With the current trends in digital marketing, AI has emerged as a key element in the arsenal of many CMOs. It helps to automate processes; it helps to make sense out of data and affects marketing processes in many more ways. However, there is some debate when it comes to the use of AI and that is about content creation especially for SEO purposes. For many CMOs who have turned to generating content with the use of AI, this is usually the bone of contention as many people do not believe in the viability, quality, and safety of such content. In this blog, we will review the reasons why the given practice is curved towards the CMO and its implication in the general concept of SEO and more so, white label SEO services.
The Appeal of AI in Content Creation
AI writing software like ChatGPT, Jasper, Copy.ai, etc. have come to the rescue of those engaging in bulk content production like never before. For CMOs who have to keep delivering optimized content for search engines, this is quite a compromise that the AI presents to the chief marketing officer. It will produce blog posts, descriptions for the products, and social media content in a matter of a few minutes using the templates that are programmed.
From an SEO perspective, issues such as speaking to audiences through content, and knowing readers’ views from audiences can prove to be relatively easy. AI will offer businesses the content generation on a large scale much desired in any SEO, more so to white label SEO providers where clients’ work requires consistency within deliverables.
Why AI Content Raises Concerns
In spite of these powers in enhancing efficiency in tasks, inappropriate use of creating content through AI tools is starting to cause alarm within the stakeholders. Here are the concerns that are argued out the most:
Lack of Authenticity and Creativity
AI generated material is accurate as per the definition of the subject and its placement of keywords, the human edge in content writing is always missing.
Risk of Duplicate Content
There is a high chance that the AI systems will continue taking information from the same set of datasets and though they will be producing unique alterations, there will always be the danger of having the same content or almost the same.
Loss of The Brand Voice
Every brand has a certain voice that speaks to its target market. As content production is solely left in the hands of AI, this brand voice can easily get lost in the mux.
The Role of AI in White Label SEO
Where businesses today are providing white label SEO services, there has to be an appropriate use of AI and human beings consequent to the demands of the job. In white label SEO, SEO solutions are developed for other companies but under the brand of another company. This requires a specific method of developing the content as the direction from different customers would be quite different. This is equally possible since AI can perform the tasks of keyword generation and technical SEO, unlike human writers who are effective in creating good content for a branded purpose.
Finding the Right Balance
In light of the criticisms and possible risks in creating content relying mainly on AI, it is obvious that CMOs and digital marketing leaders need to strike a balance. Here’s how they can do so:
Human Oversight
As useful as AI can be, human oversight is always necessary. People working in marketing should proofread AI content provided before publishing any documents to check tone, creative and content accuracy.
Use AI as a Support Tool
Marketers can redirect the energy of creating content through the use of AI to the readers, providing more in-depth and fresher topics with creativity and more interesting stories.
Conclusion
Even though AI plays an important role when it comes to content marketing, content marketing managers need to be aware of the drawbacks discussed above, which pertain to the use of AI in SEO. The white label SEO service providers and CMOs need to be very careful so that content created through AIs does not become overly relied on. An effective way to avoid the pitfalls of low content quality would be to embrace a middle ground where customers’ fundamental concerns are taken care of but also have recourse to AI for creative input.