AI Marketing: How It’s Transforming Content Creation

 

Like most people, you probably think of artificial intelligence (AI) as a futuristic concept. But the truth is that AI is already here, transforming how we live and work. One of the most exciting applications of AI is in the field of content creation. AI-driven content is revolutionizing the way businesses create and manage content. By automating repetitive tasks and providing insights that would otherwise be difficult or impossible to obtain, AI is helping companies to create better content faster and more efficiently. You should consider adopting AI-driven content creation tools and techniques to improve your content creation process.

Has Your Brand Transitioned From Reactive to Proactive Customer Service?

The days of waiting for customers to contact you are over. It’s becoming increasingly difficult to reach out to customers because they’re expecting brands to respond immediately. But how do you know whether your brand is ready to leap into proactive customer service? 

Here are some questions to ask yourself about your current state of customer service.

1. How much does your team know about each customer?

2. Do you use data analytics to identify trends and patterns in calls, chats, emails, and other interactions with customers and prospects?

3. Are you using AI tools or chatbots to engage customers proactively?

4. Have you built a strong relationship with your CRM system?

5. Do your marketing campaigns include an opt-in email form to track which leads convert into sales?

AI is already helping brands create great content and predict what will perform best. But marketers are often too focused on the technology itself rather than the impact it can have on their marketing strategies. AI can enable companies to optimize their content strategy and execution while improving content quality. And with the rise of voice assistants like Alexa and Siri, AI could even help you create personalized messages for your audience. AI is changing content marketing, including how machine learning can help marketers create better content and predict which pieces will do well. 

 

Where Can AI Impact Content Marketing?

AI is already changing how companies do things. We’ve seen it in customer support, sales, and even recruiting.

• But what about content marketing?
• Where does AI fit into the equation?
• And where might it go in the future?

Content marketing is one of the most important channels for brands today. If you don’t use it well, you risk losing out on customers, leads, and revenue. 

So, where can artificial intelligence (AI) help? Let’s take a look.

Scheduling Posts & Creating Email Campaigns

As humans, we often find ourselves doing the same thing daily. Whether posting the same content every week, sending emails to the same list, or scheduling social media posts, we often feel like we’re spinning our wheels. With AI, however, we could potentially automate those processes.

For example, imagine a scenario where you want to schedule 10 posts per month across four different platforms. You could spend hours manually entering each post and planning it for each channel. Or, you could let AI handle it for you. In fact, according to HubSpot, 40% of B2C businesses use some form of automation to manage their content marketing. That number goes up when looking at small business owners using AI to automate lead generation.

In either case, AI can help you automate tasks to focus on more strategic work. For instance, Google’s Assistant can automatically schedule posts based on your preferences and remind you to share updates via email or text message. You won’t need to check your phone or laptop throughout the day. AI can also help you create targeted content. Say, for example, you run a blog and want to send out weekly newsletters to your subscribers. While writing them yourself, you could let AI analyze your subscriber data and suggest relevant topics. For example, if you know that people living in California tend to be very interested in sports, you could write articles about baseball and football.

The possibilities are endless — and they only get better as time passes.

Search Engine Optimization

SEO has been around since the early 1990s, but it wasn’t until recently that its potential was fully realized. As SEO becomes more advanced and connected to AI, it may finally impact content marketing.

First, let’s talk about keyword research. Regarding SEO, there are two main types of keywords: long-tail and short-tail. Long-tail keywords generally refer to phrases that aren’t commonly searched, such as “best dog food for senior dogs.” Short-tail keywords usually have high search volumes, such as “dog training.” The problem with this is that it takes longer to rank highly for these terms because they typically require more effort. That’s why many marketers prefer to target long-tail keywords. However, AI can make this process much more manageable. Today, if you wanted to know what keywords best describe your product or service, you would likely need to rely on human judgment. But, thanks to AI, that task could become much more straightforward. Analytics tools help you understand trends within your industry, identify areas you should improve, and ultimately optimize your site. Most of these tools include an optimization function that analyzes how visitors interact with a website and suggests changes that will increase traffic and conversion rates. But, while most existing tools focus solely on web pages, AI can also track other interactions with your brand — including mobile apps, video ads, social media content, etc. These insights can help you pinpoint which parts of your brand are performing well and which need improvement.

Finally, SEO isn’t just about optimizing your site, and it’s also about creating quality content. And, as AIto starts one from scratch, you could instead ask your AI tool to recommend several options. Then, you can pick the one that looks the best and give it the final approval.

Email Marketing

Email marketing is one of the most popular forms of digital communication today. According to the marketer, which channels drive the most revenue, and which ones should you focus on first?

