:::summarybox learn Why voice matters for AI-generated content How to train Trakkr with your writing samples How your style gets applied during generation
note You've read the output. Everything an AI writes, before you teach it otherwise, sounds the same. Slightly corporate, vaguely helpful, technically fine. The kind of writing nobody finishes reading and nobody remembers writing.
Your brand has a voice. A specific way of opening a paragraph, a vocabulary you keep coming back to, a rhythm a regular reader could pick out of a lineup. When Trakkr writes for you, it should sound like your best writer on a good day, not a language model's default mode. That's what the Writing Style section is for.
Why voice matters
Voice isn't just about sounding nice. It affects whether your content achieves its goals:
Trust and recognition
Readers develop relationships with brands through consistent voice. When your content suddenly sounds different, it creates cognitive dissonance. They notice something's off, even if they can't articulate what.
Authenticity signals
AI models are getting better at detecting authentic content vs. generic AI output. Content that has a distinctive voice - especially one consistent with your other content - signals authenticity.
Brand differentiation
In a world where everyone can generate content, voice is one of your remaining differentiators. The what you say matters, but how you say it matters too.
How it works
Trakkr learns your voice from examples. You provide writing samples - content that represents how you want to sound - and the system analyzes them to understand your patterns.
What gets analyzed
When you add a writing sample, Trakkr examines:
Vocabulary - The words you use, the words you avoid, industry terminology, brand-specific language.
Sentence structure - Do you write short, punchy sentences? Or longer, more flowing ones? Do you use fragments for effect?
Tone markers - Formal vs. casual. Technical vs. accessible. Serious vs. playful. These exist on spectrums, and your writing falls somewhere specific.
Rhythm and pacing - How do you vary sentence length? How do you use paragraphs? What's the overall flow?
Rhetorical devices - Do you ask questions? Use analogies? Make lists? Open with hooks?
The result is a profile of your writing voice that gets applied when generating content.
Adding writing samples
Good samples make all the difference. Here's how to choose them:
What makes a good sample
Genuinely yours - Content you wrote or thoroughly edited, not guest posts or content you didn't shapeRepresentative - Content that sounds how you want to sound, not early work you've grown pastSubstantial - At least 500 words per sample; short snippets don't provide enough patternsVaried - Different topics within your domain; this helps isolate voice from subject matter
What to avoid
Generic content - If it could have been written by anyone in your industry, it won't teach muchHeavily co-written - If multiple voices are mixed, the analysis gets muddyOutlier pieces - That one time you wrote something unusually casual/formal doesn't represent your normVery old content - Voices evolve; use recent work that reflects your current style
How many samples
2-3 high-quality samples is a good starting point. The system can work with one, but more samples give better signal. Diminishing returns kick in around 5-6 samples - after that, you're not adding much new information.
The analysis process
When you add samples, here's what happens:
Ingestion - The system reads and processes your contentAnalysis - Patterns are extracted across vocabulary, structure, tone, and styleProfile creation - A voice profile is built that captures your distinctive patternsReady state - The profile is applied to all future content generation
This typically takes about 30 seconds per sample.
What you'll see
After analysis, your Writing Style page shows a summary of your voice profile:
Key vocabulary patterns detected Tone positioning (formal/casual, technical/simple, etc.) Structural tendencies Notable characteristics
This isn't a rigid rulebook - it's a learned pattern that influences generation probabilistically.
Adding samples in practice
Navigate to Create Content → Settings → Writing Style (click the gear icon) You'll see a text area where you can paste URLs or add content directly Add a URL to one of your best articles, or paste content directly Click Add and wait for processing Repeat with additional samples
URL vs. direct paste
URLs are convenient for published content - the system will scrape and analyze the page. Best for blog posts, articles, and pages you've published.
Direct paste works for content that isn't published, like draft documents, internal communications, or content from other platforms.
How voice gets applied
Once you have a voice profile, it influences generation in several ways:
During initial drafts
When you generate an article, the AI uses your voice profile to shape:
Word choice and vocabulary Sentence construction Paragraph pacing Tone and register
The goal isn't to mimic exactly - it's to produce content that fits naturally alongside your existing work.
The reality
Voice transfer isn't perfect. AI-generated content won't be indistinguishable from your writing - at least not yet. But a good voice profile:
Eliminates the generic "AI voice" problem Produces content that's 80% there, not 50% Reduces editing time significantly Maintains consistency across articles
Think of it as the difference between a ghostwriter who's read your work vs. one who hasn't.
When it doesn't work
Sometimes the results don't match your expectations:
Not enough signal
If samples are too short or too generic, there isn't enough distinctive pattern to learn. Solution: add more substantial, more distinctive samples.
Conflicting samples
If your samples have very different voices (maybe from different time periods or different contexts), the profile might be muddled. Solution: curate samples that represent one consistent voice.
Expectations mismatch
Sometimes people expect perfect imitation. AI voice matching is more like "capturing the spirit" than "cloning exactly." If you need exact replication, AI content generation might not be the right tool.
Updating your voice
Voices evolve. What felt right two years ago might not reflect who you are now. You can:
Add new samples - Add recent content that represents your current voiceRemove old samples - Delete samples that no longer represent how you want to soundRe-analyze - Trigger a fresh analysis after making changes
The profile updates to reflect your current sample set.
Next: Choosing the right structure
You've defined what you'll say (knowledge) and how you'll say it (voice). Now let's talk about the structure that helps AI understand and cite your content.
featurehighlight content|Structure That Works|Choose templates designed for AI parseability and citations.|/learn/docs/features/content/templates