If you’re a content marketer, you’re probably already familiar with AI tools. It’s becoming standard practice to use Plexicity for quick research and Claude for drafting and polishing text. With AI advancing at such a rapid pace, there’s even talk that it could completely replace human writing. Many people are trying out AI-powered blog writing automation themselves, driven by these expectations.
However, when you actually try writing blog posts with AI, you quickly realize it’s not as easy as you thought. The unique tone of AI-generated text often forces you to start over from scratch. And the AI automation processes you set up to write more efficiently can actually end up costing you more time and money. Even after going through all this trouble to complete the content, it may fail to garner any reader response and simply fade into obscurity.
While AI technology continues to advance at a rapid pace, surpassing our wildest imaginations, it cannot simply churn out “great content” with just a few lines of text. In this article, we’ll explore why AI-driven content marketing often falls short of expectations and discuss potential solutions.
The Real Reason Why Writing AI Blog Posts Is Harder Than You Think
While the limitations of AI itself are one reason why AI content marketing fails, it also stems from how AI is utilized and the strategies employed. Let’s take a look at three common causes of failure.
1. Aren’t you just churning out predictable content quickly and efficiently?
When automating content creation with AI, it’s easy to overlook the most important factor: content quality. Because AI learns from vast amounts of data, it can effortlessly generate content on any topic; however, this inevitably means the output tends to be close to the average of that data. As a result, it simply churns out generic, unremarkable content that can be found anywhere.
B2B marketing expert Emily Kramer points out that “most corporate content loses its unique character as it goes through multiple rounds of review, ultimately boiling down to a boring lowest common denominator.” Blog posts written by AI can similarly end up producing nothing more than run-of-the-mill results.
2. The cost of having AI write a single article can be equivalent to three days' worth of labor costs.
Many people expect that replacing human labor with AI will lead to significant cost savings, but the reality may be different. This is because, in addition to AI model subscription fees, there may be additional costs that aren’t immediately apparent.
For example, additional costs may arise from using advanced features such as data analysis, file uploads, and web browsing; using APIs to integrate multiple AI tools; designing and testing complex workflows; and prompt engineering. Furthermore, as usage increases, you’ll need to upgrade to a higher-tier plan or select a more advanced model, causing costs to rise continuously.
Growth Plays LLC, a U.S.-based B2B content agency that champions an "AI-first" approach, had hoped that adopting AI for blog writing would reduce labor costs, but found that generating a single piece of content using an AI-automated workflow sometimes cost as much as three days' worth of labor.
3. Aren’t you just relying on AI without any specific goals?
The root cause of this failure is that people focus solely on AI as a tool, starting the process without a clear goal regarding “what kind of content to create and why.”
The team at Ahrefs, a global SEO SaaS service, shared their experience conducting an experiment with AI-generated content. They used transcripts from their own podcast to have both AI and a human create content. They planned to hold a vote on social media to see whose content performed better. However, the project ended in a complete failure. The quality of all the content produced in this experiment was simply poor.
Tim Soulo of Ahrefs emphasizes that what matters isn’t whether a piece of content was written by AI or a human, but rather why it’s being created and establishing a clear purpose.
Strategy 1: Changing Your Perspective on AI
To overcome the pitfalls of AI-driven blog writing and achieve genuine results, we must first change our perspective on AI. AI is not a silver bullet that replaces content strategy; rather, it is a tool that enables us to execute our strategy more effectively. With this shift in mindset, we must focus on the fundamental question: “What constitutes good content?”
1. AI is not a colleague you can rely on, but a tool you use for work
The first step toward successful AI-assisted blog writing is recognizing that AI is, after all, just a tool. It is not a magic wand that produces perfect results with a simple command. It only demonstrates its true value when used with clear goals and a well-defined strategy.
2. You can’t expect to get everything right on the first try! Continuous process improvement is essential.
To automate blog writing with AI, you need to understand that it’s not a one-time process—it requires continuous improvement and iteration.
