AI Scores / Fashion & Apparel

Fashion & Apparel AI Scores
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AI Visibility Scores for Fashion and Apparel Brands

Fashion shoppers ask AI engines for outfit ideas, designer recommendations, and where to buy. The brands that get cited have rich product schema, clear category data, and strong brand entity signals. See how fashion brands score.

12,149
Brands Scored
4.8/10
Industry Average
<1%
AI-Ready (8+)

Score Distribution - 12,149 Fashion & Apparel Brands

AI-Ready8-10
<1%
60
Getting There6-7
31%
3,743
Needs Work4-5
52%
6,314
Not Discoverable0-3
17%
2,032

Only <1% of fashion & apparel brands are AI-ready.

The other >99% are being skipped by ChatGPT, Perplexity, and Google AI Mode.

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12,149 brands scored - page 23 of 122

Z

Zoeylu

6/10
F

Fiona Franchimon

6/10
F

First Nation Distributors

6/10
F

Fisher & Farmer

6/10
F

Fit & Folly

6/10
L

Love U Bunches

6/10
F

FITSPO.

6/10
F

Fitspire Active

6/10
T

The Fitting Belt Company

6/10
S

SHENOR COLLECTIONS

6/10
W

wendyosterweil

6/10
F

Five Mod Wholesale

6/10
|

| Five O' Six |

6/10
F

Flair Lifestyle Clothing

6/10
F

Flawless Clothing

6/10
F

Fleks Workspaces

6/10
A

Ace Marks

6/10
F

FlightWear

6/10
F

Flinders Rural

6/10
F

Flinders Rural Livestock

6/10
F

Flip Flop Labs

6/10
F

Flirt Adult Store

6/10
F

Flo & Frankie

6/10
F

Flora + Valentine

6/10
T

The Place London

6/10
F

Flora Dry Cleaners

6/10
F

Floral Army

6/10
F

Floral Harvest

6/10
F

Florence & Marabel Collections

6/10
F

Flow Of Collaroy

6/10
C

CircleZeroEight

6/10
B

Blessed Be Magick

6/10
F

Flynn's Inland Surf Co.

6/10
F

FME Apparel

6/10
T

The Fashion Safari LLC

6/10
F

Focus Boutique

6/10
K

Kaela Kay

6/10
F

Folding tables

6/10
F

Folk and Co.

6/10
F

Folkstore

6/10
F

FOMA Collective

6/10
F

FOOL

6/10
F

Footlogics

6/10
F

Forcast

6/10
L

Le Walt

6/10
K

Knicked Australia

6/10
F

For Keeps Merch

6/10
F

Formosa Orchid Nursery

6/10
F

Forrest Golf

6/10
H

Huisenthuis.nl

6/10
F

Found by two

6/10
F

Fox & Dove

6/10
F

Foxbat Australia

6/10
F

Frankie & Co Clothing

6/10
M

mysite

6/10
F

frankly, my dali

6/10
F

Frank Nesci Homes

6/10
F

FR Clothiers

6/10
F

Freckly Ollie

6/10
F

Freddy Australia

6/10
U

UberKinky

6/10
F

Frenchbazaar

6/10
F

French Bikini

6/10
E

Eliza Faulkner Designs Inc.

6/10
O

OK Boot Corral Ltd.

6/10
F

Frisky Deer

6/10
F

From Dust

6/10
F

Front Row Style

6/10
F

FrostYou

6/10
F

Froth Collection

6/10
F

Full Bums Swimwear

6/10
F

FURDEVA

6/10
F

Furlong & Gale

6/10
F

Future Steps for Kids

6/10
F

FYYC Apparel

6/10
G

Gaius

6/10
G

Galah Home

6/10
G

Galaxy Apparel Australia

6/10
G

Gamworth Agency

6/10
G

GANT

6/10
G

Garland Design

6/10
G

Gates Edge Boutique

6/10
G

Gateway Gifts

6/10
G

Gavmanak

6/10
O

Online Store

6/10
G

Gemstone Western Australia Design

6/10
G

Genevieve's Wardrobe

6/10
G

Gentlemen’s Outfitters

6/10
B

Bo & Luca

6/10
A

Alémais

6/10
G

Getting Hitched

6/10
S

Sophie Ratner Jewelry

6/10
G

GGR Clothing Co

6/10
G

Gigi & Co

6/10
G

Gigi the store

6/10
T

True Stryde

6/10
G

Giorgia

6/10
G

Giro Aus

6/10
G

gjsdiscountfabrics.com.au

6/10
G

Glamlora

6/10
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Score your fashion & apparel brand free

Want to improve your AI visibility score?

Read: AEO guide for Fashion & Apparel brands →

What an AEO score of 4.8/10 means for fashion & apparel brands

The average Fashion & Apparel brand we've scored sits at 4.8/10. That means roughly <1% are positioned to be cited by ChatGPT, Claude, and Perplexity, while the remaining >99% are at risk of being skipped when AI engines answer customer questions.

Common AEO issues in fashion & apparel

  • Missing Organization JSON-LD with sameAs links to social profiles
  • No llms.txt file declaring the brand to AI crawlers
  • FAQ content rendered without FAQPage schema, so AI engines cannot extract it
  • robots.txt or Cloudflare WAF blocking GPTBot, ClaudeBot, or PerplexityBot
  • Thin About pages with no founder/team Person schema

How to improve your fashion & apparel AEO score

Run a free AEO score for your site and see exactly which signals are missing. The audit takes under a minute and the fix list ships as a one-click JSON-LD + llms.txt + robots.txt patch you can paste into any platform.

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