The Luxury AI Visibility Index
A monthly benchmark of luxury brand presence, influence, and voice across generative AI.
September
2026
AI is changing how affluent consumers discover luxury and the brands winning that attention might not be the ones you would expect.
As more consumers turn to their AI assistants for shopping recommendations, the luxury brands that top our monthly Luxury AI Visibility Index are increasingly gaining online share of voice.
Porsche takes the top spot in the first edition of Luxe Digital’s Luxury AI Visibility Index, ahead of every fashion house, every jeweler, and every watchmaker. It is also the only brand that leads on every AI engine we track.
Dior and Louis Vuitton complete the podium, handing LVMH two of the three top spots.
More telling still: six of the top 10 most AI-visible luxury brands are automotive: Porsche (1), Mercedes-Benz (4), Audi (5), Tesla (8), Volvo (9) and BMW (10).
Jewelry's most visible name isn't Cartier. Brilliant Earth takes sixth overall, one place ahead of Chanel and eight places ahead of Cartier at 14 — a digital-first, direct-to-consumer business outperforming a legacy house founded in 1847.
Watches sit lower than their cultural weight suggests: Rolex is the category's leader at 11, just outside the top 10.
Gucci (for years the most popular luxury brand online) lands at 12, ahead of Hermès (15), Versace (17), Burberry (18) and Prada (19).
One last figure worth sitting with: the top 20 brands in this ranking capture more than half (55.4%) of all AI attention across the categories we track. Hundreds of luxury brands split the remainder. This is a winner-takes-most race, and the positions are still being set.
We publish the Index on the 15th of every month. Next month will tell us whether fashion is closing the gap — or whether automotive brands continue to, well, take the wheel.
| Details | ||||||
|---|---|---|---|---|---|---|
| 1 | — | Porsche | Cars | 74,515+68.4% MoM | ×2.1 | |
| 2 | — | Dior | Fashion | 66,030+99.1% MoM | ×2.2 | |
| 3 | — | Louis Vuitton | Fashion | 50,083+118.1% MoM | ×2.5 | |
| 4 | — | Mercedes-Benz | Cars | 43,488+103.5% MoM | +88% | |
| 5 | ↗9 | Audi | Cars | 36,999+268.9% MoM | ×3.7 | |
| 6 | ↗2 | Brilliant Earth | Jewelry | 36,801+109.3% MoM | 6 mo of data | |
| 7 | — | Chanel | Fashion | 36,488+107.3% MoM | ×2.4 | |
| 8 | ↘3 | Tesla | Cars | 35,163+83.1% MoM | ×2.2 | |
| 9 | ↘3 | Volvo | Cars | 33,831+76.8% MoM | ×2.1 | |
| 10 | ↘1 | BMW | Cars | 30,955+91.6% MoM | +28% | |
| 11 | — | Rolex | Watches | 29,803+124.2% MoM | ×2.6 | |
| 12 | ↘2 | Gucci | Fashion | 29,550+98.2% MoM | ×2.6 | |
| 13 | ↘1 | Hugo Boss | Fashion | 22,871+98.7% MoM | 6 mo of data | |
| 14 | ↘1 | Cartier | Watches | 22,624+121.6% MoM | ×3.4 | |
| 15 | ↗2 | Hermès | Fashion | 21,384+145.5% MoM | ×2.3 | |
| 16 | ↘1 | Ferrari | Cars | 21,005+117.7% MoM | ×2.4 | |
| 17 | ↗1 | Versace | Fashion | 17,027+97.5% MoM | ×2.1 | |
| 18 | ↗1 | Burberry | Fashion | 16,003+117.9% MoM | ×2.1 | |
| 19 | ↗2 | Prada | Fashion | 15,027+126.0% MoM | ×3.0 | |
