Marco Mueller's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 74 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 ↑ increasing
6x more
See example from 23 Oct 2025
Average character length of hashtags
consistent
3x more
Percentage of lines containing at least one emoji
↑ increasing
4x more
Proportion of hashtags woven into the text
7x more
Whether the opening line contains a hashtag
3x more
Whether any hashtags are used
consistent
2x more
See example from 12 Nov 2025
Ratio of inline hashtags to end hashtags
13x more

Does Less Of...

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

Ratio of lines starting with punctuation
consistent
rarely
Use of 'you/your' in the hook
consistent
2x less
Average sentences per paragraph
consistent
1.3x less
Average sentences per paragraph
consistent
1.3x less
How easy the text is to read (higher = easier)
consistent
1.3x less
Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn't realize, but you weave hashtags directly into your sentences 7x more than the average LinkedIn author. Not tacked on at the end - right there in the middle of the text, embedded like secret code. And it doesn’t stop there: your hashtags average three times the character length, and you’re three times more likely to kick off a post with a hashtag right up top.

It works because it signals you’re thinking in networks, not just statements - every hashtag is a bridge, pulling readers into your world before they know what hit them. Now try briefing this to a ghostwriter: “Hey, can you make sure my hashtags are 7x more integrated, 3x longer, and open most posts?” They’d laugh. This isn’t a style guide, it’s muscle memory you don’t even know you have.

With just 0.2 posts per week over the last 296 weeks, your voice is rare - but 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 (Apr 2020 - Dec 2025)

Recent 53 posts since Dec 2023
vs
Earlier 21 posts before Dec 2023
Emoji usage Increasing (5% → 15%)
More