Finally, user experience (UX). UX refers to the overall quality of a website or app. Users who find a website easy to navigate, intuitive, and engaging are likelier to stick around and take action. But, as we mentioned earlier, AI allows a computer to do all this work for you. For example, say you want to build a new customer onboarding page. Rather than hiring designers and copywriters who might charge thousands of dollars per hour, you could simply use a chatbot to ask questions, collect data, and even write a personalized welcome message. This type of automation is only going to grow in popularity over time.

Customer Service

Customer service is another area where computers are poised to change the game. In fact, according to Forbes, 40% of people expect companies to replace their customer service representatives in five years. Customer service is typically delivered through email and phone calls, which means people often wait days or weeks to speak with a representative and only get 1-2 minutes with them. With AI, you can automate customer interactions so that agents respond faster and more accurately. You can also build chatbots that answer questions immediately.

And while humans still play a huge role in customer service, AI could soon make them obsolete. Some brands are already using chatbots to answer common questions. And Amazon is currently testing an Alexa feature, which allows customers to order products using voice commands.

1. Finance & Accounting

One of the finance departments’ most significant challenges is reconciling invoices and payments in real time. This problem is particularly acute when dealing with international clients. However, AI might provide a solution. Companies like Zendesk have been leveraging machine learning to automate workflow processes such as invoice creation and payment tracking. And IBM recently announced Watson Insight—a cloud-based platform that simplifies enterprise accounting.

2. Human Resources

Human resources play a vital role in every company. After all, having a solid team of employees is critical to business success. However, managing payroll and employee benefits remains a challenge for many businesses.

That’s why AI technology has started making its way into the workplace. One example comes from Workday, an enterprise software provider offering various human resources services, including payroll management. Last year, the company launched Workday Payroll—an online tool that automates payroll processing.

Another example comes from Unum Group, a health insurance provider. The company uses AI to match applicants with jobs based on their skills and background information, which helps ensure that workers receive the right coverage at the right price.

3. Legal

Paper-intensive projects often bog down legal teams. For example, if a law firm requested a case file from a client, they would typically download a bunch of documents and then manually sort through each document to extract relevant details. Legal teams could scan a case file with AI and automatically pull relevant information. That means less time spent searching through mountains of irrelevant material and more time working on your cases.

4. Media & Publishing

The media industry is constantly evolving. New technologies emerge every day. From self-driving cars to virtual reality headsets, there are always new developments to keep up with. But one thing hasn’t changed since Gutenberg invented the movable type: People will always need content. So how can publishers leverage emerging tech? Well, AI may be able to help. A recent report from McKinsey found that 80 percent of consumers read blogs or articles about news topics. And that number is expected to increase to 90 percent by 2020. So, it makes sense that companies like BuzzFeed News, TechCrunch, and Vox are investing heavily in AI-powered tools. These programs allow users to create custom RSS feeds based on their interests and use AI to recommend the best stories to read.

5. Medicine

You probably know AI isn’t just used to power digital assistants and chatbots; it’s also being tested in healthcare settings. For example, researchers at MIT have created an AI system capable of diagnosing skin cancer with 98% accuracy. And Google DeepMind has developed an algorithm that diagnoses heart disease with better than 95% accuracy.

6. Oil & Gas

As oil and gas production increases worldwide, the demand for exploration equipment increases. But it’s not easy finding suitable drilling rigs, drill bits, and other tools for the job. Some companies rely on humans to do this research, and others simply pay high prices for data sets that contain thousands of images and videos. But AI could change all that. Companies like DNV GLand GE Energy are using artificial intelligence to identify the most promising oil and gas exploration sites.

7. Retail

Forget Amazon Go—the real revolution in retail is already underway. Walmart recently announced plans to invest $2 billion over the next few years to roll out a fleet of autonomous vehicles. These trucks won’t replace cashiers or delivery drivers. Instead, they’ll deliver items straight to customers when they arrive home. Imagine dropping off packages without having ever to step foot inside a store.

8. Security

If you think the future of retail looks bleak, wait until you see what security systems look like in 2030. That’s because AI will make life easier for guards and criminals. An MIT study predicts AI-based cameras will be 97 percent accurate in recognizing suspicious behavior.

9. Transportation

Self-driving cars aren’t far away. According to a 2016 survey from Pew Research Center, 74 percent of respondents said they believe fully automated driving systems are inevitable within 20 years.

10. Virtual Reality

Virtual reality is another area where AI adoption is poised to explode. Facebook recently acquired Oculus VR for $2 billion. The acquisition was driven mainly by its investment in Oculus’s virtual reality platform. By combining the two media, Facebook hopes to expand into many of the same markets as Google. This move comes after Apple bought out similar startup Magic Leap for $1 billion last year.

 

Content Performance Optimization Use Cases

AI is getting better at producing content. It’s already been used to create text, speech, and images. This article explores how AI is being applied to content creation today. Performance Optimization Use Cases

The world is changing rapidly. Consumers demand personalized experiences and want to engage with brands in meaningful ways. And they want it now.

