k words LOW VARIES
Overall grammatical word usage 134 - 261 TYPICAL STEADY
Usage of 'a' per 1000 words 0 - 42 TYPICAL VARIES
Usage of 'at' per 1000 words 0-13 per 1k words TYPICAL VARIES
Usage of 'because' per 1000 words 0-4 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0 - 23 TYPICAL VARIES
Usage of 'is' per 1000 words 0 - 27 TYPICAL VARIES
Usage of 'of' per 1000 words 5 - 35 TYPICAL STEADY
Usage of 'that' per 1000 words 0-14 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 0 - 57 TYPICAL VARIES
Usage of 'to' per 1000 words 6 - 58 TYPICAL STEADY
Usage of 'with' per 1000 words 0 - 21 TYPICAL VARIES
Variety of function words used 40% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 9 - 14 HIGH STEADY
Proportion of all-lowercase hashtags 49% HIGH STEADY
Proportion of hashtags in ALL CAPS 6% HIGH VARIES
Proportion of hashtags placed at the end 63% HIGH STEADY
Proportion of hashtags using CamelCase 44% HIGH VARIES
Proportion of hashtags woven into the text 32% HIGH VARIES
Ratio of inline hashtags to end hashtags 0 - 460 HIGH VARIES
Total number of hashtags 0.4 - 6.4 HIGH STEADY
Whether any hashtags are used 82% of posts HIGH STEADY
Proportion of hashtags in the opening 5% LOW VARIES
Whether the opening line contains a hashtag 12% LOW VARIES
Hashtag density per 100 words 0.1 - 9.2 TYPICAL STEADY
Opening Hooks
14
Feature Your DNA vs Others Consistency
Number of emoji in the hook 0.0 - 1.4 HIGH VARIES
Whether the hook contains emoji 25% of posts HIGH VARIES
Whether there's a blank line after the hook 40% HIGH VARIES
Whether there's a clear opening hook section 50% of posts HIGH VARIES
Hook lines relative to total lines 45% LOW STEADY
Negation words in the hook 0.0 - 0.3 LOW VARIES
Use of 'you/your' in the hook 0% LOW STEADY
Whether the hook contains a question 5% of posts LOW VARIES
Whether the hook starts with a conjunction 0% LOW STEADY
ALL CAPS words in the hook 2% TYPICAL VARIES
Character count of the hook 184 - 406 TYPICAL STEADY
Character position where the hook ends 184 - 406 TYPICAL STEADY
Hook length relative to total post 58% TYPICAL STEADY
Where LinkedIn's 'see more' cuts off 58% TYPICAL STEADY
Line Structure
18
Feature Your DNA vs Others Consistency
Average spacing between blank lines 1.2 - 3.3 HIGH STEADY
Blank lines per 100 total lines 23 - 43 HIGH STEADY
Lines containing exactly one sentence 84% HIGH STEADY
Percentage of very short lines (<5 words) 21% HIGH VARIES
Predictability of line length pattern Very consistent HIGH STEADY
Proportion of blank space 33% HIGH STEADY
Variation in block sizes 0.0 - 3.5 HIGH VARIES
Ratio of lines starting with numbers 0% LOW STEADY
Ratio of lines starting with punctuation 0% LOW STEADY
Ratio of lines starting with quotes 0% LOW STEADY
Average characters per line 72 - 151 TYPICAL STEADY
Average lines per text block 0.8 - 2.1 TYPICAL STEADY
Average words per line 10 - 23 TYPICAL STEADY
Number of visual text blocks 2.5 - 5.1 TYPICAL STEADY
Percentage of single-word lines 2% TYPICAL VARIES
Ratio of lines starting with ALL CAPS 2% TYPICAL VARIES
Spacing between content-rich lines 1.2 - 2.1 TYPICAL STEADY
Variation in line lengths 30 - 357 TYPICAL STEADY
List Patterns
15
Feature Your DNA vs Others Consistency
Average items per emoji list 50% HIGH VARIES
Number of emoji bullet list sections 0.0 - 0.5 HIGH VARIES
Variety of emoji used as bullets 4% HIGH VARIES
Whether emoji bullet lists are used 12% of posts HIGH VARIES
Average items per dash/bullet 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 numbered list sections ~0.0 LOW STEADY
