Updated September 8, 2026
Answer summary
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.
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Where each engine placed them
#Brand'%3e%3c/path%3e%3cpath%20d='M20.616%2010.835a14.147%2014.147%200%2001-4.45-3.001%2014.111%2014.111%200%2001-3.678-6.452.503.503%200%2000-.975%200%2014.134%2014.134%200%2001-3.679%206.452%2014.155%2014.155%200%2001-4.45%203.001c-.65.28-1.318.505-2.002.678a.502.502%200%20000%20.975c.684.172%201.35.397%202.002.677a14.147%2014.147%200%20014.45%203.001%2014.112%2014.112%200%20013.679%206.453.502.502%200%2000.975%200c.172-.685.397-1.351.677-2.003a14.145%2014.145%200%20013.001-4.45%2014.113%2014.113%200%20016.453-3.678.503.503%200%20000-.975%2013.245%2013.245%200%2001-2.003-.678z'%20fill='url(%23lobe-icons-gemini-1-_R_0_)'%3e%3c/path%3e%3cpath%20d='M20.616%2010.835a14.147%2014.147%200%2001-4.45-3.001%2014.111%2014.111%200%2001-3.678-6.452.503.503%200%2000-.975%200%2014.134%2014.134%200%2001-3.679%206.452%2014.155%2014.155%200%2001-4.45%203.001c-.65.28-1.318.505-2.002.678a.502.502%200%20000%20.975c.684.172%201.35.397%202.002.677a14.147%2014.147%200%20014.45%203.001%2014.112%2014.112%200%20013.679%206.453.502.502%200%2000.975%200c.172-.685.397-1.351.677-2.003a14.145%2014.145%200%20013.001-4.45%2014.113%2014.113%200%20016.453-3.678.503.503%200%20000-.975%2013.245%2013.245%200%2001-2.003-.678z'%20fill='url(%23lobe-icons-gemini-2-_R_0_)'%3e%3c/path%3e%3cdefs%3e%3clinearGradient%20gradientUnits='userSpaceOnUse'%20id='lobe-icons-gemini-0-_R_0_'%20x1='7'%20x2='11'%20y1='15.5'%20y2='12'%3e%3cstop%20stop-color='%2308B962'%3e%3c/stop%3e%3cstop%20offset='1'%20stop-color='%2308B962'%20stop-opacity='0'%3e%3c/stop%3e%3c/linearGradient%3e%3clinearGradient%20gradientUnits='userSpaceOnUse'%20id='lobe-icons-gemini-1-_R_0_'%20x1='8'%20x2='11.5'%20y1='5.5'%20y2='11'%3e%3cstop%20stop-color='%23F94543'%3e%3c/stop%3e%3cstop%20offset='1'%20stop-color='%23F94543'%20stop-opacity='0'%3e%3c/stop%3e%3c/linearGradient%3e%3clinearGradient%20gradientUnits='userSpaceOnUse'%20id='lobe-icons-gemini-2-_R_0_'%20x1='3.5'%20x2='17.5'%20y1='13.5'%20y2='12'%3e%3cstop%20stop-color='%23FABC12'%3e%3c/stop%3e%3cstop%20offset='.46'%20stop-color='%23FABC12'%20stop-opacity='0'%3e%3c/stop%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e)
MentionsBrand Share of VoiceCiteRankCitabilitySentiment
1C-----915% -
ChatGPT-Gemini-Perplexity-AI Mode-Copilot-
Mentions 9Brand Share of Voice 15%CiteRank - Citability Sentiment
2GG-----610% -
ChatGPT-Gemini-Perplexity-AI Mode-Copilot-
Mentions 6Brand Share of Voice 10%CiteRank - Citability Sentiment
3P-----610% -
ChatGPT-Gemini-Perplexity-AI Mode-Copilot-
Mentions 6Brand Share of Voice 10%CiteRank - Citability Sentiment
4GS-----23% -
ChatGPT-Gemini-Perplexity-AI Mode-Copilot-
Mentions 2Brand Share of Voice 3%CiteRank - Citability Sentiment
5AR-----35% -
ChatGPT-Gemini-Perplexity-AI Mode-Copilot-
Mentions 3Brand Share of Voice 5%CiteRank - Citability Sentiment
6C-----47% -
ChatGPT-Gemini-Perplexity-AI Mode-Copilot-
Mentions 4Brand Share of Voice 7%CiteRank - Citability Sentiment
What the models searched first
The sub-queries each engine actually searched before answering.
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The sub-queries each engine actually searched before answering.
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