To optimize for how AI language models skim content, structure your pages by providing the answer first. Follow with the explanation, then prove your point with data or examples, and finally, expand on the topic. This front-loads the key information, increasing the likelihood of being understood and cited by AI.

Avoid using AI to generate your initial draft, which can produce generic results. Instead, write the first version yourself to ensure your unique thoughts and voice are present. Then, use AI tools as a partner to refine, massage, and improve upon your original work.

AI's best use in content creation is refinement, not initial generation. Use it as a 'thought partner' with prompts like 'remove sentences that don't move the story forward' or 'grade my post on its ability to retain a reader.' This sharpens your message without sacrificing authenticity.

AI-generated text often falls back on clichés and recognizable patterns. To combat this, create a master prompt that includes a list of banned words (e.g., "innovative," "excited to") and common LLM phrases. This forces the model to generate more specific, higher-impact, and human-like copy.

As platforms like LinkedIn become saturated with generic AI content, authentic human voices stand out more than ever. A distinct, personal writing style—even with occasional typos—is becoming a powerful differentiator that cuts through the noise and builds trust.

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.

Instead of asking an LLM to generate a full email, create a workflow where it produces individual sections, each with its own specific strategy and prompt. A human editor then reviews the assembled piece for tone and adds "spontaneity elements" like GIFs or timely references to retain a human feel.

To make content more compelling and less like generic AI output, challenge every adjective. Replace vague words like "fast," "popular," or "recent" with hard data. For example, change "fast" to "11 seconds" or "popular" to "4,200 orders last month." This adds credibility and vividness.

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.