The internet is a noisy place. More than 7.5 million blogs are published every day, and 300 minutes of YouTube videos are posted every minute. Facebook sees 350 million new photos every day while people view more than 1 billion videos on TikTok daily. The push to create engaging content has never been greater, and AI consumer intelligence might be a shove in the right direction.
AI: The Next Best Thing to Mind Reading?
In a perfect world, your audience would tell you exactly the kind of content they want you to create. Although we don’t live in a perfect world, AI could be the next best option because with it, you can monitor user actions and behaviors to come up with content ideas.
AI is simply the process of leveraging technology to perform human tasks. In the world of content marketing, these tasks might include:
- Conducting keyword research
- Monitoring trending topics
- Content writing
- Analyzing content performance
Traditionally, human content marketers handled the full scope of the process. Tools exist to make each of these tasks easier. For example, marketers can look for topics trending in their niche using BuzzSumo or Google Trends, then use these topics to develop content that is already resonating with their audience.
Adding AI-enabled consumer intelligence to the mix takes content creation several steps further by removing much of the manual labor from the process. As a whole, AI helps to optimize and fine-tune content. While it’s not a replacement for human writers and marketers, it can help to speed up the content creation cycle without sacrificing quality.
7 Ways AI Can Improve Content Creation
Linkfluence continues to explore AI’s potential for content ideation and creation. Here are seven ways that AI is already being deployed to improve content quality based on data, not hunches:
1. Discover Emerging Topics and Trends
Your audience is already telling you what type of content they care about, but they’re doing so through their actions, behaviors, and engagement. Without a way to harness these insights, it’s hard to know where and when to direct your focus.
Coming up with new topic ideas is the low-hanging fruit for AI. By analyzing millions of topics and engagement metrics at scale, AI consumer intelligence by Linkfluence can easily pick out the top performers.
However, finding hot topics is not always enough, especially if you rely on organic search to drive traffic. If a topic is hot, there are probably tons of brands and companies already writing about it, which means your content will need to be better than what’s already been published.
Linkfluence takes ideation to the next level by adding context to trending topics. Rather than analyzing what’s trending in a general sense, AI can be deployed to find specific details that engage your target market.
Linkfluence AI algorithms can quickly analyze millions of data points, including your own content, user-generated content, and content from your competitors. Algorithms pick out relationships between them to help you understand the nuances of what makes those topics so popular.
One of AI’s greatest feats is the ability to add context to its findings. This is a huge power move that can help marketers create content that hits all the right notes with less guesswork.
2. Improve Content Personalization
Personalization is in high demand among consumers, but many marketers report it’s one of their greatest struggles. Gartner says that 63% of marketers still haven’t hit the personalization nail on the head. By the same token, only 17% of marketers report embracing AI tools to help them personalize content at scale.
Personalization seems to be the norm these days, and consumers have come to expect it. Everything from a customer’s Netflix account to Amazon emails is ripe with personalized recommendations. In fact, research shows that more than 7 in 10 customers feel frustrated when website content or shopping experiences aren’t personalized. On the upside, 91% of consumers say they are more likely to shop with brands that offer personalized marketing and recommendations.
It’s certainly worthwhile to work out the kinks when personalizing your messages at scale, and AI consumer intelligence can help.
At a bare minimum, AI tools can personalize email subject lines with the recipient’s name. Taking it a step further, AI can also recommend products and offers based on a user’s browsing or buying history. For example, if a shopper abandons their cart, automation can take over and send reminders or even incentives for users to complete the checkout.
In terms of content creation with Linkfluence, AI can also recommend content ideas based on user behaviors. Discover deeper insights about the conversations your audience is having and the context behind them. Pick up on the language they use and the questions or challenges they have. Then, develop your content around those things and share it with them.
3. Automatically Generate Content Briefs Based on Data
One of AI’s crowning achievements is the ability to compare multiple pieces of content and find common denominators, outliers, and other details between them. You can use this to your advantage in creating better, richer content.
One of the key rules of any type of content creation is to look for what hasn’t been done to death. That’s easier said than done in many cases, but AI-enabled consumer intelligence simplifies this process.
Linkfluence can analyze your top-performing content, your competitor’s content, and content from your user base to create in-depth content briefs. You can easily see where you’re performing well and where you can strengthen your content by being more comprehensive. You’ll know what great content looks like and can use that to inspire future articles, social media posts, white papers, and more.
4. Create Content that Answers Real Questions or Solves Real Problems
Traditionally, content marketers have had to be reactive when addressing their customers’ problems, questions, and desires with content. This usually takes a lot of guesswork, as marketers can’t get inside their audience’s minds. With AI-enabled consumer intelligence tools, brands can shift to a forward-thinking content model.
Content isn’t about your brand, nor should it be created for the sake of having content. Rather, the best content is designed for your audience. It answers their questions and solves their problems, all without a hard sell to them. AI can dig deeper into conversations to flesh out these questions and problems, helping brands decide the best approach to address them.
As a result, marketers can shift away from the content creation hamster wheel to creating content that adds real value.
5. Authentically Engage By Learning More about Your Audience
It’s not uncommon for brands to interject themselves in relevant conversations. But customers can see right through brands that do so with the intent to sell or market to their audiences. This lack of authenticity is a trait that isn’t valued in today’s climate.
For brands to remain truly authentic to their audiences, they first need to understand how their audience speaks. The language they use, the topics that matter to them, and the overall sentiments they share all affect how a brand can add value to the conversation.
AI consumer intelligence tools can detect these nuances, which will vary from market to market. This not only adds a new layer to audience segmentation, but it also allows you to contribute value in a way that will be well understood and received by your customers.
6. Enhance Content with Relevant Keywords
Keyword research can be a daunting process. Traditionally, it looks a lot like this:
- Sign up for a keyword tool
- Type a keyword into the tool to see monthly search volume, difficulty rating, etc.
- View a list of keywords related to your query
- Repeat process to find a keyword on which you can compete
That’s the bare bones of keyword research, and it can take a lot of trial and error to find relevant keywords that are within your reach. What’s more, you also need to take into account the user intent for the keywords you choose. If the user intent is missing, then your SEO content isn’t going to perform well.
AI can shorten the keyword research cycle in two ways:
First, it can quickly analyze high-ranking content to find the best keywords to use.
Second, AI can dig deep into the content to find what other related terms those high-ranking pieces are using.
It stands to reason that high-quality, in-depth content about a particular subject will contain certain related keywords. Some of these are easy to guess; others might be buried in the content. AI removes the guesswork of figuring out what other terms to include so that your long-form content ranks higher.
7. Collect More User-Generated Content
User-generated content is gold to a digital marketer. It’s content about their brand for which they essentially didn’t have to pay. Plus, since it usually comes from a satisfied customer or influencer, it carries a heavy weight in terms of trust and authenticity.
AI can help marketers make better use of their user-generated content simply by identifying and collecting it from around the web. AI tools can analyze content in images, for example. If someone posts a product you sell without context, AI can identify it on your behalf. Even if the user didn’t tag you or include your brand name, you can still discover it exists and gain a better perspective on what your users like about your brand.
Cutting Through the Clutter with Linkfluence
Traditional marketing tools can make the content creation process easier. But at the end of the day, those tools are still largely powered by humans. This not only takes precious time, but also relies on human intelligence to make sense of those tools and the data they create.
AI consumer intelligence tools like Linkfluence use the power of AI to amplify content ideation. AI adds context to content, allowing brands to see why certain content is more engaging and higher performing than others.
Discover how AI consumer intelligence from Linkfluence can help you create more engaging content when you schedule a demo.