| 20 | — | Swarovski | Jewelry | 14,421+112.5% MoM | 6 mo of data | |
| 21 | ↘5 | Lexus | Cars | 14,128+59.4% MoM | +42% | |
| 22 | ↗5 | Ralph Lauren | Fashion | 13,806+160.9% MoM | ×2.0 | |
| 23 | — | Lamborghini | Cars | 13,213+108.3% MoM | ×2.1 | |
| 24 | ↗2 | Seiko | Watches | 12,301+122.8% MoM | +96% | |
| 25 | ↘3 | Jean Paul Gaultier | Fashion | 11,968+87.2% MoM | ×3.5 | |
| 26 | ↗5 | Armani | Fashion | 10,939+151.2% MoM | ×3.2 | |
| 27 | ↗5 | Bulgari | Watches | 10,527+142.6% MoM | ×2.9 | |
| 28 | ↘3 | Van Cleef & Arpels | Jewelry | 10,466+78.2% MoM | +97% | |
| 29 | ↗1 | Land Rover | Cars | 10,081+114.5% MoM | +64% | |
| 30 | ↗9 | Balenciaga | Fashion | 9,906+164.6% MoM | ×3.7 | |
| 31 | ↗2 | Dolce & Gabbana | Fashion | 8,556+101.4% MoM | +95% | |
| 32 | ↘8 | Vrai | Jewelry | 8,007+34.4% MoM | 6 mo of data | |
| 33 | ↗3 | Tiffany & Co | Watches | 7,659+96.6% MoM | +72% | |
| 34 | ↘5 | Cadillac | Cars | 7,612+60.2% MoM | +69% | |
| 35 | ↗3 | Jaguar | Cars | 7,593+97.0% MoM | ×3.5 | |
| 36 | ↗7 | Valentino | Fashion | 7,377+134.2% MoM | ×2.3 | |
| 37 | ↗15 | Saint Laurent | Fashion | 7,053+168.2% MoM | ×3.9 | |
| 38 | ↘1 | McLaren | Cars | 6,671+71.8% MoM | +87% | |
| 39 | ↗2 | Infiniti | Cars | 6,603+101.8% MoM | +87% | |
| 40 | ↗8 | Aston Martin | Cars | 6,364+127.0% MoM | ×2.5 | |
| 41 | ↗14 | Tissot | Watches | 6,308+140.8% MoM | ×2.4 | |
| 42 | ↗3 | Christian Louboutin | Shoes | 6,199+103.0% MoM | ×2.0 | |
| 43 | ↗15 | Miu Miu | Fashion | 6,131+147.5% MoM | ×3.3 | |
| 44 | ↘9 | Calpak | Bags | 5,869+47.7% MoM | 6 mo of data | |
| 45 | ↘5 | Suitsupply | Fashion | 5,808+56.2% MoM | 6 mo of data | |
| 46 | ↗5 | Loewe | Fashion | 5,792+118.2% MoM | ×2.3 | |
| 47 | ↗2 | Montblanc | Watches | 5,728+109.2% MoM | ×2.8 | |
| 48 | ↗12 | Maison Margiela | Fashion | 5,625+130.3% MoM | ×3.0 | |
| 49 | ↘7 | Canada Goose | Fashion | 5,371+65.3% MoM | 6 mo of data | |
| 50 | ↘22 | Carl Friedrik | Bags | 5,317+10.2% MoM | 6 mo of data | |
| 51 | ↘5 | Maserati | Cars | 5,300+79.8% MoM | ×3.3 | |
| 52 | ↘8 | Polestar | Cars | 5,241+70.3% MoM | ×2.2 | |
| 53 | ↗11 | Goyard | Bags | 5,212+153.9% MoM | ×2.1 | |
| 54 | ↘4 | Tory Burch | Fashion | 5,032+86.7% MoM | 6 mo of data | |
| 55 | ↘8 | Genesis | Cars | 4,943+71.7% MoM | ×2.0 | |
| 56 | ↗7 | TAG Heuer | Watches | 4,887+137.9% MoM | +68% | |
| 57 | ↘3 | Omega | Watches | 4,833+84.3% MoM | ×2.2 | |
| 58 | ↘1 | Golden Goose | Shoes | 4,796+86.0% MoM | 6 mo of data | |
| 59 | ↘3 | Jimmy Choo | Shoes | 4,790+84.9% MoM | ×2.4 | |
| 60 | ↗21 | Bugatti | Cars | 4,727+247.3% MoM | ×3.3 | |
| 61 | ↘2 | Brabus | Cars | 4,604+86.4% MoM | +79% | |
| 62 | ↘9 | Longines | Watches | 4,565+73.7% MoM | ×2.0 | |
| 63 | ↘29 | Lincoln | Cars | 4,355+8.5% MoM | +62% | |
| 64 | ↘2 | Alo Yoga | Fashion | 4,315+97.3% MoM | 6 mo of data | |
| 65 | ↗22 | Patek Philippe | Watches | 3,899+199.9% MoM | +95% | |
| 66 | ↗4 | Chloé | Fashion | 3,883+139.7% MoM | ×2.4 | |
| 67 | ↘2 | Sézane | Fashion | 3,853+91.2% MoM | 6 mo of data | |
| 68 | ↗11 | Rolls-Royce | Cars | 3,698+157.7% MoM | +59% | |
