The Luxury AI Visibility Index
A monthly benchmark of luxury brand presence, influence, and voice across generative AI.
November
2026
Porsche stays in the driver's seat as the pack reshuffles behind it.
The German automotive brand leads the Luxe Digital Luxury AI Visibility Index for a third consecutive month, ahead of Dior and Louis Vuitton. It's still the only brand to top all five AI engines we track.
Yet the top of the table is not as settled as the podium suggests.
Audi climbed past Chanel into sixth. Rolex edges up to ninth, fittingly wearing the watchmakers' crown. Gucci returns to the top ten, at tenth.
Jewelry lost some of its luster. Brilliant Earth slipped from ninth to 11th, so no jeweler made the top ten this month. It still sits two places ahead of Cartier, the next jeweler down.
BMW held 12th but lost more mentions than any other brand, down 8,025 to 26,326. It wasn't alone: every top-ten brand lost mentions this month. Even so, the top ten's share of all AI mentions rose to 38.5%, up from 37.8%. The top 20 now capture 56%.
Further down, Amiri added the most mentions of any brand, up 601 to 3,509, and Czinger climbed 20 places to 259th.
We publish the Index on the 15th of every month. Next time, we'll see whether the podium holds or whether the shifts beneath it reach the very top.
| Details | ||||||
|---|---|---|---|---|---|---|
| 1 | — | Porsche | Cars | 80,315−7.0% MoM | ×2.8 | |
| 2 | — | Dior | Fashion | 67,367−9.6% MoM | ×2.9 | |
| 3 | — | Louis Vuitton | Fashion | 54,412−10.1% MoM | ×4.9 | |
| 4 | — | Mercedes-Benz | Cars | 48,093−10.3% MoM | ×3.1 | |
| 5 | — | Tesla | Cars | 38,705−11.1% MoM | ×3.4 | |
| 6 | ↗1 | Audi | Cars | 37,121−9.8% MoM | ×5.1 | |
| 7 | ↘1 | Chanel | Fashion | 36,998−11.6% MoM | ×3.1 | |
| 8 | — | Volvo | Cars | 35,072−8.3% MoM | ×2.6 | |
| 9 | ↗1 | Rolex | Watches | 34,234−5.3% MoM | ×3.9 | |
| 10 | ↗1 | Gucci | Fashion | 31,649−9.9% MoM | ×3.5 | |
| 11 | ↘2 | Brilliant Earth | Jewelry | 29,488−19.5% MoM | 8 mo of data | |
| 12 | — | BMW | Cars | 26,326−23.4% MoM | +54% | |
| 13 | — | Cartier | Watches | 25,420−6.8% MoM | ×4.3 | |
| 14 | — | Hermès | Fashion | 23,214−9.4% MoM | ×3.0 | |
| 15 | — | Ferrari | Cars | 20,540−13.0% MoM | ×2.8 | |
| 16 | — | Hugo Boss | Fashion | 19,357−14.0% MoM | 8 mo of data | |
| 17 | ↗1 | Burberry | Fashion | 17,043−12.1% MoM | ×2.8 | |
| 18 | ↗1 | Versace | Fashion | 16,419−12.8% MoM | ×2.8 | |
| 19 | ↗2 | Lexus | Cars | 16,094−4.2% MoM | ×2.3 | |
| 20 | ↘3 | Ralph Lauren | Fashion | 16,022−20.0% MoM | ×3.1 | |
| 21 | ↘1 | Prada | Fashion | 16,006−11.6% MoM | ×4.2 | |
