Meet Damian

I am Damian Kiełbasa, the CTO and co-founder (together with Paweł Sokołowski) of the NeuronWriter and CONTADU platforms.

I started my career as a back-end developer for a large portal. A dozen years ago, I became interested in SEO for my own needs, and later began leveraging my programming skills to create tools for SEO. For the past few years, our most important products have been NeuronWriter and CONTADU.

---

What inspired you to create NeuronWriter?

We started with CONTADU, a content intelligence platform featuring several analytical modules, including content strategy and content writer. It’s a tool designed for creating content strategies, planning content, and writing and optimizing it for SEO.

We noticed that a significant portion of CONTADU users didn’t need all the modules, and the tool in its comprehensive form could be unnecessarily complex for those who only needed to write and optimize content.

NeuronWriter is the content writer module from CONTADU, released as a standalone tool. This turned out to be an excellent decision, enabling us to reach users worldwide.

How does NeuronWriter differentiate itself from competitors in the content optimization space?

When creating NeuronWriter, we developed our own language models and algorithms that play a key role in generating recommendations. As a result, the tool supports virtually every popular language (users can choose from 170 options).

We have often been praised by our users for the precision of our optimization suggestions, which avoid over-optimizing content—a common issue with many of our competitors.

NeuronWriter users also very much appreciate:

• Comprehensive Content Recommendations: Based on in-depth competitor analysis and external knowledge sources, ensuring high relevance and alignment with user intent.
• AI-Powered Content Creation: Combines advanced language models with structured processes for generating high-quality, fact-based content.
• User Control: Offers flexibility for users to oversee key steps in content creation, such as structuring documents, selecting knowledge sources, and finalizing content.
• Precision in Optimization: Provides accurate optimization suggestions that avoid over-optimization, ensuring content remains natural and user-friendly.
• Ease of Use: Simplified workflow and intuitive interface make it easy to use, even for beginners.
• Enhanced Image Generation: Includes AI tools for generating context-aware images with appropriate alt text for improved SEO and accessibility.
• Focus on Value and Authority: Aims to bridge knowledge gaps and deliver valuable content that helps build long-term visibility and domain authority.
• Alignment with Google Standards: Recommendations are designed to comply with Google’s latest algorithms, ensuring content meets current quality requirements.
• Reliability and Flexibility: Highly dependable tool that adapts to the user’s needs, whether they prefer manual input or AI assistance.

How does the AI in NeuronWriter ensure content quality and relevance for SEO?

The tool’s core recommendations are generated based on an in-depth analysis of competitors on Google and external knowledge bases. The process of selecting suggested terms to use in content, entities, and their placement within the structure consists of as many as eight steps.

Only in later stages do we leverage AI.

Once recommendations are generated, the user can decide how much of the content they want to create themselves and how much to generate using our templates, including the Content Designer. Our guidelines, terms, entities, and facts sourced from competitors and the user-selected sources provide valuable input to ensure high-quality content.

What level of customization do users have over the content generated by NeuronWriter?

Using the Content Designer, the user has the ability to accept or make changes at each stage of the content creation process. This includes everything from the title, document structure, knowledge sources, and facts, to the article’s actual content.

Additionally, at the final stage, the user can generate images using AI, which takes into account the context of the image within the content and also generates appropriate alt text.

How do you ensure that the NeuronWriter remains up-to-date with Google’s ever-changing algorithms?

The first step in generating recommendations with NeuronWriter is analyzing Google results for a specific keyword. This ensures that the content used to build optimization suggestions is always aligned with the current version of Google’s algorithm and matches user intent. As a result, Neuron’s recommendations regarding the preferred type of content, expected length, and structure will always be relevant.

At the same time, when it comes to AI-generated content, we implement updates and improvements to enable content creation based on facts and reliable knowledge sources (including those not indexed by Google). This ensures the content provides real value to users and bridges the knowledge gap, which should help achieve long-term visibility and establish the domain’s authority as an expert.

What’s your take on the balance between AI assistance and human creativity when using NeuronWriter?

AI models are becoming increasingly advanced and are undoubtedly capable of automating a significant portion of tasks previously performed by humans. It’s also worth noting that Google no longer intends to penalize content simply for being AI-generated, but rather for being low-quality, adding no value, or being misleading.

I believe a good approach is one where humans oversee the various stages of content creation. This includes having control over the document structure, providing valuable information sources (ideally additional insights not yet available in the SERPs) for generation, and adding the final touches themselves.

What’s a piece of advice you’d give to someone starting their own SaaS company?

Creating SaaS solutions is a significant challenge, especially in today’s era of rapid technological change. In the age of AI, this presents both a tremendous opportunity to grow quickly and a major risk—your product may rapidly become obsolete or be displaced by widely available solutions (such as popular AI models). Let me address two key aspects:

1. Product-Market Fit

Achieving product-market fit is crucial for success. Without it, it becomes exceedingly difficult to thrive. A lack of product-market fit will hinder communication, user education, marketing, sales, and support. It will be a constant drag on all efforts, consuming significant time and resources.

Your product should address a specific, real problem. The rapid pace of technological advancement makes this even more challenging, as the time window during which your solution is truly needed may be very narrow. If you launch three years too early, users may not be ready for it; three years too late, they may no longer need it.

Keep in mind that adapting your product or pivoting early in the process is far less costly than doing so at a later stage. Experiment, run tests, and validate your hypotheses with real users. Develop a clear and easily communicated Unique Selling Proposition (USP). Avoid trying to create a tool that serves everyone or endlessly adding features—this approach often leads to diluted value and inefficiency.

2. Long-Term Perspective in the Age of LLMs

Ask yourself the following questions:

• What sets my solution apart from widely available AI models?
• Could a more advanced version of public AI models pose a threat to my product?
• Does solving the problem require access to unique data that is hard to obtain but that I can provide?

After answering these questions you may understand if the risk that your project may lack long-term viability is very high.

If you could change one thing about the SaaS industry, what would it be?

Today, as technology develops so rapidly and AI availability is so widespread, we can see how new platforms are emerging at an avalanche-like pace. The release of a new product is often a matter of just weeks, rather than many months. Creators’ focus is often on quick monetization without seriously considering whether the offer they present is sustainable in the long term. They compete in making promises that later turn out to be unfulfilled. This is particularly evident in some lifetime offers.

I believe that moderation and common sense are needed from both publishers and customers (during purchasing decisions), which will ensure that the SaaS platforms created have a chance to function in the long run and fulfill the business goals of their users in the long term.

Did you enjoy our interview? Do you have anything to say to our community?

It was a pleasure! I’m glad I had the opportunity to say a few words and perhaps inspire someone—whether to create their own solutions or to sensibly incorporate AI tools into their daily workflow. Best regards to SaaSPirate users, and thank you for supporting our products!