Style patterns based on 74 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

14 Apr 2020 - 10 Dec 2025

0.2 posts/week avg
54/296 active weeks
242 inactive weeks

Deep Dive

Explore all 17 categories of writing style

Call-to-Action Patterns
7
Feature Your DNA vs Others Consistency
CTAs using command verbs (Click, Share, Comment, etc.) 24% HIGH VARIES
CTAs phrased as questions vs statements 2% LOW VARIES
Average position of CTAs in the post Upper half TYPICAL VARIES
Whether CTAs are concentrated at the end of the post 4% TYPICAL VARIES
Whether CTAs include emoji 5% of posts TYPICAL VARIES
Whether CTAs include hashtags 12% of posts TYPICAL VARIES
Whether any call-to-action exists 53% of posts TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average emoji per line of text 34% HIGH STEADY
Balance between positive and negative emoji 11% HIGH VARIES
Count of neutral/functional emoji 0.4 - 2.1 HIGH STEADY
Emoji count relative to sentence count 27% HIGH STEADY
Emoji density in CTA sections 0 - 46 HIGH VARIES
Emoji density in the hook section 2 - 23 HIGH STEADY
Emoji usage in the middle section of the post 0 - 70 HIGH VARIES
Emoji used to replace words entirely 15% HIGH VARIES
How often the same emoji repeats across the post 7% HIGH VARIES
Number of emoji in call-to-action lines 0.0 - 1.4 HIGH VARIES
Number of emoji in the opening hook 0.1 - 1.4 HIGH STEADY
Percentage of emoji that are neutral/functional 89% HIGH STEADY
Percentage of emoji that are positive/celebratory 11% HIGH VARIES
Percentage of lines containing at least one emoji 34% HIGH STEADY
Total count of repeated emoji across the post 0.0 - 0.9 HIGH VARIES
Whether the post starts with an emoji 11% HIGH VARIES
Average distance between repeated emoji 0% LOW STEADY
Average number of emoji appearing together in clusters 0% LOW STEADY
Count of negative/warning emoji ~0.0 LOW STEADY
Emoji count per 1000 words 2% LOW VARIES
How consistently emoji pair with specific words 0% LOW STEADY
How consistently the same emoji is used for bullets 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 different emoji types used 0.0 - 0.5 LOW VARIES
Number of emoji clusters (groups of adjacent emoji) ~0.0 LOW STEADY
Percentage of emoji that are 'corpspeak' type 0% LOW STEADY
Percentage of emoji that are negative/warning 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 number of emoji in the post 0.0 - 0.7 LOW VARIES
Variety of different emoji used (unique/total ratio) 11% LOW VARIES
Variety of different emoji used as bullets 0% LOW STEADY
Whether any emoji are used in the post 12% of posts LOW VARIES
Whether emoji are used as bullet point markers 0% LOW STEADY
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Count of positive/celebratory emoji 0.0 - 0.4 TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Count of negative contractions used 1% LOW VARIES
Number of different contraction types 38% LOW VARIES
Ratio of negative to positive contractions 1:71 LOW VARIES
Total number of contractions 40% LOW VARIES
Usage of negative contractions (don't, won't, can't) 1% LOW VARIES
Count of positive contractions used 39% TYPICAL VARIES
Percentage of words that are contractions 65% TYPICAL VARIES
Usage of positive contractions (it's, I'm, we're) 64% TYPICAL VARIES
Variety of different contractions used 22% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'and' per 1000 words 17 - 57 HIGH STEADY
Usage of 'at' per 1000 words 0 - 23 HIGH VARIES
Usage of 'because' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'but' per 1000 words 0-3 per 1k words LOW VARIES
Usage of 'if' per 1000 words 0-3 per 1k words LOW VARIES
Usage of 'who' per 1000 words 0-6 per 1k words LOW VARIES
Overall grammatical word usage 162 - 261 TYPICAL STEADY
Usage of 'a' per 1000 words 0 - 29 TYPICAL VARIES
Usage of 'as' per 1000 words 0-13 per 1k words TYPICAL VARIES
Usage of 'by' per 1000 words 0-8 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0 - 29 TYPICAL STEADY
Usage of 'is' per 1000 words 0 - 29 TYPICAL VARIES
Usage of 'of' per 1000 words 0 - 32 TYPICAL VARIES
Usage of 'on' per 1000 words 0-20 per 1k words TYPICAL VARIES
Usage of 'so' per 1000 words 0-7 per 1k words TYPICAL VARIES
Usage of 'that' per 1000 words 0-14 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 16 - 59 TYPICAL STEADY
Usage of 'to' per 1000 words 16 - 62 TYPICAL STEADY
Usage of 'which' per 1000 words 0-2 per 1k words TYPICAL VARIES
Usage of 'with' per 1000 words 0-19 per 1k words 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 - 16 HIGH STEADY
Proportion of hashtags in ALL CAPS 16% HIGH VARIES
