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The current page consists of eight competitors in the field of AI indices and tests, along with a brief overview of each. These companies provide reports/benchmarks on the adoption, readiness, investment, innovation and implementation of AI in various industries and regions around the world. Competitors include:


  1. Artificial Intelligence Index: Stanford Institute for Human-Centered Artificial Intelligence

  2. The Global AI Index - Tortoise Media       

  3. OECD.AI

  4. Evident 

  5. IBM Global AI Adoption Index

  6. AIRankings

  7. The Global AI Talent Tracker - MacroPolo

  8. Oxford Insights

Key Takeaways


The reports/benchmarks provided by these organizations cover several aspects of AI adoption, including talent, infrastructure, operating environment, research, development, government strategy, commercial, and responsible AI. Some of the reports are based on surveys of C-level executives from different industries and countries, while others provide data analysis and visualization to track, collate, and distill data relating to AI.


Recommendations to improve our AI platform


Conclusion: It is possible to download not only the entire report, but also its individual sections. Also important and very useful is that they give access to PUBLIC data and give the possibility to view and even download it from the google drive they link to. 

Recommendations: Add access to public data to verify our results and review.


Conclusion:  “TOP TAKEAWAYS” section is part of the report. They are presented in the form of blocks with a short description of the item. 


  1. Don't forget to add TOP TAKEAWAYS. The presentation of TAKEAWAYS can be changed, because in them it is made in the form of non-interactive blocks. We can add to these blocks active links to a certain part where this issue is considered. Thus, the block will become interactive.

  2. We can add to these blocks active links to a certain part where this issue is considered. Thus, the block will become interactive.


Conclusion: There is a brief overview of each chapter in a report with visualizations.  

Recommendations: Break the report into logical parts and present visualizations for each. Make it possible to download individual chapters of the report. This part is useful because we can give additional convenience to the user and give the opportunity to download any logical part of the report.


Conclusion: In the footer of the site, we can view previous reports.

Recommendations: Don't forget to add previous reports and create a certain library that will show what else we are doing.


Conclusion: In the global rating, you can choose the metrics by which you want to see the visualization. All country charts are collected in one place in one interactive chart. It is possible to choose a country and individual indicators. Which makes it possible to focus on information. Filtering is also available: you can see absolute figures or per capita figures. You can also filter by the level of economy and R&D.


  1. Add filtering capabilities to ratings by various indicators.

  2. Consider the possibility of adding similar charts to one with the option of choosing, for example, a country or another useful indicator for the user.


Conclusion:  Quantitative indicators were collected and visualized. These metrics can serve as new ideas for generating benchmarks. In addition, they are collected in one chart with the possibility of selection, which makes it quite convenient to view the information.


  1. Generation of new benchmarks based on the example of competitors (screenshot with topics is presented above). Consideration of parameters in quantitative indicators, and not only in a rating system.

  2. Presentation of AI metrics over time to understand the situation in the AI market.


Conclusion: People section tells about the team that created this product. This can be useful from a marketing point of view and from the point of view of the credibility of the product being presented. 

Recommendations: Consider adding a library of people who have worked on the project for marketing purposes and to build trust in our product.


Conclusion: The ABOUT tab contains photos of the people who lead the organization. The photo is not taken in an official style, but it adds a certain pleasant feeling of security and trust.

Recommendations: The idea of adding a similar photo can be considered.


Conclusion: This index only has benchmarks where it compares countries. One of the visualizations contains a simple ranking of countries by several indicators.

Recommendations: Compare several parameters in one visualization. This will provide a more comprehensive comparison and will enable readers to independently analyze the indicators without the need to open multiple charts repeatedly.


Conclusion: Since this index presents country-based benchmarks, they have nteractive world map on the website for better visualization.

Recommendations: The idea of adding a similar interactive map can be considered. Filters that can be made in a similar way are nicely presented on this map. The map is also clustered using filters. There is quite an interesting classification on this map, it is very unusual, we think we can use similar methods to obtain similar classifications.


Conclusion: This section contains two parts: advisors and conversations. Advisors are experts from a variety of sectors, ranging from industry and academia to government, that help Tortoise Media to create this index. Each expert offers a unique perspective on the opportunities and challenges posed by artificial intelligence. On the website, each of them is presented with his photo, place of work, and position. Conversations are articles, where the Tortoise Intelligence team is in conversation with other AI experts. Each of them is presented on the website with a photo of an AI expert, his place of work, position, and name of the article with a link.  