This report explores how marketers can use content performance optimization to meet these demands. We define content performance optimization, why it matters, and how you can start optimizing today.

 

We outline three key areas where marketers can leverage content performance optimization:

1. Personalized Recommendations

2. Intelligent Workflows

3. Data-Driven Insights

In each area, we explore the benefits of content performance optimization, provide real-world examples, and offer guidance on implementation. Considerations for Investing in AI Tools for Content Marketing is one of the most effective ways to generate leads and increase conversions, but it’s also a very labor-intensive process. If you want to scale up your content marketing efforts, there are some things you must consider before making a significant investment in AI tools.

What Are You Trying To Achieve With Your Investment In AI Tools?

Before investing in AI tools, figure out what you hope to achieve with your tool of choice. Do you want to automate specific keyword research or article writing processes? Or do you want to improve your overall content creation workflow? Once you know exactly what you want to accomplish, you can narrow down your options and find the best fit for your needs.

How Much Time Will You Spend Using These Tools?

AI tools aren’t just helpful in automating tedious workflows; and they can be used to streamline your entire content creation process. For example, you could use AI tools to automatically identify topics and keywords related to your brand, then use those terms to build out blog posts. This way, you don’t have to spend hours searching for relevant information or manually crafting content around specific ideas. Instead, you can focus on developing compelling copy that resonates with your audience.

Who Is Going to Benefit From These Tools?

If you want to implement AI tools into your content marketing strategy, you must consider how these tools will benefit your team members. Some people prefer using AI tools to complete simple tasks, while others prefer using them to solve complex problems. Your team should feel comfortable using AI tools because they understand how they work and why they’re beneficial.

The hype around artificial intelligence (AI) continues to grow, especially among marketers. From chatbots to voice assistants, there are many ways that AI is being used to automate tasks and make interactions with customers more efficient. But while marketers have been talking about how AI could change the game forever, it hasn’t yet reached full maturity.

According to Forrester Research, 70% of companies use AI in some form today. However, only half of those organizations say they’re ready to take advantage of what AI offers. And even among those who are prepared, most aren’t sure where to start. In fact, according to Gartner, only 20% of businesses have adopted AI completely across all departments. This leaves plenty of room for growth. In addition, most marketers don’t know much about AI beyond the basics. They understand that AI can help them better target consumers based on their interests, behaviors, demographics, and location. But they don’t realize that AI can do much more.

 

How Can AI Help Marketers Create Better Experiences?

AI can improve marketing by helping you create better experiences. Here are some examples of how AI can help you make outstanding experiences for your customers.

Increase Productivity

Most companies try to reduce costs by using human salespeople to talk to customers. But that limits the number of potential customers you can interact with at once. If you use AI as part of your lead generation efforts, you’ll likely see a significant increase in productivity. Because you won’t need to spend hours creating scripts for each conversation, you’ll be able to engage more people at once.

Get More Sales Leads

Leads are critical for businesses of all sizes. They’re the first step towards building relationships with new customers. However, leads aren’t always easy to come by. Often, you need to invest significant resources into generating quality leads. That’s where AI comes in. Machine learning systems can learn to recognize patterns in customer behavior and predict future events. So instead of spending valuable time talking to people who aren’t interested in buying your product, you can focus on finding those who do.

Build Better Products

Products today are incredibly complicated, and there are dozens of moving parts, many of which require constant maintenance. The more complicated something is, the harder it is to figure out why it isn’t working correctly. And even if you figure it out, there’s no guarantee you’ll be able to fix it. But artificial intelligence can help you streamline processes and eliminate inefficiencies. For example, you could automatically detect whether a customer needs technical support. Or you could check what other products they’ve purchased recently and suggest similar ones based on their preferences.

Optimize Your Website

Your website is one of your most essential tools when selling online. Unfortunately, it’s rarely optimized for conversion rates. So, it makes sense to optimize your site with AI. Instead of manually reviewing every page and checking off items like “Icons,” “Call To Action” buttons, and “Keywords,” an AI system could scan your entire website and tell you exactly which elements to change. And since AI improves efficiency while increasing accuracy, you can free up time to pursue more strategic initiatives.

Grow Your Business

You may think that marketing automation is only valid for small businesses. After all, most large corporations already have a complex sales process in place. But AI has the power to transform how you run your business. If you implement a fully automated CRM, you can reduce overhead costs and save money on labor. You can also create a single platform that integrates all your different applications. That way, you can quickly move data between them, making it easier to identify trends and analyze customer responses.

