George Edgar's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 32 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

Number of emoji in the opening hook
signature ↑ increasing
11x more
Emoji count relative to sentence count
signature ↑ increasing
10x more
Percentage of lines containing at least one emoji
signature ↑ increasing
7x more
Average emoji per line of text
signature ↑ increasing
8x more
Percentage of emoji that are neutral/functional
signature ↑ increasing
5x more
See example from 24 Sep 2025
Proportion of hashtags placed at the end
signature ↑ increasing
4x more
Count of neutral/functional emoji
↑ increasing
6x more

Does Less Of...

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

Whether the ending is a question
consistent
rarely
Whether CTAs include hashtags
consistent
rarely
Whether any list structure is used
consistent
rarely
Percentage of words that are pronouns
1.6x less
Typical paragraph length (median)
consistent
1.3x less
Percentage of words that are verbs
consistent
1.3x less
Average word complexity (syllables per word)
consistent
1.1x less
Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn’t realize, but you use 11 times more emoji in your opening hooks than the average LinkedIn author. Not just occasionally - almost every line you write is punctuated with neutral or functional emoji, at rates up to 8x higher than what anyone else is doing. It’s not just a style choice, it’s a fingerprint: your posts radiate a kind of visual punctuation that no one else in your network comes close to matching.

Why does this work? It signals a conversational, instantly scannable vibe that hooks people before they even process the words. But try briefing a ghostwriter: “Start every post with a burst of neutral emoji, make sure 7x more lines have them than anyone else, but never let it feel forced.” They’d stare at you blankly. You couldn’t systematize this if you tried - it’s pure instinct, not a checklist.

The kicker: you post less than once a week, yet every rare update is unmistakably you, right down to the emoji DNA. This is drumbeat-level nuance - the subconscious patterns you can’t describe but your audience feels. Your real voice, at scale.

Style Evolution

How your writing has changed (Jun 2014 - Jul 2025)

Recent 5 posts since Dec 2023
vs
Earlier 33 posts before Dec 2023
Hashtag usage Increasing (61% → 100%)
More
Opening hashtags Declining (3% → 0%)
Less
Emoji usage Increasing (33% → 80%)
More

