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Zebra BI's AI-generated Content Venture: Leading the Way with Innovation and Expertise

By Sandra Simonovic • Last updated

As the digital landscape rapidly evolves, integrating AI technology has become essential for businesses striving to stay ahead of the curve. At Zebra BI, we've embraced this transformative power of AI, recognizing its vital role in reshaping content creation and the business intelligence industry.

With this experiment, we aimed to leverage the potential of AI, aligning our content precisely with the needs and preferences of our users, ensuring that we continue to provide the highest level of relevance.

Join us for this brief exploration of our journey, which reflects our dedication to staying at the forefront of innovation.

The Experiment

We used an AI article writer for our Guide section to identify audience-relevant keywords and topics in business intelligence. This experiment assessed AI's potential and constraints in producing informative, SEO-friendly guides across various categories like FP&A tutorials, software how-tos, consulting reports, and more.

Decision-making Process

After researching various AI tools, we opted for the AI article writer due to its capacity to manage extensive content production, a task that would be challenging to accomplish manually. The efficiency and versatility of the AI tool made it the ideal solution for our requirements.


The implementation aimed to leverage AI technology to generate informative and engaging content. We focused on Power BI, Excel, and PowerPoint, addressing various topics we anticipated would benefit our users—the process largely automated content creation, with AI producing initial drafts that our team then refined.

SEO Strategy and Initial Outcomes

Our journey began not with a goal to increase website traffic merely but to forge deeper connections with our audience through content that resonates with their needs and preferences. Recognizing the significance of relevance, our AI-driven content initiative was rooted in our commitment to understand and cater to the business intelligence community, with increased engagement as a natural outcome.

Identifying keywords and trending topics, we would then adjust our SEO strategy accordingly to improve our visibility on search engines. This approach aims to attract more users to our website, and we plan to utilize the insights gained from user search behavior to plan our content strategy.

Initially, the signs were promising. Traffic to our guides section grew, user engagement increased, and some content received highly positive feedback. It appeared that we were heading in the right direction with AI.

However, we soon encountered an issue with content quality and consistency. The team highlighted that some AI-generated content didn't meet our standards or fully satisfy our users' expectations.

Feedback and Response

The feedback we collected from our AI article writer experiment, especially regarding our Guide section, was essential for our progress. Just as we gather feedback on our products to drive product development, we also value feedback on our articles to enhance their quality. Based on user feedback, we refine our products and our content to ensure relevance and value.

Gathering feedback

A feedback form has been implemented on our website, allowing users to share their perspectives on the guides provided. The form contains straightforward, simple questions designed to assess the article's usefulness, the accuracy of the information, and areas for potential improvement.

The received responses, totaling around 2,000 to date, reflected diverse perspectives: some users praised the guides, while the majority highlighted deficiencies in depth or accuracy.

Analyze, Respond, Adjust

Upon analyzing the feedback, a clear pattern emerged: while some AI-generated content resonated with our audience, a significant portion received criticism for lacking depth, accuracy, or relevance. This highlighted a crucial issue: inconsistency in content quality. We openly acknowledged the shortcomings within the team. To address this, we promptly initiated discussions involving content creators, SEO experts, and BI Specialists to examine the feedback and implement necessary changes thoroughly.

In response, each guide flagged as not helpful or somewhat helpful underwent thorough human review. Our dedicated BI Specialist carefully examined every piece, prompted suggested revisions to the writer, and conducted a final check before publication.

Communication and Moving Forward

We've been open with our audience about these changes. It shows we're committed to providing high-quality content and are always ready to listen and adapt.

This whole phase was a learning curve for Zebra BI. It showed us the value of user feedback in shaping our content and the importance of staying adaptable and focused on our users.

Lessons Learned and the Way Forward

As we advance on our journey, we're actively engaged in AI-driven content creation, gathering invaluable insights and shaping a forward-looking strategy. Our experience with AI article writers has enhanced our understanding and transformed our approach to delivering high-quality, impactful content.

Upholding Quality with a Blend of AI and Human Expertise

Quality has always been the cornerstone of our content strategy, and this remains unchanged. While the AI article writer excels at generating a high volume of content, it operates within the framework of our principle that quality matters more than quantity.

Our strategy is to strike the right balance between AI efficiency and human insight. While AI contributes to speed and volume, human touch adds depth, context, and connection. This collaborative approach means our team constantly enhances and validates AI-generated content, ensuring it aligns with Zebra BI's standards and truly engages our audience.

Learning and Adapting: From User Feedback to Balanced Innovation

Feedback from our users has been pivotal. It has illuminated what works and what doesn't, enabling us to tailor our content more effectively to our audience's needs and preferences. This feedback loop is a necessary part of our strategy, as it helps us stay aligned with user expectations and SEO trends.

Transparency in our process, including acknowledging areas needing improvement, builds trust. Being open about our AI journey fosters a stronger connection with our audience.

Commitment to Continuous Improvement and User-centricity

Our focus on leading and leveraging innovation remains strong as we progress. We understand AI as a powerful tool, not a replacement for human creativity and understanding. Our content strategy is continuously monitored and adapted to stay relevant and impactful.

In essence, Zebra BI's content journey is marked by our dedication to excellence through the balanced use of AI and human expertise and our ongoing effort to meet our audience's evolving needs. As we move forward, we remain dedicated to setting high standards in content creation and maintaining our leadership in the industry.

Mirroring our approach to product development, we view content creation as a dynamic process driven by user feedback. Just as customer insights inform the evolution of our BI tools, they also refine our content. This commitment to listening and adapting has led to tangible improvements, such as the introduction of more in-depth tutorials in response to requests for advanced analytical techniques.


As we conclude this case study, it is essential to reaffirm the core values that drive us at Zebra BI. Our dedication to innovation, quality, and putting users first. The insights gained from this experience with AI content tools have deepened our expertise.

Our aim is to consistently deliver top-tier business intelligence solutions along with quality content that educates, informs, and empowers our users. We are aware that the true significance/value of our work is in its ability to affect our audience's knowledge and decision-making processes positively. Our persistence extends beyond mere words; it is evident in every piece of content we produce and in the solutions we develop.

AI's Role in Shaping Content Creation and the Industry

Looking ahead, we are enthusiastic about the impact of AI on shaping content creation and the business intelligence industry. AI technologies have transformed content creation by automating repetitive tasks, optimizing content performance, facilitating content discovery, and enabling content production. AI is enabling businesses to extract deeper insights from data, automate processes, personalize experiences, and drive better decision-making.

As AI continues to evolve, its potential to enhance content creation processes will only increase, their impact on BI will grow, leading to increased efficiency, innovation, and competitive advantage for organizations that embrace them.

We believe embracing AI while maintaining a focus on human experience and expertise is crucial for driving innovation and progress.

As pioneers in business intelligence innovation, we are proud to introduce Zebra AI. With this cutting-edge, actionable reporting tool powered by AI, we continue to advance our technology leadership. Zebra AI offers a range of features, including trend recognition, instant data comprehension, AI-driven chat functionalities for deeper insights, and the creation of dynamic, visually captivating dashboards exportable to PowerPoint. Our platform is currently in beta, providing early access to users. Feel free to apply now to become a beta tester!

We're enthusiastic about expanding boundaries and establishing new benchmarks in our industry. At Zebra BI, we are not just adapting to changes, but we are leading the innovation, driving the industry forward, and influencing the future of business intelligence.

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