Hannah Smith's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 11 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 positive/celebratory
signature
21x more
See example from 01 Sep 2025
Balance between positive and negative emoji
signature
23x more
Count of positive/celebratory emoji
signature
17x more
Percentage of lines containing at least one emoji
signature
8x more
Number of emoji in call-to-action lines
signature
6x more
Average emoji per line of text
signature
7x more
Number of emoji in the opening hook
consistent
6x more

Does Less Of...

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

Percentage of emoji that are neutral/functional
consistent
rarely
Whether CTAs include hashtags
consistent
rarely
Whether any list structure is used
consistent
rarely
Count of neutral/functional emoji
consistent
rarely
Whether CTAs include emoji
consistent
rarely
Proportion of hashtags in ALL CAPS
consistent
rarely
Count of sentences starting with -ing verbs
consistent
rarely
Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn't realize, but your posts contain 21 times more positive or celebratory emoji than the average LinkedIn user. Even more wild: 23 times the balance between positive and negative emoji. Your feed doesn't just lean optimistic - it radiates digital confetti, every single time.

That relentless positivity isn't just noise. It signals to your readers that you aren’t hedging or holding back - your tone is unmistakably upbeat, always. Now try briefing this to a ghostwriter. Tell them to inject 17x more smiley faces or balloon emojis, but only in ways that feel authentic, and to maintain that 23x positivity ratio. They’d think you were joking. This isn’t a checklist - it’s muscle memory. You couldn’t consciously replicate it if you tried.

And here's the kicker: you post less than once a week, yet every appearance is unmistakably yours. 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 (Jan 2022 - Sep 2025)

Recent 5 posts since Dec 2023
vs
Earlier 6 posts before Dec 2023
Opening hashtags Started recently (20% in last 2 years, was 0% before)
New

