Improve AI content by treating the model as a junior writer. Edit its work directly within the AI platform, providing specific, instructional feedback as you would to a human. This refines both the current output and the agent's future performance.
Don't rely on a single, general AI prompt. Create a portfolio of specialized AI agents, each trained and instructed for a distinct function like prospecting, blog writing, or industry analysis, effectively mimicking a real marketing team's structure.
When using AI for ideation, it's easy to get stuck in one area of the marketing funnel. Proactively map content ideas against a customer lifecycle framework to ensure you're creating a diverse portfolio of content that serves audiences at every stage.
Strategically divide your content efforts. Build an automated AI agent to create the foundational, AEO-focused content that LLMs crawl and cite. This frees up your marketing team to focus on high-value, creative content that truly resonates with people.
Instead of a single massive prompt, construct complex AI agents using a series of smaller, distinct steps or 'nodes' (e.g., research, synthesis, writing). This 'chunking' makes it significantly easier to isolate and troubleshoot failures in the workflow.
When analyzing original research, don't just ask AI for a summary. Prompt it to generate several distinct potential narratives based on the data, explaining the tension in each. This surfaces creative angles you might otherwise miss and allows for strategic story selection.
Instead of vague commands like 'make it better,' feed an AI a poor draft and your manually rewritten, superior version. Then, ask the AI to describe the specific changes (e.g., 'removed inflated language'). This creates a reusable skill or style guide.
Busy executives and VIPs quickly move on, creating approval bottlenecks. To avoid this, use AI to create a draft immediately after an interview. Sending it for review the same day, while the conversation is fresh, dramatically increases the likelihood of a quick sign-off.
To get faster internal buy-in, create a custom AI agent trained on a key stakeholder's past feedback from notes, messages, and document comments. Run new proposals through this 'skill' to frame them in a way that resonates with their priorities before they even see them.
When faced with dense technical reports, avoid asking AI for a simple summary. Instead, read the material yourself and then use AI to clarify specific, confusing concepts. Prompt it to provide a plausible, real-world example of an abstract concept to make it tangible.