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How AI wants bed-in-a-box mattresses

Bed-in-a-Box Mattresses is decided on attraction: Simba indexes 115 there against Silentnight at 91, a 24-point spread. Simba holds the strongest overall profile, indexing 113 against the category average: ahead on all three. But the brand assistants name most often is Simba, not the category's market leader: being desired and being named are not the same measurement. Across these 8 brands, attachment tracks being named most closely (rank correlation 0.43).

8 brands · 60 AI answers · 123 dimension scores · measured, never estimated

Attraction Standing out in the answer: named first, described as superior, magnetic and influential.
Affinity Belonging in the answer: tied to identity, values and legitimacy, not just specifications.
Attachment Staying in the answer: recommended again, dependable, easy, part of the routine.
AttractionAffinityAttachment Each whorl lights one ring per index threshold cleared (90 / 96 / 102 / 108 / 115)

100 = the average brand in the same category.100 = the average brand across every category in the index.

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Bed-in-a-Box Mattressesupset

#Brand AttractionAffinityAttachment SummaryNamed in
1 Simba: Attraction 115, Affinity 113, Attachment 108Simba: Attraction 117, Affinity 114, Attachment 110Simba 115117 113114 108110 Ahead on all threeAhead on all three 15%
2 Helix: Attraction 105, Affinity 102, Attachment 102Helix: Attraction 107, Affinity 103, Attachment 103Helix 105107 102103 102103 Noticed, not returned toNoticed, not returned to 3%
3 DreamCloud: Attraction 99, Affinity 101, Attachment 102DreamCloud: Attraction 102, Affinity 102, Attachment 103DreamCloud 99102 101102 102103 Average on all threeAverage on all three 10%
4 Winkbed: Attraction 102, Affinity 100, Attachment 99Winkbed: Attraction 105, Affinity 101, Attachment 100Winkbed 102105 100101 99100 Average on all threeNoticed, not returned to 2%
5 Emma: Attraction 97, Affinity 93, Attachment 102Emma: Attraction 99, Affinity 94, Attachment 103Emma 9799 9394 102103 Relied on, not excitingRelied on, not exciting 13%
6 IKEA: Attraction 95, Affinity 100, Attachment 99IKEA: Attraction 98, Affinity 101, Attachment 100IKEA 9598 100101 99100 Credible, not first choiceAverage on all three 3%
7 Nectar: Attraction 95, Affinity 98, Attachment 96Nectar: Attraction 98, Affinity 99, Attachment 98Nectar 9598 9899 9698 Liked, not chosenAverage on all three 12%
8 Silentnight: Attraction 91, Affinity 93, Attachment 93Silentnight: Attraction 93, Affinity 94, Attachment 95Silentnight 9193 9394 9395 Behind on all threeBehind on all three 7%

Indexed against the average of the 8 indexed bed-in-a-box mattresses brands, so 100 is the category average and a brand is read against the rivals it actually competes with.Indexed against the average of every indexed brand in the whole index — 1,605 brands across 61 categories — so 100 is the average brand anywhere here and a number reads the same on every board. 8 bed-in-a-box mattresses brands, measured across 60 AI answers in the latest weekly run.

Driver by driver

Where the category actually separates. A wide spread means assistants describe these brands very differently on that driver; a narrow one means it is table stakes.

Attraction

24-point spread · tracks being named 0.09
Simba115
Silentnight91

The widest field of the three: this is where the category separates.

Affinity

20-point spread · tracks being named -0.01
Simba113
Silentnight93

Real separation, but not the category’s defining contest.

Attachment

15-point spread · tracks being named 0.43
Simba108
Silentnight93

The tightest of the three: most brands land close together here.

Where each brand stands

Each brand's three indices, summed up in a line: which drivers it is ahead on, which it is behind on, and the one to build next. A brand that is noticed but not returned to has a different problem from one that is relied on but not exciting.

