The future of digital marketing in terms of opportunities and risks with AI-powered language models.
The future outlook of digital marketing seems to be rapidly evolving with the rise of AI-powered language models like ChatGPT and Bard. These tools have the potential to revolutionize the way we create content and interact with search engines. However, they also come with new challenges and risks that marketers need to be aware of. This article was mainly researched and formed by AI, however it was improved with several effective prompts from a human, iterating to obtain a reliable useful article. It was also edited, rearranged, and improved by a human before publishing. The secret sauce for the success of the article has to be added by no robot, and perhaps the heavy lifting may be performed by AI for tasks like formatting, selection of writing style, research of related topics, points to include that are mentioned in prompts, putting subtopics into paragraphs, etc.
AI-generated content can be used to create more personalized and relevant content that resonates with target audiences. By analyzing customer behavior and preferences, AI tools can help marketers identify the most effective marketing strategies and tactics for their businesses. However, overreliance on AI-generated content can lead to a lack of creativity and originality in marketing campaigns. Therefore, content must be revised, partially modified and perhaps rewritten. Additions must be made by the author to make it coherent and fluid for readers. We must keep in mind that it is not clear how search engine crawlers will rank content created by language model AI.
To ensure that AI-generated content is optimized for search engines, webmasters and digital marketers need to conduct keyword research to identify the most relevant and high-traffic keywords for their content. They should also optimize their content for the identified keywords by including them in the title, website meta code for description, headings, and body of the content. Building high-quality backlinks to your content from other authoritative websites can also help improve SEO rankings. For now, these multiphase tasks can’t be solely relied upon AI to bring them together, although it can be a priceless tool to assist us in doing so.
It seems search engines will evolve with this new technology. Bing Chat has already started suggesting websites based on prompts and questions directed at it. This could shape the future of digital marketing. The new goal may be to be one of the websites that the AI chat suggests, rather than appearing on the first page of search results. Paid advertising may also take on a new shape and be revolutionized by this technology in the near future.
There are still several unresolved issues associated with using AI in digital marketing. For example, there are concerns about machine learning bias or AI bias. Sometimes machine learning algorithms give results that are unfairly in favor or against someone or something. It’s called machine learning bias or AI bias, and it’s a pervasive problem with even the most advanced deep neural networks. Another unresolved issue associated with using AI in digital marketing is “martech” (marketing technology) issues. According to Gartner’s 2023 CMO Spend & Strategy Survey, nearly two-thirds plan to invest in generative AI tools in the next 24 months, yet just a third have used their current “martech” capability so far this year. As use declines, there is increasing pressure to optimize costs.
A well-known risk associated with using AI in digital marketing is plagiarism. While AI-generated content is not plagiarized by definition, it can be used to create content that is similar to existing content, which can be problematic if the original author's work is not properly attributed. The materials on which the AI models train are produced by several human creators and authors that must be properly attributed. For example, students who compose an assignment paper gather information from books they have paid for, and they must include references to the sources used. Even a book checked out from a library and summarized gets source credit by being referenced by name, author and year. Legal and ethical concerns are also a major risk associated with using AI in digital content marketing. The use of AI in digital marketing raises several legal and ethical concerns, including data privacy, intellectual property rights, and transparency. As consumers become more aware of data privacy concerns, it will be important for content creators to ensure that AI is collecting data in a transparent and ethical manner.
In conclusion, AI-powered language models like ChatGPT and Bard have the potential to revolutionize the world of digital marketing by helping marketers create more personalized and relevant content that resonates with their target audience. However, this new technology also comes with new challenges and risks that marketers and designers need to be aware of. By embracing and optimizing AI-generated copywriting material for increasing sales and improving SEO purposes, web designers and digital marketers can take advantage of this new technology while minimizing its risks.
