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How to Scale Up Content Production with AI | Tips, Tricks, and Examples

The Content Conundrum: Quality vs. Quantity


Did you know that 91% of B2B marketers use content marketing to reach customers? Content is the one of the easiest ways to market your offerings, but it comes with its own host of challenges, mainly around maintaining quality while increasing quantity. With most social media algorithms demanding at least 3-5 posts a week for optimal reach, it quickly becomes difficult to scale up content while still ensuring the quality stays the same. 


AI can help you scale up your content production workflow, but it comes with a set of challenges that are easily remedied with some ground rules to keep in mind. 


This blog will guide you through the process of scaling up content production with AI while avoiding common pitfalls and maintaining the human touch that makes content truly engaging.

In the following sections, we'll explore the capabilities and limitations of AI in content creation, discuss how to build an effective AI+Human workflow, and showcase an example of how you can use AI to help you write ten high-quality blogs in just one hour. 


Let’s get started. 


Understanding What AI Can and Cannot Do

Before we explore how you can scale content production with AI, you need to understand what AI can and cannot do


AI excels at tasks such as:

  • Analyzing large datasets to identify trending topics and keywords

  • Generating content outlines and first drafts

  • Proofreading and basic editing

  • Optimizing content for search engines

  • Personalizing content for different audience segments


However, human intervention is still necessary for:

  • Developing creative and original ideas

  • Crafting compelling narratives and storytelling

  • Ensuring brand voice consistency

  • Adding emotional depth and nuance to content

  • Making complex judgments and strategic decisions


Apart from these inherent issues with AI content, there are also other common challenges that teams face when using AI for content production. These include:

  • Maintaining adherence to brand voice and brand guidelines, 

  • Ensuring that the AI created content is original 

  • Training team members to bring AI into their workflows

  • Implementing quality control processes keeping AI in mind.


To address these issues, consider the following strategies:

  1. Ensure your AI content follows brand guidelines and incorporates company knowledge.

  2. Implement plagiarism checks and human review processes to ensure originality.

  3. Invest in comprehensive training programs for your team to effectively use AI tools.

  4. Establish clear quality control workflows that combine AI assistance with human oversight.


If you want to use an AI platform that already takes care of all of these things for you, try Yarnit. Our platform’s Brand Hub provides a centralized place to put all your brand guidelines and company knowledge. This information is used to infuse your content with context to help you drive your marketing outcomes. 



Our full-featured editor also encourages humans to interact with the generated content to bring out the human touch. What’s more, Yarnit also offers round-the-clock support and training programs to get your team up-to-speed with the AI curve.  


Remember, the goal is not to replace human creativity but to augment it. AI should be seen as a powerful tool that frees up time for content creators to focus on higher-level tasks such as strategy, creativity, and audience engagement. 


Building an AI+Human Content Workflow

To effectively scale content production with AI, it's essential to develop a robust AI+human workflow. Here’s how you set the groundwork for an AI+human workflow.

 

  • Assess your Needs and Resources: This process begins with prioritizing your content needs and assessing your resource requirements. Start by documenting your existing processes extensively, as this will allow for easier scaling and onboarding of new team members in the future.

  • Audit your Existing Content Process: conduct a thorough audit of your current content production process to identify bottlenecks and inefficiencies. Select appropriate tools and establish standard operating procedures to address these issues. 

  • Define your Success Metrics: This is also an opportune moment to define your success metrics, ensuring that your scaled content efforts align with your overall marketing goals. Standardize your content framework with the bigger picture in mind. Consider your long-term content goals and distribution methods. 

  • Define Roles and Responsibilities: Governance is a critical aspect of scaling content production. Clearly define roles and responsibilities within your team, like who will give final approval, who is in charge of humanizing the content, and who will track KPIs. 

By following these steps, you'll ensure that your content engine runs smoothly and efficiently, even as you scale up production. Here are some examples of how you can start using AI in different parts of your content workflow. 


Remember that scaling content production is not just about creating more; it's about creating smarter. Use AI to handle repetitive tasks and data analysis, freeing up your human team members to focus on strategy, creativity, and building meaningful connections with your audience.


This symbiotic relationship between AI and human expertise is the key to producing high-quality content at scale.


Yarnit: Your AI-Powered Content Production Ally

Now that we've established the foundations of scaling content production with AI, let's explore how Yarnit can help you in every step of your content creation process. With Yarnit, you can write ten high-quality blogs in just one hour, dramatically increasing your content output without sacrificing quality.


Yarnit's comprehensive suite of features takes much of the guesswork out of content strategy. Here's a step by step process to launch your next campaign on Yarnit: 

  1. Step 1: Keyword Insights: Start by utilizing Yarnit's powerful keyword analysis tool. This feature helps teams make informed decisions about content topics and SEO strategies, ensuring that your content aligns with what your audience is searching for.

  2. Step 2: My List: This collaborative feature allows teams to share keyword lists across their workspace, fostering better communication and alignment on content priorities.

  3. Step 3: Content Ideas App: Transform your keyword insights into brand-ready and SEO-optimized content ideas. This app not only generates blog topics but also suggests ideas for social media posts and other content formats, creating a cohesive content strategy across all channels.

  4. Step 4: Context Booster: When creating blog posts, Yarnit's Context Booster feature adds company-specific knowledge without the need for extensive fact-checking, ensuring that your content remains accurate and on-brand.

  5. Step 5: Calendar Feature: Get a bird's-eye view of your content schedule with Yarnit's calendar feature. This allows your entire team to see what content is being published when, enabling last-minute tweaks and ensuring a consistent content flow.


By integrating Yarnit into your content workflow, you can dramatically increase your content production while maintaining quality and consistency. The platform's AI-powered features handle the time-consuming aspects of content creation, allowing your team to focus on strategy, creativity, and audience engagement.Remember, the goal is not to replace human creativity but to enhance it. Yarnit provides the tools and insights needed to scale your content production efficiently, while still leaving room for the human touch that makes content truly resonate with your audience.


Embracing the Future of Content Production

As we've explored throughout this blog, scaling content production with AI is not just about producing more content—it's about producing smarter, more effective content that drives real results for your business. By understanding the capabilities and limitations of AI, building a robust AI+Human workflow, and leveraging powerful tools like Yarnit, you can transform your content marketing efforts and stay ahead in today's fast-paced digital landscape.


As you embark on your journey to scale content production with AI, keep these key takeaways in mind:

  • Start with a solid content strategy and clear goals

  • Document and optimize your processes

  • Invest in the right AI tools that align with your needs

  • Maintain a strong governance structure

  • Continuously analyze and refine your approach


The future of content marketing is here, and it's powered by the synergy between AI and human expertise. By embracing this new paradigm, you can create more content, reach wider audiences, and drive better results for your business.


Ready to take your content production to the next level? Consider giving Yarnit a try. With its comprehensive suite of AI-powered tools, Yarnit can help you dramatically increase your content output while maintaining the quality and consistency your audience expects. Don't just keep up with the content demands of today—prepare for the content needs of tomorrow with Yarnit.


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