| 22 | — | Lamborghini | Cars | 14,905−8.9% MoM | ×3.3 | |
| 23 | — | Seiko | Watches | 14,107−9.2% MoM | ×3.0 | |
| 24 | ↗1 | Jean Paul Gaultier | Fashion | 11,735−5.9% MoM | ×4.2 | |
| 25 | ↘1 | Swarovski | Jewelry | 11,574−14.2% MoM | 8 mo of data | |
| 26 | — | Armani | Fashion | 10,268−9.9% MoM | ×3.8 | |
| 27 | ↗1 | Van Cleef & Arpels | Jewelry | 10,117−8.1% MoM | ×2.9 | |
| 28 | ↘1 | Balenciaga | Fashion | 9,870−11.6% MoM | ×4.9 | |
| 29 | — | Bulgari | Watches | 9,256−12.4% MoM | ×3.3 | |
| 30 | ↗5 | Tissot | Watches | 8,314−2.3% MoM | ×4.3 | |
| 31 | — | Tiffany & Co | Watches | 8,120−12.5% MoM | ×2.6 | |
| 32 | ↗1 | Cadillac | Cars | 7,802−9.5% MoM | ×2.3 | |
| 33 | ↘1 | Dolce & Gabbana | Fashion | 7,660−11.7% MoM | ×2.3 | |
| 34 | ↗3 | Saint Laurent | Fashion | 7,508−8.0% MoM | ×5.5 | |
| 35 | ↗3 | McLaren | Cars | 7,368−7.2% MoM | ×2.6 | |
| 36 | ↗3 | Aston Martin | Cars | 7,179−8.0% MoM | ×3.6 | |
| 37 | ↘7 | Land Rover | Cars | 7,046−32.6% MoM | +47% | |
| 38 | ↘4 | Valentino | Fashion | 7,031−17.7% MoM | ×3.0 | |
| 39 | ↗1 | Infiniti | Cars | 6,667−11.8% MoM | ×2.9 | |
| 40 | ↘4 | Jaguar | Cars | 6,630−21.6% MoM | ×3.4 | |
| 41 | ↗1 | Omega | Watches | 6,614−7.9% MoM | ×5.5 | |
| 42 | ↗2 | Loewe | Fashion | 6,285−8.0% MoM | ×3.4 | |
| 43 | ↗3 | Christian Louboutin | Shoes | 6,085−8.7% MoM | ×2.5 | |
| 44 | ↗1 | Montblanc | Watches | 6,037−9.8% MoM | ×5.3 | |
| 45 | ↘2 | Suitsupply | Fashion | 5,968−14.2% MoM | 8 mo of data | |
| 46 | ↗2 | Maison Margiela | Fashion | 5,817−5.5% MoM | ×3.9 | |
| 47 | ↗7 | Bugatti | Cars | 5,799−1.5% MoM | ×6.0 | |
| 48 | ↘1 | Miu Miu | Fashion | 5,701−14.0% MoM | ×3.3 | |
| 49 | ↘8 | Vrai | Jewelry | 5,577−26.0% MoM | 8 mo of data | |
| 50 | ↘1 | TAG Heuer | Watches | 5,543−9.1% MoM | ×2.8 | |
| 51 | ↘1 | Canada Goose | Fashion | 5,528−9.2% MoM | 8 mo of data | |
| 52 | — | Maserati | Cars | 5,444−8.6% MoM | ×5.8 | |
| 53 | ↘2 | Genesis | Cars | 5,442−9.0% MoM | ×2.6 | |
| 54 | ↘1 | Goyard | Bags | 5,433−8.6% MoM | ×2.9 | |
| 55 | — | Brabus | Cars | 5,098−8.0% MoM | ×2.5 | |
| 56 | ↗2 | Rolls-Royce | Cars | 4,990−7.6% MoM | ×3.2 | |
| 57 | ↘1 | Tory Burch | Fashion | 4,914−10.7% MoM | 8 mo of data | |
| 58 | ↘1 | Polestar | Cars | 4,842−11.6% MoM | ×2.4 | |
| 59 | ↗2 | Golden Goose | Shoes | 4,819−9.5% MoM | 8 mo of data | |
| 60 | ↘1 | Longines | Watches | 4,799−11.1% MoM | ×2.8 | |
| 61 | ↘1 | Patek Philippe | Watches | 4,794−10.8% MoM | ×3.6 | |
| 62 | — | Jimmy Choo | Shoes | 4,506−13.6% MoM | ×2.7 | |
| 63 | ↗4 | Alo Yoga | Fashion | 4,504−5.3% MoM | 8 mo of data | |
