How to create content with Artificial Intelligence?

Mai Mejias28 August

Artificial intelligence (AI) is nothing new, but it has recently become massively popular. Its uses can be very diverse and, among them, we can highlight the creation of content, in which it has had a relevant impact in recent times. As the demand to produce content constantly increases, AI emerges as a key tool to optimize time. However, its acceptance as a technology on which to leverage to create content is not yet fully accepted.

In this article we will tell you how to generate content for your performance marketing campaigns leveraging the power of AI. We will tell you how we use AI at Boomit for UGCs, Inbound Marketing, Budget Optimization and even for measuring and tracking campaigns with our Boomit One Analytics product. We will also talk about the advantages and disadvantages of using AI, what are the best practices and finally we will look at some AI tools for marketing that we recommend that we recommend and are key for you to introduce yourself little by little in this world.

Practical guide to generate content with artificial intelligence

Generating content with the help of artificial intelligence can be a highly efficient process when a step-by-step approach is followed. It has become a must-have tool for companies that want to maximize efficiency and stay competitive in a digital world. Here’s a simplified guide to making the most of AI in content creation.

1. Define your objective and audience: Before starting, it is essential to understand your content objectives and know your audience. What message do you want to convey? Who are you addressing? By clearly stating your goals, you can guide the AI to generate content that fits your needs.

For example, if you target fintech startups, your content should focus on digital banking trends, innovative solutions and financial process optimization. Define success metrics such as clicks, time on page or app downloads to measure the effectiveness of your content.

Select the right AI tool: There are several AI tools available for content creation. Some are designed for writing text, while others focus on generating images or videos.

• Text generation: Tools such as Jasper, Writesonic or even ChatGPT are excellent for writing articles, product descriptions and scripts.
• Image creation: Tools such as MidJourney or DALL-E are ideal for visual content.
• Video production: Platforms such as Pictory or Synthesia can generate videos from text.
• Predictive analytics: Appsflyer, Adjust or Singular can analyze data and suggest what type of content will be most effective.

Select the tool that best suits your content type and objectives.

3. Feed AI with data and information: AI tools require information to work. Provide data, keywords and a brief description of the content you want to create. The more information you can provide, the better the result.

As a clear example, if you are creating content for a digital banking app, you could ask for a text focused on “the importance of digital onboarding in fintech”.

4. Review and edit the generated content: Although AI can produce high quality content, it is essential to review and edit the resulting material. This is where the human touch comes in. Make sure the content is accurate, consistent and fits your specific style and tone. Human editing can add that touch of creativity and customization that AI can sometimes overlook.

5. Integrate content into your marketing strategy: Once you have your content ready, it’s time to distribute it strategically:

• SEO: Optimize your text with relevant keywords to improve its positioning in search engines.
• Social media: Transform content into engaging posts for networks such as LinkedIn, Instagram or TikTok.
• Email marketing: Personalize your message and use content to capture leads.
• Landing pages: Create optimized pages to convert traffic into leads.

By following these steps, you can leverage AI to streamline content generation without compromising quality. In addition, this allows marketers to focus on more creative strategies and strategic decision making while AI takes care of content production.

Examples of the use of AI for content generation

AI UGC

One of the products we have developed at Boomit is an AI-based system that accelerates the production of video content with virtual actors, which are based on footage of a real person. With this technology we can harness the power of AI by generating ideas for video scripts, and then giving them a realistic image, which allows us to reduce the costs of creating video content.

AI Inbound Marketing

At Boomit we have developed a system that allows us to create a super complete Inbound content plan, starting with the creation of content verticals based on the different types of Buyer Persona that each brand has. Then, within each of the communication verticals, the system proposes themes to be developed in order to position the brand in a solid and reliable way in front of its target audience. Finally, the system creates the entire content plan in the desired format, which is then scheduled by the content department, after review and optimization, of course. With this system, we can provide efficient services in a world where content “rules”.

AI Budget Optimization: Boomit One AI

Another of the products we have developed in Boomit is an automated system to optimize the investment in advertising campaigns. This system automatically connects to more than 40 advertising platforms, including: Google Ads, TikTok Ads, Meta, Criteo, DV360, Taboola, X Ads and others. Based on a complete dataset of more than 30,000 ad campaigns with sales targets, the system predicts the outcome of investments 7 days in advance, and proposes an efficient budget allocation. In this way, the digital communication strategy achieves superior results with the same level of investment.

AI Analytics

Finally, we have developed a system to measure the real-time impact of all digital communication strategies, including those based on content using AI. When we develop a content strategy with artificial intelligence, one of the main reasons is the speed of production. For this reason, having a data analysis system that clearly indicates which content generates the desired impact, and which does not, is essential. With Boomit AI Analytics, we can connect our different communication channels, whether they are advertising or not, and obtain measures of the impact of each of these contents. This information is vital, as the creative team relies on this to produce the next batch of creative, whether text, image, video or audio.

Advantages and disadvantages of using AI to create content

The integration of artificial intelligence into content generation has brought with it a number of advantages and disadvantages that are crucial to understand before diving fully into this technology.

