This can or cannot be AI-generated content, read thoroughly to draw your conclusions!
ChaptGPT debuted in the last week of November and quickly turned into a viral sensation with the world tweeting about its guidelines, streamlining processes to some hilarious jokes about AI art. But it just did not end there, the buzz around this technology was even compared to the debut of the iPhone in 2007 as it crossed one million users in just five days of its launch.
The new AI tech kid in town became overtly famous in a blink of an eye because of its ability to hold human-like conversations. Its ability to identify its own mistakes, correct users’ false assumptions, and reject inappropriate requests helped it acquire multiple fans around the world. Taking the internet by the storm, businesses have started utilizing AI for research and content curation, customer engagement, and content generation.
So, in this article, we will discuss what is AI-generated content and the benefits it can bring to your content marketing funnel!
Standing very true to its name, AI-generated content is simply written by an AI bot. Its capability of creating narratives through Natural Language Processing (NLP) enables it to write business propositions/ reports, schedule content, offer personalized product recommendations, and predict consumer behavior.
With this buzz around AI-generated content, it will be very difficult in the near future to predict whether a piece of content is AI-generated or not. The UK Press Association has assigned AI the task of writing 30,000 local news stories per month. According to a report, more than 18 percent of North American marketers have signed up for AI in content creation whereas 23 percent use it for creative and design purposes. Such huge statistics in a short span of time denote that AI-generated content has acquired a significant place in the marketing realm.
The Three-step Process
Content Intelligence is the subset of AI that leverages capabilities to help marketers create compelling posts and get researched-backed advice. This process is done in three simple steps:
- Data Collection: The first and foremost step is where AI gathers data from CRM, surveys, social media results, website visitor behavior, and other relevant sources of information.
- Analysis: In the second stage, AI analyzes and interprets the data to find trends and patterns.
- Insights and Recommendations: The last step in generating content is to develop insights to modify the content and make it more effective and valuable to your target audience. It may also predict trends so you can boost your content ROI in the long term.
But the real question lies in asking, what are the pros and cons of AI-generated content?
Pros of AI-generated content
Efficiency and Scalability: One of the biggest benefits of AI is that it can create content much faster than people. Where humans would take much longer to do research and write articles, AI tools can produce the same within minutes. Multiplying this quick turnaround in minutes, AI tools can significantly produce large amounts of content.
Cost-effectiveness: The entire process of generating high-quality content usually requires a lot of investment. Typically, content creators charge a few hundred dollars for every project. And this may be well spent especially by opting for AI writing tools that charge less subscription rate as compared to high-quality content writers.
Improving SEO: AI tools run through thousands of online documents to absorb the relevant information. By scrolling through all these documents, tools chose keywords to improve search engine optimization.
The generators can suggest keywords for content writing and thus the content appears higher in search engine ranking if it follows the set guidelines.
Cons of AI-generated content
Quality Concern: Search engines may red flag the AI-generated content as it is similar to published content causing issues of possible plagiarism. AI can also club content together without checking its flow and this process is against Google’s stitching and combining content guidelines. The content may also not be authoritative and informative as it is pieced from various sources with proper human review.
Lack of Creativity and Personalization: A creative connotation to articles makes them interesting and engaging for readers. But as AI lacks emotional intelligence to create a story, readers won’t feel connected and driven to read the entire article. Also, these tools completely rely on the available web content and data in building a new piece of content, thus lacking a new creative approach to the same topic. It also doesn’t understand user intent for queries and has no sense of human behavior.
Human Editing is Required: People still cannot completely rely on AI-generated content; it still needs a lot of quality checks and human intervention. AI tools can mix up content such as product descriptions with textures and colors as it lacks an understanding of adjectives.
Wrapping Up
As we wrap up this discussion on AI-generated content in 2023, it is essential to note that while AI has come a long way in creating content, it is still not a perfect substitute for human creativity and intelligence. AI-generated content has limitations, and it can sometimes lack the emotional and cultural nuances only a human can provide.
Moreover, there are still ethical considerations that need to be taken into account when it comes to AI-generated content, such as ownership and accountability for the output.
However, it is undeniable that AI-generated content has opened up new possibilities and efficiencies in content creation across various industries, and it will continue to do so in the future. As technology continues to advance, we can expect even more sophisticated and personalized content that caters to individual preferences and interests.
Ultimately, the future of AI-generated content lies in striking the right balance between AI automation and human input, to ensure that we continue to produce high-quality and engaging content that resonates with audiences.
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