| 64 | ↗4 | Moncler | Fashion | 4,322−7.6% MoM | ×3.5 | |
| 65 | ↗1 | Loro Piana | Fashion | 4,175−12.5% MoM | ×4.2 | |
| 66 | ↗3 | Acura | Cars | 4,163−7.0% MoM | ×2.8 | |
| 67 | ↘2 | Lincoln | Cars | 4,100−15.8% MoM | +74% | |
| 68 | ↗2 | Chloé | Fashion | 3,812−10.2% MoM | ×2.9 | |
| 69 | ↘6 | Carl Friedrik | Bags | 3,696−27.7% MoM | 8 mo of data | |
| 70 | ↗2 | Bentley | Cars | 3,687−8.9% MoM | ×2.5 | |
| 71 | ↗2 | Sézane | Fashion | 3,676−8.3% MoM | 8 mo of data | |
| 72 | ↘1 | Celine | Fashion | 3,622−10.9% MoM | ×3.3 | |
| 73 | ↗13 | Amiri | Fashion | 3,509+20.7% MoM | ×4.7 | |
| 74 | — | Rado | Watches | 3,348−10.9% MoM | ×3.2 | |
| 75 | ↘11 | Calpak | Bags | 3,273−35.8% MoM | 8 mo of data | |
| 76 | ↗1 | Hamilton | Watches | 3,268−3.7% MoM | ×2.7 | |
| 77 | ↘2 | Fendi | Fashion | 3,192−11.9% MoM | ×2.8 | |
| 78 | — | Rimowa | Bags | 3,099−8.3% MoM | ×3.5 | |
| 79 | ↘3 | Tudor | Watches | 3,073−12.1% MoM | ×3.0 | |
| 80 | ↗1 | Lotus Cars | Cars | 3,028−4.4% MoM | ×2.5 | |
| 81 | ↗1 | Audemars Piguet | Watches | 2,931−7.4% MoM | ×3.6 | |
| 82 | ↘3 | Grand Seiko | Watches | 2,895−11.4% MoM | ×2.4 | |
| 83 | ↘3 | Bottega Veneta | Fashion | 2,866−11.2% MoM | ×3.8 | |
| 84 | — | Jacquemus | Fashion | 2,839−4.1% MoM | ×3.4 | |
| 85 | ↘2 | Salvatore Ferragamo | Fashion | 2,810−9.9% MoM | ×3.1 | |
| 86 | ↗1 | Lucid | Cars | 2,738−4.7% MoM | ×3.3 | |
| 87 | ↗2 | Koenigsegg | Cars | 2,667−5.4% MoM | ×7.5 | |
| 88 | ↗4 | Rivian | Cars | 2,598−1.3% MoM | ×4.1 | |
| 89 | ↗1 | Mansory | Cars | 2,486−8.9% MoM | ×4.2 | |
| 90 | ↗3 | Ganni | Fashion | 2,461−3.2% MoM | 8 mo of data | |
| 91 | — | Polène | Bags | 2,403−8.9% MoM | 8 mo of data | |
| 92 | ↗10 | Bellroy | Bags | 2,304+1.8% MoM | 8 mo of data | |
| 93 | ↗1 | Breitling | Watches | 2,266−7.0% MoM | ×3.0 | |
| 94 | ↘6 | Monica Vinader | Jewelry | 2,175−23.3% MoM | 8 mo of data | |
| 95 | ↘10 | Taylor Stitch | Fashion | 2,099−28.2% MoM | 8 mo of data | |
| 96 | ↗8 | Max Mara | Fashion | 2,084−6.4% MoM | ×2.4 | |
| 97 | ↗8 | Rick Owens | Fashion | 2,080−5.8% MoM | ×2.8 | |
| 98 | ↗2 | IWC | Watches | 2,035−10.9% MoM | ×2.5 | |
| 99 | ↗7 | Richard Mille | Watches | 2,031−7.6% MoM | +79% | |
| 100 | ↘3 | Hublot | Watches | 2,030−13.9% MoM | ×3.2 | |
| 101 | ↘6 | Off-White | Fashion | 2,026−16.9% MoM | ×2.4 | |
| 102 | ↘4 | Givenchy | Fashion | 1,970−16.0% MoM | ×4.0 | |
| 103 | ↗8 | Alexander McQueen | Fashion | 1,941−5.7% MoM | ×2.8 | |
| 104 | ↘1 | Horizn Studios | Bags | 1,907−14.9% MoM | 8 mo of data | |
| 105 | ↗2 | Bulova | Watches | 1,902−12.3% MoM | ×3.0 | |
