Competitor monitoring, part 3
Can competitor monitoring rely solely on artificial intelligence?
Competitor monitoring should not rely solely on artificial intelligence, because AI speeds up work with information but does not replace verifying sources and assessing the quality of information.
Today, competitor monitoring can be started in a few seconds. All you need to do is type a prompt into a search engine or an AI tool: "prepare a report on my competitors". The answer will probably appear almost instantly. The problem begins, however, when you have to answer a much more important question: is the information in such a report true, up to date and reliable enough to base business decisions on?
Artificial intelligence can significantly speed up work with information and help organise data, compile summaries and find relationships. It does not, however, replace the process of verifying sources and assessing the quality of information. In competitor monitoring this is particularly important. A wrong price, an outdated company location, wrongly attributed information or a misinterpreted document can lead to wrong conclusions and, as a result, to poor decisions.
Is a competitor report generated by AI correct?
AI can generate a report but does not guarantee it is correct: figures, registered offices or contact details may come from an old source, refer to a different period or simply be wrong.
One of the greatest risks of automated report generation is incorrect or outdated information presented in a way that makes it look credible. This applies above all to figures: revenue, market shares, number of customers, employment, prices and other parameters used in competitor analysis. Information can look very precise and at the same time come from an old source, refer to a different period or simply be wrong. The problem is not limited to numbers, however. A tool may correctly identify a company but assign it the wrong registered office, contact details or information taken from an outdated listing. If there are dozens or hundreds of such records, an error in a single piece of information starts to affect the whole picture of the market being analysed. That is why an automatically generated database should not be treated as a finished analysis. It is raw material that requires further verification.
Why does the source of information matter in competitor monitoring?
The source is as important as the information itself, because you need to establish where it comes from, when it was published, what it refers to and whether another source confirms it.
The second problem is using conflicting sources without properly assessing their reliability. On the internet, the same company, product or event can be described in many ways. Some information comes from official documents, other information from the media, industry portals, databases, forums, marketing materials or content published by users themselves. Finding information therefore does not mean it can be used in a report. You need to establish where it comes from, when it was published, what exactly it refers to and whether it can be confirmed in another source. A similar problem arises when analysing documents. An AI tool can present a very convincing interpretation of a contract, report or terms and conditions, and then attribute to the document a provision that is not actually in it. For the user, this means applying a simple rule: the more important the information is for a business decision, the greater the need to check it independently.
Why can't AI tools see the whole market?
AI does not see the whole market because a lot of valuable business data is not publicly available online but held in paid databases, industry reports, subscription services and other closed sources.
Another limitation is access to information. A lot of valuable business data is not publicly available online. It may be held in paid databases, industry reports, subscription services, archives, registers requiring additional access or other closed sources. If the tool has no access to them, its picture of the market will be incomplete. This is particularly important in more advanced competitor monitoring. An analysis based solely on easily accessible websites may show mainly companies' marketing activities, while the most important information on their results, investments, business structure or market position lies elsewhere. Automation therefore does not solve the problem of access to information. It can, however, create the impression that the available material is complete, although in reality it covers only part of the market.
Is an analyst still needed in competitor monitoring?
An analyst is still essential, because artificial intelligence does not eliminate the analyst's work but changes its nature, and the final assessment of information should be made by a person.
The development of artificial intelligence does not eliminate the need for an analyst's work. Rather, it changes its nature. Some time-consuming tasks can be automated. Tools can help organise information, classify data, summarise documents, create first drafts or point to potential relationships. The final assessment, however, should be made by a person. The analyst should verify whether the sources actually confirm the information presented, whether the data refers to the right period and entity, and whether the conclusions follow from the material on which they are based. This matters more and more because the amount of online content created with the help of artificial intelligence is growing. A tool may therefore use information that was itself generated automatically and then copied to other places. As a result, a large number of similar results does not necessarily mean that a piece of information is true. It may only indicate that the same error has been repeated many times.
How do you check whether a monitoring report is reliable?
A reliable monitoring report states its data sources, has been verified by a person, includes conclusions and recommendations, and makes clear who prepared it and how.
A good report should allow the reader to assess where the information in it comes from and how it was collected. The first element is the data sources. Information without a stated basis can be difficult to verify, even if it sounds convincing. The second is human verification. Using artificial intelligence need not be a problem if the data has then been checked and confirmed by the person preparing the analysis. The third element is conclusions and recommendations. Monitoring should not end with a table of competitors' prices, a list of advertising campaigns or a list of new products. The greatest value comes when the data gathered helps answer the question: what does this information mean for our business? It also matters whether you know who prepared the report and how. The author's signature is not just a formality. It means that a specific person or team is responsible for collecting and assessing the information and for the conclusions presented. Without this stage, the recipient of the report would in practice have to check every piece of information themselves before using it in decision-making.
Why should competitor monitoring be a continuous process?
Competitor monitoring should work as a loop of observe → analyse → decide → act, because the market changes constantly and a report only shows the situation at a given moment.
Another mistake is treating monitoring as a single task carried out once every few years. The market changes constantly. Competitors launch new products, change prices, start campaigns, change sales channels, hire new staff, make acquisitions or enter new markets. A report therefore shows the situation at a given moment. Over time, some of the information in it becomes outdated. That is why monitoring should work as a continuous improvement loop:
observe → analyse → decide → act.
Once action has been taken, the process starts again. The company observes the market's reaction, analyses the effects of its own decisions and its competitors' actions, and on this basis prepares the next step. This is exactly what distinguishes monitoring from a one-off competitor analysis.
Does collecting competitor data alone give a competitive advantage?
Collecting data alone does not give a competitive advantage, which comes from the quality, timeliness and correct interpretation of information rather than the amount gathered.
Access to artificial intelligence tools has made it much easier to prepare a basic summary of competitors. However, good monitoring has not become equally easy. The advantage comes from the quality, timeliness and correct interpretation of information, not from the amount gathered. An automatically generated report may look professional and contain dozens of pages of text, tables and recommendations, while at the same time being based on outdated data or misinterpreted sources. That is why artificial intelligence should support competitor monitoring, not replace the entire analytical process.
What business value should competitor monitoring deliver?
Competitor monitoring should help identify changes earlier, reduce the risk of wrong decisions, point to new opportunities and provide the knowledge needed to act.
If a company decides to invest time and money in competitor monitoring, the result should not be yet another document filed away on a drive. A report should help identify changes earlier, reduce the risk of wrong decisions, point to new opportunities and provide the knowledge needed to act. Large companies often have extensive market monitoring processes precisely because decisions taken without knowledge of the environment can be costly. At the same time, the relationship can be seen the other way round: some companies reached their scale precisely because they learned early on to observe the market and respond appropriately to emerging signals. Effective competitor monitoring therefore takes more than typing a single prompt into an AI tool and accepting the generated answer. It is a continuous process of collecting, verifying and interpreting information, which should result in better business decisions.
Audio material generated with the use of artificial intelligence based on the webinar "Competitor monitoring in 3 simple steps" of 28 July 2026, hosted by Rafał Wiśniewski, Managing Partner of MarketHub Sp. z o.o.; edited by Katarzyna Kucia
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