Content marketing is a form of marketing that involves creating content of any variety intended to draw attention to a product or service. Some examples of this are whitepaper downloads, newsletters, blogs, videos, podcasts, and other forms of content used to drive interest.
Content marketing has grown because it meets customers where they are—online, in control, and seeking value—while also delivering cost-effective, measurable, and long-term business benefits.
There were several trends that converged to drive marketers to embrace content marketing:
- Buyers were increasingly tuning out traditional ads (banner blindness, skipping commercials, using ad blockers). Content marketing provides value instead of interruption.
- People prefer to buy from brands that demonstrate knowledge and credibility through blogs, videos, podcasts, and whitepapers.
- Buyers now research extensively before making a purchase (B2C and B2B). Quality content, properly sequenced answers their questions at each stage of the customer journey.
- A single well-written article or video can generate leads and sales for years, unlike paid ads that stop working when spending stops.
- Industry studies show content marketing costs significantly less than other forms of outbound marketing and generates more leads.
- Search algorithms increasingly reward relevant, high-quality, and authoritative content. Businesses that publish consistent content rank higher and get free organic traffic.
- Content like infographics, videos, and case studies can spread quickly across platforms, extending reach organically.
- Sharing content fosters ongoing conversations and creates loyal online communities.
- Content allows segmentation (e.g., tailored guides for beginners vs. experts), enhancing relevance and conversions.
- Longer Buyer Journeys, especially in B2B, buyers want detailed case studies, ROI calculators, and whitepapers before engaging with sales.
- Control of the Narrative: Companies can educate buyers instead of relying on third-party media.
- Humanizes Brands: Storytelling and thought leadership content helps companies connect emotionally with audiences.
- In crowded markets, valuable content makes a brand stand out beyond price and features.
- Newsletters, LinkedIn posts, and lead nurture campaigns all depend on strong content.
- Content provides landing pages, lead magnets, and remarketing material that make ads more effective.
Because of the inherent challenges that come with making lots of content, artificial intelligence is a great way to get ahead in a couple of ways.
Data Analytics
Data analysis has 2 primary components; data acquisition and data interpretation. Artificial intelligence is very good at doing repetitive tasks. Data interpretation is made up of repetitive tasks. AI can clean and categorize data much faster than a human, or even a group of humans, can. Once the data is collected, figuring out what the major points of interest are is a matter of running the numbers and finding trends. Where is most of the traffic coming from? Which form of content was the most successful at drawing attention? Which content was the best at getting sales? All of this information is easy for AI to figure out.
Task Automation
One of the most frequently used aspects of artificial intelligence is task automation. For example, chat summarization, meal planning based on what ingredients are available, document drafting, and form filling are all things that AI can do automatically. Something notable these tasks all have in common is that they are based on defined variables and given specific instructions. Meal planning takes food items, document drafts ask for the kind of document, and forms especially are easy for AI to complete as long as they have the relevant information.
The tasks that AI can automate related to content marketing include:
Data analysis, as discussed above. AI can work exceptionally well with numbers and defined rules, so finding trends is easy. When fed data, AI can read through all of it and provide detailed analysis, often faster than a human would be able to.
Search engine optimization (SEO). AI is good at identifying keywords. As discussed before, identifying trends is easy, so finding trending keywords is well within its capabilities. For published articles, AI can provide good keywords to improve SEO.
Content summarization. AI is able to condense existing content for the same reason it’s good at identifying keywords. It can read content, figure out what the content is about, and pull out important details. When catching up on missed messages, AI can write a quick summary of what was covered since the last read message.
Creating outlines. AI is good at creating outlines for the same reasons it’s good at summarizing content. If the AI is told what needs to be done, it can provide common steps that are generally associated with that process, whatever it is.
Articulating objectives. Similar to content summarization, AI is able to articulate existing content in different ways. AI is trained on massive amounts of data which it uses to learn what things are related to each other, which it can then use to determine and define objectives that are relevant. If something is difficult to articulate, AI can figure out new ways to present it to make it easier for more people to understand.
Identifying prospects based on those objectives. AI is good at figuring out things that are related to each other, as mentioned above. If AI is given objectives, it can pick out common steps to best meet those objectives.
Identifying surface level pain points and needs. Similar to identifying prospects, if the AI is given objectives, it can identify common places where issues occur in similar situations.
Identifying products or tools that can help. Combination of prospects and pain points examples; AI can use information about specific situations to find tools that are commonly used or seem especially effective at whatever tasks are required.
Suggesting content types and topics that make sense. Same as identifying prospects. This could be considered an example of an identified prospect. AI can determine what type of content makes the most sense given goals and needs. For example, a video showcasing a tool being used to great success might be considered more effective than an article describing how great the same tool is.
In some cases, create the content. Depending on the content, AI can range from helping with research to creating it completely. As an example, the IBM page on AI uses an AI generated image.
Analyze content performance in real time, adjusting as needed. AI can see that a certain keyword drives much more traffic than others, and revise keywords on other content pieces to take advantage of that discovery.
Creating campaign reports. When a content campaign is completed, AI can use all the data gathered to identify trends, results, and recommendations for the future.
Marketers can scale sophisticated content marketing programs using AI that would have previously been prohibitively time-consuming to plan, execute and measure. Some of the challenges going forward include maintaining authenticity of brand voice, and competition for attention and differentiation in an increasingly crowded information landscape — as marketers push more content through their distribution channels.