| 106 | ↘7 | Away | Bags | 1,866−19.7% MoM | 8 mo of data | |
| 107 | ↗7 | David Yurman | Jewelry | 1,823−10.6% MoM | ×2.6 | |
| 108 | ↗2 | Mejuri | Jewelry | 1,795−13.1% MoM | ×2.4 | |
| 109 | ↗7 | Pagani | Cars | 1,785−8.6% MoM | ×7.1 | |
| 110 | ↗5 | Jaeger-LeCoultre | Watches | 1,777−10.3% MoM | ×3.5 | |
| 111 | ↘3 | Alpha Industries | Fashion | 1,774−16.4% MoM | 8 mo of data | |
| 112 | — | Tumi | Bags | 1,755−14.6% MoM | ×2.3 | |
| 113 | ↘12 | Crockett & Jones | Shoes | 1,748−23.2% MoM | +52% | |
| 114 | ↘5 | Sandro | Fashion | 1,708−17.6% MoM | 8 mo of data | |
| 115 | ↘19 | Oliver Cabell | Shoes | 1,680−30.9% MoM | 8 mo of data | |
| 116 | ↗1 | Acne Studios | Fashion | 1,664−12.7% MoM | ×2.8 | |
| 117 | ↗4 | Karl Lagerfeld | Fashion | 1,591−9.7% MoM | ×2.6 | |
| 118 | ↗7 | NIO | Cars | 1,586−4.1% MoM | ×3.6 | |
| 119 | ↘1 | Brunello Cucinelli | Fashion | 1,554−13.2% MoM | ×4.8 | |
| 120 | ↗2 | Zegna | Fashion | 1,480−14.3% MoM | ×2.3 | |
| 121 | ↗2 | Chopard | Watches | 1,454−15.0% MoM | ×2.6 | |
| 122 | ↗4 | The Row | Fashion | 1,432−6.8% MoM | ×2.7 | |
| 123 | ↗8 | Lanvin | Fashion | 1,411−5.3% MoM | ×2.5 | |
| 124 | ↘5 | Balmain | Fashion | 1,351−24.3% MoM | +48% | |
| 125 | ↗5 | Vacheron Constantin | Watches | 1,335−10.9% MoM | ×3.4 | |
| 126 | ↗3 | NOMOS Glashütte | Watches | 1,334−11.1% MoM | ×3.8 | |
| 127 | ↘3 | Alfa Romeo | Cars | 1,312−21.1% MoM | +93% | |
| 128 | ↘8 | Me+Em | Fashion | 1,309−25.7% MoM | 8 mo of data | |
| 129 | ↗11 | Axel Arigato | Shoes | 1,284+1.2% MoM | 8 mo of data | |
| 130 | ↘17 | Beckett Simonon | Shoes | 1,284−37.5% MoM | 8 mo of data | |
| 131 | ↗2 | Panerai | Watches | 1,281−10.1% MoM | ×2.7 | |
| 132 | ↘5 | Stella McCartney | Fashion | 1,276−15.7% MoM | ×2.2 | |
| 133 | ↗2 | Graff | Jewelry | 1,273−10.0% MoM | ×3.3 | |
| 134 | ↗4 | Messika | Jewelry | 1,256−8.5% MoM | ×2.9 | |
| 135 | ↘7 | Missoma | Jewelry | 1,177−21.9% MoM | 8 mo of data | |
| 136 | ↘2 | Asket | Fashion | 1,177−17.4% MoM | 8 mo of data | |
| 137 | ↗2 | Oris | Watches | 1,168−14.6% MoM | ×2.9 | |
| 138 | ↗3 | Chaumet | Jewelry | 1,158−6.1% MoM | ×2.9 | |
| 139 | ↘3 | Eberjey | Fashion | 1,144−18.1% MoM | 8 mo of data | |
| 140 | ↘3 | Calvin Klein | Fashion | 1,131−18.5% MoM | 8 mo of data | |
| 141 | ↗4 | The Frankie Shop | Fashion | 997−10.4% MoM | 8 mo of data | |
| 142 | ↗1 | Manolo Blahnik | Shoes | 996−13.0% MoM | ×3.1 | |
| 143 | ↘1 | Nina Ricci | Fashion | 961−16.5% MoM | ×2.4 | |
| 144 | ↘12 | KOIO | Shoes | 948−33.9% MoM | 8 mo of data | |
| 145 | ↗2 | Blancpain | Watches | 938−12.1% MoM | ×2.8 | |
| 146 | — | Harry Winston | Jewelry | 925−15.8% MoM | ×2.3 | |