Simba: Attraction 115, Affinity 113, Attachment 108
Ahead on all three
Above average on attraction, affinity and attachment.
Simba
No driver is behind; protect the lead.
Helix: Attraction 105, Affinity 102, Attachment 102
Noticed, not returned to
Attraction is its strongest driver; attachment trails behind it.
Helix
Build next: attachment
Emma: Attraction 97, Affinity 93, Attachment 102
Relied on, not exciting
Attachment is its strongest driver; attraction trails behind it.
Emma
Build next: attraction
IKEA: Attraction 95, Affinity 100, Attachment 99
Credible, not first choice
Affinity (identity, values, legitimacy) is its strongest driver.
IKEA
Build next: attraction
Nectar: Attraction 95, Affinity 98, Attachment 96
Liked, not chosen
Affinity is its strongest driver; attachment is below average.
Nectar
Build next: attachment
DreamCloud: Attraction 99, Affinity 101, Attachment 102
Average on all three
Close to average on every driver.
DreamCloud · Winkbed
Build next: attraction
Silentnight: Attraction 91, Affinity 93, Attachment 93
Behind on all three
Below average on attraction, affinity and attachment.
Silentnight
Build next: attraction
Simba: Attraction 117, Affinity 114, Attachment 110
Ahead on all three
Above average on attraction, affinity and attachment.
Simba
No driver is behind; protect the lead.
Helix: Attraction 107, Affinity 103, Attachment 103
Noticed, not returned to
Attraction is its strongest driver; attachment trails behind it.
Helix · Winkbed
Build next: attachment
Emma: Attraction 99, Affinity 94, Attachment 103
Relied on, not exciting
Attachment is its strongest driver; attraction trails behind it.
Emma
Build next: attraction
DreamCloud: Attraction 102, Affinity 102, Attachment 103
Average on all three
Close to average on every driver.
DreamCloud · IKEA · Nectar
Build next: attraction
Silentnight: Attraction 93, Affinity 94, Attachment 95
Behind on all three
Below average on attraction, affinity and attachment.
Silentnight
Build next: attraction

What assistants actually talk about

The sixteen dimensions underneath the drivers, scored 0–10 on how the answers describe each brand. Spread is the distance between the strongest and weakest brand: the widest are where a brand can still separate itself, the narrowest are the price of entry.

Where brands separate

DimensionDriverCategory avgStrongestSpread
Innovation & Technology Attraction 7.1 Simba 9.0 3.0
Boldness & Creativity Attraction 6.6 Simba 8.0 2.5
Quality & Performance Attraction 7.7 Simba 9.0 2.0
Style & Aesthetic Attraction 6.8 Simba 8.0 2.0
Differentiation vs Sameness Attraction 7.1 Simba 8.0 2.0

Where everyone reads alike

DimensionDriverCategory avgStrongestSpread
Ease of Use & Onboarding Attachment 7.7 Emma 8.0 1.0
Trust & Credibility Affinity 8.2 Simba 9.0 1.0
Sustainability & Ethics Affinity 6.4 Simba 7.0 1.0
Value & Pricing Attraction 7.4 IKEA 8.5 1.5
Delivery & Fulfilment Attachment 7.1 Simba 8.0 1.5

Does desire track being recommended?

Rank correlation between a brand's driver index and the share of answers naming it, across the 8 indexed brands in this category. A relationship inside one run's answers — descriptive, never causal, and easily moved by a single brand at this sample size.

Attraction0.09
Affinity-0.01
Attachment0.43

Method & limitations

Every week, each category runs a fixed set of unbranded consumer prompts against ChatGPT, Claude and Gemini. A separate model reads the answers and scores every brand named in them across 16 perception dimensions, 0–10. Those dimensions are grouped into the three Drivers of Desire from the Havas Science of Desire framework, and each brand's driver score is indexed against the average brand in its own category — 100 is the category average, 115 is fifteen per cent above it. The Vs all categories switch re-indexes the same scores against the average of every indexed brand across every category, so boards can be read against each other; the ranking inside a category is the same either way. Each category's own average, indexed against the whole index, is its place in the category table. The summary beside each brand describes where it stands on the three drivers against whichever benchmark is showing: above 104 counts as ahead, below 96 as behind.

This measures how AI assistants describe brands in their answers. It is not a survey of people, and it is not an endorsement: the scores are a reading of machine-generated text at the time of the run, and relationships between drivers and how often a brand is named are correlational. A brand needs at least six scored dimensions in a run to be indexed, and a category needs at least four such brands to get a board. See the full methodology.