Why Can AI Misdescribe Your Company and How Can You Fix It?

In the past, if a potential client wanted to learn more about a company, they would visit its official website, review its services, read about the team's experience, and compare multiple sources before making a decision.

Today, however, more and more users are taking a different approach.

Instead of browsing dozens of web pages, they ask an artificial intelligence system a direct question:

• Who is this company?

• What does it do?

• Is it trustworthy?

• Can it help me with my project?

• What makes it different from other similar companies?

The answer they receive may become their first impression of the brand. The problem is that this answer does not always fully reflect reality.

Not because artificial intelligence is "lying," but because it attempts to synthesise publicly available information, which may be incomplete, unclear, or scattered across different sources.

In the guide "How Does AI Influence a Company's Reputation? A Complete Guide for Brands That Want to Be Understood, Cited, and Recommended Accurately" we explored the broader impact of artificial intelligence on digital reputation. In this article, we take the discussion a step further and answer a highly practical question: why can AI misdescribe your company, and what can you do to improve this situation?

Contents

1. AI Does Not Simply Copy Your Website

2. Why Two AI Platforms May Describe the Same Company Differently

3. Practical Case Study: How Mirio Development Is Described

4. Why Can AI Misdescribe Your Company? The Main Reasons

5. How You Can Help AI Better Understand Your Company

6. Conclusion

7. Frequently Asked Questions

1. AI Does Not Simply Copy Your Website

One of the most common misconceptions is that ChatGPT, Gemini, Google AI Mode, Claude, or Perplexity simply copy the text from a company's homepage.

In reality, the process is far more complex.

These systems attempt to generate a useful response for the user by synthesising information from the sources they consider relevant and creating their own description.

As a result, the response is not a copy of an existing page but rather an interpretation based on the available context.

This mechanism explains why two different AI platforms may provide different descriptions of the same brand.

2. Why Two AI Platforms May Describe the Same Company Differently?

If you ask the same question across multiple AI platforms, you may receive answers that are similar in their overall meaning but differ in wording and emphasis.

Some models may focus on the company's core services, others on its industry, while others may highlight its experience, sector expertise, or target audience.

This does not automatically mean that one of the responses is incorrect. In many cases, each system simply considers different details to be more relevant.

However, when clear explanations are missing or the information ecosystem is inconsistent, AI may produce oversimplified descriptions or representations that do not accurately reflect the company's actual activities.

3. Practical Case Study: How Mirio Development Is Described?

To better understand this phenomenon, we can examine the case of Mirio Development itself.

When asked questions such as:

• "Who is Mirio Development?"

• "What is Mirio Development?"

• "What does Mirio Development do?"

AI platforms generate answers that are broadly similar, but not identical.

In some cases, the company is described as a digital agency specialising in website development and SEO. In others, the emphasis is placed on digital marketing, search engine optimisation, or online presence consulting.

There are also instances where it is referred to as a "software development company," even though this description does not fully reflect the company's actual activities or strategic positioning.

These differences highlight an important point: AI does not reproduce an official definition. Instead, it builds an interpretation based on the information it is able to identify, correlate, and synthesise.

For example, ChatGPT states:

and Gemini says:

4. Why Can AI Misdescribe Your Company? The Main Reasons

When a brand is described incompletely by AI, the problem does not always lie with the artificial intelligence model itself.

In many cases, the underlying cause is the way the company communicates online.

Some of the most common situations include:

• general descriptions that rely on phrases such as "comprehensive services" or "tailored solutions" without providing concrete explanations;

• a lack of guides and educational content;

• very brief service pages;

• the absence of case studies;

• a lack of external validation;

• inconsistencies between the messages published on the website, in articles, or across the company's public profiles;

• outdated content that no longer reflects the company's current activities.

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When these issues accumulate, AI may construct an incomplete picture of the business or overlook the very elements that differentiate it from competitors.

5. How You Can Help AI Better Understand Your Company

There is no way to directly control the answers generated by artificial intelligence.

However, there are many ways to improve the quality of the publicly available information about your business and, consequently, increase the likelihood that your company will be represented more accurately.

Some practical recommendations include:

• explain your services in detail rather than relying on marketing slogans;

• publish guides that answer your clients' real questions;

• develop well-documented case studies;

• maintain consistency across your website, articles, and external profiles;

• regularly update outdated content;

• obtain editorial validation and mentions in reputable publications;

• periodically check how your company is described by ChatGPT, Gemini, Google AI Mode, or Perplexity.

An example of an approach based on structured, explanatory content can also be found in the guide "How to Be Cited by AI" which explains how information clarity and proper documentation can contribute to a more accurate representation in AI-generated responses.

In the case of Mirio Development, the development of an ecosystem consisting of comprehensive guides, specialised articles, case studies, and editorial publications has contributed to increasingly accurate descriptions that better reflect the company's intended positioning:

6. Conclusion

The fact that AI describes a company incompletely or imperfectly does not necessarily mean that there is a technical error.

In most cases, it is a sign that the brand's information ecosystem can be improved.

Companies that publish clear explanations, document their expertise through case studies, maintain consistent messaging, and invest in useful content are more likely to be understood accurately by both users and AI systems.

At a time when an increasing number of research and purchasing journeys begin with a question directed at artificial intelligence, information clarity is becoming just as important as online visibility.

For a broader perspective on how artificial intelligence can influence the perception of a brand, you may also wish to read the guide "How Does AI Influence a Company's Reputation?", which explores the relationship between content, reputation, trust, and the way AI systems interpret publicly available information.

Frequently Asked Questions

Can AI misdescribe a company?

Yes. If the publicly available information is incomplete, contradictory, or insufficiently explained, AI-generated responses may omit important details or oversimplify the company's activities.

Why do ChatGPT, Gemini, and Google AI Mode sometimes provide different answers?

Each system uses its own methods to interpret and synthesise information. Even when they rely on similar sources, they may place emphasis on different aspects of a company's activities, expertise, or positioning.

How can I check how my company is being presented?

Regularly test questions such as:

• "Who is Company X?"

• "What does Company X do?"

• "Is Company X the right choice for my project?"

Ask these questions across multiple AI platforms and compare the responses you receive.

Can I directly control what AI says about my company?

No. However, you can indirectly influence the quality of AI-generated responses by publishing clear, up-to-date, and well-documented content, supported by case studies, educational guides, and credible external validation.

Is a well-designed website enough?

No. A website provides the foundation, but in the AI era it is equally important to build a coherent information ecosystem that includes explanatory content, practical examples, credible external sources, and ongoing updates.