The Future of Content Marketing Lies in AI

Welcome. This is the Public Relations Review Podcast, a program to discuss the many facets of public relations with seasoned professionals, educators, authors, and others. Now here is your host, Peter Woolfolk.

Welcome to the Public Relations Review Podcast and to all listeners all across America and around the world. Now question how can artificial intelligence, ai, benefit content marketing? On this episode, the answer to that question will be provided by two articles. Each article has been converted by way of text to speech that addresses this question. The first article, the Power of Artificial Intelligence in Content Marketing, was published June 2023 by News whip, and here it is.

For any marketing professional. Accurate and contextual media monitoring is essential for evaluating and forecasting the success of any promotional campaign. Artificial intelligence is transforming the way marketers collect, understand and even improve customer interactions, particularly when it comes to content marketing strategy. With the help of AI, marketers can optimize the success of their campaigns throughout the entire customer journey and move beyond traditional approaches. Ai offers unprecedented insights into customer segments, allowing marketing teams to analyze consumer approaches, preferences and habits with significantly greater accuracy. By leveraging sophisticated AI models, marketers can gain insight into why certain content resonates with certain audiences, while other attempts may prove ineffective. Ai can also be used to quickly identify the most relevant engagement opportunities from the vast amounts of available data, allowing marketers to craft marketing campaigns in a more personalized and effective manner. Ai-enabled predictive analytics presents another significant opportunity for marketers to leverage AI-driven predictive models, analyze customer interactions and behaviors to forecast possible future trends, to anticipate customer needs and shape content accordingly. Marketers can use predictions to develop more valuable and timely content that resonates better with target audiences, resulting in higher engagement and click-through rates. Furthermore, ai can enhance lead generation and conversion processes by helping marketers identify user content preferences and create corresponding experiences. By leveraging machine learning and natural language processing, marketers can better understand the expectations of the audience and optimize customer journeys for maximum engagement. Smart content optimization through AI and natural language processing can help marketers produce content that resonates with target audiences in real time, leading to reduced customer drop-off and increased conversions. Ai-backed media monitoring platforms allow marketers to stay up-to-date with industry-wide trends and current events. Such automated solutions provide timely alerts regarding new customer behavior and sentiment changes, so that marketers can make timely and informed decisions. This helps marketers track topics, picks, stories and conversations as they happen, giving marketing teams a much clearer view of their campaigns with greater accuracy. In conclusion, ai has become an indispensable tool for content marketers in the retail industry. Ai-driven predictive analytics, alert systems and content optimization tools provide marketers with a range of features and capabilities serving to develop better customer interactions, improve campaign efficiency, increase conversions and remain abreast with current industry trends. To leverage the benefits of AI more effectively, marketers should consider employing specialized solutions that are tailored to their individual needs. By utilizing such automation, marketers can gain a better understanding of campaign results, while taking advantage of new opportunities for growth.

Now this second article was published by the Marketing Artificial Intelligence Institute, and here it is.