Recommendations: Create a similar section on our website (probably with other types of people). This will help us build trust, visitors can see that the organization is transparent and open. Also, this can help us in the humanization of the brand, people relate better to other people than to faceless organizations.


Conclusion: Website is easy to read due to the small scale of the charts and buttons. At the first stage, the user gets acquainted with the tools, and he does not need to see the details in the work of all the tools.


  1. Place different data representations on one page. This will make it easier to analyze and compare different charts in search of insights. For example, graphs of scientific publications related to AI, divided by country, and in a specific country.

  2. Reduce the scale of all elements so that the user can see all the potential toolkit of our product.


Conclusion: The data for AI policies is presented "as is" - in the form of news and texts about AI policy. Data in this form does not allow for a comparison of countries on AI policies. 

Recommendations: It would be more promising to give, in addition to news and texts, numerical metrics for assessing the state regulation of AI. Thus, it would be possible to compare countries according to the prospects for the development of AI. Our project provides such an opportunity.


Conclusion: They have regularly updated part of the site with posts, in which experts describe various trends and news. 

Recommendations: This is an important part of the site, because in the absence of major updates to the methodology and tools, this part of the site allows you to create the appearance of liveliness and activity of the website and company. This part will arouse the interest of the user, and the user will not forget and switch to other, more frequently updated, sources.


Conclusion: On the second page of the website, a fairly extensive, yet well-read analytics on the largest companies in the sector is provided. It's a good way to lure customers in by placing an example of analytics as close to the website entrance as possible.This frame is also interactive. It changes according to the filters. There is also a breakdown by category, which is quite unusual in the calculation for quantitative indicators, but they are quite interesting.

Recommendations: We should consider placing the analytics of the largest companies on one of the main pages as well. This can help us build trust with our audience and demonstrate to potential customers that we have a deep understanding of the market.


Conclusion: Short description of “what we do” is presented on the website. 

Recommendations: We should add this feature to our website because it will help the client understand much faster what services we can provide to them.               


Conclusion: Key takeaways block on the website a very important and convenient block that provides the reader with the most important information quickly enough. The IBM Global AI Adoption Index website does it quite clearly and concisely.

Recommendations: We should consider adding a similar section on our website, which can assist our readers in swiftly comprehending the key takeaways, thereby fostering stronger loyalty and engagement.


Conclusion: On the website presented the description of the key components of the report - a brief summary of the report's parts and the corresponding graph for each of them.

Recommendations: We can take examples of useful and beautiful graphs from this section for our website, this will help readers fully understand main points of the report.


Conclusion: The report contains brief statistics that stand out, convey important information, and have a restrained, concise design.

Recommendations: We can take examples of useful and beautiful graphs from this section for our website. By incorporating brief statistics that are presented in a visually compelling and easy-to-understand format, we can enhance the impact of our reports and ensure that important information is effectively conveyed to our audience.


Conclusion: The pages of the report are not overloaded with information - there is a lot of space, but the text is informative and logically divided.

Recommendations: We can take examples and create high-information parts of our reports in a similar style. This approach will help us deliver information to the reader in efficient way.


Conclusion: AIRankings uses an informative display system by institution, city, and country.

Recommendations: We can use a similar format for our product. The laconic design, minimal number of buttons, and informative indicators make it easy to understand what is being discussed.


Conclusion: MarcoPolo presented a good animated infographic, that can make information more readable. In this example, the animation shows the migration of specialists from the AI industry to other countries. And we don't need to read the description of this animation to understand it.

Recommendations: Consider incorporating animated infographics. We can effectively communicate complex data and ideas in a concise and engaging way, while also making the content more accessible and user-friendly.


Conclusion: The site provides insights derived from the data. For a potential user, it will be an incentive that in addition to raw data, we can provide some kind of result obtained from our data. This demonstrates its value.

Recommendations: We can use a similar idea to represent the main insights for our product. This will help those readers, that don’t want/don’t have time to read full version of the report and will increase their engagement.


Conclusion: They provide a small list of insights that are in the report.

Recommendations: We should provide such a list on the website for our reports, because this can fuel interest in certain topics that are given in the article.


Conclusion: Visualization throughout the world corresponds to the general style of colors and does not particularly stand out from the general appearance. 

Recommendations: We should take into account that this approach gives the impression of high-quality work and also use a fairly simple, uniform color palette.

Competitive Analysis, Benchmarks
Full version of competitive analysis

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