Tasks that AI Can Effectively Solve in Content Generation
Discover how AI technologies are revolutionizing the content creation industry (from market research, generating marketing assets, optimizing content posting, and more)
Businesses worldwide have been using Artificial Intelligence (AI) to automate their operations for quite some time. However, it officially claimed the front seat of business management when managers started using it for content creation. AI content creation is now so famous that almost 90% of online content is projected to be AI-generated by 2026. In this blog, we'll look at how AI revolutionized the content creation industry.
The Trend of AI Content Generation
According to Statista, the AI market currently has a market value of $100 billion and is expected to grow up to 2 trillion by the end of 2030. While this market consists of numerous business functions ranging from logistics to revenue management, 80% of industry experts are now integrating some form of AI technologies into their marketing activities.
As of 2021, there are 4.26 billion active social media users globally, each estimated to spend an average of 2 hours and 31 minutes daily on their social media accounts. Because of people's growing inclination toward social media, the AI market for social media is anticipated to reach $3,714.89 million by 2026. These figures are for social media networking platforms alone. As of 2020, 96% of consumers increased their online video consumption. In fact, nine out of ten viewers expect to see videos from brands and businesses before making a purchase.
The increasing demand for content marketing ultimately led to the need for automated content generation. AI tools allow marketers to streamline an efficient content creation process, including audience research, content planning, content creation, customer targeting, and more. The range of marketing assets AI can create is limitless, ranging from blogs, social media posts, videos, and more.
AI's Effectiveness in Content Generation Tasks
Undoubtedly, AI has thoroughly evolved to create compelling content that could resonate with various market audiences. To understand the AI content generation process, let's look at Natural Language Generation (NLG) and data-driven content insights.
Natural Language Generation
The launch of ChatGPT in November 2022 has skyrocketed the popularity of AI-led content creation. The AI tool produces human-like texts from its massive database using Natural Language Generation (NLG) technology. Because of NLG, AI tools can now automate the creation of news articles, product descriptions, reports, and other long-form content. In fact, AI tools are now capable of cutting content writing time by up to 60%, as they can generate up to 2,500-word blog posts in approximately 10 minutes.
Aside from its ability to automate the writing process, NLG algorithms also allow AI tools to adapt the tone, style, and language use of the target audience. The algorithms enable them to convey brand personality and even human emotions based on prompts and previous data inputted into the system. While AI tools are still far from fully emulating purely human-generated content, they can now produce marketing assets that require minimal improvement from marketers.
Most importantly, businesses can now generate multilingual content for global markets. Multilingual NLG incorporates linguistics, computer science, and artificial intelligence in processing and analyzing large amounts of natural human language in various contexts. This is very crucial for businesses, as this doesn't just allow you to improve your marketing strategies but also opens an opportunity for worldwide scaling.
Data-Driven Content Insights
Aside from creating human-like marketing assets through NLG, AI content creation also deploys data-driven content insights to create assets that help businesses hit their targets.
Businesses can examine enormous amounts of customer and market data to identify trends that may influence consumers' decision-making process. By analyzing purchasing patterns of your target audience, you can create personalized offers that can drive better conversion rates.
Aside from this, data science can allow businesses to extract actionable insights for content optimization and strategy. Now that the internet is brimming with numerous ads and other marketing content, proper targeting is now the key to producing actual results that may drive revenue. 46% of businesses are now performing search engine optimization (SEO), while 37% are prioritizing research-driven content.
Above everything else, AI tools are deemed to be really helpful when it comes to ensuring marketing ROI. Through AI, businesses can create marketing decisions based on actual data. People can now say goodbye to creative outputs that are not based on any customer or market insights. Furthermore, organizations can maintain their competitive edge by utilizing AI in content development to ensure their assets are customized to their audience preferences, leading to higher conversions.
Benefits of Proprietary AI Technologies in Content Generation
Optimization is the key to being noticeable to your customers in a current market overflowing with content. For this reason, it's highly recommended to use Proprietary AI technologies to generate content that will resonate with your audience. While Generative AIs are powerful, they are prone to producing generic content that doesn't drive ideal results for businesses.
Here are some of the benefits enjoyed by businesses using proprietary AI technologies:
Tailoring AI solutions to specific business needs
Proprietary AI technologies tailor-fit their solutions to the content needs of businesses. While open-source AI technologies have good NLG algorithms, having a linguistic model that's specifically trained to encapsulate your brand identity can allow you to create marketing contents that will not just drive sales but will strengthen your brand identity. For instance, content for retail businesses is expected to rely on audience perception, while technology companies market their products through information. Proprietary AI technologies can consider these kinds of industry metrics in producing content plans.
Aside from this, proprietary AI technologies offer specialized databases that can generate better marketing insights. This will give you better, data-driven actionable insights to make the most out of your marketing assets.