No matter what content you write or what stories your brand tells, there's a good chance. Artificial intelligence AI can help you do it better. Despite the hype you hear, ai is a very real force in marketing and it's changing the way brands create and distribute content, and content marketing is one of the top areas. We've seen marketers use AI to significantly increase revenue and reduce costs. In fact, we surveyed hundreds of marketers for our 2021 State of Marketing AI report About how valuable it would be to use AI technology to intelligently automate more than 45 common AI use cases in marketing. Content marketing activities dominated the list of highest-rated use cases for AI in marketing. These include content analysis, keyword selection, data-driven content creation, optimization, creating personalized content and A B testing to improve content. All of these content marketing use cases, and many more, are possible to do with AI today. What is AI and how does it influence content marketing? Ai is a term that covers a lot of different technologies. You may have heard of some of them machine learning, computer vision, natural language processing and natural language generation, to name a few. These technologies use similar principles to perform different types of cognitive tasks as well or better than humans. For instance, gmail now uses AI to predict the next word. You'll type in your emails and offer an automatic suggestion so you can speed up your typing. A software assistant like Grammarly uses AI to offer recommendations on how to write better, and your iPhone predicts what might be the most appropriate responses for the text message you just got, so you don't have to think about what to write next. In all cases, ai is used in various contexts to read and write human language. The ability to read human language is the domain of an AI-powered technology called natural language processing NLP. The ability to write and speak like Siri and Alexa is thanks to AI called natural language generation NLG. Even the most basic of NLP and NLG systems can analyze and produce human language to some degree. That's impressive, but the real magic happens when these systems are able to improve themselves over time. A system like Gmail's Smart Compose offers suggestions on what you should say next, then learns from what suggestion you pick. If you consistently ignore one of its recommendations, chances are it'll offer different ones in the future. The most advanced machines teach themselves to improve based on user inputs rather than relying on a human programmer to constantly update the rules that dictate their outputs. How can AI help content creation and content marketing. Now imagine how this plays out in the world of content marketing. An advanced intelligent machine system reads and or writes human language. Every time it reads or every time it writes, it learns a little more about how to improve than it adjusts accordingly. It may not be perfect, but it gets better fast. We see this play out in other realms of AI, where AI systems have beat human champions at highly complex games like Go, the systems learned faster and at scale. Suddenly, you're looking at tools that may be able to read, analyze, suggest and or write content far better than humans, or learn to in a very short amount of time after you implement them. In early 2019, openai, a non-profit AI research company backed by the likes of Elon Musk, peter Thiel and Reed Hoffman, announced they built an AI model that essentially writes coherent paragraphs of text at scale. The model is called GPT-2, and it learned how to write this well by analyzing 8 million web pages. In 2020, openai updated the model and released GPT-3. In early experiments, gpt-3 has been used to produce everything from coherent blog posts to press releases to technical manuals, often with a high degree of accuracy. To do that, gpt-3 uses 175 billion parameters in its language model compared to GPT-2's 1.5 billion. The point here isn't to say AI will replace writers or remove the need for content marketers, though that could happen if the technology progresses far enough and fast enough. It's to highlight that this is real technology that is making real progress towards doing certain marketing tasks better than humans Today. Ai can generate content, build content strategy and personalize content, and much, much more. That has forward-thinking marketers adopting the technology to increase revenues, reduce costs and build massive competitive advantages. What AI skills do content marketers need? Let's start with what skills that may not be valuable. Moving forward in content marketing, it's difficult to predict which exact roles and skills will be affected by AI and intelligent automation. However, the following types of skills are more susceptible to automation thanks to AI. Repetitive Tasks that are completed following a set of repeatable steps that don't change much are susceptible to automation. Data-driven Tasks that rely on data to produce outputs are often ripe for applying AI. Predictive Tasks that require making a prediction about an outcome are tasks that AI excels at. Tasks and roles that have one or more of the above characteristics are more likely than others to become partially or fully automated by AI. But what skills do content marketers need to develop in order to survive and thrive in the age of AI Broadly. There are a few skills content marketers need to start honing if they want to take advantage of AI in the coming months and years AI knowledge and understanding. You don't need to know everything about AI to start using the technology, but you do need a basic understanding of the different types of AI technology and the opportunities and challenges AI presents. Our Beginners Guide to AI in Marketing is a great start to build this foundation fast. Data Literacy you also don't need a degree in data science to use AI to develop a competitive advantage. You do, however, need to understand basic data literacy and how data impacts AI adoption. Don't worry, you don't need to be a math whiz to do this, but you do need clear guidance on how to think about data and AI Use Cases. You also need to understand how AI can actually help your content marketing. That way, you can get ahead of the curve and begin testing tools. This post is a solid start. You can also use our free interactive tool to rate your top AI use cases in content marketing and other areas quickly and easily, even if you're just getting your feet wet with AI. What are some AI-powered marketing tools. Ai tools for content production. Short form content creation is already possible. Commercial AI systems exist that can draft email subject lines and certain types of ad copy. These systems are used to generate text automatically without human involvement. That converts at higher rates than work produced by human copywriters. And thanks to OpenAI's GPT two model mentioned above, longer form content creation may become possible with advanced AI. It's too early to tell how this type of advanced AI will be operationalized in marketing, but the implications are too large for content marketers to ignore. We could be looking at an AI-powered future where humans and machines work hand in hand to actually write marketing content. Market Muse is an AI-driven assistant for building content strategies. The tool will show you exactly what terms you need to target to compete in certain topic categories. It'll also surface topics you may need to target if you want to own certain topics. The result AI-powered SEO recommendations and insights that can guide your entire content creation team. Market Muse's first draft functionality can even use AI to start drafting content based on those recommendations for you. Razaio is an AI platform that generates personalized smart newsletters and automates the newsletter production process, dramatically increasing reader engagement and providing rich insights back to the brand. Ai tools for content intelligence. Many content marketers rely on gut instinct to build content strategy. When we do rely on data, there's often too much of it to effectively sort the signal from the noise. Luckily, ai exists that does a better job than people of providing data-driven insights to inform content strategy. Systems exist that analyze your content performance data, compare that data with other sites and offer predictions about everything from what to write to what topics perform best. These systems go by many names, like content strategy platforms or content intelligence tools, but they use AI to achieve the same goal provide insights. That leads to smarter content strategies. Crayon uses AI to give you competitive intelligence on exactly what your competitors are doing online. You'll be able to see how the main pages of a company's website change over time, which in turn, reveals insights about their content strategy, targeting and messaging. This kind of information can be a goldmine of ideas for your content marketing efforts. Just search your top competitors or brands you admire using crayon and get ready for a torrent of inspiration. Kobomba is an AI-powered content intelligence platform. It measures your content metrics over time so you can track performance at scale, and it offers smart recommendations on how to improve content effectiveness. Ai can help optimize content before and after it's published, reducing the manual work required to get the most out of content investments. Ai systems can handle key optimization tasks like content research, topic suggestion, brand compliance across assets, search engine optimization, content alignment with user intent. It's true, with AI systems that exist today, you can automate a significant portion of the heavy lifting required to optimize each and every piece of content. Bright Edge is a global leader in SEO and content performance marketing that blends search intent discovery, optimized content creation and performance measurement into one integrated solution. The solution uses AI to discover what people are searching for and help you create a content strategy to capture traffic and consumer interest. Ai was designed to make recommendations, using data to predict what you'll like. You see this in the AI systems used by Netflix and Amazon to suggest offerings, and the same principles are used to power AI content recommendation. There are AI tools that will analyze the content consumption habits of site visitors, then recommend pieces of content they might like to consume. Next. The very best of these systems learn dynamically based on user actions, getting better and better at predicting what you might want to read, watch or listen to. Next, path Factory uses sophisticated AI to hyper-personalize the B2B buyer's journey. The company's content insight and activation platform helps buyers to move through their paths to purchase faster and more easily by serving them relevant content recommendations.

I hope you found this text-to-voice episode beneficial. It is our way of adding new technology to this podcast to keep it interesting and up to date. So please let me know just what you think about this, and thank you so much for listening. Join me for the next edition of the Public Relations Review Podcast. Have a good one, bye.