Use of fraction-style numbering (1/, 2/) 0% LOW STEADY
Whether dash/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 STEADY
Whether any list structure is used 12% of posts TYPICAL VARIES
Vocabulary & Phrases
10
Feature Your DNA vs Others Consistency
How often three-word phrases repeat 0.0 - 4.9 HIGH VARIES
Length of longest repeated phrase 0.2 - 4.0 HIGH STEADY
Common idioms and expressions per 1000 words 0% LOW STEADY
Count of idiomatic expressions ~0.0 LOW STEADY
Count of words used only once 33 - 74 TYPICAL STEADY
How often two-word phrases repeat 0.0 - 9.9 TYPICAL VARIES
Number of unique words used 40 - 89 TYPICAL STEADY
Percentage of words used only once 85% TYPICAL STEADY
Ratio of meaningful words to grammatical words 5% TYPICAL VARIES
Unique words divided by total words 80% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with -ing verbs 0.0-0.7 per post HIGH VARIES
Count of sentences starting with subordinate clauses 0.0-0.5 per post HIGH VARIES
Count of sentences starting with time words 0.0-0.3 per post HIGH VARIES
Sentences starting with -ing verbs (%) 4% HIGH VARIES
Sentences starting with subordinate clauses (%) 4% HIGH VARIES
Sentences starting with time words (%) 1% HIGH VARIES
Count of sentences starting with There is/It is ~0.0 per post LOW STEADY
Count of sentences starting with adverbs ~0.0 per post LOW STEADY
Count of sentences starting with conjunctions ~0.0 per post LOW STEADY
Count of sentences starting with pronouns 0.0-1.1 per post LOW VARIES
Sentences starting with 'There is/are' or 'It is' (%) 0% LOW STEADY
Sentences starting with And, But, Or, So (%) 0% LOW STEADY
Sentences starting with adverbs (%) 0% LOW STEADY
Count of sentences starting with discourse markers ~0.0 per post TYPICAL STEADY
Sentences starting with Actually, Basically, etc. (%) 0% TYPICAL STEADY
Sentences starting with pronouns (I, You, We, They) (%) 0 - 38 TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Number of emoji in the closing 0.0 - 1.2 HIGH VARIES
Whether the closing has emoji clusters 5% HIGH VARIES
Whether the ending includes emoji 48% of posts HIGH VARIES
Whether the ending includes hashtags 75% of posts HIGH STEADY
Whether the ending is a question 0% LOW STEADY
ALL CAPS words in the closing 3% TYPICAL VARIES
Character length of the closing 124 - 402 TYPICAL STEADY
Closing length relative to total post 57% TYPICAL STEADY
Whether the closing has a signature phrase 18% of posts TYPICAL VARIES
Whether the ending has a call-to-action 25% of posts TYPICAL VARIES
Whether there's a clear closing section 75% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Opening paragraph length vs body average 1% HIGH STEADY
Consecutive long paragraphs 0% LOW STEADY
How much paragraph length varies 61% LOW VARIES
Typical paragraph length (median) 0.8 - 1.7 LOW STEADY
Average change in length between paragraphs 66% TYPICAL STEADY
Average sentences per paragraph 1.1 - 1.8 TYPICAL STEADY
Average sentences per paragraph 1.1 - 1.8 TYPICAL STEADY
Closing paragraph length vs body average 80% TYPICAL STEADY
Consecutive short paragraphs 1.9 - 4.5 TYPICAL STEADY
How frequently new paragraphs start 26 - 78 TYPICAL STEADY
Length of your longer paragraphs (80th percentile) 1.2 - 3.1 TYPICAL STEADY
Total number of paragraphs 2.5 - 5.0 TYPICAL STEADY
Variation in length changes between paragraphs 73% TYPICAL VARIES
Parts of Speech
9
Feature Your DNA vs Others Consistency
Percentage of auxiliary/helper verbs 3% LOW STEADY
Percentage of words that are adverbs 2% LOW VARIES
