Run content through a custom AI agent trained on your specific buyer persona. This tool can flag jargon or phrasing that is technically correct but misaligned with the target audience's language, ensuring your message lands effectively before it goes live.

To get an objective critique of AI-generated content, use a dedicated 'reviewer' sub-agent. This separates the drafting and evaluation processes, preventing the original agent from being biased by its own creation and ensuring a higher quality output.

Eoin Clancy of Airops defines low-quality AI content, or 'slop,' with three indicators: 1) It isn't unique and fails to advance the conversation. 2) It doesn't sound like your brand. 3) It uses robotic language, such as 'utilize' instead of 'use' or excessive em-dashes.

Combat the generic "sounds like AI" problem by tasking an AI to regularly scan your past content—emails, captions, and posts—to learn your unique tone, style, and evolving vocabulary. This creates a dynamic brand voice guide that ensures all future AI-generated content sounds authentic.

To make AI-assisted writing more effective, first create detailed personas of your target readers. Then, have these AI personas review your drafts, providing specific feedback on clarity, impact, and what would make them disengage. This allows for unlimited, targeted feedback cycles.

AI is a poor substitute for authentic writing and cannot replicate a unique voice. However, it's an invaluable tool for accelerating the editing process. By feeding it drafts and previous work, you can get instant, objective feedback on flow, repetition, and weak points, creating a faster feedback loop than human editors alone.

VP of Growth Eoin Clancy identifies three signs of low-quality AI content: it offers no new "information gain," fails to match the brand's voice, and uses robotic tells like em dashes or formal words like "utilize."

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.

To prevent generic AI outputs, treat AI as an assistant, not a replacement. Build prompts that require the user to provide their own perspective before the AI generates content. For instance, an AI tool for writing comments should first ask the user, 'What stood out to you most about this post?' This keeps the human in the loop.