Proportion of hashtags in the opening 43% HIGH STEADY
Proportion of hashtags using CamelCase 54% HIGH STEADY
Proportion of hashtags woven into the text 29% HIGH VARIES
Ratio of inline hashtags to end hashtags 0 - 717 HIGH VARIES
Whether any hashtags are used 89% of posts HIGH STEADY
Whether the opening line contains a hashtag 67% HIGH STEADY
Hashtag density per 100 words 0.4 - 5.8 TYPICAL STEADY
Proportion of all-lowercase hashtags 30% TYPICAL VARIES
Proportion of hashtags placed at the end 28% TYPICAL VARIES
Total number of hashtags 0.3 - 3.8 TYPICAL STEADY
Opening Hooks
14
Feature Your DNA vs Others Consistency
Whether there's a blank line after the hook 43% HIGH VARIES
Negation words in the hook 0.0 - 0.3 LOW VARIES
Number of emoji in the hook 0.0 - 0.3 LOW VARIES
Use of 'you/your' in the hook 1% LOW STEADY
Whether the hook contains a question 4% of posts LOW VARIES
Whether the hook contains emoji 7% 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 192 - 382 TYPICAL STEADY
Character position where the hook ends 192 - 382 TYPICAL STEADY
Hook length relative to total post 68% TYPICAL STEADY
Hook lines relative to total lines 60% TYPICAL STEADY
Where LinkedIn's 'see more' cuts off 68% TYPICAL STEADY
Whether there's a clear opening hook section 23% of posts TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Average spacing between blank lines 0.8 - 2.5 HIGH STEADY
Blank lines per 100 total lines 22 - 50 HIGH STEADY
Percentage of single-word lines 2% HIGH VARIES
Proportion of blank space 36% HIGH STEADY
Ratio of lines starting with ALL CAPS 4% HIGH VARIES
Spacing between content-rich lines 1.2 - 2.3 HIGH STEADY
Percentage of very short lines (<5 words) 7% LOW VARIES
Ratio of lines starting with numbers 1% LOW STEADY
Ratio of lines starting with punctuation 0% LOW STEADY
Ratio of lines starting with quotes 0% LOW STEADY
Variation in block sizes 14% LOW VARIES
Variation in line lengths 0 - 279 LOW VARIES
Average characters per line 64 - 204 TYPICAL STEADY
Average lines per text block 0.6 - 1.7 TYPICAL STEADY
Average words per line 10 - 33 TYPICAL STEADY
Lines containing exactly one sentence 67% TYPICAL STEADY
Number of visual text blocks 2.1 - 4.9 TYPICAL STEADY
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 4% LOW VARIES
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 - 0.1 LOW VARIES
Number of numbered list sections ~0.0 LOW STEADY
Use of fraction-style numbering (1/, 2/) 0% LOW STEADY
Use of inline enumeration 0% LOW STEADY
Variety of emoji used as bullets 0% LOW STEADY
Whether any list structure is used 1% of posts LOW VARIES
Whether dash/bullet lists are used 0% of posts LOW STEADY
Whether emoji bullet lists are used 1% of posts LOW VARIES
Whether numbered lists are used 0% of posts LOW STEADY
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
How often three-word phrases repeat 38% LOW VARIES
Count of words used only once 32 - 70 TYPICAL STEADY
How often two-word phrases repeat 0.0 - 6.2 TYPICAL VARIES
Length of longest repeated phrase 0.0 - 2.3 TYPICAL VARIES
Number of unique words used 36 - 84 TYPICAL STEADY
Percentage of words used only once 86% 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 0.0-0.6 per post HIGH VARIES
Count of sentences starting with discourse markers 0.0-0.2 per post HIGH VARIES
Count of sentences starting with pronouns 0.4-2.8 per post HIGH STEADY
Count of sentences starting with subordinate clauses 0.0-0.5 per post HIGH VARIES
Count of sentences starting with time words 0.0-0.5 per post HIGH VARIES
Sentences starting with 'There is/are' or 'It is' (%) 3% HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 73% HIGH VARIES
Sentences starting with pronouns (I, You, We, They) (%) 11 - 56 HIGH STEADY
Sentences starting with subordinate clauses (%) 2% HIGH VARIES
Sentences starting with time words (%) 2% HIGH VARIES
Count of sentences starting with -ing verbs 0.0-0.4 per post TYPICAL VARIES
Count of sentences starting with adverbs 0.0-0.5 per post TYPICAL VARIES
Count of sentences starting with conjunctions 0.0-0.3 per post TYPICAL VARIES
Sentences starting with -ing verbs (%) 2% TYPICAL VARIES
Sentences starting with And, But, Or, So (%) 99% TYPICAL VARIES
Sentences starting with adverbs (%) 2% TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Whether the closing has a signature phrase 27% of posts HIGH VARIES
Whether the ending has a call-to-action 57% of posts HIGH STEADY
Whether the ending includes hashtags 73% of posts HIGH STEADY
Number of emoji in the closing 0.0 - 0.5 LOW VARIES
Whether the closing has emoji clusters 0% LOW STEADY
