Gideon Thomas's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 89 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
5x more
See example from 11 Nov 2025
Proportion of hashtags placed at the end
consistent
4x more
Predictability of line length pattern
consistent
2x more
Whether any hashtags are used
consistent
2x more
See example from 19 Nov 2025
Percentage of lines containing at least one emoji
4x more
Number of emoji in the opening hook
5x more
Whether the ending includes hashtags
consistent
2x more

Does Less Of...

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

Closing length relative to total post
1.6x less
Hook lines relative to total lines
1.5x less
Average words per line
consistent
1.5x less
Typical paragraph length (median)
consistent
1.5x less
Hook length relative to total post
consistent
1.3x less
Where LinkedIn's 'see more' cuts off
consistent
1.3x less
Average sentences per paragraph
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 nearly 5x more of your emojis are neutral or functional compared to the average LinkedIn poster. While most people sprinkle in the odd smile or rocket, you default to the straight-faced, utilitarian emoji - and on 4x as many lines as your peers. It’s almost like you’re using them as punctuation, not decoration.

This signals something powerful to your audience: composure, clarity, and a subtle refusal to play the lowest-common-denominator engagement game. Now try briefing this to a ghostwriter: “Add more neutral emojis, but never for flair - always to guide the flow.” They’d think you’ve lost your mind. You don’t even know when you’re doing it - it’s not a style guide, it’s your writing DNA.

You post just 0.7 times a week, but every post is unmistakably you. This is what Drumbeat captures - the subconscious patterns your audience feels, even when you can't explain them. Your real voice, at scale.

Style Evolution

How your writing has changed (May 2023 - Nov 2025)

Recent 45 posts since Dec 2023
vs
Earlier 44 posts before Dec 2023
Opening hashtags Declining (23% → 11%)
Less

