BrandInsightAI Insights
Luxury · a live data story

Champagne & Cognac,
according to AI

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

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

The podium

Dom Pérignon is the default answer.

Named in 25% of champagne & cognac answers, typically in position 1.7. Bollinger follows at 25%, Taittinger at 18%.

Bollinger
25% of answers
Dom Pérignon
25% of answers
Taittinger
18% 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
1Dom Pérignon 25% 1.7 8% —
2Bollinger 25% 4.1 0% —
3Taittinger 18% 4.1 8% —
4Louis Roederer 17% 2.9 0% 0%
5Krug 15% 1.8 8% 100%
6Martell 12% 3.3 33% 40%
7Moët & Chandon 12% 3.3 0% 0%
8Rémy Martin 10% 1.5 17% 25%
9Hennessy 10% 1.8 8% 100%
10Veuve Clicquot 10% 2.3 0% —
11Pol Roger 10% 4.0 0% —
12Laurent-Perrier 10% 4.8 0% 0%
13Salon 8% 3.8 0% —
14Courvoisier 7% 3.5 0% —
15Jacques Selosse 7% 6.8 0% —
What AI wants here

Dom Pérignon is named most. That is not the same as being wanted.

Being named is visibility. Underneath it, asked to rate each brand directly, the AI assistants judge it three ways — how much it stands out, how much it belongs, and how much it is returned to. They put 35% of the 37 brands rated above indifference. Moët & Chandon leads the brands the answers name, at 76% of maximum Desire. On attachment, the most divided driver, Moët & Chandon indexes 130 against Guerin-Boutard at 64, on a category average of 100.

Attachment
Moët & Chandon130
Guerin-Boutard64
66-point spread
Attraction
Veuve Clicquot123
Guerin-Boutard67
56-point spread
Affinity
Billecart-Salmon114
Guerin-Boutard80
34-point spread
Moët Chandon: Attraction 121, Affinity 112, Attachment 130
Moët & Chandon
Above indifference · Ahead on all three
Veuve Clicquot: Attraction 123, Affinity 108, Attachment 122
Veuve Clicquot
Above indifference · Chosen, not loved
Dom Pérignon: Attraction 119, Affinity 108, Attachment 122
Dom Pérignon
Above indifference · Chosen, not loved
AttractionAffinityAttachment

Each whorl lights one ring per index threshold cleared (84 / 92 / 100 / 108 / 116). Above indifference means Desire above two-thirds of its maximum. See the full champagne & cognac desire edition →

Who AI trusts here

The referees of champagne & cognac.

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

champagne.fr 7 cites
drinkshouse247.co.uk 7 cites
reddit.com 7 cites
alibaba.com 6 cites
brandyclassics.com 6 cites
decanter.com 6 cites
champagneandgifts.co.uk 5 cites
youtube.com 5 cites
thefinestbubble.com 4 cites
champagneclub.com 3 cites
Read is not cited

Martell converts reads into citations. Rémy Martin doesn't.

When Claude or ChatGPT opens a brand's own pages while answering, does the page make the cited-sources list? Martell converts 40% of reads; Rémy Martin just 25%. That gap is a content problem, not a visibility problem.

Martell · read 5×40%
Rémy Martin · read 4×25%
Full data table
#BrandVisibilityAvg. positionCitation shareRead→cited
1Dom Pérignon25%1.78%—
2Bollinger25%4.10%—
3Taittinger18%4.18%—
4Louis Roederer17%2.90%0%
5Krug15%1.88%100%
6Martell12%3.333%40%
7Moët & Chandon12%3.30%0%
8Rémy Martin10%1.517%25%
9Hennessy10%1.88%100%
10Veuve Clicquot10%2.30%—
11Pol Roger10%4.00%—
12Laurent-Perrier10%4.80%0%
13Salon8%3.80%—
14Courvoisier7%3.50%—
15Jacques Selosse7%6.80%—
Which AI you ask

Three models. Three different answers.