Become A Thought Leader

In recent years, we’ve seen a massive shift towards content marketing. In fact, according to Hubspot, over 50% of marketers plan to increase or maintain their content marketing budgets this year. However, many companies still rely on human editors for content creation. But AI-powered editing software allows you to write faster, improve your writing skills, and generate more engaging content.

Increase Customer Loyalty

One of the biggest problems that businesses face is retaining current customers. Many people leave without saying goodbye, so it’s essential to make sure you keep them happy. But not everyone wants to hear about your company’s latest innovations. So you might find it challenging to get feedback on your work. A great solution to this problem is to introduce an AI assistant, and the technology will listen to conversations and offer suggestions throughout the day. It’s much better than having employees ask customers questions via email or social media. Plus, the AI assistant won’t judge you.

Identify New Markets

Marketing is often expensive. But it doesn’t have to be! With AI, you can reach new markets at a fraction cost. For example, if your target market includes millennials, you can automatically use AI to suggest relevant keywords automatically. Then, you can send out messages to these new audiences.

Create More Value For Customers

Another benefit of using AI is that it helps you provide value to your audience. When you sell the same thing to multiple people, it gets boring. With AI, you can tailor each message to unique circumstances. That way, no one feels like they’re getting the same thing.

Manage Customer Data

Even though data collection is becoming more accessible, it still requires effort. Fortunately, AI makes it easier than ever before. Once you’ve collected all the information, you can analyze it to improve your offering. Or you can use it to predict future needs.

 

AI Will Enable Personalized Experiences

Personalized marketing isn’t just about creating unique messages based on customer data, and it’s about understanding what consumers want and delivering it to them in meaningful ways. And while many tools can help you do this, artificial intelligence (AI) can make it easier.

AI-driven content intelligence can help companies create personalized experiences that meet customer demand. This includes everything from assisting marketers in identifying the best messaging to deliver to specific audiences to providing insights into how well those messages perform.

But organizations need to start thinking differently to take advantage of this technology. They need to ask themselves questions like:

• What information am I collecting?
• Is my data enough to build a complete picture of my audience?
• Do I know where my data came from?
• Are my algorithms accurate?

The answer to all of these questions is “no.” To truly understand your customers, you need to go beyond the data you collect and analyze it alongside other sources of information. You need to dig deeper into your customers’ lives and behaviors. And you need to use multiple forms of data to develop a holistic view of your customers. This requires looking inward rather than focusing solely on external factors such as demographics, location, or device type. But once you’ve done that, you’ll see opportunities to bring together disparate pieces of information and apply AI to help you provide more personalized experiences.

For example, you might combine customer data with social media posts to determine whether someone is interested in a particular product. Or you could use AI to predict whether a person will likely buy something based on their browsing history. Simply put, AI can help you find the most effective way to communicate with each customer. And since every interaction matters, it’s crucial to think about how you’re doing it. The myth of the “Good Enough” Personalization is one of those buzzwords that gets thrown around a lot without meaning anything.

But what does it mean? And how do we know whether we’re doing it well enough?

• Personalization isn’t just targeting ads based on people’s preferences.
• You can use data to target people based on their interests, behaviors, demographics, location, etc.
• There are many ways to personalize a digital product or service — from simple text messages to complex AI systems.
• A good personalization strategy must start with deeply understanding your audience.

 

Personalization: A Combination of Data and Content

AI can help marketers leverage content and combine it with customer data to deliver personalized messages to their customers. With AI, marketers can use text analysis to understand what words mean and how they relate to one another. Then, they can use natural language processing to understand what customers mean when they say things like “I love this product.” Finally, they can use sentiment analysis to determine whether customers are happy or sad about specific topics. This helps marketers uncover new opportunities for improving their products and services. For example, if a customer says he loves a product but doesn’t want to pay much for it, an AI system may tell the difference between him saying that because he likes it versus saying it because he wants to get a discount.

AI can also help marketers decide which types of content will work best with different kinds of customers. If you have a brand-new customer who has never bought from you before, you probably don’t want to send them emails telling them about your latest deals. However, if you already have a loyal customer who buys frequently, you might want to offer them special discounts or exclusive offers. In both cases, the key is to make sure you’re reaching the right customers at the right time.

 

Conclusion

AI marketing is here to stay, transforming the landscape of content creation and distribution. Marketers who can keep up with the latest trends and utilize AI tools will stay ahead of the competition and create more compelling content that resonates with their audience. So, if you want to keep up with your game, ensure you’re incorporating AI into your content marketing strategy.

At PC, Social innovation is also in our DNA. So we’re investing in tools that will give us an edge over our competitors, such as artificial intelligence. We launched a beta product for creating AI-driven content, AI graphic design, and AI video content. We’re offering a 75% discount for customers willing to work with us while in beta. 

If you are a customer willing to give us constructive feedback and try the newest technologies, please reach out to Fernando Perez at marketing@pcsocial.app.