Style patterns based on 89 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

10 May 2023 - 19 Nov 2025

0.7 posts/week avg
57/133 active weeks
76 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.) 28% HIGH VARIES
Whether CTAs include emoji 35% of posts HIGH VARIES
CTAs phrased as questions vs statements 3% LOW VARIES
Whether CTAs include hashtags 7% of posts LOW VARIES
Whether CTAs are concentrated at the end of the post 4% TYPICAL VARIES
Whether any call-to-action exists 81% of posts TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average distance between repeated emoji 28% HIGH VARIES
Average emoji per line of text 38% HIGH STEADY
Average number of emoji appearing together in clusters 25% HIGH VARIES
Balance between positive and negative emoji 21% HIGH VARIES
Count of neutral/functional emoji 0.2 - 4.0 HIGH STEADY
Count of positive/celebratory emoji 0.0 - 1.9 HIGH VARIES
Emoji count per 1000 words 0 - 40 HIGH VARIES
Emoji count relative to sentence count 43% HIGH STEADY
Emoji density in CTA sections 0 - 71 HIGH VARIES
Emoji density in the hook section 1 - 60 HIGH STEADY
Emoji usage in the middle section of the post 0 - 48 HIGH VARIES
Emoji used to replace words entirely 11% HIGH VARIES
How consistently emoji pair with specific words 4% HIGH VARIES
How consistently the same emoji is used for bullets 4% HIGH VARIES
How often the same emoji repeats across the post 17% HIGH VARIES
Largest group of adjacent emoji 23% HIGH VARIES
Number of different emoji types used 0.0 - 2.4 HIGH VARIES
Number of emoji clusters (groups of adjacent emoji) 0.0 - 0.4 HIGH VARIES
Number of emoji in call-to-action lines 0.0 - 1.1 HIGH VARIES
Number of emoji in the opening hook 0.2 - 2.2 HIGH STEADY
Percentage of emoji that are neutral/functional 79% HIGH STEADY
Percentage of emoji that are positive/celebratory 21% HIGH VARIES
Percentage of lines containing at least one emoji 34% HIGH STEADY
Proportion of emoji appearing in clusters 8% HIGH VARIES
Proportion of emoji that appear multiple times 2% HIGH VARIES
Total count of repeated emoji across the post 0.0 - 2.6 HIGH VARIES
Total number of emoji in the post 0.0 - 3.8 HIGH VARIES
Variety of different emoji used (unique/total ratio) 49% HIGH STEADY
Variety of different emoji used as bullets 2% HIGH VARIES
Whether any emoji are used in the post 58% of posts HIGH STEADY
Whether emoji are used as bullet point markers 4% HIGH VARIES
Whether the post starts with an emoji 21% HIGH VARIES
Count of negative/warning emoji ~0.0 LOW STEADY
Percentage of emoji that are negative/warning 0% LOW STEADY
Percentage of lines that contain only emoji 0% LOW STEADY
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Number of bullet point lines using emoji as markers 0.0 - 1.0 TYPICAL VARIES
Percentage of emoji that are 'corpspeak' type 64% TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Count of positive contractions used 84% HIGH VARIES
Number of different contraction types 99% HIGH VARIES
Ratio of negative to positive contractions 56:1 HIGH VARIES
Total number of contractions 0.0 - 2.3 HIGH VARIES
Usage of negative contractions (don't, won't, can't) 28% HIGH VARIES
Variety of different contractions used 55% HIGH STEADY
Count of negative contractions used 22% TYPICAL VARIES
Percentage of words that are contractions 1% TYPICAL VARIES
Usage of positive contractions (it's, I'm, we're) 89% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'because' per 1000 words 0-1 per 1k words LOW VARIES
Usage of 'but' per 1000 words 0-4 per 1k words LOW VARIES
Usage of 'which' per 1000 words 0-1 per 1k words LOW VARIES
Usage of 'who' per 1000 words 0-2 per 1k words LOW VARIES
Overall grammatical word usage 147 - 237 TYPICAL STEADY
Usage of 'a' per 1000 words 3 - 34 TYPICAL STEADY
Usage of 'and' per 1000 words 6 - 48 TYPICAL STEADY
Usage of 'as' per 1000 words 0-9 per 1k words TYPICAL VARIES
Usage of 'at' per 1000 words 0-20 per 1k words TYPICAL VARIES
Usage of 'by' per 1000 words 0-7 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0 - 22 TYPICAL VARIES
Usage of 'if' per 1000 words 0-8 per 1k words TYPICAL VARIES
Usage of 'is' per 1000 words 0-18 per 1k words TYPICAL VARIES
Usage of 'of' per 1000 words 0 - 38 TYPICAL VARIES
Usage of 'on' per 1000 words 0-16 per 1k words TYPICAL VARIES
Usage of 'so' per 1000 words 0-6 per 1k words TYPICAL VARIES
Usage of 'that' per 1000 words 0-16 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 13 - 53 TYPICAL STEADY
Usage of 'to' per 1000 words 14 - 53 TYPICAL STEADY
Usage of 'with' per 1000 words 0 - 23 TYPICAL STEADY
Variety of function words used 43% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 6 - 12 HIGH STEADY