Growth Plays LLC, a U.S.-based B2B content agency that champions an "AI-first" approach, has reported that it has implemented 24 improvements while automating its content production workflow. Nevertheless, the company also notes that key areas such as quality control still require human involvement.
The Second Success Strategy – Focus on “Creating Great Content” Rather Than “AI”
As AI becomes more widespread, we must focus even more on the essence of "good content." Kevin Indig, an organic marketing expert, has identified four key criteria for content that stands out in an LLM-based AI search environment.
1. Content that solves customers' problems
One common mistake when running a corporate blog is focusing solely on what we want to say without considering our customers. To create good content, we need to accurately identify the problems our customers are facing and provide in-depth solutions to them.
💡 How to Identify Customer Problems
To solve a customer’s problem, you first need to figure out what the problem is. Here are a few tips you can use to identify the problems your potential customers are facing!
- Conducting customer interviews
This is the most direct and reliable method. Talk one-on-one with actual or potential customers to gain a deep understanding of the challenges they face. - Compiling Frequently Asked Questions from Sales Meetings
Look for insights in the Voice of the Customer (VoC) data collected by your sales team. By compiling questions such as “Does this feature exist?” and “How do other companies handle this?”, you can identify the problems customers frequently encounter. - Collect topics frequently discussed in communities where your potential customers gather
Take a look at online communities, LinkedIn groups, Slack channels, and other platforms where industry professionals gather. Issues people repeatedly bring up, frequently asked questions, and common pain points that resonate with others make for great content topics. - Analyzing Search Data
Use Google Search Console, the Keyword Tool, and other resources to see exactly which search terms people are using to find you. These search terms clearly reflect your customers’ needs.
2. Content featuring our own data and perspectives
You can’t capture the attention of potential customers with content that anyone can find through a simple search. We must share the stories only we can tell and our unique perspective, and become irreplaceable opinion leaders in the market.
Does writing content that incorporates unique perspectives and our own data seem too difficult? Don’t worry. It’s entirely possible if we just look at what we already have from a slightly different angle.
① Conduct internal testing and share the results
When a new, unproven issue emerges in the market, there is no content more powerful than conducting your own experiments and sharing the results.
🧪 Ahrefs' Internal Experiment Article Series
Since the emergence of AI search engines and the resulting confusion in the GEO landscape, Ahrefs has been leading the market by sharing the results of its internal experiments and data. By transparently disclosing these findings at a time when no one else could provide clear answers, the company has established itself as a trusted source of information among industry experts.
② Sharing insights using internal data
The data accumulated within a company is a valuable asset in its own right. Many companies, such as Stibee and Remember, are fostering mutual growth by publishing reports that provide essential information to the industry. They analyze and process data generated on their platforms—such as email marketing statistics and hiring trends—to offer insights to the entire industry. Such content goes beyond simply promoting their products; it solidifies their position as thought leaders who provide indispensable information to the industry.
📕 Elephant Company's Organic Marketing Success Stories
Based on our organic strategy, Elephant Company compiled a success formula based on the results of projects executed in collaboration with our clients and shared a case study collection. By compiling and sharing insights gained from actual projects, potential clients were able to verify our expertise, which naturally led to inquiries.
③ Sharing internal challenges and the process of resolving them
You don’t have to share only perfect success stories. In fact, being honest about the challenges we face and how we overcame them builds greater empathy and trust.
🤯 The Trials and Tribulations of Content Marketing for Collaborations
A post by Callabo, an AI meeting note-taking solution, in which the company candidly shared its trial-and-error experiences with blog content marketing, resonated deeply with many startup marketers facing similar challenges.
This is because it candidly details the challenges I faced along the way—from my failed attempts to write solely out of determination due to a lack of internal resources, to my decision to abandon the idea of outsourcing to an agency due to cost concerns, and the reality that translating foreign content was much harder than I had anticipated.
Raw, unfiltered stories that reflect real-life trials and errors tend to resonate more deeply than guides that simply say, “Just follow these steps!”
