Which AI model is best for shopping recommendations?
Asked "Which AI model is best for shopping recommendations?", ChatGPT, Copilot, Gemini, Google AI Mode and Perplexity named 28 distinct names across 10 answers on September 8, 2026, and 11 of them in two or more answers, and all 5 engines agreed on ChatGPT, the only name every engine named.
11 of 28 names confirmed · named in 2 or more of 10 answers · asked September 8, 2026 · 5 engines
The best AI model for shopping depends on the specific needs and goals of the user, such as research, price tracking, or on-site shopping. General-purpose models like ChatGPT and Perplexity excel in different areas, while specialized models like Amazon Rufus and Google Gemini are optimized for specific tasks. The ideal choice also depends on factors like data sources, accuracy, and speed.
- 1ChatGPTnamed in 9 of 10 answers
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- 2Google Gemininamed in 6 of 10 answers
- 3Perplexitynamed in 6 of 10 answers
- 4Claudenamed in 4 of 10 answers
- 5Amazon Rufusnamed in 3 of 10 answers
- 6Amazonnamed in 3 of 10 answers
- 7Rep AInamed in 3 of 10 answers
- 8Google Shoppingnamed in 2 of 10 answers
- 9Perplexity Shoppingnamed in 2 of 10 answers
- 10Gorgias AInamed in 2 of 10 answers
- 11Octane AInamed in 2 of 10 answers
- 12Perplexity AInamed in 1 of 10 answersone answer
- 13Shopify Magicnamed in 1 of 10 answersone answer
- 14Fin by Intercomnamed in 1 of 10 answersone answer
- 15Gemininamed in 1 of 10 answersone answer
- 16Nostonamed in 1 of 10 answersone answer
- 17Rufusnamed in 1 of 10 answersone answer
- 18Dynamic Yieldnamed in 1 of 10 answersone answer
- 19Fin for Ecommercenamed in 1 of 10 answersone answer
- 20Microsoft Copilotnamed in 1 of 10 answersone answer
- 21Shopify Shop Appnamed in 1 of 10 answersone answer
- 22Alhena AInamed in 1 of 10 answersone answer
- 23Finnamed in 1 of 10 answersone answer
- 24Bloomreach Loominamed in 1 of 10 answersone answer
- 25Insider Onenamed in 1 of 10 answersone answer
The full measurement
- The position each of the 5 engines gave all 28 names.
- How many of the 10 answers named each of them.
- 70 sampled observations behind this ranking, and where the engines disagree.
- Fan-out — the query each engine actually searched.
- Every citation, and the sources nobody cited.