Whether the ending is a question 4% LOW VARIES
ALL CAPS words in the closing 2% TYPICAL VARIES
Character length of the closing 181 - 543 TYPICAL STEADY
Closing length relative to total post 78% TYPICAL STEADY
Whether the ending includes emoji 11% of posts TYPICAL VARIES
Whether there's a clear closing section 92% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Closing paragraph length vs body average 1% HIGH STEADY
Consecutive long paragraphs 3% LOW VARIES
How much paragraph length varies 46% LOW VARIES
Variation in length changes between paragraphs 18% LOW VARIES
Average change in length between paragraphs 62% TYPICAL VARIES
Average sentences per paragraph 0.8 - 2.3 TYPICAL STEADY
Average sentences per paragraph 0.8 - 2.3 TYPICAL STEADY
Consecutive short paragraphs 1.7 - 4.9 TYPICAL STEADY
How frequently new paragraphs start 26 - 82 TYPICAL STEADY
Length of your longer paragraphs (80th percentile) 1.0 - 2.9 TYPICAL STEADY
Opening paragraph length vs body average 1% TYPICAL STEADY
Total number of paragraphs 2.2 - 5.0 TYPICAL STEADY
Typical paragraph length (median) 0.6 - 2.4 TYPICAL STEADY
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 5% TYPICAL STEADY
Percentage of words that are adjectives 9% TYPICAL STEADY
Percentage of words that are adverbs 3% TYPICAL STEADY
Percentage of words that are determiners 7% TYPICAL STEADY
Percentage of words that are nouns 17 - 27 TYPICAL STEADY
Percentage of words that are prepositions 8 - 14 TYPICAL STEADY
Percentage of words that are pronouns 9% TYPICAL STEADY
Percentage of words that are verbs 9 - 16 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Average word complexity (syllables per word) 1.6 - 1.9 TYPICAL STEADY
Count of complex words (3+ syllables) 8 - 25 TYPICAL STEADY
How easy the text is to read (higher = easier) 28 - 58 TYPICAL STEADY
Percentage of complex words (3+ syllables) 15 - 28 TYPICAL STEADY
Total sentence count 3.2 - 6.5 TYPICAL STEADY
Total syllables in the post 68 - 198 TYPICAL STEADY
Total word count of the post 39 - 114 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
En dash (–) usage per 1000 words 0-8 per 1k words HIGH VARIES
Semicolon usage per 1000 words 0-4 per 1k words HIGH VARIES
Colon usage per 1000 words 0-28 per 1k words LOW VARIES
Ellipsis (...) usage per 1000 words 0-5 per 1k words LOW VARIES
Em dash (—) usage per 1000 words 0-2 per 1k words LOW VARIES
Exclamation marks per 1000 words 0-30 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
Parentheses usage per 1000 words 0-5 per 1k words LOW VARIES
Percentage of sentences ending with a question 99% LOW VARIES
Question marks per 1000 words 0-5 per 1k words LOW VARIES
Quotation mark usage per 1000 words 0-4 per 1k words LOW VARIES
Comma usage per 1000 words 6-66 per 1k words TYPICAL STEADY
Hyphen usage per 1000 words 0-28 per 1k words TYPICAL VARIES
Percentage of sentences ending with exclamation 0 - 36 TYPICAL VARIES
Percentage of sentences trailing off with ellipsis 1% TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Average length of quoted passages 0 - 60 LOW VARIES
Lines starting with quotation marks 0% LOW STEADY
Number of quotation blocks 0.0 - 0.9 LOW VARIES
Presence of dialogue attribution patterns 0% LOW STEADY
Total characters in quoted content 0 - 60 LOW VARIES
Lines using past tense 41% TYPICAL STEADY
Number of narrative/story signals 0.3 - 2.1 TYPICAL STEADY
Use of story transitions 9% TYPICAL VARIES
Whether the post contains quotations 30% of posts TYPICAL VARIES
Whether the post tells a story 38% of posts TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Parenthetical breaks per 1000 words 0-5 per 1k words LOW VARIES
Percentage of sentences under 8 words 20% LOW STEADY
Average number of clauses per sentence 1.5 - 2.8 TYPICAL STEADY
Average number of words per sentence 10 - 23 TYPICAL STEADY
Average words per sentence 10 - 23 TYPICAL STEADY
How much sentence length varies (normalized) 53% TYPICAL STEADY
How often paragraphs contain just one sentence 65% TYPICAL STEADY
Length of your longer sentences (80th percentile) 14 - 36 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 4 - 15 TYPICAL STEADY
Overall sentence complexity 11 - 66 TYPICAL STEADY
Percentage of sentences over 20 words 29% TYPICAL STEADY
Typical sentence length (median) 9 - 22 TYPICAL STEADY
Variation in clause count across sentences 0.0 - 2.8 TYPICAL VARIES
Variation in sentence lengths 4 - 13 TYPICAL STEADY
Word count of shortest sentence 2 - 12 TYPICAL STEADY
Word count of the longest sentence 15 - 39 TYPICAL STEADY

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