④ Share your LessonRun along with your project review
After completing a major project, summarizing and sharing the lessons learned from that experience makes for excellent content.
💡 Review of Elephant Company’s B2B Roadmap 2025 Conference
Elephant Company’s account of planning and executing the B2B Roadmap 2025 conference was more than just a success story. It covered everything from the challenges they faced during the planning phase and the difficulties encountered during execution to how they handled unexpected variables and what they plan to improve next time.
Such candid reflections serve as a practical guide for others in similar roles, while also serving as powerful evidence of our expertise and authenticity.
3. Content that offers an “experience” rather than just a verbal explanation
Good content does more than simply convey information; it encourages readers to take action or have an experience. The experience of “trying it out for yourself” has a far greater impact than simply “reading about how to do it.” By providing content that offers tangible value, we can naturally spark interest in our service.
Example 1) Volta's VAT Calculator
Bolta, a tax invoice issuance service, offers a VAT calculator. By allowing users to enter amounts and calculate VAT themselves, it naturally raises awareness of the Bolta service.
Example 2) Keeper's Store CCTV Quote Calculator
The same applies to the CCTV quote calculator for business ownersoffered by Keeper, a store management service for self-employed business owners. By allowing business owners to calculate CCTV quotes tailored to their specific stores, we help them naturally become aware of the Keeper service and encourage them to switch to it.
Example 3) Elephant Company’s GEO Self-Assessment Checklist
Implementing a product like the quote calculator described above is a challenging task. However, even a simpler checklist or practical guide can still offer significant practical value.
The GEO Self-Assessment Checklistprovided by Elephant Company outlines, step by step, the key areas marketers need to review to prepare for the era of AI search. It even includes a template that automatically generates brand entities in Schema markup format, helping readers move beyond simply reading the content and take immediate action.
4. “Polymorphic” content that can be used across multiple channels for various purposes
Until now, the goal of blog content has been to rank highly on Google and Naver. Moving forward, content must become “polymorphic.” This means a single piece of content must simultaneously serve multiple purposes: being cited by large language models (LLMs), referenced by other websites, influencing users, and driving conversions. Only content strategically designed to be utilized across various platforms and for diverse purposes will survive in the AI era and exert true influence.
Example 1) Xero's Small Business Data Report
The accounting software Xerotracks various metrics relevant to small and medium-sized businesses and presents them in report format. It shares data on revenue growth rates, late payments, employee turnover rates, and wage increase rates, accompanied by visual charts. This content has been produced in a format suitable for citation by various media outlets and has been featured in numerous publications; at the same time, it has garnered a high number of citations in AI search tools.
Example 2) A report by Ramp analyzing the current status of AI adoption and spending patterns among companies
The corporate card service Rampemploys a similar strategy. It regularly publishes data reports analyzing companies’ AI adoption status and spending patterns through the “Ramp AI Index.” These reports are frequently cited by media outlets, demonstrating Ramp’s expertise while establishing it as an authoritative data source in the AI search landscape.
Example 3) The Organic Marketing Playbook published by Elephant Company
The Organic Marketing Playbook published by Elephant Companyis another excellent example of polymorphic content. Published as blog content, it drives search traffic; it spreads across social media via LinkedIn; it serves as sales material during customer consultations; and it even acts as a lead magnet to collect information on potential customers.
Even in the age of AI, what matters most is still "good content."
So far, we’ve explored the reasons why AI-generated blog posts often fall short and the strategies for overcoming these challenges. The conclusion is clear: while AI is an amazing tool, it cannot replace the essence of content marketing. The issue isn’t whether or not to use AI for blog writing, but whether you’re creating “good content” that truly delivers value to your customers. And good content stems from good planning.
Only when AI is used to solve customer problems and create content that embodies our unique value can it become a powerful tool that drives real business results. If you’re interested in a content strategy that leverages AI to deliver tangible results, please feel free to contact Elephant Company anytime.