Percentage of words that are pronouns 4% LOW STEADY
Balance/distribution of different word types Fairly consistent TYPICAL STEADY
Percentage of words that are adjectives 8% TYPICAL STEADY
Percentage of words that are determiners 6% TYPICAL STEADY
Percentage of words that are nouns 16 - 32 TYPICAL STEADY
Percentage of words that are prepositions 8 - 14 TYPICAL STEADY
Percentage of words that are verbs 7 - 14 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Count of complex words (3+ syllables) 13 - 35 HIGH STEADY
Percentage of complex words (3+ syllables) 19 - 37 HIGH STEADY
How easy the text is to read (higher = easier) 0 - 46 LOW VARIES
Total sentence count 2.2 - 6.0 LOW STEADY
Average word complexity (syllables per word) 1.7 - 2.2 TYPICAL STEADY
Total syllables in the post 91 - 234 TYPICAL STEADY
Total word count of the post 49 - 118 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Parentheses usage per 1000 words 0-18 per 1k words HIGH VARIES
Semicolon usage per 1000 words 0-5 per 1k words HIGH VARIES
Colon usage per 1000 words 1-25 per 1k words LOW STEADY
Ellipsis (...) usage per 1000 words ~0 per 1k words LOW STEADY
Em dash (—) usage per 1000 words 0-3 per 1k words LOW VARIES
Exclamation marks per 1000 words 0-36 per 1k words LOW VARIES
Mixed punctuation clusters per 1000 words ~0 per 1k words LOW STEADY
Multiple exclamation marks per 1000 words ~0 per 1k words LOW STEADY
Multiple question marks per 1000 words ~0 per 1k words LOW STEADY
Percentage of sentences ending with a question 1% LOW VARIES
Percentage of sentences trailing off with ellipsis 0% LOW STEADY
Question marks per 1000 words 0-7 per 1k words LOW VARIES
Quotation mark usage per 1000 words 0-8 per 1k words LOW VARIES
Comma usage per 1000 words 9-89 per 1k words TYPICAL STEADY
En dash (–) usage per 1000 words 0-4 per 1k words TYPICAL VARIES
Hyphen usage per 1000 words 1-32 per 1k words TYPICAL STEADY
Percentage of sentences ending with exclamation 0 - 32 TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Average length of quoted passages 0 - 13 LOW VARIES
Lines starting with quotation marks 0% LOW STEADY
Number of quotation blocks 0.0 - 0.7 LOW VARIES
Presence of dialogue attribution patterns 0% LOW STEADY
Total characters in quoted content 0 - 13 LOW VARIES
Use of story transitions 5% LOW VARIES
Whether the post contains quotations 20% of posts LOW VARIES
Whether the post tells a story 22% of posts LOW VARIES
Lines using past tense 31% TYPICAL STEADY
Number of narrative/story signals 0.2 - 1.8 TYPICAL STEADY
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Average number of words per sentence 11 - 34 HIGH STEADY
Average words per sentence 11 - 34 HIGH STEADY
Length of your longer sentences (80th percentile) 20 - 49 HIGH STEADY
Length of your shorter sentences (20th percentile) 1 - 26 HIGH STEADY
Overall sentence complexity 10 - 120 HIGH STEADY
Parenthetical breaks per 1000 words 0-19 per 1k words HIGH VARIES
Percentage of sentences over 20 words 44% HIGH STEADY
Typical sentence length (median) 9 - 32 HIGH STEADY
Variation in sentence lengths 5 - 19 HIGH STEADY
Word count of shortest sentence 0 - 24 HIGH VARIES
Percentage of sentences under 8 words 18% LOW VARIES
Average number of clauses per sentence 1.8 - 3.4 TYPICAL STEADY
How much sentence length varies (normalized) 59% TYPICAL STEADY
How often paragraphs contain just one sentence 70% TYPICAL STEADY
Variation in clause count across sentences 0.0 - 4.2 TYPICAL VARIES
Word count of the longest sentence 23 - 52 TYPICAL STEADY

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