AI Scores / Food & Beverage

Food & Beverage AI Scores
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AI Visibility Scores for Food and Beverage Brands

When someone asks an AI engine for a food or drink recommendation, the brands that get cited are the ones structured for AI discovery. See how food and beverage brands in our index score across 6 AEO categories.

112,596
Brands Scored
4.6/10
Industry Average
<1%
AI-Ready (8+)

Score Distribution - 112,596 Food & Beverage Brands

AI-Ready8-10
<1%
234
Getting There6-7
19%
21,442
Needs Work4-5
69%
77,141
Not Discoverable0-3
12%
13,779

Only <1% of food & beverage brands are AI-ready.

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

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112,596 brands scored - page 1117 of 1,126

G

glifeblog.com

3/10
C

ChromaTube

3/10
O

Online Photo Collage Maker

3/10

臺灣科技大學

3/10
N

North Annandale Hotel |

3/10
N

North Cafe

3/10
R

Raagf

3/10
N

Northside Sandwich Shop

3/10
N

Not Quite Cooked

3/10
N

Nova Discount Liquor

3/10
D

Desarrollos ACME

3/10
M

Meal Planner

3/10
N

Northern Suburbs Junior Rugby Union

3/10
E

Emoji Widget

3/10
W

Wiki Empire

3/10
N

Nthaising Toukley

3/10
H

Home

3/10
H

Home

3/10
H

Home

3/10
U

University of Melbourne Email List Service

3/10

泉の園

3/10
M

Mixolio

3/10
T

Terminal

3/10
N

Nature Tab

3/10
O

ODBEXPRESS

3/10
V

Vận Chuyển Quốc Tế Trung

3/10
P

PlanWell Desktop

3/10
M

Made by Barry Magazinovic

3/10
S

Safer2Search

3/10
O

Octanevents

3/10
O

Odd Frog Lodges

3/10
O

ODÉ BISTRO

3/10
S

SiteLock3r

3/10
O

O'Hey

3/10
ر

رفيق الرقمنة

3/10
O

Old Reynella Shopping Centre|

3/10
T

TastyTab

3/10
O

Olympia Motel in Queanbeyan

3/10
O

Ombré Robina

3/10
O

ONE Coffin Bay • Home

3/10
O

Onesystem

3/10
E

Everything for OnlyMe

3/10
O

OnTheGoEspresso

3/10
N

NMIContact

3/10
O

Ookami

3/10
B

Brötchenservice Rude |

3/10

隐私政策

3/10
R

Recipe Ripper

3/10
S

Signals

3/10
G

GABORDELAROSA

3/10
O

Orchard Road

3/10
H

HVP Prolab school photo service

3/10
O

Osaka Japanese Restaurant

3/10
O

OSCG GLANDS

3/10
T

tailBlast

3/10
O

O'Sheas On The Waterfront, Machans Beach Cafe / Restaurant & Bar with Beach Views on OSheas Esplanade

3/10
R

Restaurant Wheel of Fortune

3/10
O

Osteria Renata

3/10
L

Lmdah61

3/10
H

Home

3/10
O

Outlaw Pizza

3/10
O

Overlander Hotel

3/10
H

Hitab New Tab

3/10
O

OZAUP Australian United Pharmaceuticals PTY LTD

3/10
H

Home

3/10
X

Xpnss

3/10
O

Ozi Desi

3/10
D

Drop Tab

3/10
M

My Habits

3/10
M

Matte Tab

3/10
S

Swift Shortcuts

3/10
P

Pacific Coast Motel

3/10
P

Pacific Cranes

3/10
P

PN Website homepage

3/10
P

Pacific Resources International

3/10
P

Pacific Power

3/10
P

PaddockMap

3/10
U

Unique Catering Opportunity

3/10
C

ChatJump

3/10
T

The Original Paintbar

3/10
R

Recijoy

3/10
R

Replywise

3/10
P

Pesca

3/10
I

Index of /

3/10
P

Paparazi Cafe

3/10
P

Paperrun Espresso Bar

3/10
P

Paradise Marina

3/10
P

please choose restaurant

3/10
P

Paramountliquor

3/10
P

Paramount Pizza

3/10

云拓魔方

3/10
R

Rin

3/10
P

Parisis restaurant

3/10
V

VC Tools

3/10
P

Parkview Motel:Home

3/10
P

Parley Bar Perth

3/10
P

Part Time Lover

3/10
R

RecipeGenius

3/10
P

Past Connections Antiques

3/10
A

A Patch of Country

3/10
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Want to improve your AI visibility score?

Read: AEO guide for Food & Beverage brands →

What an AEO score of 4.6/10 means for food & beverage brands

The average Food & Beverage brand we've scored sits at 4.6/10. 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 food & beverage

  • 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 food & beverage 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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