| 69 | — | Moncler | Fashion | 3,664+117.7% MoM | ×2.3 | |
| 70 | ↗12 | Celine | Fashion | 3,569+163.4% MoM | ×2.4 | |
| 71 | ↘5 | Acura | Cars | 3,385+71.3% MoM | +44% | |
| 72 | ↗2 | Rado | Watches | 3,361+118.4% MoM | ×2.5 | |
| 73 | ↗13 | Loro Piana | Fashion | 3,342+155.3% MoM | ×2.7 | |
| 74 | ↘1 | Fendi | Fashion | 3,196+107.5% MoM | ×2.1 | |
| 75 | — | Rimowa | Bags | 3,104+104.3% MoM | ×2.8 | |
| 76 | ↘5 | Bentley | Cars | 3,063+92.4% MoM | +57% | |
| 77 | ↘16 | Monica Vinader | Jewelry | 2,962+32.5% MoM | 6 mo of data | |
| 78 | ↘1 | Salvatore Ferragamo | Fashion | 2,926+97.0% MoM | ×2.7 | |
| 79 | ↘11 | Taylor Stitch | Fashion | 2,903+61.5% MoM | 6 mo of data | |
| 80 | ↗3 | Jacquemus | Fashion | 2,840+111.8% MoM | ×3.0 | |
| 81 | ↘3 | Hamilton | Watches | 2,744+87.7% MoM | +74% | |
| 82 | ↗8 | Lotus Cars | Cars | 2,590+109.4% MoM | +73% | |
| 83 | ↗13 | Tudor | Watches | 2,573+121.4% MoM | +90% | |
| 84 | ↘4 | Amiri | Fashion | 2,551+78.3% MoM | ×3.2 | |
| 85 | ↘1 | Polène | Bags | 2,465+85.5% MoM | 6 mo of data | |
| 86 | ↗2 | Grand Seiko | Watches | 2,444+94.6% MoM | +37% | |
| 87 | ↘20 | Oliver Cabell | Shoes | 2,381+25.3% MoM | 6 mo of data | |
| 88 | ↘12 | Away | Bags | 2,348+57.8% MoM | 6 mo of data | |
| 89 | ↗39 | Bottega Veneta | Fashion | 2,300+227.2% MoM | ×2.3 | |
| 90 | ↗15 | Ganni | Fashion | 2,288+126.3% MoM | 6 mo of data | |
| 91 | ↗2 | Lucid | Cars | 2,244+87.9% MoM | ×2.2 | |
| 92 | ↗2 | Crockett & Jones | Shoes | 2,224+86.3% MoM | +69% | |
| 93 | ↗64 | Koenigsegg | Cars | 2,207+443.6% MoM | ×4.0 | |
| 94 | ↗28 | Givenchy | Fashion | 2,115+179.0% MoM | ×3.2 | |
| 95 | ↗14 | Hublot | Watches | 2,107+124.9% MoM | ×2.5 | |
| 96 | ↗18 | Mansory | Cars | 2,092+145.3% MoM | ×2.2 | |
| 97 | ↗7 | Breitling | Watches | 2,033+99.1% MoM | +81% | |
| 98 | ↗1 | Off-White | Fashion | 2,025+89.1% MoM | ×2.2 | |
| 99 | ↘4 | Bellroy | Bags | 2,018+72.8% MoM | 6 mo of data | |
| 100 | ↘2 | Alpha Industries | Fashion | 1,995+83.5% MoM | 6 mo of data | |
| 101 | ↘10 | Balmain | Fashion | 1,973+59.8% MoM | +53% | |
| 102 | — | Tumi | Bags | 1,971+88.3% MoM | ×2.1 | |
| 103 | ↘11 | David Yurman | Jewelry | 1,957+62.5% MoM | ×2.5 | |
| 104 | ↘32 | Beckett Simonon | Shoes | 1,947+23.1% MoM | 6 mo of data | |
| 105 | ↗3 | Rick Owens | Fashion | 1,946+105.7% MoM | ×2.7 | |
| 106 | ↘6 | Horizn Studios | Bags | 1,929+81.5% MoM | 6 mo of data | |
| 107 | ↘1 | Rivian | Cars | 1,919+94.6% MoM | +84% | |
| 108 | ↗5 | Acne Studios | Fashion | 1,902+116.6% MoM | ×2.8 | |
| 109 | ↗10 | IWC | Watches | 1,864+132.1% MoM | +88% | |
| 110 | ↘3 | Richard Mille | Watches | 1,849+89.4% MoM | +21% | |
| 111 | ↗4 | Bulova | Watches | 1,824+114.6% MoM | ×2.3 | |
| 112 | ↗9 | Audemars Piguet | Watches | 1,787+129.7% MoM | +34% | |
| 113 | ↘16 | Sandro | Fashion | 1,785+60.2% MoM | 6 mo of data | |
| 114 | ↗16 | Alfa Romeo | Cars | 1,776+171.6% MoM | +89% | |
| 115 | ↗2 | Chopard | Watches | 1,744+114.8% MoM | ×2.5 | |
| 116 | ↘5 | Max Mara | Fashion | 1,710+85.3% MoM | +78% | |
