Instead of writing a style guide from scratch, feed your most successful and on-brand articles, emails, and web pages into an AI model. This process allows the AI to capture the essence of your unique voice, creating a foundational asset for generating new, consistent content at scale.
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Develop superior AI-generated copy by first using an AI agent to research and deconstruct the frameworks of top marketers. Then, feed the AI examples of your own writing to distill a unique brand voice. Combining these into a custom 'skill' produces consistent, high-converting copy that feels authentic.
To make ghostwritten content sound authentic, train a custom ChatGPT on an executive's past writing, such as emails or Slack messages. This helps capture their unique voice and tone, making drafts significantly closer to their natural style.
Don't let an AI agent generate sales copy from scratch. The key to creating high-quality, effective outreach is to train the model using the proven email templates and scripts from your highest-performing salesperson. This provides a strong baseline for the AI to iterate and test from.
Top sales rep Evan Greek uses a GPT model she personally trained to mimic her writing style. By providing feedback on drafts, the AI learns her preferences for tone and structure, allowing her to combine the speed of automation with genuine personalization.
Traditional brand guidelines in static PDFs fail to scale with AI. A "brand system of record" acts as a dynamic, living brain, capturing tone, style, and visuals that AI can use in real-time to ensure all generated content is consistent and on-brand.
To analyze brand alignment accurately, AI must be trained on a company's specific, proprietary brand content—its promise, intended expression, and examples. This builds a unique corpus of understanding, enabling the AI to identify subtle deviations from the desired brand voice, a task impossible with generic sentiment analysis.
To avoid generic AI-generated text, use the LLM as a critic rather than a writer. By providing a detailed style guide that you co-created with the AI, its feedback on your drafts becomes highly specific and aligned with your personal goals, audience, and tone.
To avoid robotic content, use “humanization prompting.” This involves uploading transcripts of your natural speech (from interviews or voice notes) to a custom GPT’s knowledge base, training it to adopt your unique cadence, vocabulary, and style.
Generic AI app generation is a commodity. To create valuable, production-ready apps, AI models need deep context. This "Brand OS" combines a company's design system (visual identity) and CMS content (brand voice). Providing this unique context is the key to generating applications that are instantly on-brand.
For superior AI-generated content, create a persistent knowledge base for the model using features like Claude's "Projects." Uploading actual sales call transcripts and customer interviews trains the AI on your specific customer's voice and pain points, resulting in more authentic and targeted marketing copy.
