Bed-in-a-Box Mattresses,
according to AI
Every week we ask ChatGPT, Claude and Gemini the questions real UK consumers ask about bed-in-a-box mattresses — and record exactly which brands they put forward. Right now, Simba owns the conversation.
0 AI answers this run · 0 brands named · measured, never estimated
Simba is the default answer.
Named in 20% of bed-in-a-box mattresses answers, typically in position 2.3. Emma follows at 18%, Nectar at 17%.
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.
| # | Brand | Visibility | Avg. position | Citation share | Read→cited |
|---|---|---|---|---|---|
| 1 | Simba | 20% | 2.3 | 9% | 100% |
| 2 | Emma | 18% | 2.7 | 9% | 75% |
| 3 | Nectar | 17% | 2.0 | 15% | 25% |
| 4 | Silentnight | 12% | 2.6 | 6% | 33% |
| 5 | Eve Sleep | 8% | 3.6 | 12% | 50% |
| 6 | DreamCloud | 7% | 3.0 | 3% | 33% |
| 7 | Tempur | 7% | 3.8 | 6% | 40% |
| 8 | IKEA | 5% | 2.7 | 9% | 25% |
| 9 | Bensons for Beds | 3% | 1.5 | 0% | — |
| 10 | Helix | 3% | 3.0 | 0% | — |
| 11 | Otty | 3% | 5.0 | 0% | 0% |
| 12 | Dreams | 3% | 6.0 | 6% | 0% |
| 13 | Bear | 2% | 2.0 | 0% | — |
| 14 | ErgoFlex | 2% | 2.0 | 3% | 50% |
| 15 | Vispring | 2% | 2.0 | 0% | — |
Simba 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 29% of the 35 brands rated above indifference. Tempur leads the brands the answers name, at 77% of maximum Desire. On attachment, the most divided driver, IKEA indexes 131 against Rizzy at 51, on a category average of 100.
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 bed-in-a-box mattresses desire edition →
The referees of bed-in-a-box mattresses.
The independent sources AI models cite when answering bed-in-a-box mattresses questions — the places a brand needs to be seen, reviewed and ranked.
Emma converts reads into citations. Dreams doesn't.
When Claude or ChatGPT opens a brand's own pages while answering, does the page make the cited-sources list? Emma converts 75% of reads; Dreams just 0%. That gap is a content problem, not a visibility problem.
Full data table
| # | Brand | Visibility | Avg. position | Citation share | Read→cited |
|---|---|---|---|---|---|
| 1 | Simba | 20% | 2.3 | 9% | 100% |
| 2 | Emma | 18% | 2.7 | 9% | 75% |
| 3 | Nectar | 17% | 2.0 | 15% | 25% |
| 4 | Silentnight | 12% | 2.6 | 6% | 33% |
| 5 | Eve Sleep | 8% | 3.6 | 12% | 50% |
| 6 | DreamCloud | 7% | 3.0 | 3% | 33% |
| 7 | Tempur | 7% | 3.8 | 6% | 40% |
| 8 | IKEA | 5% | 2.7 | 9% | 25% |
| 9 | Bensons for Beds | 3% | 1.5 | 0% | — |
| 10 | Helix | 3% | 3.0 | 0% | — |
| 11 | Otty | 3% | 5.0 | 0% | 0% |
| 12 | Dreams | 3% | 6.0 | 6% | 0% |
| 13 | Bear | 2% | 2.0 | 0% | — |
| 14 | ErgoFlex | 2% | 2.0 | 3% | 50% |
| 15 | Vispring | 2% | 2.0 | 0% | — |
The models do not agree on who leads.
Ask about bed-in-a-box mattresses and the brand you are shown depends on the assistant: Claude → Emma, Gemini → Simba, ChatGPT → Simba. Their top-five lists share just 22% of names.
Brands whose visibility swings most between models — the bar per model, widest gap on the right.
The data behind this chart
| Brand | Claude | Gemini | ChatGPT | Spread |
|---|---|---|---|---|
| Emma | 30% | 20% | 5% | 25pp |
| Nectar | 25% | 20% | 5% | 20pp |
| Simba | 20% | 30% | 10% | 20pp |
| Helix | 10% | 0% | 0% | 10pp |
| Eve Sleep | 5% | 15% | 5% | 10pp |
| Dreams | 0% | 10% | 0% | 10pp |
| Silentnight | 15% | 10% | 10% | 5pp |
| Brooklyn Bedding | 5% | 0% | 0% | 5pp |
| DreamCloud | 5% | 10% | 5% | 5pp |
| Panda London | 5% | 0% | 0% | 5pp |
Editorial carry bed-in-a-box mattresses.
Every page AI opened while answering, classified by what kind of page it is. Editorial supply the most citations; category-page convert best — 95% of the ones models opened were actually cited.
The data behind this chart
| Page type | Cited | Read but not cited | Conversion |
|---|---|---|---|
| Editorial | 193 | 57 | 77% |
| How-to guides | 137 | 27 | 84% |
| Comparisons | 88 | 22 | 80% |
| Reviews | 36 | 22 | 62% |
| Listicles | 36 | 10 | 78% |
| Other | 28 | 37 | 43% |
| category-page | 18 | 1 | 95% |
| Documentation | 17 | 11 | 61% |
Structured data is what separates cited from ignored.
Of the bed-in-a-box mattresses pages models actually opened, how much more often each feature's pages ended up in the cited sources. Structured data is worth 5 percentage points; cites its sources pages fare 44pp worse. Measured within the read population, so selection can't flatter it.
The data behind this chart
| Feature | Pages with | Cited % | Pages without | Cited % | Difference |
|---|---|---|---|---|---|
| Structured data | 569 | 77% | 568 | 72% | +5pp |
| Named author | 689 | 76% | 448 | 73% | +2pp |
| Specifications | 134 | 74% | 1003 | 75% | -1pp |
| Answer up front | 415 | 69% | 722 | 78% | -9pp |
| Comparison table | 416 | 68% | 721 | 79% | -11pp |
| Updated this year | 425 | 65% | 712 | 81% | -16pp |
| Hard statistics | 249 | 61% | 888 | 79% | -18pp |
| Cites its sources | 64 | 33% | 1073 | 77% | -44pp |
Sealy 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. Sealy is the widest gap: well-built pages that still aren't converting into citations.
| Brand | Readiness | Pages cited | Pages profiled |
|---|---|---|---|
| Sealy | 45 | 0% | 25 |
| origin | 41 | 50% | 10 |
| Panda London | 40 | 40% | 5 |
| CoolNest | 38 | 88% | 16 |
| Emma | 35 | 8% | 106 |
| Happy Beds | 33 | 20% | 5 |
| Dreams | 32 | 14% | 14 |
| Silentnight | 31 | 8% | 101 |
| Tempur | 28 | 75% | 8 |
| Otty | 28 | 0% | 5 |
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.
The questions bed-in-a-box mattresses 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.
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 13:02:24 GMT.