Advantages of using AI in content creation:

The main advantage lies in efficiency. AI can generate content at impressive speed, saving time and resources. This is especially useful when you need to produce large volumes of material, such as content for social networks or blogs.

Another significant advantage is customization. AI tools can analyze audience behavior and generate highly personalized content. This improves audience engagement and retention, which is critical in the digital age.

In addition, AI can optimize SEO. By creating content that is perfectly optimized for search engines, you increase your online visibility and attract more visitors to your website. This can translate into better performance in terms of marketing.

Disadvantages of using AI in content creation:

However, not everything is positive. The disadvantages of AI in content creation include the lack of creativity relative to human capability. Although AI is surprisingly capable, it still lacks human creativity and intuition. It can generate content, but often lacks that personal and original touch. We at Boomit feel it is stiff, and predictable.

Another challenge is access to reliable data. AI relies heavily on the information provided to it. If the data is incorrect or inadequate, the content generated will also be incorrect or inadequate. This may affect the quality and relevance of the material. In other cases, since the AI works on the basis of an estimate of the most likely response based on the information it was trained with, in cases where that information is low, it tends to perform what is often called “hallucination”. This term describes cases in which the information is not only false, but at times, totally out of context.

We can imagine the AI as a system trying to complete a puzzle, in which the question proposes to complete a hole with the most correct answer possible. If the information around that area of the puzzle is sufficient, the probabilities of placing the correct piece are high, otherwise very low. The greater the amount of information and variables with which it is trained, the more likely it is to cover a greater number of topics and problems.

Finally, AI can be expensive. While there are some that are free and open to use, advanced AI tools can be expensive to acquire and maintain, which may not be feasible for all companies, especially smaller ones.

Ultimately, the decision to use AI to create content will depend on your specific objectives and resources.

Understanding these advantages and disadvantages will help you make an informed decision on how to leverage this technology in your content marketing strategy.

Use cases of AI in content generation

In principle, artificial intelligence applied to content creation can be applied to a wide variety of industries and productive sectors. Although, of course, there are certain areas that can benefit the most. If your company wants to do any of the following, AI may be able to help.

• Large volumes of content: Companies that generate large amounts of content on a constant basis, such as e-commerce platforms with thousands of products or news websites that publish articles daily, are ideal candidates for AI implementation. AI can accelerate content production and ensure that quality is maintained.
• Personalized marketing: Companies that focus on marketing personalization, such as recommending products or tailoring messages based on user behavior, can take full advantage of AI. It can analyze user data in real time and deliver highly relevant content automatically.
• SEO optimization: Businesses that rely heavily on organic search traffic, such as blogs and news websites, can use AI to optimize their SEO strategies. AI can analyze keywords, trends and search behavior to create highly optimized content.
• Multilingual content: If your audience is global and you speak to different language segments, AI can help overcome language barriers. You can translate and adapt content quickly and accurately, which is especially useful in international expansion.
• Reporting and analysis: Companies that need to create regular reports and analysis can use AI to automate much of this process. AI can collect data, create visualizations and summarize findings in record time.

This variety of applications demonstrates how AI can adapt to different needs and sectors, driving efficiency and quality in content creation.

Best practices in the use of artificial intelligence for content creation

Leveraging artificial intelligence to create content is an effective strategy, but it requires a number of best practices to ensure optimal results. Here are some key guidelines:

Combination of human and AI skills: AI is a powerful tool, but it should not completely replace human creativity. It is critical that marketers work closely with AI tools to give shape and context to the content generated. This ensures that the content retains its brand voice and authenticity.

Human supervision and editing: Although AI can create content, careful supervision and editing by human teams is essential. This involves reviewing the grammar, tone and consistency of the content to match the brand’s quality standards. Human editing is also crucial for adding emotional and contextual nuances that AI might miss.

Continuous AI training: AI tools improve with time and feedback. It is important to provide constant feedback to the AI solutions used so that they can learn and better adapt to your brand’s needs. The more training they receive, the more effective they will be at creating relevant content.

6 tools to create content with AI

The rise of artificial intelligence has given rise to a variety of tools and platforms that facilitate content creation. Here are some of the best options available:

These tools offer a range of capabilities and options to suit different content creation needs. Choosing the right tool will depend on your goals and preferences, but all of them can significantly speed up the content creation process with the help of artificial intelligence.

Conclusion

At Boomit we know in depth which is the right tool for each part of the process, and we carefully include them in the stages where they can add the most value. In turn, we accompany the content creation process so that the quality of each deliverable has a strong human component, which, as we have seen above, is vital in relation to the state of the art of AI. We think it is a great tool to generate efficiencies in some important parts of the content creation process, be it text, audio or video. It is not yet possible to delegate 100% of the task of content creation to such an automated tool, so it is arguably a process with a significant level of human assistance and supervision.

The rapid adoption of AI in content creation, especially among marketers, is due to the possibilities it offers to simplify processes, recognize patterns and perform repetitive tasks. All of this previously had to be done with intensive human intervention.

We understand that a balanced coexistence between human judgment and AI capabilities is essential today.

We invite you to get to know us and add IA to the result-oriented communication projects that we carry out at Boomit.