Claire Harrison's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 31 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 02 Dec 2025
Number of emoji in call-to-action lines
↑ increasing
6x more
Percentage of lines containing at least one emoji
↑ increasing
4x more
Count of sentences starting with conjunctions
10x more
See example from 18 Nov 2025
Count of neutral/functional emoji
↑ increasing
5x more
Count of sentences starting with pronouns
4x more
See example from 02 Dec 2025
Count of sentences starting with time words
11x more
See example from 05 Sep 2025

Does Less Of...

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

Whether CTAs include hashtags
consistent
rarely
CTAs using command verbs (Click, Share, Comment, etc.)
consistent
20x less
Typical paragraph length (median)
consistent
1.5x less
Average sentences per paragraph
consistent
1.4x less
Average sentences per paragraph
consistent
1.4x less
Length of your longer paragraphs (80th percentile)
consistent
1.4x less
Hook length relative to total post
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 pack 6 times more neutral or functional emoji into your call-to-action lines than the average LinkedIn poster. In fact, a full 4x more of your lines have at least one emoji - and your use of neutral emoji specifically is 5x the norm. You’ve turned the humble emoji into a signature flourish, quietly punctuating your posts with signals most people wouldn’t even notice.

It works because, for your readers, those emoji don’t shout - they clarify. You’re using them as subtle signposts, not as emotional fireworks. Now imagine trying to brief a ghostwriter: “Add 6x more neutral emoji, but only in the CTA, and make sure almost every line gets one.” They’d think you’d lost the plot. This isn’t a conscious tactic or a bullet point on a brand guide. It’s muscle memory, not method.

And you do all this while posting less than once a week - 0.1 times, to be exact. This is what Drumbeat captures: the unspoken patterns that make your writing unmistakably yours, turning subconscious habits into scalable, authentic influence.

Style Evolution

How your writing has changed (Sep 2017 - Nov 2025)

Recent 17 posts since Dec 2023
vs
Earlier 14 posts before Dec 2023
Hashtag usage Declining (36% → 18%)
Less
Emoji usage Increasing (14% → 53%)
More

