A guide to using an AI blog writer with brand voice training

Much of the AI-generated content available today can sound generic and may lack the distinct personality of a brand. This type of content may not effectively build trust or connect with an audience.

However, a new generation of AI tools addresses this by learning and replicating a specific brand voice. These platforms can be trained on your company's unique vocabulary, perspective, and stylistic elements. This goes beyond selecting a basic tone from a menu.

The eesel AI blog writer is a platform designed to help with this. It turns a single keyword into a complete blog post that aligns with a specific brand voice, allowing for scaled content creation.

What is an AI blog writer with brand voice training?

Your "brand voice" is your company's personality in writing. It’s the mix of tone, vocabulary, sentence structure, and perspective that makes your content instantly recognizable. For many brands, their writing style is a key differentiator from competitors.

So, how does an AI learn this? The training process involves feeding the AI examples of your best content, like blog posts, website copy, or help articles. The AI then analyzes this material to pick up on the patterns that define your voice. It looks at everything from the words you choose to the length of your sentences.

This deep training is what differentiates a dedicated brand voice tool from a generic AI writer. While others might offer a few basic tone settings, a trained AI can capture the subtle details of your style. The goal is to get consistent and authentic content at scale, so every blog post, email, or social update feels like it was written by the same human.

How AI learns your brand voice

Training an AI on your brand voice is similar to onboarding a new writer. It requires clear examples, established guidelines, and feedback. Here’s a breakdown of how it usually works, which can be visualized in the following graphic.

Step 1: Provide writing samples

The AI needs source material to learn from. The quality of this input is important, as the AI will analyze these samples for patterns in everything from vocabulary and humor to formatting and sentence length.

The method for providing these samples varies between tools. Some require a hands-on approach. For instance, HubSpot AI needs a writing sample of at least 500 words. Typeface AI requires a minimum of 15,000 words for long-form content. This process can involve gathering and uploading a significant amount of content.

Alternatively, some platforms like the eesel AI blog writer streamline this step. You provide a website URL, and the tool automatically learns your brand context.

Step 2: Define parameters

Once the AI has your writing samples, you can provide more specific instructions to guide the output. This allows you to fine-tune the results.

This often involves defining your target audience (e.g., "marketing managers at B2B SaaS companies") and outlining your company's unique perspective. For example, HubSpot allows you to customize your brand’s personality and tone with up to four characteristics, add your company mission, and even list specific words or phrases to avoid. This helps the AI understand not just how you say things, but why.

Step 3: Use iterative feedback

Achieving the right brand voice is often an ongoing process of tweaking and refining. The first few outputs can be considered a first draft.

Many platforms have a built-in feedback loop. This means you can correct the AI’s output, make edits, and provide feedback on what it got wrong or right. The AI then learns from these corrections, so its future generations get progressively better at capturing the details of your brand’s voice. Over time, it becomes more aligned with your style, requiring less editing.

Key features of an AI blog writer with brand voice training

Not all AI blog writers are built the same. When you're looking for a tool that can handle brand voice, a few key features separate a basic text generator from a brand-aligned content platform.

Ease of input

Consider how the tool learns your brand voice. Some tools require manual uploads of documents, while others can scan a website from a URL. For example, getting Typeface trained for long-form content can take 2 to 3 hours. The less manual work required, the faster you can start generating content.

Customization and control

Look for controls that go deeper than just a "friendly" or "professional" tone setting. Can you specify the audience you're writing for? Can you define a list of words to avoid? What about setting rules for inclusivity or specific formatting? The more detailed control you have, the more the final output will sound like you. Some platforms, like HubSpot, let you set different tones for different channels, which is useful for adapting your voice for a blog post versus a social media update.

End-to-end content generation

A blog post is more than just text. It often has images, charts, videos, and social proof. Some AI writers produce complete, media-rich articles. This is distinct from tools that produce a text draft which then requires manual formatting and asset sourcing.

Ask yourself: Does the tool generate relevant images, infographics, and tables automatically? Can it pull in and embed real Reddit quotes or relevant YouTube videos to back up its points? Platforms like the eesel AI blog writer do all of this, turning a keyword into a publish-ready post, which can save time on content creation tasks.

Comparing AI blog writers with brand voice training

If you're considering a tool, let's look at a few of the leading options that offer brand voice training, breaking down how they work, their strengths, and their potential drawbacks.

1. eesel AI blog writer

• How it works: To begin, you enter your website URL, and the eesel AI blog writer automatically analyzes your site to learn your brand context, voice, and style. From there, you can add more specific instructions for tone, audience, and the desired angle.
• Strengths: The tool focuses on creating complete blog posts. It generates SEO- and AEO-optimized articles from a single keyword. It automatically includes AI-generated images, infographics, and tables, and embeds relevant Reddit quotes and YouTube videos. The platform also features context-aware research to generate relevant content.
• Limitations: Its primary focus is on generating long-form blog posts. Users looking for a tool that mainly creates short-form social media snippets or ad copy might find its features more specialized than needed.
• Pricing: You can try it for free. Paid plans start at $99 for 50 blog posts.

2. HubSpot AI (Breeze)

• How it works: HubSpot users can train their brand voice by uploading a writing sample of at least 500 words, letting it scan existing content within their HubSpot portal, or pasting in text. This trained voice can then be used to generate or rewrite content across the platform.
• Strengths: A key advantage is its deep integration with the HubSpot ecosystem. For businesses already using HubSpot for marketing and sales, this feature allows for voice consistency across all channels.
• Limitations: The brand voice feature is included in their Professional or Enterprise plans. The Marketing Hub Professional plan starts at $800 per month, so businesses should consider this cost when evaluating options.

3. Typeface AI

• How it works: Typeface AI trains its AI by analyzing content from URLs you provide or documents you upload. It is designed to help organizations create distinct voices for different channels, authors, or campaigns.
• Strengths: Its capabilities include creating highly specific, channel-aware voices. For example, a company could create separate voices for a CEO's LinkedIn posts, an Instagram brand account, and formal press releases.
• Limitations: The training process requires a minimum of 15,000 words for long-form content and can take a few hours to complete. Pricing is not public and requires contacting their sales team, a common practice for enterprise-focused platforms.

For a visual guide on how you can train an AI on your own content, the following video provides a practical walkthrough. It demonstrates how to use your existing blog posts as a blueprint to teach an AI to replicate your specific writing style, ensuring future content remains consistent and on-brand.

A video explaining how to use an AI blog writer with brand voice training to match your unique writing style.

The future of content is personal, not generic

As AI-generated content becomes more common, the brands that stand out will be the ones that sound authentically human. Publishing generic, robotic articles is not a long-term strategy. Building trust and a real connection with your audience requires a voice they can recognize and relate to.

I’d trust AI to help with consistency, but not to handle it completely on its own. It’s great for keeping tone and phrasing aligned once you train it well, but there’s still a human touch that makes brand voice feel authentic. I use AI for drafts and structure, then tweak the final copy myself to make sure it still sounds real.

Reddit

Training an AI on your unique brand voice is becoming a standard practice. The right tool can make this process easy and scalable. It allows you to produce high-quality, on-brand content consistently, freeing you up to focus on the bigger picture.

Generate your first on-brand blog with eesel AI

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