Ask about champagne & cognac and the brand you are shown depends on the assistant: Claude → Dom Pérignon, Gemini → Louis Roederer, ChatGPT → Bollinger. Their top-five lists share just 22% of names.

Claude recommends
Dom Pérignon
named in 20% of its answers
Gemini recommends
Louis Roederer
named in 30% of its answers
ChatGPT recommends
Bollinger
named in 30% of its answers

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

Louis Roederer 20pp
Taittinger 20pp
Pol Roger 20pp
Bollinger 15pp
Veuve Clicquot 15pp
Dom Pérignon 10pp
Krug 10pp
Hermitage 10pp
ClaudeGeminiChatGPT
The data behind this chart
BrandClaudeGeminiChatGPTSpread
Louis Roederer10%30%10%20pp
Taittinger5%25%25%20pp
Pol Roger0%20%10%20pp
Bollinger15%30%30%15pp
Veuve Clicquot5%20%5%15pp
Dom Pérignon20%30%25%10pp
Krug10%15%20%10pp
Hermitage10%5%0%10pp
Jacques Selosse0%10%10%10pp
Hine0%10%0%10pp
What AI reads here

How-to guides carry champagne & cognac.

Every page AI opened while answering, classified by what kind of page it is. How-to guides supply the most citations; category-page convert best — 96% of the ones models opened were actually cited.

How-to guides
50 cited · 6 read only
89% of reads cited
Editorial
50 cited · 35 read only
59% of reads cited
Product pages
31 cited · 4 read only
89% of reads cited
category-page
26 cited · 1 read only
96% of reads cited
Other
15 cited · 9 read only
63% of reads cited
Listicles
11 cited · 3 read only
79% of reads cited
Community threads
5 cited · 5 read only
50% of reads cited
The data behind this chart
Page typeCitedRead but not citedConversion
How-to guides50689%
Editorial503559%
Product pages31489%
category-page26196%
Other15963%
Listicles11379%
Community threads5550%
What gets cited

Specifications is what separates cited from ignored.

Of the champagne & cognac pages models actually opened, how much more often each feature's pages ended up in the cited sources. Specifications is worth 5 percentage points; cites its sources pages fare 64pp worse. Measured within the read population, so selection can't flatter it.

Specifications +5pp
Structured data +3pp
Named author -11pp
Hard statistics -17pp
Updated this year -18pp
Answer up front -21pp
Comparison table -22pp
Cites its sources -64pp
The data behind this chart
FeaturePages withCited %Pages withoutCited %Difference
Specifications7977%20473%+5pp
Structured data22075%6371%+3pp
Named author13268%15179%-11pp
Hard statistics6161%22277%-17pp
Updated this year9862%18580%-18pp
Answer up front12162%16283%-21pp
Comparison table5756%22678%-22pp
Cites its sources3418%24982%-64pp
Citation readiness

Martell builds pages AI can quote.

Readiness scores each brand's own pages on the structure models reward — a direct answer up front, tables, hard numbers, named authors, structured data, recency, specifications. Krug is the widest gap: well-built pages that still aren't converting into citations.

BrandReadinessPages citedPages profiled
Martell 50 25% 4
Rémy Martin 48 43% 7
Laurent-Perrier 48 6% 32
Krug 42 0% 99
G.H. Mumm 33 67% 3
Pol Roger 29 0% 82
Bollinger 27 0% 64
Perrier-Jouët 21 0% 25
Hennessy 13 33% 3
Louis Roederer 12 0% 25

Readiness is the share of eight measurable structural signals present on a brand's profiled pages. It is a build-quality measure, not a ranking of the brand.

What the answers answer

The questions champagne & cognac pages have to settle.

Read straight off the pages AI cited: the consumer questions cited content answers most often. Content that fails to settle these is content models have no reason to quote.

What is Cognac?
How long does unopened non-vintage champagne last?
What is cognac?
How long does unopened vintage champagne last?
Does Champagne go bad?
What brands of champagne are available?
How much champagne do you need for a wedding?
What is the difference between vintage and non-vintage Champagne?
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 Sat, 17 Oct 2026 13:16:22 GMT.

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