Style patterns based on 38 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

18 Jun 2014 - 02 Jul 2025

0.1 posts/week avg
32/577 active weeks
545 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 2% LOW VARIES
CTAs using command verbs (Click, Share, Comment, etc.) 5% LOW VARIES
Whether CTAs are concentrated at the end of the post 0% LOW STEADY
Whether CTAs include emoji 3% of posts LOW VARIES
Whether CTAs include hashtags 0% of posts LOW STEADY
Average position of CTAs in the post Near top TYPICAL VARIES
Whether any call-to-action exists 47% of posts TYPICAL VARIES
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average emoji per line of text 83% HIGH STEADY
Average number of emoji appearing together in clusters 87% HIGH VARIES
Balance between positive and negative emoji 18% HIGH VARIES
Count of negative/warning emoji 0.0 - 0.3 HIGH VARIES
Count of neutral/functional emoji 1.2 - 4.8 HIGH STEADY
Count of positive/celebratory emoji 0.1 - 1.1 HIGH STEADY
Emoji count per 1000 words 0 - 95 HIGH VARIES
Emoji count relative to sentence count 94% HIGH STEADY
Emoji density in CTA sections 0 - 127 HIGH VARIES
Emoji density in the hook section 7 - 147 HIGH STEADY
Emoji usage in the middle section of the post 0 - 128 HIGH VARIES
Emoji used to replace words entirely 23% HIGH VARIES
How consistently emoji pair with specific words 4% HIGH VARIES
How consistently the same emoji is used for bullets 7% HIGH VARIES
How often the same emoji repeats across the post 8% HIGH VARIES
Largest group of adjacent emoji 87% HIGH VARIES
Number of different emoji types used 0.0 - 3.9 HIGH VARIES
Number of emoji clusters (groups of adjacent emoji) 0.0 - 1.6 HIGH VARIES
Number of emoji in call-to-action lines 0.0 - 2.3 HIGH STEADY
Number of emoji in the opening hook 1.5 - 3.6 HIGH STEADY
Percentage of emoji that are negative/warning 2% HIGH VARIES
Percentage of emoji that are neutral/functional 78% HIGH STEADY
Percentage of emoji that are positive/celebratory 20% HIGH VARIES
Percentage of lines containing at least one emoji 53% HIGH STEADY
Proportion of emoji appearing in clusters 33% HIGH VARIES
Proportion of emoji that appear multiple times 7% HIGH VARIES
Total number of emoji in the post 0.0 - 4.0 HIGH VARIES
Variety of different emoji used (unique/total ratio) 43% HIGH VARIES
Variety of different emoji used as bullets 7% HIGH VARIES
Whether any emoji are used in the post 47% of posts HIGH VARIES
Whether emoji are used as bullet point markers 7% HIGH VARIES
Whether the post starts with an emoji 27% HIGH VARIES
Average distance between repeated emoji 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 - 0.3 TYPICAL VARIES
Percentage of emoji that are 'corpspeak' type 95% TYPICAL VARIES
Total count of repeated emoji across the post 0.0 - 0.8 TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Percentage of words that are contractions 2% HIGH VARIES
Usage of positive contractions (it's, I'm, we're) 1% HIGH VARIES
Count of negative contractions used 12% TYPICAL VARIES
Count of positive contractions used 59% TYPICAL VARIES
Number of different contraction types 72% TYPICAL VARIES
Ratio of negative to positive contractions 31:1 TYPICAL VARIES
Total number of contractions 72% TYPICAL VARIES
Usage of negative contractions (don't, won't, can't) 16% TYPICAL VARIES
Variety of different contractions used 38% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'at' per 1000 words 0 - 26 HIGH VARIES
Usage of 'with' per 1000 words 0 - 29 HIGH VARIES
Usage of 'and' per 1000 words 0 - 32 LOW VARIES
Usage of 'because' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'but' per 1000 words 0-5 per 1k words LOW VARIES
Usage of 'by' per 1000 words 0-5 per 1k words LOW VARIES
Usage of 'is' per 1000 words 0-14 per 1k words LOW VARIES
Usage of 'on' per 1000 words 0-14 per 1k words LOW VARIES
Usage of 'so' per 1000 words 0-4 per 1k words LOW VARIES
Usage of 'that' per 1000 words 0-14 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 87 - 262 TYPICAL STEADY
Usage of 'a' per 1000 words 0 - 37 TYPICAL STEADY
Usage of 'as' per 1000 words 0-11 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0-22 per 1k words TYPICAL VARIES
Usage of 'if' per 1000 words 0-12 per 1k words TYPICAL VARIES
Usage of 'of' per 1000 words 0 - 43 TYPICAL VARIES
Usage of 'the' per 1000 words 8 - 68 TYPICAL STEADY
Usage of 'to' per 1000 words 5 - 46 TYPICAL STEADY
