The use of artificial intelligence in marketing is rapidly increasing. In 2021, the global AI market in the marketing industry was valued at $15.84 billion and is projected to reach $107.5 billion by 2028. A significant driver of this growth is the rising use of AI to generate content.
Despite its rapid development, AI-generated text using natural language processing is still evolving. While AI can produce text that sounds human-like, it requires careful review and editing to ensure it meets high-quality standards and engages your audience effectively.
Your team must thoroughly evaluate any content generated through a generative AI tool, making necessary revisions to align with your brand’s voice and audience expectations. This guide will help you determine the quality of the content output, decide if it’s right for your needs, and implement best practices to maximize its potential. By understanding this practice, you can effectively enhance your content strategy and stay competitive.
In This Article:
Understanding AI-Generated Content
AI-generated content refers to any kind of text or media created by artificial intelligence algorithms. This technology leverages natural language processing (NLP) and machine learning to produce content that mimics human writing.
The primary aim is to assist or even replace human writers in creating articles, blog posts, product descriptions, social media updates, and more. In fact, 82% of marketers say that AI-generated content is just as good or better than human-generated content.
Source: Capterra
Definition and Types of AI-Generated Content
AI-generated content is produced by systems trained on vast amounts of data, allowing them to generate text based on patterns and structures learned from this data. These systems can create different types of content, including:
- Articles and Blog Posts: AI tools can draft full-length articles, generating coherent narratives on various topics.
- Product Descriptions: AI can write detailed descriptions for e-commerce sites, ensuring consistency and speed.
- Social Media Posts: AI-generated social media content can help maintain an active online presence by creating posts tailored to specific platforms.
- Personalized Content: Using data analysis, AI can create personalized messages for email marketing, enhancing user engagement.
Utilizing an AI content creation and governance platform can significantly help produce high-quality AI-generated content across various formats. By leveraging the advanced capabilities of generative AI platforms like Writer, organizations can improve the efficiency and consistency of their content production processes.
Common Uses in Various Industries
AI-generated content is becoming increasingly popular across several industries:
- Publishing: News agencies and content platforms use AI to write news articles and reports, especially for routine coverage.
- Healthcare: AI generates informative content for patients, such as articles on health conditions and treatment options.
- E-commerce: AI tools generate product descriptions and recommendations, improving user experience and sales.
- Marketing and Advertising: Marketers use AI to produce copy for ads, landing pages, and email campaigns.
Source: Capterra
How AI-Generated Content Works
AI-generated content is powered by natural language processing (NLP) and machine learning:
- Natural Language Processing (NLP): NLP enables computers to understand and generate human language. AI models like GPT-3 are trained on vast datasets of text, learning grammar, vocabulary, and contextual usage.
- Machine Learning: This involves training algorithms on large datasets to identify patterns and generate predictions. In the context of content generation, machine learning models analyze existing text to create new content that mirrors the input data.
By utilizing these technologies, AI can produce content that is not only grammatically correct, but also contextually relevant. However, it’s essential to remember that while AI can handle large volumes of content quickly and efficiently, it still requires human oversight to ensure quality, accuracy, and creativity.
Evaluating AI-Generated Content
Evaluating generative AI content is crucial to ensure it meets your quality standards and aligns with your brand’s voice. Here are the key criteria and tools to consider.
Criteria for Assessing Quality
- Relevance and Accuracy:
- Ensure the content accurately reflects the topic and provides valuable information.
- Verify facts, data, and references to maintain credibility and reliability.
- Readability and Engagement:
- Assess the content for clarity and ease of understanding. Use readability scores to measure complexity.
- Evaluate the content’s ability to engage readers. It should be interesting and hold the audience’s attention.
- Consistency with Brand Voice and Style:
- The content should match your brand’s tone, style, and messaging guidelines.
- Consistency in voice helps build brand identity and trust with your audience.
Tools and Metrics for Evaluation
Several tools and metrics can help you evaluate AI-generated content effectively:
- Grammar and Spelling Checkers: Tools like Grammarly can help identify and correct grammatical errors, ensuring the content is polished and professional.
- Readability Scorers: Tools such as Hemingway App or Yoast SEO can measure the readability of the content, suggesting improvements for better comprehension.
- Plagiarism Checkers: Tools like Copyscape or Turnitin can detect duplicate content, ensuring originality and avoiding potential SEO penalties.
- Content Scoring Platforms: Platforms like Clearscope or MarketMuse analyze content for SEO performance, providing insights on keyword usage, content depth, and relevance.
At Divvy, we provide comprehensive tools to help you manage and optimize your entire content process, including integrations with generative AI tools. Our platform ensures that your content is accurate, engaging, and consistent with your brand voice, enabling you to maintain high-quality standards across all your marketing efforts.
Examples of Successful and Unsuccessful AI-Generated Content
Successful Example:
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A leading e-commerce site uses AI to generate product descriptions that are not only accurate and detailed but also tailored to improve search engine rankings. The AI tool analyzes top-performing keywords and integrates them seamlessly into the descriptions, leading to higher visibility and increased sales.
Unsuccessful Example:
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A news website attempted to use AI to generate breaking news articles. However, the AI produced several errors, including misinterpreted facts and awkward phrasing, leading to a loss of credibility. This highlights the importance of human oversight and editing in ensuring the quality of AI-generated content.
