Boosting Your Brand with AI in Content Production

Whether you’re a startup founder, an investor, or a marketing leader, you’ve likely encountered the buzz around AI in content production. But, perhaps you are wondering if you should actually use AI in content production. Many wonder whether it is truly transformative or just another overhyped tech trend.

This guide addresses that issue. You’ll learn all about this innovation by walking through what AI really offers content creators.

Table Of Contents:

• The History of AI in Content Production
  • Early Adopters of AI for Content Creation
• How AI is Used In Today’s Landscape
  • AI Advantages and Disadvantages
• Top Concerns About Using AI in Content
  • Real World Mistakes with AI
• Ways to Improve Quality of AI Content
  • Detailed Steps
• Ways to Enhance Content Strategy Using AI
  • Use Cases for Content Teams
• AI Is Rapidly Changing Production Processes
  • Growing Impact of AI Production Across Sectors
• AI’s Role Going Forward
  • Specific Statistics in How AI Is Used
• Conclusion

The History of AI in Content Production

The journey of AI in marketing has been transformative, leading to innovative uses. AI wasn’t always capable of crafting complete blog posts; it began very basic.

In the early 1960s, people were talking about how we could communicate with machines using human language. People have thought about this from even the early 1990’s based on research by Columbia University computational linguist Jussi Karlgren.

In 1998, Amazon started using artificial intelligence for product recommendations. This was based on the research done earlier. Today, the technology is all around.

Early Adopters of AI for Content Creation

By 2013, AI had evolved to produce sports articles that could almost be published in real-time. Yahoo. used the Wordsmith platform from Automated Insights to give personalized reports and summaries based on fantasy football. The platform used natural language generation (NLG) to change content for different users.

“The tone of the narratives for Yahoo were intentionally snarky and sarcastic, so there was a process to make sure the jokes, language, and stats about each week’s matchup (or the draft reports at the beginning of the season) that are highlighted were what Yahoo was looking for.” That is what Automated Insights spokesperson Laura Pressman shared.

AI made huge gains by 2015 in Google searches. The change allowed for AI content creation tools to write for user intent, which boosted content quality.

How AI is Used In Today’s Landscape

Modern AI tools are being used in so many different creative ways. They are making jobs and lives much easier. AI’s text generation capabilities have advanced in recent years.

AI assists teams to make workflows faster and more efficient. The advancements has created some challenges and obstacles though for teams too.

AI Advantages and Disadvantages

Consider carefully some of these various challenges to overcome in this current time we live in.

AI helps, but you need to check things closely. Make sure the text content doesn’t sound too basic, despite it speeding things up. It allows people to spend more time editing for voice and different writing styles.

Top Concerns About Using AI in Content

Concerns around accuracy exist. A McKinsey survey showed 63% of organizations worry about mistakes in what AI tools produce. Even 23% said their group has had problems from AI.

These problems often stem from the data. Also they come from errors.

Real World Mistakes with AI

Two Manhattan lawyers used ChatGPT to research legal cases. The AI content creation tool made up cases that did not occur, even made up airlines.

Mistakes show checking all work from AI matters. Humans bring skill that’s still needed.

Ways to Improve Quality of AI Content

Improving the content quality of AI generated content involves multiple steps. Focusing on these will let users benefit most from AI in content creation.

This process keeps improving AI, making it better.

Detailed Steps

Here is how you can start creating high-quality content with AI today. Be ready for something surprising.

“When I was starting out as a digital marketer, Copy.ai was my guide in writing and producing quality content.” [Opeyemi O.]

• Start Smart: First give clear text prompts or detailed information to the AI model.
• Guide Creativity: Tell the AI tool the tone and target audience it is for.
• Check Facts: Always check that all facts, and even data points shared are actually correct.
• Make It Flow: Arrange all the written content so it flows well from point to point, keeping it very engaging.
• Edit Well: Go through and look for sections that might be confusing to help avoid that.

The steps given show ways that AI gives quality. But always make sure AI meets human review and input too. Read more reviews on G2 from others that talk about this.

Ways to Enhance Content Strategy Using AI

There are many AI in content roles to boost a startup’s reach and efficiency. Think about combining steps with good AI-powered tools. Tools like GPT-3 give solutions.

Teams can really streamline their efforts to be most useful.

Use Cases for Content Teams

AI content creation tools can handle the first draft. This lets marketing people work on tasks that give more results. AI-driven content creation tools can create the SEO keyword research stage faster. For instance, you might try Moz’s Keyword Explorer.

Or perhaps you should test MarketMuse which really uses machine learning to build copy. It all builds content around chosen themes.

Here are a few practical applications for marketing teams today:

• Writing first drafts of existing content to review and improve.
• Researching content topics, keywords, and structure.
• Adjusting blog text content for the better search engine results.
• Offering new topic ideas you may not have even considered.

A survey revealed that a usual 500-word post could take roughly 4 hours to complete. Yet expect paying over $175 for an article of about 1,500-words if you pay someone else to do it.

AI content creation tools make output go way up, so there is savings. This leads to some amazing chances for growth for businesses everywhere.

AI Is Rapidly Changing Production Processes

AI’s changing content development across media forms. Consider DALL-E2, an AI platform, which allows for image generation and design from just words, as an example. It opens new fields.

More users are embracing content production methods that involve these AI advances. AI continues to advance in many other fields too, such as customer service, higher education, video content creation, and much more.

Growing Impact of AI Production Across Sectors

Industries like movies are changing too. They are combining the help from AI tools more and more with production needs.

AI helps companies overcome creative obstacles and achieve greater reach. Reports show the power of content production growing really fast.

Companies use AI-powered video tools and voice software for streamlining content and to cut the old boring and repeated efforts. “I can go on and try other longer forms and it’s really awesome.” [Verified User]

AI’s Role Going Forward

AI’s reach in business tasks keeps spreading fast. For content marketing, experts see AI in content teams playing bigger parts for creating high impact in their jobs. They also think there will be uses that many might find shocking at how impactful it will be.

AI will probably play a major part as time goes on. Experts keep saying so, citing how useful and broad the AI technologies keep going. The growth expected for using AI in content marketing goes to $107.5 billion within a few years from 2021’s total of $15.84 billion, per Statista’s prediction.

AI allows content creation processes to improve a bunch by handling time sucking parts. It’s changing a great deal now.

Specific Statistics in How AI Is Used

One study by Salesforce shared how it helped various roles in their business.

Around 73% of people in America use generative AI tools, said by the survey data. Most are excited at seeing how quickly these could handle time draining repetitive steps, with 71% pointing this efficiency from less tiring busy jobs.

It would help them push hard projects onward further each year. Because they saw gains to focus thanks here again, with these very focused task gains that really do build up. They would help build up projects with time savings and energy to generate content.

Here is a table summarizing some of these statistics:

Conclusion

AI tools handle steps that often slowed teams way down. With the power of large language models today for teams to use, there is so much that can be done. It really means AI in content production isn’t a simple add-on feature but the heart of any modern output.

AI should become a core feature when producing any type of professional content, such as marketing copy, product descriptions, social media posts, video content, and much more. It allows businesses and teams new ability with making custom solutions to improve content quality.

So, there is a major benefit. The change shows AI works as partners today, not foes changing every piece while analyzing vast datasets.