Variety of function words used 34% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 7 - 11 HIGH STEADY
Hashtag density per 100 words 0 - 12 HIGH VARIES
Proportion of all-lowercase hashtags 76% HIGH STEADY
Proportion of hashtags placed at the end 87% HIGH STEADY
Proportion of hashtags woven into the text 12% HIGH VARIES
Ratio of inline hashtags to end hashtags 0 - 208 HIGH VARIES
Total number of hashtags 0.6 - 5.6 HIGH STEADY
Whether any hashtags are used 78% of posts HIGH STEADY
Proportion of hashtags in ALL CAPS 2% LOW VARIES
Proportion of hashtags in the opening 1% LOW VARIES
Whether the opening line contains a hashtag 4% LOW VARIES
Proportion of hashtags using CamelCase 20% TYPICAL VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Number of emoji in the hook 0.0 - 2.4 HIGH VARIES
Whether the hook contains emoji 44% of posts HIGH VARIES
Negation words in the hook 0.0 - 0.4 LOW VARIES
Use of 'you/your' in the hook 1% LOW VARIES
Whether the hook contains a question 6% 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 103 - 313 TYPICAL STEADY
Character position where the hook ends 103 - 313 TYPICAL STEADY
Hook length relative to total post 74% TYPICAL STEADY
Hook lines relative to total lines 66% TYPICAL STEADY
Where LinkedIn's 'see more' cuts off 74% TYPICAL STEADY
Whether there's a blank line after the hook 25% TYPICAL VARIES
Whether there's a clear opening hook section 28% of posts TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Blank lines per 100 total lines 17 - 49 HIGH STEADY
Percentage of very short lines (<5 words) 26% HIGH VARIES
Proportion of blank space 33% HIGH STEADY
Spacing between content-rich lines 1.0 - 2.4 HIGH STEADY
Ratio of lines starting with numbers 1% LOW VARIES
Ratio of lines starting with punctuation 0% LOW STEADY
Ratio of lines starting with quotes 0% LOW STEADY
Variation in block sizes 17% LOW VARIES
Average characters per line 38 - 153 TYPICAL STEADY
Average lines per text block 0.9 - 1.4 TYPICAL STEADY
Average spacing between blank lines 0.2 - 2.5 TYPICAL STEADY
Average words per line 6 - 26 TYPICAL STEADY
Lines containing exactly one sentence 58% TYPICAL STEADY
Number of visual text blocks 1.6 - 5.3 TYPICAL STEADY
Percentage of single-word lines 2% TYPICAL VARIES
Predictability of line length pattern Very consistent TYPICAL STEADY
Ratio of lines starting with ALL CAPS 2% TYPICAL VARIES
Variation in line lengths 0 - 460 TYPICAL VARIES
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
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
Use of inline enumeration 1% TYPICAL VARIES
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 7 - 79 TYPICAL STEADY
How often three-word phrases repeat 83% TYPICAL VARIES
How often two-word phrases repeat 0.0 - 6.6 TYPICAL VARIES
Length of longest repeated phrase 0.0 - 2.8 TYPICAL VARIES
Number of unique words used 6 - 99 TYPICAL STEADY
Percentage of words used only once 88% TYPICAL STEADY
Ratio of meaningful words to grammatical words 5% TYPICAL STEADY
Unique words divided by total words 85% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with -ing verbs 0.0-0.6 per post HIGH VARIES
Count of sentences starting with adverbs 0.0-0.7 per post HIGH VARIES
Count of sentences starting with discourse markers 0.0-0.3 per post HIGH VARIES
Count of sentences starting with subordinate clauses 0.0-0.6 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. (%) 1% HIGH VARIES
Sentences starting with adverbs (%) 6% HIGH VARIES
Sentences starting with subordinate clauses (%) 3% HIGH VARIES
Sentences starting with time words (%) 3% HIGH VARIES
Count of sentences starting with There is/It is ~0.0 per post LOW STEADY
Count of sentences starting with conjunctions ~0.0 per post LOW STEADY
Sentences starting with 'There is/are' or 'It is' (%) 0% LOW STEADY
Sentences starting with And, But, Or, So (%) 0% LOW STEADY
Count of sentences starting with pronouns 0.0-1.7 per post TYPICAL VARIES
Sentences starting with -ing verbs (%) 2% TYPICAL VARIES
Sentences starting with pronouns (I, You, We, They) (%) 0 - 27 TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Number of emoji in the closing 0.0 - 2.2 HIGH VARIES
Whether the closing has emoji clusters 16% HIGH VARIES
Whether the ending includes emoji 34% of posts HIGH VARIES
Whether the ending includes hashtags 78% of posts HIGH STEADY