Improved efficiency and productivity in content creation
The rise of micro entertainment platforms such as Tiktok, Youtube Shorts, and Instagram reels created a huge demand for content. In fact, 54% of businesses have increased their content marketing budgets for 2023 to remain a competitive edge in the market. While it may sound like an advantage for marketers, it may lead to an eventual brain drain among creatives, which may significantly affect the content production process of a company.
For this reason, businesses need to create a highly efficient and productive content-creation process that will not just allow companies to hit their targets but would also allow creatives to focus their brainpower on more vital marketing areas. This can be done by allowing Proprietary AI technologies to automate and simplify some simple content creation tasks, such as lead scraping, content posting, and more.
Enhanced quality and consistency of generated content
Open-source AI technologies need a massive database to be fully functional. Because of this, they usually use inconsistent and erroneous databases, which may produce faulty results. This can be critical for businesses as biased content may lead to legal and ethical issues that may significantly affect the brand's name.
On the other hand, companies that offer Proprietary AI technologies minimize such risks by running methodical research and data collection strategies when creating their database. Numerous quality control procedures further ensure the accuracy of the data used on the algorithms to guarantee that the system will produce high-quality content. The best part is that clients or businesses can even supervise these quality control procedures to do firsthand evaluations of all the data and algorithms within the AI solutions. Thus, it ensures that everything within the AI tool, from its database to its results, would be consistent with its business goals.
Increased customization and personalization options
There's no denying that personalization is now the key to an effective marketing strategy. Recent surveys suggest that 80% of consumers are more likely to purchase from a company that provides tailored offers, and 72% of customers are more likely to engage in personalized messaging. Because of this, businesses should also run customized solutions and infrastructures based on their target market.
While emerging generative AI technologies can also offer a certain level of customization, they can only go as far as personalizing messaging based on user prompts. This means that marketers would still require full supervision to generate personalized content for customers. On the other hand, Proprietary AI solutions, specifically designed based on a business's consumer information, can even generate personalized and targeted content on auto-pilot.
Streamlined collaboration and workflow management
All kinds of businesses need an efficient collaboration process and workflow management to ensure productive operations. In terms of content creation, there's a need for the marketing team to connect with other organizational units to ensure that all assets are created and deployed to hit certain business goals. 93% of marketers agree that collaboration across marketing and data analytics teams is essential.
A good AI marketing tool can allow creatives, market heads, and data scientists to evaluate all assets in a systematic manner. This prevents the usual content creation issues among organizations which include numerous revisions, unclear objectives, and errors in implementation.
The collaborative approach between AI developers and businesses
One of the most significant benefits of using Proprietary AI technologies is the collaboration between AI developers and businesses. While open-source Generative AI tools are also produced by experts, nothing beats actual client-to-developer interaction in ensuring the proper development of AI software.
With this kind of collaboration, businesses can align their brand values, business objectives, revenue goals, go-to-market strategies, and other organizational activities to the AI content generation tool they will use.
Furthermore, it ensures that the algorithms used by the AI technology will not disrupt any existing infrastructure within the company. This guarantees that the AI technology will be integrated, used, and implemented in the most optimal way possible.
Identifying unique content requirements and challenges
With the rise of numerous social media platforms, content creation has never been more challenging. Aside from industry requirements, each platform, niche, and audience demand unique marketing strategies from content creators. Identifying these requirements is specifically important when using pay-per-click (PPC) advertisement platforms. This way, businesses won't actively burn their marketing and ads budget with content that will not generate the necessary conversions.
This is where AI solutions may come in handy. They can identify unique content requirements and challenges within a specific niche and automatically create content plans based on these data. Aside from producing marketing assets, they can also generate effective content calendars, posting parameters, and launching strategies to ensure that all content resonates with the audience.
Customizing AI models and algorithms to align with specific goals
Lastly, Proprietary AI technologies use customized AI models and algorithms to align with specific business goals. Emerging Generative AI technologies can generate marketing insights, but they can only go as far as how other companies are doing their marketing.
Proprietary AI tools, on the other hand, can streamline an effective AI content creation procedure based on your specific objectives. Whether you're creating content to rank higher on search engines, create a funnel for your sales page, or just increase the market's awareness of your brand, all your content will be generated and launched to hit these goals. This creates a more systemic, organized, and effective marketing plan.
In conclusion, AI technologies are now transforming the entire content creation industry. While AI tools can't replace humans when it comes to creating effective content, marketers who use AI solutions will definitely rule the market sooner or later. Aside from creating an efficient content creation process within your team, an excellent AI tool can ensure that all of your online platforms will only launch nothing less than high-quality content. This saves you from facing backlash from potentially biased or erroneous AI-generated content. Furthermore, each piece of content will be personalized in such a way that your assets will surely resonate with your target audience.
Most importantly, while open-source Generative AI technologies can empower content creators, they can't create tailored solutions for specific business needs. For this reason, if you truly want to streamline an efficient content creation process for your business or your website, it's high time to consider getting a Proprietary AI solution. After all, you will not be deploying AI solutions just for creating content, but you will be using them to create content that will benefit your business.