By using these criteria and tools, you can effectively evaluate the quality of the content, ensuring it meets your standards and enhances your content strategy.
Should You Use AI-Generated Content?
The decision to use AI-generated content depends on various factors, including your specific needs, resources, and objectives. Here, we explore the pros and cons of AI-generated content to help you make an informed decision.
Source: SocialPilot
The Pros
- Efficiency and Time-Saving: AI tools can produce large volumes of content quickly, reducing the time required for content creation. This efficiency allows your team to focus on higher-level tasks such as strategy and creative planning.
- Scalability for Large Content Needs: AI-generated content is ideal for scaling content production, especially for large websites or businesses with extensive content requirements. It can help maintain a consistent publishing schedule without overburdening your team.
- Data-Driven Insights and Personalization: AI tools can analyze vast amounts of data to generate content tailored to specific audiences.Personalized content can improve user engagement and conversion rates by addressing individual preferences and behaviors.
The Cons
- Potential for Errors and Inaccuracies: AI-generated content can sometimes include factual errors, misinterpretations, or awkward phrasing. These inaccuracies can harm your brand’s credibility and require thorough editing and review.
- Lack of Creativity and Human Touch: AI lacks the ability to create truly original and creative content that resonates on an emotional level. Human writers bring unique perspectives, creativity, and storytelling skills that AI cannot replicate.
- Ethical Considerations and Authenticity: The use of AI-generated content raises ethical questions about transparency and authenticity. Audiences may feel deceived if they discover that content they believed to be human-authored was generated by AI.
Factors to Consider When Deciding to Use AI-Generated Content
To determine whether AI-generated content is right for you, consider several factors.
First, evaluate your industry and audience expectations. Some industries, such as finance and healthcare, require high levels of accuracy and human insight, making AI-generated content less suitable. It’s essential to understand your audience’s expectations regarding content authenticity and quality.
Next, define your content goals and objectives, whether it’s to increase traffic, improve engagement, or generate leads, and assess how generative AI can support these objectives.
Finally, consider your resources and budget constraints. While AI tools can be cost-effective for producing large volumes of content, they may require investment in quality control and editing to ensure the content meets your standards.
Case Studies and Real-Life Examples
Case Study:
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A technology blog implemented AI to generate daily news updates. The AI tool efficiently produced timely and accurate news articles, freeing up human writers to focus on in-depth analysis and feature stories. This combination improved overall content quality and increased reader engagement.
Real-Life Example:
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A fashion retailer used AI to create personalized product recommendations and descriptions. This content enhanced the shopping experience by providing tailored suggestions, leading to higher customer satisfaction and increased sales.
Questions to Ask Before Integrating AI Into Your Workflow
- What specific content needs do you aim to address with AI?
- How will you ensure quality and accuracy?
- What level of human oversight and editing will be required?
- How will AI-generated content align with your brand voice and style?
By weighing the pros and cons and considering these factors, you can make a strategic decision on whether to integrate AI-generated content into your content strategy.
Best Practices for Using AI-Generated Content
Integrating AI into your strategy requires careful planning and execution to ensure quality and authenticity. Here are some best practices to help you get the most out of AI-generated content.
Blending AI with Human Creativity for Optimal Content
While AI can efficiently produce content, human oversight is essential to maintain quality and creativity. A balanced approach leverages the strengths of both AI and human writers. Use AI for tasks that benefit from automation, such as:
- Generating product descriptions
- Social media updates
- Data-driven reports
Reserve human writers for content requiring a creative touch, in-depth analysis, or emotional engagement.
AI-generated drafts can serve as a starting point, with human editors refining and enhancing the content to ensure it meets high standards and resonates with the audience. This collaboration combines AI’s efficiency with the unique perspectives and creativity of human writers, resulting in high-quality, engaging content that aligns with your brand’s voice and style.
Ensuring Quality and Authenticity
To ensure quality and authenticity, implement regular audits and evaluations of your AI content output. Establish clear guidelines and standards that the output must meet. These standards should align with your brand’s voice and style, ensuring consistency across all content.
Regularly review the content to catch any errors, inaccuracies, or awkward phrasing that may have slipped through. This step is crucial to maintain your brand’s credibility and trustworthiness.
Staying Updated with AI Advancements and Trends
The field of AI is continually evolving, with new tools and technologies emerging regularly. Stay informed about the latest advancements and trends in generative AI to ensure you are using the most effective and up-to-date tools.
By keeping abreast of developments in AI, you can continually improve your content strategy and stay ahead of the competition. Experiment with new AI tools and techniques to find the best fit for your needs and goals.
Elevate Your Strategy with DivvyHQ and AI-Generated Content
AI-generated content has the potential to revolutionize your content strategy by offering efficiency, scalability, and personalized insights. However, integrating AI into your content creation process requires careful consideration of its pros and cons, thorough evaluation, and adherence to best practices to maintain quality and authenticity.
DivvyHQ’s content operations platform redefines simplicity and efficiency in managing AI-generated content. With its central hub and AI tools integrations, your teams have everything they need to ideate, create, and analyze content performance, all in one place. This allows your team to focus on producing high-quality content rather than juggling multiple tools.
When you need a content operations solution that incorporates AI, automation, an open API for seamless integrations, and custom analytics, DivvyHQ has you covered. Request a demo to see firsthand how DivvyHQ can enhance your content strategy with our industry-leading capabilities.