Style patterns based on 11 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

18 Jan 2022 - 01 Sep 2025

0.1 posts/week avg
11/190 active weeks
179 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 23% HIGH VARIES
Whether CTAs are concentrated at the end of the post 0% LOW STEADY
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 STEADY
CTAs using command verbs (Click, Share, Comment, etc.) 14% TYPICAL VARIES
Whether any call-to-action exists 82% of posts TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average distance between repeated emoji 50% HIGH VARIES
Average emoji per line of text 75% HIGH STEADY
Balance between positive and negative emoji 100% HIGH STEADY
Count of positive/celebratory emoji 0.6 - 3.4 HIGH STEADY
Emoji count relative to sentence count 40% HIGH STEADY
Emoji density in CTA sections 17 - 70 HIGH STEADY
Emoji density in the hook section 22 - 70 HIGH STEADY
How often the same emoji repeats across the post 16% HIGH VARIES
Number of emoji in call-to-action lines ~1.0 HIGH STEADY
Number of emoji in the opening hook 0.8 - 2.2 HIGH STEADY
Percentage of emoji that are positive/celebratory 100% HIGH STEADY
Percentage of lines containing at least one emoji 66% HIGH STEADY
Total count of repeated emoji across the post 0.0 - 1.2 HIGH VARIES
Whether the post starts with an emoji 50% HIGH VARIES
Average number of emoji appearing together in clusters 0% LOW STEADY
Count of negative/warning emoji ~0.0 LOW STEADY
Count of neutral/functional emoji ~0.0 LOW STEADY
Emoji usage in the middle section of the post 0% LOW STEADY
Emoji used to replace words entirely 0% LOW STEADY
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 - 0.9 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 emoji that are neutral/functional 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 - 1.3 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 count per 1000 words 8% TYPICAL VARIES
Variety of different emoji used (unique/total ratio) 15% TYPICAL VARIES
Whether any emoji are used in the post 18% of posts TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Number of different contraction types 91% HIGH VARIES
Ratio of negative to positive contractions 91:1 HIGH VARIES
Usage of negative contractions (don't, won't, can't) 38% HIGH VARIES
Variety of different contractions used 46% HIGH VARIES
Count of negative contractions used 9% LOW VARIES
Count of positive contractions used 82% TYPICAL VARIES
Percentage of words that are contractions 1% TYPICAL VARIES
Total number of contractions 91% TYPICAL VARIES
Usage of positive contractions (it's, I'm, we're) 64% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'a' per 1000 words 12 - 49 HIGH STEADY
Usage of 'as' per 1000 words 0-12 per 1k words HIGH VARIES
Usage of 'for' per 1000 words 3 - 36 HIGH STEADY
Usage of 'of' per 1000 words 6 - 42 HIGH STEADY
Usage of 'which' per 1000 words 0-9 per 1k words HIGH VARIES
Usage of 'but' per 1000 words 0-5 per 1k words LOW VARIES
Usage of 'is' per 1000 words 0-17 per 1k words LOW VARIES
Usage of 'that' per 1000 words 0-7 per 1k words LOW VARIES
Usage of 'who' per 1000 words 0-5 per 1k words LOW VARIES
Overall grammatical word usage 199 - 252 TYPICAL STEADY
Usage of 'and' per 1000 words 11 - 41 TYPICAL STEADY
Usage of 'at' per 1000 words 0-27 per 1k words TYPICAL VARIES
Usage of 'because' per 1000 words 0-2 per 1k words TYPICAL VARIES
Usage of 'by' per 1000 words 0-6 per 1k words TYPICAL VARIES
Usage of 'if' per 1000 words 0-9 per 1k words TYPICAL VARIES
Usage of 'on' per 1000 words 0-20 per 1k words TYPICAL VARIES
Usage of 'so' per 1000 words 0-8 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 8 - 66 TYPICAL STEADY
Usage of 'to' per 1000 words 12 - 50 TYPICAL STEADY
Usage of 'with' per 1000 words 0 - 25 TYPICAL VARIES
Variety of function words used 50% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 6 - 14 HIGH STEADY
Proportion of all-lowercase hashtags 80% HIGH STEADY
Proportion of hashtags placed at the end 80% HIGH STEADY
Hashtag density per 100 words 0.0 - 3.2 LOW VARIES
Proportion of hashtags in ALL CAPS 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 - 2.5 LOW VARIES
Proportion of hashtags in the opening 20% TYPICAL VARIES
Proportion of hashtags using CamelCase 20% TYPICAL VARIES
Whether any hashtags are used 46% of posts TYPICAL VARIES
Whether the opening line contains a hashtag 20% TYPICAL VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Whether the hook contains emoji 18% of posts HIGH VARIES
Negation words in the hook 0.0 - 0.4 LOW VARIES
Use of 'you/your' in the hook 1% LOW STEADY
Whether the hook starts with a conjunction 0% LOW STEADY
Whether there's a blank line after the hook 9% LOW VARIES
ALL CAPS words in the hook 2% TYPICAL STEADY
Character count of the hook 162 - 379 TYPICAL STEADY
Character position where the hook ends 162 - 379 TYPICAL STEADY
Hook length relative to total post 62% TYPICAL STEADY
Hook lines relative to total lines 52% TYPICAL STEADY
Number of emoji in the hook 0.0 - 0.9 TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 62% TYPICAL STEADY
Whether the hook contains a question 18% of posts TYPICAL VARIES
Whether there's a clear opening hook section 36% of posts TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Variation in line lengths 0 - 781 HIGH VARIES
Lines containing exactly one sentence 34% LOW VARIES
Percentage of single-word lines 0% LOW STEADY
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
Ratio of lines starting with quotes 0% LOW STEADY
Variation in block sizes 2% LOW VARIES
Average characters per line 101 - 249 TYPICAL STEADY
Average lines per text block 0.6 - 1.8 TYPICAL STEADY
Average spacing between blank lines 0.0 - 2.1 TYPICAL STEADY
Average words per line 17 - 44 TYPICAL STEADY
Blank lines per 100 total lines 5 - 47 TYPICAL STEADY
Number of visual text blocks 1.1 - 5.1 TYPICAL STEADY
Percentage of very short lines (<5 words) 10% TYPICAL VARIES
Predictability of line length pattern Very consistent TYPICAL VARIES
Proportion of blank space 26% TYPICAL STEADY
Spacing between content-rich lines 0.4 - 2.3 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
Use of inline enumeration 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
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 26 - 96 TYPICAL STEADY
How often three-word phrases repeat 84% TYPICAL VARIES