| 147 | ↘3 | Luca Faloni | Fashion | 922−18.3% MoM | 8 mo of data | |
| 148 | — | Christopher Ward | Watches | 915−9.4% MoM | ×2.9 | |
| 149 | — | Boucheron | Jewelry | 888−11.4% MoM | ×3.2 | |
| 150 | ↗3 | Anine Bing | Fashion | 831−7.7% MoM | 8 mo of data | |
| 151 | ↘1 | Sunspel | Fashion | 818−17.1% MoM | 8 mo of data | |
| 152 | ↗2 | Franck Muller | Watches | 801−9.6% MoM | ×2.3 | |
| 153 | ↘2 | Tod's | Fashion | 784−15.2% MoM | ×4.2 | |
| 154 | ↘2 | Monos | Bags | 782−14.5% MoM | 8 mo of data | |
| 155 | ↗2 | Zenith | Watches | 767−8.0% MoM | ×3.3 | |
| 156 | — | Allbirds | Shoes | 761−11.6% MoM | 8 mo of data | |
| 157 | ↗2 | Marni | Fashion | 720−9.4% MoM | ×2.8 | |
| 158 | ↘3 | Piaget | Watches | 718−17.4% MoM | ×2.2 | |
| 159 | ↗5 | Toteme | Fashion | 687−1.9% MoM | 8 mo of data | |
| 160 | — | Myrqvist | Shoes | 674−14.8% MoM | 8 mo of data | |
| 161 | ↗1 | Jil Sander | Fashion | 666−12.6% MoM | ×2.4 | |
| 162 | ↗1 | Morgan | Cars | 662−10.2% MoM | ×3.2 | |
| 163 | ↘5 | Breguet | Watches | 653−19.2% MoM | ×3.4 | |
| 164 | ↘3 | Drake's | Fashion | 604−20.8% MoM | 8 mo of data | |
| 165 | ↗5 | Denza | Cars | 592−8.2% MoM | ×11.4 | |
| 166 | ↘1 | Emilio Pucci | Fashion | 590−15.5% MoM | ×3.1 | |
| 167 | ↗5 | Lemaire | Fashion | 570−8.5% MoM | 8 mo of data | |
| 168 | — | Alaïa | Fashion | 548−16.8% MoM | ×2.9 | |
| 169 | — | Globe-Trotter | Bags | 522−20.5% MoM | +81% | |
| 170 | ↗8 | A. Lange & Söhne | Watches | 518−4.1% MoM | ×2.7 | |
| 171 | ↗2 | Berluti | Fashion | 516−11.6% MoM | +88% | |
| 172 | ↗5 | Our Legacy | Fashion | 512−5.4% MoM | 8 mo of data | |
| 173 | ↗3 | Mikimoto | Jewelry | 483−11.4% MoM | ×3.9 | |
| 174 | — | Thom Browne | Fashion | 482−16.2% MoM | +23% | |
| 175 | ↗4 | Brioni | Fashion | 474−12.1% MoM | ×2.2 | |
| 176 | ↘9 | Marathon | Watches | 472−29.6% MoM | 8 mo of data | |
| 177 | ↗4 | Santoni | Shoes | 471−7.3% MoM | ×2.9 | |
| 178 | ↘3 | Maurice Lacroix | Watches | 471−17.9% MoM | ×2.2 | |
| 179 | ↘8 | Buck Mason | Fashion | 457−26.9% MoM | 8 mo of data | |
| 180 | ↗3 | Sinn | Watches | 455−4.8% MoM | 8 mo of data | |
| 181 | ↗4 | Delvaux | Bags | 438−4.6% MoM | ×2.8 | |
| 182 | — | Rouje | Fashion | 427−15.4% MoM | 8 mo of data | |
| 183 | ↗1 | Baume & Mercier | Watches | 420−11.0% MoM | ×2.4 | |
| 184 | ↗2 | Carmina | Shoes | 406−10.0% MoM | 8 mo of data | |
| 185 | ↗11 | Nivada Grenchen | Watches | 381+6.1% MoM | 8 mo of data | |
| 186 | ↗9 | Dries Van Noten | Fashion | 376+2.5% MoM | ×3.0 | |
| 187 | ↘21 | Harber London | Bags | 368−46.5% MoM | 8 mo of data | |
