Ai on the run: Ai's running shoe brand preference

In short

ChatGPT-4's brand preference on running shoe brands. Conducted through questions in six areas, spanning from performance related, runner persona to economic and environmental factors.

Model(s)

ChatGPT-4

Date of data collection

8th February 2024

Brands in report

Brooks, ASICS, Nike, Adidas, Salomon, Hoka, Altra, La Sportiva, Inov-8, Merrell, Saucony, New Balance, Allbirds, Veja, ON, Topo, Newton, Vibram

Overall, ChatGPT brand preference in running shoes is Brooks.

Brooks is recommended in 92% of the answers, Saucony at 84%. Asics and Nike in third, being recommended 74% of the times.

Question areas to reveal brand preference

Questions areas was form to create juxtapositions for the Ai to have preferences at. For an example: What running shoe that is favoured for professional athlete versus What is a great shoe for beginners. Despite the variations in attributes, Brooks came out as clear winner in the research.

  • Performance and Usage | (Ex. used by athletes, high performance shoe)
  • Design and Technology| (Ex. Innovation, newness)
  • Runner Persona | (Ex. Beginner, marathon, wide feet)
  • Special Considerations | (Ex. For injury prevention, for we conditions)
  • Economic and Environmental Considerations | (Ex. sustainable, budget))
  • General Inquiry | (Ex. Overall best shoe, recommend shoe)

What attributes does weigh in in brand choice?

In summary, the AI's recommendations for running shoe brands are influenced by a blend of technical performance, brand reputation, specialization in running products, and the breadth of the product range. These factors together suggest a nuanced approach to selecting brands, aiming to match runners with shoes that offer the best combination of performance, comfort, and suitability for their individual needs and preferences.

Technical Attributes and Quality

High importance of the technical attributes and quality of the running shoes. This suggests that when choosing brands, the AI places significant emphasis on the functional aspects that directly impact a runner's experience and performance. Brands that are known for providing exceptional cushioning and support, as well as enhancing athletic performance, are likely to be recommended.

Brand Reputation and Community Trust

The analysis shows a clear consideration of a brand's reputation within the running community. This indicates that the AI values how well-regarded a brand is among runners, considering user reviews, expert opinions, and community recommendations. A strong reputation can be a proxy for quality, reliability, and customer satisfaction.

Specialization and Focus on Running

A preference for brands that specialize in or have a strong focus on running shoes. This could mean that brands dedicated to running or with a significant portion of their product line aimed at runners are seen as more credible or likely to offer superior products for running activities.

Product Range and Options

The AI considers the range of products a brand offers. A diverse range of options allows for a better fit for individual preferences, foot types, and running conditions. This suggests that brands with a wide selection of running shoes, catering to different needs (such as trail running, racing, or training), are preferred.

Where's Puma, Reebok and Skechers at?

Notably is that only 18 brands are ever mentioned. This excludes many global running shoe brands such as Puma, Reebook, Under Armour & Sketchers.

More findings in the report

Beyond this, the full report reveals:

  • Brand preference per questions area
  • Key data to influence Ai
  • Key sources of data used by Ai to determine its brand preference

Methodology

Fresh OpenAi account. Six engineered questions areas, asked in new chats independently. Each question has a following five questions to determine data source, weight of data source & identify actual sources. Backengineer responses to estimate weight of sources.

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