How to Effectively Use AI for Content Generation in B2B
Jan 31, 2024
auto_awesome
Andy Crestodina, Co-Founder & CMO of Orbit Media, discusses how to effectively use AI for content generation in B2B marketing. They focus on defining the target audience, improving AI-generated content through feedback and training, using a style guide, reassessing content strategy, and staying updated with industry trends.
Leveraging AI for content generation in B2B can increase efficiency by 20%, starting with creating a well-informed persona based on detailed information about the target audience.
Iteration and training are crucial when working with AI, requiring ongoing feedback loops to refine and align AI-generated content with brand voice and style.
Deep dives
Using AI for Greater Productivity and Efficiency
One of the main insights from the podcast episode is the value of using AI for greater productivity and efficiency in content strategy. The speaker emphasizes the goal of achieving a 20% increase in efficiency by leveraging AI's capabilities. They recommend starting by providing AI with detailed information about the target audience, including their information needs, challenges, and goals. This helps to create a well-informed persona that can guide content creation. Through ongoing conversations with AI, marketers can gather insights on topics, concerns, and what would be most useful to the audience. The AI can also be utilized for various tasks like running sales scripts and providing feedback on content. Iteration and training are critical for refining AI-generated content and aligning it with brand voice and style.
The Importance of Iteration and Training with AI
The podcast highlights the importance of iteration and training when working with AI. The speaker emphasizes that the initial output from AI may not be perfect and requires refinement. It is crucial to provide feedback and make necessary edits to improve the quality of AI-generated content. Iteration involves an ongoing feedback loop between marketers and AI, continuously adjusting and fine-tuning the generated content based on preferences and requirements. Training AI on brand voice is another key aspect, with the speaker recommending providing a substantial amount of training material, such as articles and headlines, to help AI develop a more accurate representation of the brand's style. Ultimately, through effective iteration and training, marketers can maximize the value and productivity gains from using AI in content strategy.
Reassessing Content Strategy and Addressing Bias
The podcast episode also touches on the importance of reassessing content strategy and addressing biases. Marketers are advised to regularly reassess their content strategy, taking into account customer information and market dynamics. Signs that indicate the need for reassessment include changes in conversion rates, sales objection patterns, or shifts in audience preferences. Additionally, the speaker highlights the concept of bias, suggesting recency bias as an important consideration, particularly for companies seeking product-market fit and refining personas. The speaker recommends monitoring analytics and social media data for real-time feedback. Feedback loops and continuous improvements are key to refining content strategy and ensuring alignment with changing audience needs and preferences.
Andy Crestodina, Co-Founder & CMO of Orbit Media, joins our host, Camela Thompson, Go-To-Market Thought Leader and B2B Insights Expert, in this episode of the Revenue Marketing Report. Andy shares how to use AI for content generation in B2B.