| 188 | ↗3 | Bell & Ross | Watches | 367−8.0% MoM | ×2.5 | |
| 189 | ↗3 | Rimac | Cars | 366−7.3% MoM | ×9.6 | |
| 190 | ↘3 | Schiaparelli | Fashion | 356−20.5% MoM | ×3.8 | |
| 191 | ↘2 | Glashütte Original | Watches | 352−14.1% MoM | ×2.7 | |
| 192 | ↗6 | Doen | Fashion | 343−2.0% MoM | 8 mo of data | |
| 193 | ↘13 | Todd Snyder | Fashion | 341−34.2% MoM | 8 mo of data | |
| 194 | ↘6 | Bremont | Watches | 320−22.3% MoM | +16% | |
| 195 | ↗2 | Buccellati | Jewelry | 319−10.9% MoM | ×3.0 | |
| 196 | ↘3 | Johnstons of Elgin | Fashion | 314−18.4% MoM | 8 mo of data | |
| 197 | ↗6 | Fred | Jewelry | 311−3.1% MoM | ×2.5 | |
| 198 | ↗6 | Baltic | Watches | 299−5.7% MoM | 8 mo of data | |
| 199 | ↗8 | Ulysse Nardin | Watches | 294+0.7% MoM | ×5.9 | |
| 200 | ↘10 | Formex | Watches | 287−28.2% MoM | 8 mo of data | |
| 201 | ↗1 | F.P. Journe | Watches | 273−15.5% MoM | ×4.0 | |
| 202 | ↘1 | Girard-Perregaux | Watches | 270−17.9% MoM | ×3.0 | |
| 203 | ↗3 | Khaite | Fashion | 254−13.9% MoM | ×3.5 | |
| 204 | ↗9 | St. Agni | Fashion | 252−4.2% MoM | 8 mo of data | |
| 205 | ↘11 | Amberjack | Shoes | 248−33.0% MoM | 8 mo of data | |
| 206 | ↘6 | Hongqi | Cars | 240−29.4% MoM | ×3.8 | |
| 207 | ↗1 | Brew | Watches | 238−17.9% MoM | 8 mo of data | |
| 208 | ↗1 | Pomellato | Jewelry | 236−13.9% MoM | ×2.6 | |
| 209 | ↗5 | Auralee | Fashion | 233−10.7% MoM | 8 mo of data | |
| 210 | ↘11 | Astley Clarke | Jewelry | 232−32.2% MoM | 8 mo of data | |
| 211 | ↗6 | Norqain | Watches | 230−5.3% MoM | 8 mo of data | |
| 212 | — | Church's | Shoes | 221−17.8% MoM | +91% | |
| 213 | ↘3 | Li Auto | Cars | 218−20.1% MoM | ×3.0 | |
| 214 | ↗7 | Yema | Watches | 216−0.9% MoM | 8 mo of data | |
| 215 | ↘10 | Meermin | Shoes | 213−29.5% MoM | 8 mo of data | |
| 216 | ↗6 | Velasca | Shoes | 209−3.7% MoM | 8 mo of data | |
| 217 | ↘1 | Studio Nicholson | Fashion | 209−14.3% MoM | 8 mo of data | |
| 218 | ↗6 | Studio Underd0g | Watches | 202+0.0% MoM | 8 mo of data | |
| 219 | ↗4 | Avatr | Cars | 200−2.4% MoM | ×5.0 | |
| 220 | ↘2 | Hennessey | Cars | 199−18.1% MoM | +12% | |
| 221 | ↘10 | Cuyana | Bags | 194−28.7% MoM | 8 mo of data | |
| 222 | ↘2 | Roger Dubuis | Watches | 189−17.8% MoM | ×2.7 | |
| 223 | ↗7 | Dinh Van | Jewelry | 188+3.3% MoM | +88% | |
| 224 | ↗4 | Valextra | Bags | 174−5.9% MoM | ×2.2 | |
| 225 | — | Farer | Watches | 170−9.6% MoM | 8 mo of data | |
| 226 | ↗5 | Nanushka | Fashion | 165−8.3% MoM | 8 mo of data | |
| 227 | ↘12 | LIV Swiss Watches | Watches | 164−35.2% MoM | +11% | |
| 228 | ↗8 | Singer | Cars | 160−0.6% MoM | ×3.7 | |
