Feature

AI Content With Your Brand Voice

Generic AI text kills trust and triggers detection tools. Clickcentric learns your specific writing style and produces content that's indistinguishable from your best human writers.

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The Problem With Generic AI Writing

AI Content All Sounds the Same

ChatGPT and Jasper produce homogenized text with the same sentence structures, transitions, and vocabulary. Readers — and algorithms — recognize it instantly.

Detection Tools Flag Your Content

Originality.ai and GPTZero flag standard AI output at 90%+ rates. This forces teams to manually 'humanize' text, wasting the time savings AI was supposed to provide.

Brand Identity Gets Lost

Your brand has a specific tone, vocabulary, and personality. Generic AI writers strip all of that away, producing content that could belong to any company in your industry.

How Brand Voice Training Works

Provide Sample Content

Upload 3-5 examples of your best existing content. Clickcentric analyzes sentence length, vocabulary choices, tone markers, formatting preferences, and stylistic patterns.

Set Voice Parameters

Fine-tune the voice profile: formality level, use of jargon, sentence complexity, humor style, preferred transition words, and paragraph structure.

Generate Content in Your Voice

Every article the AI produces is filtered through your brand voice profile. The output matches your existing content's style naturally and consistently.

Refine Over Time

As you approve or edit generated content, the voice profile learns and improves. The more you use it, the more accurately it mirrors your writing style.

Brand Voice Capabilities

Voice Profile Training

Upload samples and let the AI learn your unique writing patterns.

Tone Control

Adjust formality, humor, technical depth, and personality per piece.

Vocabulary Matching

Use your industry jargon, branded terms, and preferred language naturally.

Detection Bypass

Voice-trained content bypasses AI detection tools without artificial 'humanizing'.

Per-Client Profiles

Agencies can create separate voice profiles for each client workspace.

Continuous Learning

The voice profile improves with every article you approve or edit.

Frequently Asked Questions

3-5 high-quality samples of 1,000+ words each are sufficient for an accurate voice profile. The more diverse the samples (blog posts, landing pages, emails), the more nuanced the profile.

Voice-trained content scores significantly lower on detection tools because it breaks the homogenized patterns those tools look for. The output exhibits natural variation in sentence structure, vocabulary, and style.

Yes. You can create multiple voice profiles — for example, a casual blog voice, a formal whitepaper voice, and a concise product page voice — and apply the appropriate one per content piece.

Google's E-E-A-T guidelines reward content that demonstrates real expertise and experience. A consistent, authentic brand voice is one of the strongest signals of genuine authorship — it shows the content comes from someone who actually knows the subject.

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