Style patterns based on 31 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

15 Sep 2017 - 18 Nov 2025

0.1 posts/week avg
29/428 active weeks
399 inactive weeks

Deep Dive

Explore all 17 categories of writing style

Call-to-Action Patterns
7
Feature Your DNA vs Others Consistency
CTAs phrased as questions vs statements 15% HIGH VARIES
Whether CTAs are concentrated at the end of the post 10% HIGH VARIES
Whether CTAs include emoji 19% of posts HIGH VARIES
CTAs using command verbs (Click, Share, Comment, etc.) 0% LOW STEADY
Whether CTAs include hashtags 0% of posts LOW STEADY
Average position of CTAs in the post Upper half TYPICAL VARIES
Whether any call-to-action exists 58% of posts TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average emoji per line of text 39% HIGH STEADY
Balance between positive and negative emoji 18% HIGH VARIES
Count of neutral/functional emoji 0.0 - 5.0 HIGH VARIES
Count of positive/celebratory emoji 0.0 - 0.8 HIGH VARIES
Emoji count relative to sentence count 47% HIGH VARIES
Emoji density in CTA sections 5 - 62 HIGH STEADY
Emoji usage in the middle section of the post 0 - 35 HIGH VARIES
Emoji used to replace words entirely 18% HIGH VARIES
How consistently emoji pair with specific words 1% HIGH VARIES
How often the same emoji repeats across the post 13% HIGH VARIES
Number of different emoji types used 0.0 - 2.4 HIGH VARIES
Number of emoji in call-to-action lines 0.0 - 2.0 HIGH STEADY
Number of emoji in the opening hook 0.0 - 1.6 HIGH VARIES
Percentage of emoji that are neutral/functional 82% HIGH STEADY
Percentage of emoji that are positive/celebratory 18% HIGH VARIES
Percentage of lines containing at least one emoji 35% HIGH STEADY
Total count of repeated emoji across the post 0.0 - 1.9 HIGH VARIES
Total number of emoji in the post 0.0 - 3.3 HIGH VARIES
Variety of different emoji used (unique/total ratio) 36% HIGH VARIES
Whether any emoji are used in the post 42% of posts HIGH VARIES
Whether the post starts with an emoji 8% HIGH VARIES
Average number of emoji appearing together in clusters 0% LOW STEADY
Count of negative/warning emoji ~0.0 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 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
Variety of different emoji used as bullets 0% LOW STEADY
Whether emoji are used as bullet point markers 0% LOW STEADY
Average distance between repeated emoji 10% TYPICAL VARIES
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Emoji count per 1000 words 7% TYPICAL VARIES
Emoji density in the hook section 7% TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Count of negative contractions used 42% HIGH VARIES
Count of positive contractions used 0.0 - 3.6 HIGH VARIES
Number of different contraction types 0.0 - 4.0 HIGH VARIES
Total number of contractions 0.0 - 5.0 HIGH VARIES
Ratio of negative to positive contractions 1:10 LOW VARIES
Percentage of words that are contractions 77% TYPICAL VARIES
Usage of negative contractions (don't, won't, can't) 19% TYPICAL VARIES
Usage of positive contractions (it's, I'm, we're) 58% TYPICAL VARIES
Variety of different contractions used 26% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'at' per 1000 words 0-32 per 1k words HIGH VARIES
Usage of 'but' per 1000 words 0-9 per 1k words HIGH VARIES
Usage of 'that' per 1000 words 0 - 24 HIGH VARIES
Usage of 'which' per 1000 words 0-5 per 1k words HIGH VARIES
Usage of 'on' per 1000 words 0-11 per 1k words LOW VARIES
Usage of 'so' per 1000 words 0-4 per 1k words LOW VARIES
Usage of 'who' per 1000 words 0-4 per 1k words LOW VARIES
Overall grammatical word usage 142 - 286 TYPICAL STEADY
Usage of 'a' per 1000 words 0 - 53 TYPICAL VARIES
Usage of 'and' per 1000 words 4 - 39 TYPICAL STEADY
Usage of 'as' per 1000 words 0-15 per 1k words TYPICAL VARIES
Usage of 'because' per 1000 words 0-3 per 1k words TYPICAL VARIES
Usage of 'by' per 1000 words 0-9 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0 - 31 TYPICAL VARIES
Usage of 'if' per 1000 words 0-7 per 1k words TYPICAL VARIES
Usage of 'is' per 1000 words 0 - 36 TYPICAL VARIES
Usage of 'of' per 1000 words 0 - 44 TYPICAL VARIES
Usage of 'the' per 1000 words 12 - 56 TYPICAL STEADY
Usage of 'to' per 1000 words 9 - 57 TYPICAL STEADY
Usage of 'with' per 1000 words 0-23 per 1k words TYPICAL VARIES
Variety of function words used 48% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 8 - 13 HIGH STEADY
Proportion of all-lowercase hashtags 71% HIGH STEADY
Proportion of hashtags placed at the end 100% HIGH STEADY
Proportion of hashtags using CamelCase 27% HIGH VARIES