| 229 | ↘2 | Karma | Cars | 158−15.5% MoM | +78% | |
| 230 | ↗13 | Aspesi | Fashion | 145+5.8% MoM | 8 mo of data | |
| 231 | ↘2 | Norse Projects | Fashion | 140−23.5% MoM | 8 mo of data | |
| 232 | ↗3 | With Nothing Underneath | Fashion | 140−16.2% MoM | 8 mo of data | |
| 233 | ↘7 | Grenson | Shoes | 137−27.1% MoM | 8 mo of data | |
| 234 | ↗4 | Unimatic | Watches | 136−11.1% MoM | 8 mo of data | |
| 235 | ↗4 | Techart | Cars | 134−11.8% MoM | +51% | |
| 236 | ↘17 | Vaultskin | Bags | 134−42.7% MoM | 8 mo of data | |
| 237 | ↗14 | Furlan Marri | Watches | 131+6.5% MoM | 8 mo of data | |
| 238 | ↗9 | Alpina | Watches | 128−2.3% MoM | +73% | |
| 239 | ↗6 | Kurono Tokyo | Watches | 128−4.5% MoM | 8 mo of data | |
| 240 | ↗1 | Edward Green | Shoes | 120−13.7% MoM | ×3.1 | |
| 241 | ↘9 | Private White V.C. | Fashion | 118−32.2% MoM | 8 mo of data | |
| 242 | ↘2 | Mansur Gavriel | Bags | 117−19.3% MoM | 8 mo of data | |
| 243 | ↘9 | John Lobb | Shoes | 117−30.8% MoM | ×2.3 | |
| 244 | ↗4 | De Tomaso | Cars | 117−9.3% MoM | ×9.8 | |
| 245 | ↘12 | behno | Bags | 117−32.4% MoM | 8 mo of data | |
| 246 | — | Troubadour | Bags | 114−14.3% MoM | 8 mo of data | |
| 247 | ↗3 | Serica | Watches | 109−11.4% MoM | 8 mo of data | |
| 248 | ↘4 | KAAI | Bags | 109−20.4% MoM | 8 mo of data | |
| 249 | — | Foundrae | Jewelry | 108−14.3% MoM | 8 mo of data | |
| 250 | ↗3 | Lorier | Watches | 105−5.4% MoM | 8 mo of data | |
| 251 | ↗4 | Automobili Pininfarina | Cars | 101−4.7% MoM | ×2.0 | |
| 252 | — | H. Moser & Cie | Watches | 97−15.7% MoM | +33% | |
| 253 | ↘11 | Carl F. Bucherer | Watches | 93−32.6% MoM | +82% | |
| 254 | — | Novitec | Cars | 90−18.9% MoM | −30% | |
| 255 | ↘18 | Yangwang | Cars | 88−44.7% MoM | ×88.0 | |
| 256 | ↗3 | RUF | Cars | 85−3.4% MoM | ×7.7 | |
| 257 | ↗1 | Parmigiani Fleurier | Watches | 84−7.7% MoM | ×2.5 | |
| 258 | ↘2 | MB&F | Watches | 83−20.2% MoM | ×3.2 | |
| 259 | ↗22 | Czinger | Cars | 77+63.8% MoM | ×77.0 | |
| 260 | ↗2 | Zenvo | Cars | 75−5.1% MoM | ×5.8 | |
| 261 | ↘1 | Ming | Watches | 73−9.9% MoM | 8 mo of data | |
| 262 | ↗1 | Traska | Watches | 71−6.6% MoM | 8 mo of data | |
| 263 | ↘6 | Aurate | Jewelry | 70−24.7% MoM | 8 mo of data | |
| 264 | ↘3 | Extreme Cashmere | Fashion | 69−12.7% MoM | 8 mo of data | |
| 265 | — | anOrdain | Watches | 65−13.3% MoM | 8 mo of data | |
| 266 | ↗2 | M.Gemi | Shoes | 59−7.8% MoM | 8 mo of data | |
| 267 | ↗7 | Czapek | Watches | 59+5.4% MoM | ×3.3 | |
| 268 | ↗1 | Officine Générale | Fashion | 58−9.4% MoM | 8 mo of data | |
| 269 | ↘5 | Jessica McCormack | Jewelry | 58−22.7% MoM | 8 mo of data | |
