Generating content with artificial intelligence (AI) has become common practice for many businesses looking to optimize their online presence and engage their audience more effectively. However, this technology presents both opportunities and challenges. This article explores how AI can enhance content creation while highlighting pitfalls to avoid.
Detecting 100% AI-Generated Content
Your customers seek expert content with concrete examples and human expertise that adds depth and credibility to your texts. Discerning readers and search engines are increasingly able to identify standardized content and deem it less relevant.
For example, some recent articles on AI in marketing may seem lacking in substance. Though the text is sometimes repetitive, it could often be summarized in a few paragraphs instead of being unnecessarily prolonged. This can damage the perception of the company’s credibility rather than showcase its expertise.
Many companies focus primarily on SEO-driven content production, which can sometimes lead to a decline in quality and authenticity. Search engines, becoming increasingly sophisticated, can now distinguish between genuinely useful content and articles optimized solely for keywords. Thus, content that does not reflect true expertise may be perceived as less reliable by both readers and search engine algorithms, compromising the site’s authority.
AI to Support Writing, Not Replace It
AI should be seen as a tool to augment human writers’ capabilities. It can provide solid foundations, ideas, and even help structure an article. However, the human element remains crucial for revising, enriching, and adapting this content to ensure its relevance and quality.
In discussions with marketing experts, it’s clear that AI has a significant impact. Rather than saying AI saves 80% of their time, they prefer to state that AI reduces writing time by 20% while increasing quality by 80%.
A concrete example highlights the risks associated with exclusive use of AI without adequate human intervention. A Quebec-based company published an article with several repetitive paragraphs and references that did not account for the local context. For instance, the article used terms like “Euro” and “shopping,” which are European French terms, instead of the more locally appropriate terms used in Canadian French. This disconnect underscores the importance of supervising AI-generated content to ensure it is well adapted to local specifics and customer expectations.
AI for Translation
For several years, solutions like Google Translate have facilitated text translation. AI translation tools, such as those developed by OpenAI or DeepL, offer more natural and contextually appropriate translations. They come closer to what a human could write and can understand and translate idioms and expressions. However, as with writing, it’s essential to allocate time for reviewing translated texts to ensure their accuracy and quality.
AI at Dialog Insight
For several months, our teams have been actively developing integrated tools within our platform to better support our users. Whether for content generation or translation, these features are now directly accessible on the platform, making it easier to write and translate objects and content for our clients. For those with a multilingual clientele, using a simple tool to program a message and translate it with one click undeniably saves time and money. No more tedious copy-pasting in small windows.
Conclusion
We leave it to ChatGPT to propose two conclusions that resonate with the content of this article.
- Generative AI offers fascinating possibilities for content creation, particularly in terms of time savings and quality improvement. However, it is crucial not to rely solely on technology. A balanced approach that combines AI automation with human expertise is essential to produce relevant, authentic, and high-quality content. Companies must pay attention to contextualizing and adapting their content to meet the expectations of their target audience and avoid potentially costly mistakes.
- Generative AI provides tremendous opportunities for content creation, but it must be used wisely. The balance between automation and human intervention is crucial to producing high-quality articles that resonate with the audience and meet search engine criteria. Ultimately, the goal is to produce content that is informative, relevant, and authentic.
Do you agree with these conclusions proposed by the AI? How do you evaluate the relevance and clarity of the generated content?