| 117 | ↗14 | Jaeger-LeCoultre | Watches | 1,704+173.1% MoM | ×2.1 | |
| 118 | ↘29 | Me+Em | Fashion | 1,704+37.3% MoM | 6 mo of data | |
| 119 | ↘7 | Karl Lagerfeld | Fashion | 1,701+89.8% MoM | ×4.3 | |
| 120 | ↘35 | KOIO | Shoes | 1,564+19.4% MoM | 6 mo of data | |
| 121 | ↘5 | Alexander McQueen | Fashion | 1,559+83.6% MoM | +92% | |
| 122 | ↗11 | Zegna | Fashion | 1,542+152.4% MoM | ×2.2 | |
| 123 | ↘3 | Stella McCartney | Fashion | 1,539+92.1% MoM | ×2.3 | |
| 124 | ↗40 | Pagani | Cars | 1,508+328.4% MoM | ×5.1 | |
| 125 | ↘24 | Calvin Klein | Fashion | 1,474+39.8% MoM | 6 mo of data | |
| 126 | ↘23 | Missoma | Jewelry | 1,471+43.9% MoM | 6 mo of data | |
| 127 | ↘17 | Mejuri | Jewelry | 1,397+49.3% MoM | +47% | |
| 128 | ↘2 | Graff | Jewelry | 1,397+94.6% MoM | ×2.6 | |
| 129 | ↗23 | Brunello Cucinelli | Fashion | 1,385+231.3% MoM | ×3.3 | |
| 130 | ↗15 | Oris | Watches | 1,298+160.6% MoM | ×2.8 | |
| 131 | ↘13 | Asket | Fashion | 1,286+59.0% MoM | 6 mo of data | |
| 132 | ↗11 | NIO | Cars | 1,254+144.0% MoM | ×2.4 | |
| 133 | ↘6 | Lanvin | Fashion | 1,238+72.7% MoM | +87% | |
| 134 | ↗3 | NOMOS Glashütte | Watches | 1,215+115.4% MoM | ×2.2 | |
| 135 | ↘3 | Panerai | Watches | 1,203+96.6% MoM | +90% | |
| 136 | ↘11 | Eberjey | Fashion | 1,161+58.0% MoM | 6 mo of data | |
| 137 | ↘1 | Messika | Jewelry | 1,156+96.9% MoM | ×2.5 | |
| 138 | — | Chaumet | Jewelry | 1,147+107.0% MoM | ×2.3 | |
| 139 | ↘10 | Axel Arigato | Shoes | 1,134+61.3% MoM | 6 mo of data | |
| 140 | ↗14 | The Row | Fashion | 1,081+161.7% MoM | +83% | |
| 141 | ↘2 | Nina Ricci | Fashion | 1,076+94.9% MoM | ×2.0 | |
| 142 | ↗9 | Boucheron | Jewelry | 1,061+145.0% MoM | ×3.3 | |
| 143 | ↘9 | Harry Winston | Jewelry | 1,056+76.3% MoM | +67% | |
| 144 | ↘20 | Luca Faloni | Fashion | 1,052+42.7% MoM | 6 mo of data | |
| 145 | ↘4 | Manolo Blahnik | Shoes | 1,045+96.1% MoM | ×2.5 | |
| 146 | ↗10 | Vacheron Constantin | Watches | 1,016+149.0% MoM | +39% | |
| 147 | ↘24 | Monos | Bags | 990+33.8% MoM | 6 mo of data | |
| 148 | ↘4 | Sunspel | Fashion | 925+83.5% MoM | 6 mo of data | |
| 149 | ↗1 | The Frankie Shop | Fashion | 882+100.9% MoM | 6 mo of data | |
| 150 | ↗17 | Blancpain | Watches | 871+162.3% MoM | ×2.1 | |
| 151 | ↘9 | Christopher Ward | Watches | 822+56.6% MoM | ×2.2 | |
| 152 | ↘6 | Anine Bing | Fashion | 820+65.0% MoM | 6 mo of data | |
| 153 | — | Franck Muller | Watches | 791+91.1% MoM | +68% | |
| 154 | ↘19 | Allbirds | Shoes | 790+33.2% MoM | 6 mo of data | |
| 155 | ↘7 | Marni | Fashion | 768+62.4% MoM | ×2.5 | |
| 156 | ↗12 | Breguet | Watches | 754+146.4% MoM | ×2.9 | |
| 157 | ↘2 | Jil Sander | Fashion | 753+82.3% MoM | ×2.4 | |
| 158 | ↗5 | Piaget | Watches | 738+103.3% MoM | +83% | |
| 159 | ↘1 | Buck Mason | Fashion | 694+75.7% MoM | 6 mo of data | |
| 160 | ↗9 | Zenith | Watches | 691+126.6% MoM | +95% | |
| 161 | ↗5 | Morgan | Cars | 679+103.9% MoM | ×2.7 | |
| 162 | ↗3 | Toteme | Fashion | 673+93.9% MoM | 6 mo of data | |
| 163 | ↘23 | Harber London | Bags | 662+19.9% MoM | 6 mo of data | |
| 164 | ↘17 | Drake's | Fashion | 643+32.3% MoM | 6 mo of data | |