Hashtag density per 100 words 0.0 - 3.4 LOW VARIES
Proportion of hashtags in ALL CAPS 2% LOW VARIES
Proportion of hashtags in the opening 0% LOW STEADY
Proportion of hashtags woven into the text 0% LOW STEADY
Ratio of inline hashtags to end hashtags 0% LOW STEADY
Total number of hashtags 0.0 - 2.9 LOW VARIES
Whether any hashtags are used 26% of posts LOW VARIES
Whether the opening line contains a hashtag 0% LOW STEADY
Opening Hooks
14
Feature Your DNA vs Others Consistency
Whether there's a blank line after the hook 52% HIGH STEADY
Whether there's a clear opening hook section 48% of posts HIGH VARIES
Use of 'you/your' in the hook 1% LOW STEADY
Whether the hook contains a question 10% 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 130 - 356 TYPICAL STEADY
Character position where the hook ends 130 - 356 TYPICAL STEADY
Hook length relative to total post 58% TYPICAL STEADY
Hook lines relative to total lines 54% TYPICAL STEADY
Negation words in the hook 0.0 - 0.5 TYPICAL VARIES
Number of emoji in the hook 0.0 - 0.7 TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 58% TYPICAL STEADY
Whether the hook contains emoji 16% of posts TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Blank lines per 100 total lines 14 - 51 HIGH STEADY
Proportion of blank space 33% HIGH STEADY
Percentage of single-word lines 0% LOW STEADY
Percentage of very short lines (<5 words) 8% LOW VARIES
Ratio of lines starting with numbers 0% LOW STEADY
Ratio of lines starting with quotes 0% LOW STEADY
Variation in block sizes 20% LOW VARIES
Average characters per line 69 - 167 TYPICAL STEADY
Average lines per text block 0.9 - 1.3 TYPICAL STEADY
Average spacing between blank lines 0.5 - 2.5 TYPICAL STEADY
Average words per line 12 - 29 TYPICAL STEADY
Lines containing exactly one sentence 72% TYPICAL STEADY
Number of visual text blocks 1.0 - 9.7 TYPICAL STEADY
Predictability of line length pattern Very consistent TYPICAL STEADY
Ratio of lines starting with ALL CAPS 2% TYPICAL VARIES
Ratio of lines starting with punctuation 2% TYPICAL VARIES
Spacing between content-rich lines 0.7 - 2.3 TYPICAL STEADY
Variation in line lengths 16 - 290 TYPICAL STEADY
List Patterns
15
Feature Your DNA vs Others Consistency
Average items per emoji list 42% HIGH VARIES
Number of emoji bullet list sections 0.0 - 0.5 HIGH VARIES
Use of inline enumeration 3% HIGH VARIES
Variety of emoji used as bullets 4% HIGH VARIES
Whether emoji bullet lists are used 13% 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
Whether any list structure is used 13% of posts TYPICAL VARIES
Vocabulary & Phrases
10
Feature Your DNA vs Others Consistency
Common idioms and expressions per 1000 words 23% HIGH VARIES
Count of idiomatic expressions 0.0 - 0.3 HIGH VARIES
Count of words used only once 19 - 114 TYPICAL STEADY
How often three-word phrases repeat 73% TYPICAL VARIES
How often two-word phrases repeat 0.1 - 8.4 TYPICAL STEADY
Length of longest repeated phrase 0.2 - 3.4 TYPICAL STEADY
Number of unique words used 22 - 148 TYPICAL STEADY
Percentage of words used only once 82% TYPICAL STEADY
Ratio of meaningful words to grammatical words 4% TYPICAL STEADY
Unique words divided by total words 77% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with adverbs 0.0-1.5 per post HIGH VARIES
Count of sentences starting with conjunctions 0.0-1.7 per post HIGH VARIES
Count of sentences starting with discourse markers 0.0-0.6 per post HIGH VARIES
Count of sentences starting with pronouns 0.0-4.7 per post HIGH VARIES
Count of sentences starting with subordinate clauses 0.0-1.4 per post HIGH VARIES
Count of sentences starting with time words 0.0-1.0 per post HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 2% HIGH VARIES
Sentences starting with And, But, Or, So (%) 8% HIGH VARIES
Sentences starting with adverbs (%) 5% HIGH VARIES
Sentences starting with pronouns (I, You, We, They) (%) 1 - 59 HIGH STEADY
Sentences starting with subordinate clauses (%) 7% HIGH VARIES
Sentences starting with time words (%) 4% HIGH VARIES
Sentences starting with -ing verbs (%) 1% LOW VARIES
Count of sentences starting with -ing verbs 0.0-0.3 per post TYPICAL VARIES
Count of sentences starting with There is/It is 0.0-0.2 per post TYPICAL VARIES
Sentences starting with 'There is/are' or 'It is' (%) 40% TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Number of emoji in the closing 0.0 - 1.8 HIGH VARIES
Whether the ending includes emoji 36% of posts HIGH VARIES
Whether the ending is a question 32% HIGH VARIES
ALL CAPS words in the closing 2% LOW VARIES
