BrandInsightAI Insights
Food · a live data story

Chocolate,
according to AI

Every week we ask ChatGPT, Claude and Gemini the questions real UK consumers ask about chocolate — and record exactly which brands they put forward. Right now, Cadbury owns the conversation.

0 AI answers this run · 0 brands named · measured, never estimated

The podium

Cadbury is the default answer.

Named in 33% of chocolate answers, typically in position 1.5. Heroes follows at 33%, Lindt at 28%.

Heroes
33% of answers
Cadbury
33% of answers
Lindt
28% of answers
The full board

Every brand AI names, ranked.

Visibility is the share of answers naming the brand; citation share is its slice of all brand-owned pages cited; read→cited is how often its pages convert a read into a citation.

#BrandVisibilityAvg. positionCitation shareRead→cited
1Cadbury 33% 1.5 0%
2Heroes 33% 1.5 0%
3Lindt 28% 1.6 29% 71%
4Galaxy 23% 2.3 4% 17%
5Hotel Chocolat 20% 1.8 46% 32%
6Maltesers 18% 3.4 0%
7Celebrations 17% 3.0 4%
8Twix 17% 3.0 0%
9Snickers 17% 3.1 0%
10Bounty 13% 3.1 0%
11KitKat 13% 3.1 0%
12Mars 13% 3.1 0%
13Quality Street 8% 5.8 0%
14Kinder 7% 3.8 4%
15After Eight 7% 6.0 0%
What AI wants here

Chocolate is decided on attraction.

Being named is visibility. Underneath it, every answer describes a brand in three ways — how much it stands out, how much it belongs, and how much it is returned to. In chocolate, Hotel Chocolat leads attraction at 125 against Nestlé at 82, indexed on the category at 100.

Attraction
Hotel Chocolat125
Nestlé82
43-point spread · tracks being named -0.07
Affinity
Lindt115
Nestlé90
25-point spread · tracks being named 0.06
Attachment
Cadbury111
Guylian88
23-point spread · tracks being named 0.61
Hotel Chocolat: Attraction 125, Affinity 112, Attachment 100
Hotel Chocolat
Magnetic but unbought
Lindt: Attraction 118, Affinity 115, Attachment 104
Lindt
Complete desire
Ferrero Rocher: Attraction 115, Affinity 109, Attachment 103
Ferrero Rocher
Magnetic but unbought
AttractionAffinityAttachment

Each whorl lights one ring per index threshold cleared. See the full chocolate desire edition →

Who AI trusts here

The referees of chocolate.

The independent sources AI models cite when answering chocolate questions — the places a brand needs to be seen, reviewed and ranked.

tesco.com 9 cites
joybuy.co.uk 7 cites
nhs.uk 7 cites
wholesalesweets.co.uk 6 cites
charbonnel.co.uk 5 cites
dallmannconfections.com 5 cites
bbcgoodfood.com 4 cites
cadburygiftsdirect.co.uk 4 cites
barry-callebaut.com 3 cites
chococraft.com 3 cites
Read is not cited

Lindt converts reads into citations. Galaxy doesn't.

When Claude or ChatGPT opens a brand's own pages while answering, does the page make the cited-sources list? Lindt converts 71% of reads; Galaxy just 17%. That gap is a content problem, not a visibility problem.

Lindt · read 7×71%
Hotel Chocolat · read 31×32%
Galaxy · read 6×17%
Full data table
#BrandVisibilityAvg. positionCitation shareRead→cited
1Cadbury33%1.50%
2Heroes33%1.50%
3Lindt28%1.629%71%
4Galaxy23%2.34%17%
5Hotel Chocolat20%1.846%32%
6Maltesers18%3.40%
7Celebrations17%3.04%
8Twix17%3.00%
9Snickers17%3.10%
10Bounty13%3.10%
11KitKat13%3.10%
12Mars13%3.10%
13Quality Street8%5.80%
14Kinder7%3.84%
15After Eight7%6.00%
Which AI you ask

Three models. Three different answers.

Ask about chocolate and the brand you are shown depends on the assistant: Claude → Lindt, Gemini → Cadbury, ChatGPT → Heroes. Their top-five lists share just 67% of names.

Claude recommends
Lindt
named in 40% of its answers
Gemini recommends
Cadbury
named in 35% of its answers
ChatGPT recommends
Heroes
named in 35% of its answers

Brands whose visibility swings most between models — the bar per model, widest gap on the right.

Lindt 20pp
Celebrations 20pp
Mars 20pp
Bounty 20pp
Galaxy 15pp
Snickers 15pp
Twix 15pp
Thorntons 15pp
ClaudeGeminiChatGPT
The data behind this chart
BrandClaudeGeminiChatGPTSpread
Lindt40%25%20%20pp
Celebrations30%10%10%20pp
Mars25%5%10%20pp
Bounty25%5%10%20pp
Galaxy30%15%25%15pp
Snickers25%15%10%15pp
Twix25%15%10%15pp
Thorntons15%0%0%15pp
Kinder0%5%15%15pp
Maltesers25%15%15%10pp
Keep exploring

Nineteen more categories.

Method: 20 unbranded consumer prompts per category, spread across the buying journey, run weekly against ChatGPT, Claude and Gemini. Read→cited uses Claude and ChatGPT only (Gemini does not separate the two). Correlational observations of model behaviour at the time of the run. Data from the run completed Wed, 02 Sep 2026 02:27:59 GMT.

scroll ↓