Whether the closing has a signature phrase 6% of posts LOW VARIES
Whether the ending has a call-to-action 6% of posts LOW VARIES
Whether the ending is a question 0% LOW STEADY
ALL CAPS words in the closing 2% TYPICAL VARIES
Character length of the closing 41 - 412 TYPICAL STEADY
Closing length relative to total post 74% TYPICAL STEADY
Whether there's a clear closing section 53% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Closing paragraph length vs body average 83% HIGH STEADY
Opening paragraph length vs body average 2% HIGH STEADY
Average change in length between paragraphs 76% TYPICAL VARIES
Average sentences per paragraph 1.1 - 2.2 TYPICAL STEADY
Average sentences per paragraph 1.1 - 2.2 TYPICAL STEADY
Consecutive long paragraphs 9% TYPICAL VARIES
Consecutive short paragraphs 1.2 - 4.5 TYPICAL STEADY
How frequently new paragraphs start 8 - 180 TYPICAL STEADY
How much paragraph length varies 0.0 - 3.6 TYPICAL VARIES
Length of your longer paragraphs (80th percentile) 1.0 - 3.6 TYPICAL STEADY
Total number of paragraphs 1.6 - 5.2 TYPICAL STEADY
Typical paragraph length (median) 0.9 - 2.0 TYPICAL STEADY
Variation in length changes between paragraphs 0.0 - 4.4 TYPICAL VARIES
Parts of Speech
9
Feature Your DNA vs Others Consistency
Percentage of words that are pronouns 6% LOW STEADY
Balance/distribution of different word types Fairly consistent 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 3% TYPICAL VARIES
Percentage of words that are determiners 6% TYPICAL STEADY
Percentage of words that are nouns 9 - 45 TYPICAL STEADY
Percentage of words that are prepositions 6 - 17 TYPICAL STEADY
Percentage of words that are verbs 6 - 15 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Average word complexity (syllables per word) 1.3 - 1.7 TYPICAL STEADY
Count of complex words (3+ syllables) 0 - 25 TYPICAL VARIES
How easy the text is to read (higher = easier) 42 - 85 TYPICAL STEADY
Percentage of complex words (3+ syllables) 6 - 20 TYPICAL STEADY
Total sentence count 1.1 - 7.7 TYPICAL STEADY
Total syllables in the post 0 - 231 TYPICAL VARIES
Total word count of the post 0 - 140 TYPICAL VARIES
Punctuation Style
17
Feature Your DNA vs Others Consistency
Ellipsis (...) usage per 1000 words 0-20 per 1k words HIGH VARIES
Exclamation marks per 1000 words 0-70 per 1k words HIGH VARIES
Percentage of sentences ending with exclamation 9 - 53 HIGH STEADY
Percentage of sentences trailing off with ellipsis 3% HIGH VARIES
Comma usage per 1000 words 0-42 per 1k words LOW 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 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 1% LOW VARIES
Question marks per 1000 words 0-3 per 1k words LOW VARIES
Quotation mark usage per 1000 words ~0 per 1k words LOW STEADY
Colon usage per 1000 words 0-86 per 1k words TYPICAL VARIES
Hyphen usage per 1000 words 0-53 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
Lines starting with quotation marks 0% LOW STEADY
Lines using past tense 27% LOW VARIES
Presence of dialogue attribution patterns 0% LOW STEADY
Total characters in quoted content 0 - 112 LOW VARIES
Average length of quoted passages 0 - 112 TYPICAL VARIES
Number of narrative/story signals 0.2 - 2.1 TYPICAL STEADY
Number of quotation blocks 0.0 - 1.1 TYPICAL VARIES
Use of story transitions 11% TYPICAL VARIES
Whether the post contains quotations 50% of posts TYPICAL VARIES
Whether the post tells a story 28% 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
Average number of clauses per sentence 1.2 - 2.7 TYPICAL STEADY
Average number of words per sentence 6 - 22 TYPICAL STEADY
Average words per sentence 6 - 22 TYPICAL STEADY
How much sentence length varies (normalized) 52% TYPICAL STEADY
How often paragraphs contain just one sentence 55% TYPICAL STEADY
Length of your longer sentences (80th percentile) 9 - 34 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 2 - 12 TYPICAL STEADY
Overall sentence complexity 0 - 70 TYPICAL VARIES
Percentage of sentences over 20 words 20% TYPICAL VARIES
Percentage of sentences under 8 words 34% TYPICAL STEADY
Typical sentence length (median) 6 - 21 TYPICAL STEADY
Variation in clause count across sentences 0.0 - 2.8 TYPICAL VARIES
Variation in sentence lengths 1 - 14 TYPICAL STEADY
Word count of shortest sentence 1 - 12 TYPICAL STEADY
Word count of the longest sentence 10 - 36 TYPICAL STEADY

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