Proportion of hashtags in ALL CAPS 11% HIGH VARIES
Proportion of hashtags placed at the end 82% HIGH STEADY
Proportion of hashtags using CamelCase 56% HIGH STEADY
Proportion of hashtags woven into the text 9% HIGH VARIES
Ratio of inline hashtags to end hashtags 0 - 288 HIGH VARIES
Total number of hashtags 1.7 - 4.9 HIGH STEADY
Whether any hashtags are used 96% of posts HIGH STEADY
Proportion of hashtags in the opening 8% LOW VARIES
Hashtag density per 100 words 1.2 - 7.8 TYPICAL STEADY
Proportion of all-lowercase hashtags 33% TYPICAL VARIES
Whether the opening line contains a hashtag 18% TYPICAL VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Number of emoji in the hook 0.0 - 1.5 HIGH VARIES
Whether the hook contains emoji 38% of posts HIGH VARIES
Whether there's a blank line after the hook 37% HIGH VARIES
Whether there's a clear opening hook section 53% of posts HIGH STEADY
Hook lines relative to total lines 44% LOW STEADY
Use of 'you/your' in the hook 1% 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 168 - 359 TYPICAL STEADY
Character position where the hook ends 168 - 359 TYPICAL STEADY
Hook length relative to total post 54% TYPICAL STEADY
Negation words in the hook 0.0 - 0.9 TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 54% TYPICAL STEADY
Whether the hook contains a question 16% of posts TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Average spacing between blank lines 1.2 - 3.0 HIGH STEADY
Blank lines per 100 total lines 28 - 46 HIGH STEADY
Percentage of very short lines (<5 words) 21% HIGH STEADY
Predictability of line length pattern Fairly consistent HIGH STEADY
Proportion of blank space 37% HIGH STEADY
Ratio of lines starting with punctuation 4% HIGH VARIES
Spacing between content-rich lines 1.5 - 2.1 HIGH STEADY
Average words per line 10 - 20 LOW STEADY
Ratio of lines starting with numbers 0% LOW STEADY
Ratio of lines starting with quotes 0% LOW STEADY
Average characters per line 61 - 129 TYPICAL STEADY
Average lines per text block 0.9 - 1.8 TYPICAL STEADY
Lines containing exactly one sentence 77% TYPICAL STEADY
Number of visual text blocks 2.3 - 7.9 TYPICAL STEADY
Percentage of single-word lines 2% TYPICAL VARIES
Ratio of lines starting with ALL CAPS 2% TYPICAL VARIES
Variation in block sizes 61% TYPICAL VARIES
Variation in line lengths 0 - 316 TYPICAL VARIES
List Patterns
15
Feature Your DNA vs Others Consistency
Whether dash/bullet lists are used 7% of posts HIGH VARIES
Average items per emoji list 7% 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 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 emoji bullet lists are used 1% of posts LOW VARIES
Whether numbered lists are used 0% of posts LOW STEADY
Average items per dash/bullet list 24% TYPICAL VARIES
Number of dash/bullet list sections 0.0 - 0.3 TYPICAL VARIES
Whether any list structure is used 8% of posts TYPICAL VARIES
Vocabulary & Phrases
10
Feature Your DNA vs Others Consistency
How often three-word phrases repeat 55% LOW VARIES
Common idioms and expressions per 1000 words 14% TYPICAL VARIES
Count of idiomatic expressions 0.0 - 0.2 TYPICAL VARIES
Count of words used only once 36 - 85 TYPICAL STEADY
How often two-word phrases repeat 0.0 - 5.9 TYPICAL VARIES
Length of longest repeated phrase 0.0 - 2.7 TYPICAL STEADY
Number of unique words used 40 - 105 TYPICAL STEADY
Percentage of words used only once 85% TYPICAL STEADY
Ratio of meaningful words to grammatical words 5% TYPICAL STEADY
Unique words divided by total words 81% 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 There is/It is 0.0-0.3 per post HIGH VARIES
Count of sentences starting with adverbs 0.0-0.8 per post HIGH VARIES
Count of sentences starting with conjunctions 0.0-0.7 per post HIGH VARIES
Count of sentences starting with discourse markers 0.0-0.5 per post HIGH VARIES
Count of sentences starting with pronouns 0.0-2.1 per post HIGH VARIES
Count of sentences starting with subordinate clauses 0.0-1.1 per post HIGH VARIES
Count of sentences starting with time words 0.0-0.6 per post HIGH VARIES
Sentences starting with 'There is/are' or 'It is' (%) 2% HIGH VARIES
Sentences starting with -ing verbs (%) 5% HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 2% HIGH VARIES
Sentences starting with And, But, Or, So (%) 2% HIGH VARIES
Sentences starting with subordinate clauses (%) 6% HIGH VARIES
Sentences starting with time words (%) 3% HIGH VARIES
Sentences starting with adverbs (%) 4% TYPICAL VARIES
Sentences starting with pronouns (I, You, We, They) (%) 0 - 31 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 ending includes emoji 43% of posts HIGH VARIES