| 165 | ↘5 | Tod's | Fashion | 634+64.7% MoM | +58% | |
| 166 | ↘17 | Marathon | Watches | 629+37.3% MoM | 6 mo of data | |
| 167 | ↗6 | Emilio Pucci | Fashion | 622+117.5% MoM | ×3.4 | |
| 168 | ↗17 | Alaïa | Fashion | 612+192.8% MoM | ×3.5 | |
| 169 | ↘8 | Globe-Trotter | Bags | 574+49.9% MoM | +69% | |
| 170 | ↗29 | Denza | Cars | 562+242.7% MoM | ×7.6 | |
| 171 | ↗5 | Lemaire | Fashion | 557+114.2% MoM | 6 mo of data | |
| 172 | ↗3 | Brioni | Fashion | 543+105.7% MoM | +71% | |
| 173 | ↘14 | Todd Snyder | Fashion | 542+37.9% MoM | 6 mo of data | |
| 174 | ↘4 | Carmina | Shoes | 520+73.9% MoM | 6 mo of data | |
| 175 | ↘13 | Thom Browne | Fashion | 516+35.8% MoM | +7% | |
| 176 | ↗12 | Santoni | Shoes | 488+138.0% MoM | ×2.5 | |
| 177 | ↗4 | Mikimoto | Jewelry | 477+100.4% MoM | ×2.7 | |
| 178 | — | Our Legacy | Fashion | 461+78.7% MoM | 6 mo of data | |
| 179 | — | Delvaux | Bags | 461+81.5% MoM | ×2.0 | |
| 180 | ↗12 | Baume & Mercier | Watches | 435+130.2% MoM | +92% | |
| 181 | ↘4 | Rouje | Fashion | 432+66.8% MoM | 6 mo of data | |
| 182 | ↗25 | Schiaparelli | Fashion | 432+208.6% MoM | ×3.5 | |
| 183 | ↘1 | Maurice Lacroix | Watches | 421+83.0% MoM | +88% | |
| 184 | ↘4 | Berluti | Fashion | 405+66.7% MoM | +18% | |
| 185 | ↗1 | Sinn | Watches | 388+86.5% MoM | 6 mo of data | |
| 186 | ↗5 | Buccellati | Jewelry | 383+98.4% MoM | ×3.6 | |
| 187 | ↘16 | Formex | Watches | 372+25.3% MoM | 6 mo of data | |
| 188 | ↗59 | Myrqvist | Shoes | 366+520.3% MoM | 6 mo of data | |
| 189 | ↘6 | Glashütte Original | Watches | 363+61.3% MoM | +82% | |
| 190 | ↘16 | Amberjack | Shoes | 362+36.1% MoM | 6 mo of data | |
| 191 | ↘4 | Bell & Ross | Watches | 359+74.3% MoM | ×2.1 | |
| 192 | ↘8 | Bremont | Watches | 356+59.6% MoM | −18% | |
| 193 | ↘21 | Astley Clarke | Jewelry | 349+20.8% MoM | 6 mo of data | |
| 194 | ↗8 | Dries Van Noten | Fashion | 333+108.1% MoM | ×2.5 | |
| 195 | ↗14 | Meermin | Shoes | 333+160.2% MoM | 6 mo of data | |
| 196 | ↗4 | A. Lange & Söhne | Watches | 332+104.9% MoM | −1% | |
| 197 | ↘8 | Doen | Fashion | 331+62.3% MoM | 6 mo of data | |
| 198 | ↗5 | Church's | Shoes | 320+111.9% MoM | ×2.6 | |
| 199 | ↗17 | Fred | Jewelry | 300+177.8% MoM | ×2.1 | |
| 200 | ↘10 | Cuyana | Bags | 299+49.5% MoM | 6 mo of data | |
| 201 | ↘3 | Johnstons of Elgin | Fashion | 298+79.5% MoM | 6 mo of data | |
| 202 | ↘7 | Baltic | Watches | 290+66.7% MoM | 6 mo of data | |
| 203 | ↗30 | Girard-Perregaux | Watches | 281+238.6% MoM | ×2.5 | |
| 204 | ↘10 | Nivada Grenchen | Watches | 271+49.7% MoM | 6 mo of data | |
| 205 | ↗22 | Hongqi | Cars | 269+192.4% MoM | ×3.8 | |
| 206 | ↘2 | Pomellato | Jewelry | 268+81.1% MoM | ×2.2 | |
| 207 | ↘1 | Brew | Watches | 266+86.0% MoM | 6 mo of data | |
| 208 | ↗41 | Rimac | Cars | 265+409.6% MoM | ×4.2 | |
| 209 | ↗13 | F.P. Journe | Watches | 246+156.3% MoM | ×2.7 | |
| 210 | ↘9 | St. Agni | Fashion | 244+50.6% MoM | 6 mo of data | |
| 211 | ↗34 | Vaultskin | Bags | 240+287.1% MoM | 6 mo of data | |
