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.

994,123
Brands Scored
4.6/10
Industry Average
<1%
AI-Ready (8+)

Score Distribution - 994,123 Food & Beverage Brands

AI-Ready8-10
<1%
2,087
Getting There6-7
19%
193,535
Needs Work4-5
66%
653,383
Not Discoverable0-3
15%
145,118

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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994,123 brands scored - page 8666 of 9,942

N

NeoCompounder

3/10
P

Pretty

3/10
R

relay.groups.nip29.com

3/10
N

NoteStack

3/10
O

Oliboy50

3/10
N

Nextjs Helpcenter

3/10
O

Ooze Saga

3/10
T

Transit Alarm for MTA

3/10
C

Casual campus

3/10
H

Hot Off The Press

3/10
P

PubSub Music

3/10
P

Pgp

3/10
R

Runstorage

3/10
S

s7minhas

3/10
S

Sortable

3/10
C

CSV Importer

3/10
H

HomeMobile menu

3/10
B

Blog Demo Django App

3/10
S

Simburger Photography

3/10
S

Small World Electronics

3/10
K

Kim Nazarian

3/10
B

Beetsterzwaag

3/10
S

Strani Anelli

3/10
S

Suyash Mahar

3/10
I

Introduction · Taucharts is a javascript graph library.

3/10
T

Todd Mazierski

3/10
N

Nextjs Helpcenter Template

3/10
D

Dr. Ildiko Merta

3/10
L

LibCal

3/10
Y

Yiancar PCB Designs

3/10
Z

Zulip

3/10
Z

Zulip

3/10
Z

Zulip

3/10
Z

Zulip

3/10
G

Gather

3/10
P

Per Martin

3/10
J

Jamie Day

3/10
B

blog cvoid

3/10
S

Scribble.rs

3/10
C

CADET

3/10
C

contentonauten

3/10
E

engon.de

3/10
L

Linux User Group Fulda

3/10
M

Maxanier's Maven

3/10
B

Blog

3/10
A

Apps Index

3/10
G

GIM

3/10
S

Sebastian Hoose

3/10
S

speicherleck.de

3/10
P

Personal website of PD Dr. rer. nat. Stefan Zellmann

3/10
D

Deep Adaptive Multimodal Fusion

3/10
L

Lavalink Repository

3/10
D

Dev Blog by Brian

3/10
H

Honam Mathematical Journal

3/10
P

portfolio

3/10
F

Fun Notation

3/10
H

Home

3/10
I

ization Documentation

3/10
T

Timeline of Everything

3/10
M

Mail me

3/10
N

Nerostr Relay

3/10
R

Repositories

3/10
E

ExpenseHut

3/10
Z

Z

3/10
F

fingertipideas

3/10
K

Kaia Status Status

3/10
I

Iglee Repository

3/10
C

Cyril @ Telecom ParisTech

3/10
K

Karol Desnos

3/10
M

Matthieu Mangeat

3/10
B

belief.garden

3/10
F

FutaGuard DNS

3/10
Ε

Εργαστήριο Αυτοματισμού & Ρομποτικής

3/10
D

dimex.vn

3/10
B

BlockMe.App

3/10
N

nattopages

3/10
C

Cocotte

3/10
S

Search Workbench

3/10
H

How to install and use Linker Tool extension

3/10
B

BrandKit App Documentation

3/10
P

Política de Privacidade

3/10
T

Tabs

3/10
P

Presto Menu

3/10
C

Condensation — a general

3/10
D

Devil's Advocate

3/10
M

My Question List

3/10

🚀 Rockit

3/10
L

LGTM bar

3/10
H

hetlabovandavid.be

3/10
A

Audioreviews

3/10
M

Minera ROI

3/10
O

OControlador

3/10
T

TalkBee

3/10
W

WA Envio

3/10
T

Tihh Gonçalves

3/10
W

Wa Sales

3/10
C

ChatCenter

3/10
O

OmarKhan.ca

3/10
J

Jihoon Yang (piyo.cafe)

3/10
T

Test subject

3/10
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Score your food & beverage brand free

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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