How often two-word phrases repeat 0.0 - 7.1 TYPICAL VARIES
Length of longest repeated phrase 0.0 - 3.5 TYPICAL VARIES
Number of unique words used 28 - 124 TYPICAL STEADY
Percentage of words used only once 85% TYPICAL STEADY
Ratio of meaningful words to grammatical words 3% TYPICAL STEADY
Unique words divided by total words 79% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with adverbs 0.0-1.0 per post HIGH VARIES
Count of sentences starting with conjunctions 0.0-1.3 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 0.1-4.3 per post HIGH STEADY
Count of sentences starting with subordinate clauses 0.0-1.2 per post HIGH VARIES
Count of sentences starting with time words 0.0-0.7 per post HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 3% HIGH VARIES
Sentences starting with And, But, Or, So (%) 3% HIGH VARIES
Sentences starting with adverbs (%) 6% HIGH VARIES
Sentences starting with pronouns (I, You, We, They) (%) 5 - 51 HIGH STEADY
Sentences starting with subordinate clauses (%) 6% HIGH VARIES
Sentences starting with time words (%) 4% HIGH VARIES
Count of sentences starting with -ing verbs ~0.0 per post LOW STEADY
Count of sentences starting with There is/It is ~0.0 per post LOW STEADY
Sentences starting with 'There is/are' or 'It is' (%) 0% LOW STEADY
Sentences starting with -ing verbs (%) 0% LOW STEADY
Closing Patterns
11
Feature Your DNA vs Others Consistency
ALL CAPS words in the closing 1% LOW VARIES
Whether the closing has emoji clusters 0% LOW STEADY
Character length of the closing 124 - 575 TYPICAL STEADY
Closing length relative to total post 72% TYPICAL STEADY
Number of emoji in the closing 0.0 - 0.6 TYPICAL VARIES
Whether the closing has a signature phrase 18% of posts TYPICAL VARIES
Whether the ending has a call-to-action 46% of posts TYPICAL VARIES
Whether the ending includes emoji 18% of posts TYPICAL VARIES
Whether the ending includes hashtags 46% of posts TYPICAL VARIES
Whether the ending is a question 18% TYPICAL VARIES
Whether there's a clear closing section 64% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Average change in length between paragraphs 0.2 - 2.0 HIGH STEADY
Closing paragraph length vs body average 91% HIGH STEADY
Opening paragraph length vs body average 2% HIGH STEADY
How frequently new paragraphs start 22 - 54 LOW STEADY
Average sentences per paragraph 1.4 - 3.0 TYPICAL STEADY
Average sentences per paragraph 1.4 - 3.0 TYPICAL STEADY
Consecutive long paragraphs 18% TYPICAL VARIES
Consecutive short paragraphs 0.8 - 3.6 TYPICAL STEADY
How much paragraph length varies 0.1 - 3.3 TYPICAL STEADY
Length of your longer paragraphs (80th percentile) 1.6 - 4.7 TYPICAL STEADY
Total number of paragraphs 1.4 - 5.2 TYPICAL STEADY
Typical paragraph length (median) 1.0 - 2.7 TYPICAL STEADY
Variation in length changes between paragraphs 0.0 - 2.3 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 5% TYPICAL STEADY
Percentage of words that are adjectives 9% TYPICAL STEADY
Percentage of words that are adverbs 4% TYPICAL STEADY
Percentage of words that are determiners 9% TYPICAL STEADY
Percentage of words that are nouns 16 - 30 TYPICAL STEADY
Percentage of words that are prepositions 9 - 14 TYPICAL STEADY
Percentage of words that are pronouns 8% TYPICAL STEADY
Percentage of words that are verbs 7 - 14 TYPICAL STEADY
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) 5 - 24 TYPICAL STEADY
How easy the text is to read (higher = easier) 49 - 70 TYPICAL STEADY
Percentage of complex words (3+ syllables) 12 - 21 TYPICAL STEADY
Total sentence count 2 - 11 TYPICAL STEADY
Total syllables in the post 41 - 284 TYPICAL STEADY
Total word count of the post 24 - 191 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Ellipsis (...) usage per 1000 words 0-15 per 1k words HIGH VARIES
Parentheses usage per 1000 words 0-13 per 1k words HIGH VARIES
Percentage of sentences trailing off with ellipsis 2% HIGH VARIES
Semicolon usage per 1000 words 0-28 per 1k words HIGH VARIES
Em dash (—) usage per 1000 words ~0 per 1k words LOW STEADY
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 exclamation marks per 1000 words 0-3 per 1k words LOW VARIES
Multiple question marks per 1000 words ~0 per 1k words LOW STEADY
Colon usage per 1000 words 0-43 per 1k words TYPICAL VARIES
Comma usage per 1000 words 18-63 per 1k words TYPICAL STEADY
Exclamation marks per 1000 words 0-49 per 1k words TYPICAL VARIES
Hyphen usage per 1000 words 0-36 per 1k words TYPICAL VARIES
Percentage of sentences ending with a question 8% TYPICAL VARIES
Percentage of sentences ending with exclamation 0 - 40 TYPICAL VARIES
Question marks per 1000 words 0-19 per 1k words TYPICAL VARIES
Quotation mark usage per 1000 words 0-18 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Average length of quoted passages 0 - 297 HIGH VARIES
Number of quotation blocks 0.0 - 2.0 HIGH VARIES
Total characters in quoted content 0 - 489 HIGH VARIES
Lines starting with quotation marks 0% LOW STEADY
Presence of dialogue attribution patterns 0% LOW STEADY
Lines using past tense 59% TYPICAL STEADY
Number of narrative/story signals 0.7 - 2.4 TYPICAL STEADY
Use of story transitions 12% TYPICAL VARIES
Whether the post contains quotations 55% of posts TYPICAL STEADY
Whether the post tells a story 55% of posts TYPICAL STEADY
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Parenthetical breaks per 1000 words 0-14 per 1k words HIGH VARIES
Percentage of sentences over 20 words 39% HIGH STEADY
Average number of clauses per sentence 1.4 - 3.3 TYPICAL STEADY
Average number of words per sentence 11 - 22 TYPICAL STEADY
Average words per sentence 11 - 22 TYPICAL STEADY
How much sentence length varies (normalized) 57% TYPICAL STEADY
How often paragraphs contain just one sentence 33% TYPICAL VARIES
Length of your longer sentences (80th percentile) 19 - 30 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 2 - 17 TYPICAL STEADY
Overall sentence complexity 11 - 73 TYPICAL STEADY
Percentage of sentences under 8 words 28% TYPICAL STEADY
Typical sentence length (median) 8 - 23 TYPICAL STEADY
Variation in clause count across sentences 0.1 - 3.0 TYPICAL STEADY
Variation in sentence lengths 3 - 14 TYPICAL STEADY
Word count of shortest sentence 0 - 16 TYPICAL VARIES
Word count of the longest sentence 19 - 39 TYPICAL STEADY

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