Whether the ending has a call-to-action 16% of posts LOW VARIES
Whether the ending includes hashtags 26% of posts LOW VARIES
Character length of the closing 103 - 469 TYPICAL STEADY
Closing length relative to total post 64% TYPICAL STEADY
Whether the closing has a signature phrase 13% of posts TYPICAL VARIES
Whether the closing has emoji clusters 3% TYPICAL VARIES
Whether there's a clear closing section 77% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Closing paragraph length vs body average 84% HIGH STEADY
Consecutive long paragraphs 3% LOW VARIES
How much paragraph length varies 55% LOW VARIES
Variation in length changes between paragraphs 47% LOW VARIES
Average change in length between paragraphs 67% TYPICAL STEADY
Average sentences per paragraph 1.0 - 1.9 TYPICAL STEADY
Average sentences per paragraph 1.0 - 1.9 TYPICAL STEADY
Consecutive short paragraphs 1.5 - 5.6 TYPICAL STEADY
How frequently new paragraphs start 17 - 97 TYPICAL STEADY
Length of your longer paragraphs (80th percentile) 1.0 - 2.7 TYPICAL STEADY
Opening paragraph length vs body average 97% TYPICAL STEADY
Total number of paragraphs 1.1 - 9.7 TYPICAL STEADY
Typical paragraph length (median) 0.8 - 1.8 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 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 8% TYPICAL STEADY
Percentage of words that are nouns 13 - 28 TYPICAL STEADY
Percentage of words that are prepositions 7 - 15 TYPICAL STEADY
Percentage of words that are pronouns 6 - 15 TYPICAL STEADY
Percentage of words that are verbs 0 - 32 TYPICAL VARIES
Post Basics
7
Feature Your DNA vs Others Consistency
Average word complexity (syllables per word) 1.4 - 1.7 TYPICAL STEADY
Count of complex words (3+ syllables) 1 - 36 TYPICAL STEADY
How easy the text is to read (higher = easier) 39 - 74 TYPICAL STEADY
Percentage of complex words (3+ syllables) 9 - 20 TYPICAL STEADY
Total sentence count 0 - 16 TYPICAL VARIES
Total syllables in the post 32 - 355 TYPICAL STEADY
Total word count of the post 23 - 226 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Parentheses usage per 1000 words 0-19 per 1k words HIGH VARIES
Percentage of sentences ending with a question 9% HIGH VARIES
Colon usage per 1000 words 0-49 per 1k words LOW VARIES
Ellipsis (...) usage per 1000 words 0-3 per 1k words LOW VARIES
Em dash (—) usage per 1000 words ~0 per 1k words LOW STEADY
En dash (–) usage per 1000 words 0-1 per 1k words LOW VARIES
Exclamation marks per 1000 words 0-31 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
Quotation mark usage per 1000 words 0-6 per 1k words LOW VARIES
Comma usage per 1000 words 14-54 per 1k words TYPICAL STEADY
Hyphen usage per 1000 words 0-31 per 1k words TYPICAL VARIES
Percentage of sentences ending with exclamation 0 - 50 TYPICAL VARIES
Percentage of sentences trailing off with ellipsis 1% TYPICAL VARIES
Question marks per 1000 words 0-19 per 1k words TYPICAL VARIES
Semicolon usage per 1000 words 0-2 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Number of quotation blocks 0.0 - 2.9 HIGH VARIES
Total characters in quoted content 0 - 245 HIGH VARIES
Lines starting with quotation marks 0% LOW STEADY
Presence of dialogue attribution patterns 0% LOW STEADY
Average length of quoted passages 0 - 89 TYPICAL VARIES
Lines using past tense 45% TYPICAL STEADY
Number of narrative/story signals 0.4 - 2.5 TYPICAL STEADY
Use of story transitions 11% TYPICAL VARIES
Whether the post contains quotations 39% of posts TYPICAL VARIES
Whether the post tells a story 45% of posts TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Overall sentence complexity 0 - 141 HIGH VARIES
Percentage of sentences over 20 words 35% HIGH STEADY
Variation in clause count across sentences 0.0 - 8.9 HIGH VARIES
Average number of clauses per sentence 1.3 - 3.6 TYPICAL STEADY
Average number of words per sentence 8 - 32 TYPICAL STEADY
Average words per sentence 8 - 32 TYPICAL STEADY
How much sentence length varies (normalized) 52% TYPICAL STEADY
How often paragraphs contain just one sentence 70% TYPICAL STEADY
Length of your longer sentences (80th percentile) 2 - 58 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 4 - 16 TYPICAL STEADY
Parenthetical breaks per 1000 words 0-19 per 1k words TYPICAL VARIES
Percentage of sentences under 8 words 22% TYPICAL VARIES
Typical sentence length (median) 8 - 28 TYPICAL STEADY
Variation in sentence lengths 0 - 26 TYPICAL VARIES
Word count of shortest sentence 3 - 14 TYPICAL STEADY
Word count of the longest sentence 8 - 64 TYPICAL STEADY

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