| 270 | — | Nodus | Watches | 57−9.5% MoM | 8 mo of data | |
| 271 | ↗2 | Serapian | Bags | 52−13.3% MoM | ×2.5 | |
| 272 | ↘1 | Ressence | Watches | 51−16.4% MoM | ×3.6 | |
| 273 | ↘6 | Eagle | Cars | 50−25.4% MoM | ×8.3 | |
| 274 | ↗5 | Sophie Bille Brahe | Jewelry | 49+4.3% MoM | 8 mo of data | |
| 275 | ↘3 | Common Projects | Shoes | 47−23.0% MoM | 8 mo of data | |
| 276 | ↗7 | Urwerk | Watches | 47+2.2% MoM | ×3.6 | |
| 277 | ↘11 | Everrati | Cars | 46−33.3% MoM | +21% | |
| 278 | ↘3 | Métier | Bags | 44−15.4% MoM | 8 mo of data | |
| 279 | ↘3 | Jaquet Droz | Watches | 44−15.4% MoM | ×2.9 | |
| 280 | ↗10 | Zelos | Watches | 42+2.4% MoM | 8 mo of data | |
| 281 | ↗1 | Repossi | Jewelry | 42−8.7% MoM | ×2.8 | |
| 282 | ↗4 | Stowa | Watches | 41−6.8% MoM | 8 mo of data | |
| 283 | ↗1 | Gemballa | Cars | 41−8.9% MoM | ×10.3 | |
| 284 | ↗1 | Armin Strom | Watches | 40−9.1% MoM | ×8.0 | |
| 285 | ↗3 | Moritz Grossmann | Watches | 37−14.0% MoM | ×3.4 | |
| 286 | ↘8 | Laurent Ferrier | Watches | 36−26.5% MoM | +64% | |
| 287 | ↘10 | Damasko | Watches | 35−28.6% MoM | 8 mo of data | |
| 288 | ↘8 | Otiumberg | Jewelry | 34−27.7% MoM | 8 mo of data | |
| 289 | ↗2 | Anita Ko | Jewelry | 33−8.3% MoM | 8 mo of data | |
| 290 | ↗5 | Trilobe | Watches | 30+3.4% MoM | ×2.7 | |
| 291 | ↗3 | Halios | Watches | 30−3.2% MoM | 8 mo of data | |
| 292 | ↘3 | Monta | Watches | 28−31.7% MoM | 8 mo of data | |
| 293 | ↗3 | De Bethune | Watches | 28+12.0% MoM | ×2.8 | |
| 294 | ↘2 | L'Estrange London | Fashion | 28−20.0% MoM | 8 mo of data | |
| 295 | ↘2 | Sonia Rykiel | Fashion | 27−20.6% MoM | +93% | |
| 296 | ↘9 | Oak & Oscar | Watches | 24−44.2% MoM | 8 mo of data | |
| 297 | ↗4 | Autodromo | Watches | 20+11.1% MoM | 8 mo of data | |
| 298 | ↘1 | Ghurka | Bags | 16−27.3% MoM | +60% | |
| 299 | ↘1 | Arnold & Son | Watches | 16−23.8% MoM | ×3.2 | |
| 300 | ↘1 | Hispano Suiza | Cars | 15−25.0% MoM | ×3.0 | |
| 301 | ↘1 | Gordon Murray Automotive | Cars | 15−25.0% MoM | −17% | |
| 302 | ↗1 | Grönefeld | Watches | 11−8.3% MoM | 10 mo of data | |
| 303 | ↘1 | Zeekr | Cars | 9−35.7% MoM | −74% | |
| 304 | — | Marc Philipp Gemballa | Cars | 6−25.0% MoM | 8 mo of data | |
| 305 | ↗1 | Bamford | Watches | 4+33.3% MoM | −20% | |
| 306 | ↘1 | Voutilainen | Watches | 3−25.0% MoM | 7 mo of data | |
| 307 | Lunaz | Cars | 1 | 5 mo of data | ||
| 308 | ↘1 | Wagoneer | Cars | 1−50.0% MoM | 4 mo of data |
Nothing in the ranking matches that. Clear the search to see every brand.
Showing 308 of 308 brands · November 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.