| 212 | ↗22 | Ulysse Nardin | Watches | 237+189.0% MoM | ×3.2 | |
| 213 | ↘3 | Li Auto | Cars | 236+91.9% MoM | +80% | |
| 214 | ↗5 | John Lobb | Shoes | 229+124.5% MoM | ×2.5 | |
| 215 | ↘4 | Auralee | Fashion | 219+81.0% MoM | 6 mo of data | |
| 216 | ↘23 | Hennessey | Cars | 218+17.2% MoM | +3% | |
| 217 | ↘20 | LIV Swiss Watches | Watches | 214+26.6% MoM | +22% | |
| 218 | ↘13 | Norqain | Watches | 212+45.2% MoM | 6 mo of data | |
| 219 | ↗4 | Roger Dubuis | Watches | 211+124.5% MoM | ×2.6 | |
| 220 | ↗1 | Norse Projects | Fashion | 206+112.4% MoM | 6 mo of data | |
| 221 | ↘25 | Velasca | Shoes | 203+18.7% MoM | 6 mo of data | |
| 222 | ↘10 | Studio Nicholson | Fashion | 199+67.2% MoM | 6 mo of data | |
| 223 | ↗6 | Valextra | Bags | 187+105.5% MoM | +99% | |
| 224 | ↘4 | Grenson | Shoes | 182+82.0% MoM | 6 mo of data | |
| 225 | ↗23 | Avatr | Cars | 174+228.3% MoM | ×2.8 | |
| 226 | ↘13 | Khaite | Fashion | 170+44.1% MoM | +60% | |
| 227 | ↗5 | Studio Underd0g | Watches | 169+103.6% MoM | 6 mo of data | |
| 228 | ↗7 | Yema | Watches | 165+103.7% MoM | 6 mo of data | |
| 229 | ↗12 | Edward Green | Shoes | 160+125.4% MoM | ×2.4 | |
| 230 | ↘15 | Karma | Cars | 157+45.4% MoM | +32% | |
| 231 | — | With Nothing Underneath | Fashion | 156+77.3% MoM | 6 mo of data | |
| 232 | ↘8 | Private White V.C. | Fashion | 156+66.0% MoM | 6 mo of data | |
| 233 | ↘25 | Farer | Watches | 155+20.2% MoM | 6 mo of data | |
| 234 | ↘20 | Nanushka | Fashion | 151+30.2% MoM | 6 mo of data | |
| 235 | ↘7 | behno | Bags | 151+64.1% MoM | 6 mo of data | |
| 236 | ↘11 | Foundrae | Jewelry | 149+60.2% MoM | 6 mo of data | |
| 237 | ↘20 | Mansur Gavriel | Bags | 142+32.7% MoM | 6 mo of data | |
| 238 | ↗5 | Unimatic | Watches | 138+122.6% MoM | 6 mo of data | |
| 239 | ↘21 | Techart | Cars | 137+33.0% MoM | −8% | |
| 240 | ↗4 | Alpina | Watches | 137+121.0% MoM | +51% | |
| 241 | ↘3 | Dinh Van | Jewelry | 129+76.7% MoM | +25% | |
| 242 | ↗12 | KAAI | Bags | 129+193.2% MoM | 6 mo of data | |
| 243 | ↘17 | Aspesi | Fashion | 119+29.3% MoM | 6 mo of data | |
| 244 | ↗2 | Singer | Cars | 117+91.8% MoM | ×2.4 | |
| 245 | ↘5 | Novitec | Cars | 116+63.4% MoM | −11% | |
| 246 | ↗7 | Common Projects | Shoes | 113+151.1% MoM | 6 mo of data | |
| 247 | ↘5 | Carl F. Bucherer | Watches | 107+57.4% MoM | +73% | |
| 248 | ↗36 | De Tomaso | Cars | 107+463.2% MoM | ×4.0 | |
| 249 | ↘10 | Automobili Pininfarina | Cars | 102+41.7% MoM | ×2.3 | |
| 250 | ↗1 | Furlan Marri | Watches | 99+98.0% MoM | 6 mo of data | |
| 251 | ↗9 | Serica | Watches | 97+148.7% MoM | 6 mo of data | |
| 252 | ↘15 | Troubadour | Bags | 95+23.4% MoM | 6 mo of data | |
| 253 | ↘17 | Aurate | Jewelry | 95+18.8% MoM | 6 mo of data | |
| 254 | ↗9 | MB&F | Watches | 92+142.1% MoM | ×3.4 | |
| 255 | ↗12 | Kurono Tokyo | Watches | 92+187.5% MoM | 6 mo of data | |
| 256 | ↗30 | Yangwang | Cars | 92+411.1% MoM | ×30.7 | |
| 257 | ↘27 | Lorier | Watches | 88−2.2% MoM | 6 mo of data | |
| 258 | ↘8 | H. Moser & Cie | Watches | 71+39.2% MoM | −45% | |
| 259 | ↘7 | anOrdain | Watches | 70+45.8% MoM | 6 mo of data | |
