Marketers are under intense pressure to produce fresh content frequently in order to boost SEO and draw in leads. Additionally, generating all that blog content or ad copy can be challenging and time-consuming, especially if you work for a small or midsize company with scarce resources. But you could already have access to a practical answer. Copywriting software that uses artificial intelligence (AI) or machine learning (ML) claims to produce material quickly. But how practical is this program really? And how accurate is the copy?
To assist you in determining whether adopting AI or ML will be beneficial for your business, We polled 185 marketers [*] who are now utilizing these tools for creating advertising, content, or copywriting.
Key Findings
- How well does AI and ML copywriting software perform? According to 82% of marketers, content produced by AI or ML software is on par with or even superior to that produced by humans.
- There isn’t much of a learning curve: In less than six months, according to 57% of marketers, their business learned how to apply AI or ML technologies.
- Data management and implementation are difficult: According to 69% of marketers, implementing AI or ML technology took their business more than six months. Additionally, risk and data management concerns are listed by 35% of marketers as the top technology obstacles.
- Overcoming obstacles rewards off: According to 88% of marketers, their business may save time and money by using AI or ML software. Learn what to watch out for: Nearly 50% of marketers cite AI or ML.
Table of Contents
AI and ML Content Marketing Fundamentals
Over the past few years, marketing has seen a lot of discussion about AI and ML technology. In a nutshell, applying logic-based strategies to content marketing procedures is what is meant by “AI and ML content marketing.” Automation and personalization have received the most of the emphasis. But today, AI and ML have a wide range of applications that directly influence the copywriting process. To aid in the research, development, testing, and optimization of content, several marketers, have begun experimenting with content marketing solutions.
The major objectives of the numerous automated copywriting solutions that have evolved are scaling content creation or enhancing SEO. That’s because writing powered by AI may be completed rapidly while using a lot less resource power.
Why AI is Important for Content Creators
The demand for marketing content remains stable as AI and ML technologies advance and change. In a typical work week, 45% of marketers estimate they spend about half of their time developing marketing content, according to research from us. Over a third devote roughly 75% of their time to content work.
It is clear that producing marketing content—often a labor-intensive process—requires a lot of time. Due to their ability to help busy marketers produce more content more effectively, AI and ML tools have significant ramifications for them.
Based on their unique requirements or company objectives, marketers can carry out a variety of jobs thanks to AI and ML s extensive capabilities. Let’s examine how marketing teams currently use AI and ML in their organizations.
Does Copywriting Using AI or ML work?
If you’re like most people, you might be a little hesitant to use AI or ML for writing. Will the language be artificial or even make sense? Marketers claim that, despite its flaws, AI is doing a good job of writing and speaking like a person. In fact, 77% of marketers agree that AI or ML software generally achieves marketing goals extremely effectively or somewhat effectively. The majority of marketers also report great success with various uses of AI or ML in copywriting or content.
It produces clean or simple-to-read language, according to over half (49%) of users, extremely successfully. Additional areas where the software excels include producing material fast, establishing credibility or trustworthiness, and giving comprehensive or exhaustive content. Marketers must carefully verify the accuracy of AI or ML-generated content, notwithstanding its effectiveness. The lowest level of performance among all attributes evaluated, only a third of users claim that AI copywriting software produces correct or error-free prose with a high degree of success.
The inability of AI to produce original content is another drawback. AI technologies can’t come up with new ideas the way human ingenuity can; instead, they must analyze data that has already been acquired (usually from internet databases). AI-generated material is prone to repetition without understanding the subtleties of presenting high-level topics in the absence of human intervention. Consequently, you cannot ensure that the final product will contain only original content.
Nevertheless, adopting AI or ML copywriting software has several advantages for marketers.
Marketers Benefit from AI and ML
The majority of marketers feel the use of AI has a good impact on their work and that their organization benefits from the time and money the program saves.
Using AI or ML software for marketing has several advantages, but time savings is the main one. It’s also important to note that this advantage comes in significantly higher than cost reductions, demonstrating that marketers place a larger priority on efficiency overall. The improvement of the customer experience is mentioned as a key benefit by almost as many marketers (33%), though.
5 Inquiries to Make While Evaluating AI or ML tools for Content Marketing
A sound management plan is necessary when using AI or ML technologies. Ask the following questions to see if your business is prepared:
- Does your business have reasonable goals for AI-generated content? AI increases efficiency, but it’s not always the best solution. As was already mentioned, it is difficult to produce accurate and original content. The limitations of AI that will necessitate human interaction should be considered by your firm. What format is required for content? Our analysis revealed that short-form written content for the email and advertising campaigns is where AI software excels the most. Before you start, determine if you need short- or long-form content.
- Does my business have reasonable goals for implementation? Implementation can be difficult, as was previously indicated. A company could need to rely on Before beginning, determine whether your content requirements call for short- or long-form content.
- Do my company’s implementation goals seem reasonable? As was already said, implementation can be difficult. To get this software installed and operational, businesses might need to rely on IT support. Before moving forward, think about whether your organization has the IT staffing or support needed for new AI projects.
- Does my business have the resources to audit AI-generated content? It’s crucial to take into consideration the time or materials you’ll need to edit and review articles produced by AI. A person is always needed to keep an eye on things and make modifications.
- Does my organization have a strategy for evaluating the performance and optimization of AI? Your business requires a plan for evaluating the value that AI-generated content adds, in addition to monitoring and modifying it.
Conclusion
AI technology is revolutionizing how we conduct business and is anticipated to keep getting better at performing on par with human speech and creativity. If your objectives match the main advantages of using this software for content marketing—time and money savings—now is a good time to investigate. However, keep in mind that you’ll require some oversight and a well-defined management approach for AI.
Although they won’t replace marketers, AI and ML copywriting tools will undoubtedly make their jobs simpler.