Whether the ending includes hashtags 90% of posts HIGH STEADY
Closing length relative to total post 48% LOW STEADY
Whether the closing has a signature phrase 9% of posts LOW VARIES
Whether the ending is a question 7% LOW VARIES
ALL CAPS words in the closing 2% TYPICAL VARIES
Character length of the closing 120 - 348 TYPICAL STEADY
Whether the closing has emoji clusters 3% TYPICAL VARIES
Whether the ending has a call-to-action 27% of posts TYPICAL VARIES
Whether there's a clear closing section 90% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Consecutive short paragraphs 1.7 - 6.4 HIGH STEADY
Opening paragraph length vs body average 1% HIGH STEADY
Consecutive long paragraphs 1% LOW VARIES
How much paragraph length varies 72% LOW VARIES
Average change in length between paragraphs 74% TYPICAL STEADY
Average sentences per paragraph 1.1 - 1.9 TYPICAL STEADY
Average sentences per paragraph 1.1 - 1.9 TYPICAL STEADY
Closing paragraph length vs body average 76% TYPICAL STEADY
How frequently new paragraphs start 37 - 82 TYPICAL STEADY
Length of your longer paragraphs (80th percentile) 1.3 - 3.1 TYPICAL STEADY
Total number of paragraphs 2.4 - 7.7 TYPICAL STEADY
Typical paragraph length (median) 0.8 - 1.8 TYPICAL STEADY
Variation in length changes between paragraphs 66% 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 16 - 31 TYPICAL STEADY
Percentage of words that are prepositions 6 - 15 TYPICAL STEADY
Percentage of words that are pronouns 7% TYPICAL STEADY
Percentage of words that are verbs 9 - 15 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Average word complexity (syllables per word) 1.5 - 1.8 TYPICAL STEADY
Count of complex words (3+ syllables) 6 - 28 TYPICAL STEADY
How easy the text is to read (higher = easier) 33 - 69 TYPICAL STEADY
Percentage of complex words (3+ syllables) 11 - 24 TYPICAL STEADY
Total sentence count 3.3 - 8.8 TYPICAL STEADY
Total syllables in the post 71 - 244 TYPICAL STEADY
Total word count of the post 44 - 144 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Hyphen usage per 1000 words 2-48 per 1k words HIGH STEADY
Multiple exclamation marks per 1000 words 0-16 per 1k words HIGH VARIES
Percentage of sentences trailing off with ellipsis 2% HIGH VARIES
Mixed punctuation clusters per 1000 words ~0 per 1k words LOW STEADY
Question marks per 1000 words 0-11 per 1k words LOW VARIES
Colon usage per 1000 words 0-37 per 1k words TYPICAL VARIES
Comma usage per 1000 words 13-76 per 1k words TYPICAL STEADY
Ellipsis (...) usage per 1000 words 0-8 per 1k words TYPICAL VARIES
Em dash (—) usage per 1000 words 0-5 per 1k words TYPICAL VARIES
En dash (–) usage per 1000 words 0-5 per 1k words TYPICAL VARIES
Exclamation marks per 1000 words 0-44 per 1k words TYPICAL VARIES
Multiple question marks per 1000 words 0-1 per 1k words TYPICAL VARIES
Parentheses usage per 1000 words 0-10 per 1k words TYPICAL VARIES
Percentage of sentences ending with a question 4% TYPICAL VARIES
Percentage of sentences ending with exclamation 1 - 31 TYPICAL STEADY
Quotation mark usage per 1000 words 0-9 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
Average length of quoted passages 0 - 117 HIGH VARIES
Number of quotation blocks 0.2 - 1.9 HIGH STEADY
Whether the post contains quotations 73% of posts HIGH STEADY
Lines starting with quotation marks 0% LOW STEADY
Presence of dialogue attribution patterns 0% LOW STEADY
Use of story transitions 6% LOW VARIES
Lines using past tense 30% TYPICAL STEADY
Number of narrative/story signals 0.6 - 2.3 TYPICAL STEADY
Total characters in quoted content 0 - 145 TYPICAL VARIES
Whether the post tells a story 44% of posts TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Average number of clauses per sentence 1.4 - 2.7 TYPICAL STEADY
Average number of words per sentence 11 - 21 TYPICAL STEADY
Average words per sentence 11 - 21 TYPICAL STEADY
How much sentence length varies (normalized) 61% TYPICAL STEADY
How often paragraphs contain just one sentence 65% TYPICAL STEADY
Length of your longer sentences (80th percentile) 12 - 38 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 3 - 14 TYPICAL STEADY
Overall sentence complexity 12 - 59 TYPICAL STEADY
Parenthetical breaks per 1000 words 0-12 per 1k words TYPICAL VARIES
Percentage of sentences over 20 words 26% TYPICAL STEADY
Percentage of sentences under 8 words 22% TYPICAL STEADY
Typical sentence length (median) 9 - 20 TYPICAL STEADY
Variation in clause count across sentences 0.1 - 2.1 TYPICAL STEADY
Variation in sentence lengths 4 - 15 TYPICAL STEADY
Word count of shortest sentence 1 - 12 TYPICAL STEADY
Word count of the longest sentence 16 - 46 TYPICAL STEADY

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