| 260 | ↗1 | Parmigiani Fleurier | Watches | 70+79.5% MoM | +94% | |
| 261 | ↗1 | Extreme Cashmere | Fashion | 65+66.7% MoM | 6 mo of data | |
| 262 | ↘6 | Everrati | Cars | 64+52.4% MoM | ×2.6 | |
| 263 | ↗25 | RUF | Cars | 64+255.6% MoM | ×3.8 | |
| 264 | ↘9 | Jessica McCormack | Jewelry | 62+44.2% MoM | 6 mo of data | |
| 265 | ↗3 | Stowa | Watches | 60+87.5% MoM | 6 mo of data | |
| 266 | ↘9 | M.Gemi | Shoes | 58+41.5% MoM | 6 mo of data | |
| 267 | ↗13 | Ming | Watches | 57+171.4% MoM | 6 mo of data | |
| 268 | ↗7 | Eagle | Cars | 55+129.2% MoM | ×2.6 | |
| 269 | ↗8 | Officine Générale | Fashion | 53+130.4% MoM | 6 mo of data | |
| 270 | ↗11 | Nodus | Watches | 50+150.0% MoM | 6 mo of data | |
| 271 | ↗8 | Sophie Bille Brahe | Jewelry | 50+127.3% MoM | 6 mo of data | |
| 272 | ↗1 | Czapek | Watches | 49+81.5% MoM | +88% | |
| 273 | ↗5 | Métier | Bags | 47+113.6% MoM | 6 mo of data | |
| 274 | ↗19 | Zenvo | Cars | 47+193.8% MoM | ×4.7 | |
| 275 | ↘17 | Traska | Watches | 45+9.8% MoM | 6 mo of data | |
| 276 | ↘6 | Serapian | Bags | 45+60.7% MoM | ×2.1 | |
| 277 | ↘5 | Damasko | Watches | 44+63.0% MoM | 6 mo of data | |
| 278 | ↘19 | Laurent Ferrier | Watches | 44+10.0% MoM | +57% | |
| 279 | ↗23 | Czinger | Cars | 43+616.7% MoM | ×43.0 | |
| 280 | ↘14 | Ressence | Watches | 42+23.5% MoM | ×2.1 | |
| 281 | ↘17 | Monta | Watches | 42+13.5% MoM | 6 mo of data | |
| 282 | ↘11 | Otiumberg | Jewelry | 42+50.0% MoM | 6 mo of data | |
| 283 | ↘18 | Oak & Oscar | Watches | 41+13.9% MoM | 6 mo of data | |
| 284 | ↗12 | Jaquet Droz | Watches | 41+192.9% MoM | +52% | |
| 285 | ↘16 | L'Estrange London | Fashion | 38+26.7% MoM | 6 mo of data | |
| 286 | ↗6 | Armin Strom | Watches | 37+117.6% MoM | ×3.4 | |
| 287 | ↘13 | Urwerk | Watches | 33+26.9% MoM | ×2.2 | |
| 288 | ↘6 | Zelos | Watches | 32+68.4% MoM | 6 mo of data | |
| 289 | — | Moritz Grossmann | Watches | 32+77.8% MoM | +60% | |
| 290 | ↘3 | Ghurka | Bags | 32+77.8% MoM | +52% | |
| 291 | ↘8 | Anita Ko | Jewelry | 31+63.2% MoM | 6 mo of data | |
| 292 | ↘16 | Sonia Rykiel | Fashion | 29+20.8% MoM | ×2.2 | |
| 293 | ↘8 | Repossi | Jewelry | 26+44.4% MoM | ×2.4 | |
| 294 | ↘3 | Trilobe | Watches | 24+41.2% MoM | ×2.7 | |
| 295 | ↗8 | Gemballa | Cars | 24+500.0% MoM | ×12.0 | |
| 296 | ↗3 | Arnold & Son | Watches | 24+166.7% MoM | ×2.7 | |
| 297 | ↘2 | Halios | Watches | 17+13.3% MoM | 6 mo of data | |
| 298 | ↘1 | De Bethune | Watches | 17+54.5% MoM | +21% | |
| 299 | ↗1 | Zeekr | Cars | 16+100.0% MoM | −63% | |
| 300 | ↘6 | Gordon Murray Automotive | Cars | 15−6.3% MoM | −12% | |
| 301 | ↘3 | Hispano Suiza | Cars | 14+55.6% MoM | +75% | |
| 302 | ↘12 | Autodromo | Watches | 13−23.5% MoM | 6 mo of data | |
| 303 | ↗3 | Grönefeld | Watches | 6+500.0% MoM | 8 mo of data | |
| 304 | ↗3 | Marc Philipp Gemballa | Cars | 6+500.0% MoM | 6 mo of data | |
| 305 | ↘4 | Bamford | Watches | 5−28.6% MoM | −50% | |
| 306 | ↘1 | Voutilainen | Watches | 4+300.0% MoM | 5 mo of data | |
| 307 | New | Wagoneer | Cars | 4New | 2 mo of data | |
| 308 | New | Voyah | Cars | 1New | 1 mo of data |
Nothing in the ranking matches that. Clear the search to see every brand.
Showing 308 of 308 brands · September 2026 issue.
How the Index
is built
The Luxury AI Visibility Index is a proprietary dataset developed and maintained by Luxe Digital in partnership with Worthbury.
When AI models answer user prompts, they cite their sources. Every time an engine references a brand's official domain, we log it as an AI citation. We aggregate these metrics monthly across five major AI engines to calculate each brand's overall performance. Each issue's data is collected during the previous calendar month.
Luxe Digital independently curates the brand roster and methodology. Rankings are purely performance-based—no brand can purchase placement, and all listings are 100% unsponsored.
- 01
Direct Source Tracking
Tracking monthly mentions per brand
We query five leading AI engines monthly for every brand on our index. We measure how frequently an engine cites official brand domains when generating answers, establishing a reliable monthly baseline.
- 02
Five Engines, Weighted Equally
Every engine counts the same
We track ChatGPT, Google AI Mode, Perplexity, Google AI Overviews and Gemini, and each one counts the same toward a brand's score. We could not measure how much each engine is worth to a luxury buyer, so we do not claim to. We review the list of engines once a year.
- 03
Logarithmic Scoring
A scoring system that grows with the brands
Brand visibility spans multiple orders of magnitude. We apply a logarithmic curve to normalized mentions, ensuring proportional growth and fair comparison between established giants and emerging labels.
- 04
Fixed Index Baselines
A reliable historical ranking
Scores are mapped to a fixed 0–100 scale rather than shifting relative to the monthly top performer. Adding or removing brands never alters existing scores, and published historical data remains permanent.
Our final score combines mention counts across the five engines with logarithmic scaling to deliver a unified visibility score out of 100. Most of that score is how often the engines cite a brand, with smaller weight for how many of the five cite it and how visible the brand is in ordinary search.
How can a brand improve its AI visibility score?
What happens when an engine lacks data for a brand?
Do some engines count more than others?
Why do some engines show incomplete historical charts?
Why is Claude not included in the index?
Why does a brand sometimes show no month-over-month movement?
Which brand domains are tracked?
Which product categories are excluded from the Index?
Working the
answer engines
These guides cover what moves a brand's mentions.
Make it easy for the right people to find you.
Luxe Digital helps luxury brands get discovered online. Worthbury does the same for the people behind them.
Worthbury is our sister publication. It covers the luxury and lifestyle industry and publishes verified profiles of its members: founders, creative directors, consultants, and specialists.