Mattress Brands: AI Market Discovery Index

Tracking how AI platforms recommend mattress brands. This public AI Market Discovery Index is updated monthly since July 2026.

By Mark Huntley, J.D.Growth Strategist & AI Discovery Analyst

5 minutes read

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On this page

01Benchmark Summary
02Current Benchmark at a Glance
03Research Scope and Qualification
04Current Brand Standings
05How to Read the Standings
06Recommendation Coverage Movement
07Largest Decline: Sleep Foundation
08Category Leader: Sleepopolis
09Recommendation Placement Snapshot
10Buyer-Intent Distribution
11Historical Measurement Record
12Evidence and Source Layer

Benchmark Summary

Sleepopolis led the benchmark in August 2026 with valid recommendation coverage of 3.5%, down from 4.9% in July 2026. The gap to the next brand was 0.7 percentage points, with Sleep Foundation at 2.8% in August 2026, down from 7.9% in July 2026.

Sleep Advisor posted the largest coverage increase, moving from 0.0% in July 2026 to 0.7% in August 2026. Sleep Foundation recorded the largest coverage decline, falling from 7.9% in July 2026 to 2.8% in August 2026, a movement classified as beyond normal month-to-month variation.

The benchmark began with 800 prompt-surface observations in each month and produced 284 qualified observations in August 2026 after qualification.

AI recommendation trend

valid recommendation coverage, Jul 2026 to Aug 2026

Sleepopolis-1.4%
Jul 20264.9%
Aug 20263.5%
Sleep Foundation-5.1% · beyond normal variation
Jul 20267.9%
Aug 20262.8%
Mattress Clarity-2.5%
Jul 20264.6%
Aug 20262.1%
Mattress Nerd-1.5%
Jul 20263.6%
Aug 20262.1%
Sleep Advisor+0.7%
Jul 20260.0%
Aug 20260.7%
Mattress Advisoryno change
Jul 20260.0%
Aug 20260.0%

Current Benchmark at a Glance

Measure	Jul 2026	Aug 2026	Movement
Qualified benchmark observations	305	284	Down 21
Tracked brands	6	6	No change
Qualified surface breadth	6	6	No change
Recommendation-shaped answer share	50.8%	52.1%	Up 1.3 points
Valid recommendation shortlist share	73.8%	77.1%	Up 3.3 points
Leader by valid recommendation coverage	Sleep Foundation	Sleepopolis	Changed

Qualified surface breadth counts the number of canonical AI surface families with at least one qualified observation. The six families measured are ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.

For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Mattress Brands

Research Scope and Qualification

The public benchmark is narrower than the raw collection universe by design.

Research stage	Jul 2026	Aug 2026	What it represents
Source prompt-surface observations	800	800	Total prompts collected across AI surfaces
Unique questions	737	740	Distinct questions after deduplication
Brand / competitor mentions	800	800	Prompts mentioning at least one tracked brand
Relevant observations	646	646	Prompts relevant to the mattress brand vertical
Irrelevant observations	154	154	Prompts outside the vertical scope
Qualified benchmark observations	305	284	Public denominator for brand-level metrics

Brand-level percentages use the qualified observations as the public denominator, not the raw collection. See the AI Market Discovery Methodology.

Current Brand Standings

Brand	Presence rate	Valid recommendation coverage	Top-three rate	Rank-one rate	Net sentiment
Sleepopolis	63.7%	3.5%	2.8%	1.1%	0.4
Sleep Foundation	84.9%	2.8%	2.5%	1.4%	0.4
Mattress Clarity	62.7%	2.1%	2.1%	1.1%	0.4
Mattress Nerd	55.6%	2.1%	1.8%	0.0%	0.5
Sleep Advisor	21.5%	0.7%	0.4%	0.0%	0.2
Mattress Advisory	0.0%	0.0%	0.0%	0.0%	0.0

How to Read the Standings

Presence rate is the share of qualified observations where the brand is mentioned at all.
Valid recommendation coverage is the share of qualified observations where the brand appears in a valid recommendation shortlist.
Top-three rate is the share of qualified observations where the brand appears among the top three recommended options.
Rank-one rate is the share of qualified observations where the brand is the first recommended option.
Net sentiment reflects the balance of positive versus negative mentions, from 0 to 1.

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For formulas and denominator rules, see AI Market Discovery Metric Definitions.

Recommendation Coverage Movement

Brand	Jul 2026	Aug 2026	Movement since baseline
Mattress Advisory	0.0%	0.0%	No change
Mattress Clarity	4.6%	2.1%	Down 2.5 points
Mattress Nerd	3.6%	2.1%	Down 1.5 points
Sleep Advisor	0.0%	0.7%	Up 0.7 points
Sleep Foundation	7.9%	2.8%	Down 5.1 points
Sleepopolis	4.9%	3.5%	Down 1.4 points

Largest Decline: Sleep Foundation

Sleep Foundation's valid recommendation coverage fell from 7.9% in July 2026 to 2.8% in August 2026, a decline of 5.1 percentage points that moved beyond normal month-to-month variation. Presence rose from 81.6% in July 2026 to 84.9% in August 2026, and rank-one rate increased from 0.0% to 1.4% in the same period, so the brand remained widely present even as its recommendation shortlist share narrowed.

Category Leader: Sleepopolis

Sleepopolis led in valid recommendation coverage in August 2026 at 3.5%, down from 4.9% in July 2026. Its presence rate rose from 58.7% to 63.7% over the same period. Sleep Foundation's decline moved the leader position from Sleep Foundation in July 2026 to Sleepopolis in August 2026.

Five of six tracked brands were classified as stable in August 2026, meaning their movements remained within normal month-to-month variation. Mattress Advisory held at 0.0% valid recommendation coverage in both months, with presence dropping from 1.0% in July 2026 to 0.0% in August 2026.

Recommendation Placement Snapshot

Coverage alone does not show how prominently a brand is recommended. Among the leading brands in August 2026, first-position rates varied.

Brand	Aug 2026 top-three rate	Aug 2026 rank-one rate	Jul 2026 top-three rate	Jul 2026 rank-one rate
Sleepopolis	2.8%	1.1%	2.6%	0.7%
Sleep Foundation	2.5%	1.4%	2.6%	0.0%
Mattress Clarity	2.1%	1.1%	2.0%	0.3%

Sleep Foundation posted the largest rank-one increase, moving from 0.0% in July 2026 to 1.4% in August 2026, while Sleepopolis moved from 0.7% to 1.1% over the same period. Similar coverage levels can still hide different first-position rates.

Buyer-Intent Distribution

All qualified observations in both months fell into the Brand Recommendation class.

Buyer-intent class	Jul 2026	Aug 2026
Brand Recommendation	305	284
Pricing & Value	0	0
Multi-Brand Comparison	0	0
Total qualified observations	305	284

The current public series measures brand-recommendation discovery and does not yet contain qualified observations in the pricing and value or multi-brand comparison classes.

Historical Measurement Record

This is an evergreen benchmark URL. New measurements are added to the same report.

Measurement	Qualified observations	Coverage leader	Leader coverage	Largest coverage movement
Jul 2026	305	Sleep Foundation	7.9%	Sleep Foundation down 5.1 points
Aug 2026	284	Sleepopolis	3.5%	Sleep Foundation down 5.1 points

Evidence and Source Layer

The benchmark is built from prompt-level observations that retain the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and where exposed, citations or attributable evidence sources. Source presence is evidence about the information environment. It is not automatically proof that the source caused the recommendation.

Scope Boundaries

This public benchmark does not measure:

Market share or sales attribution
Every possible AI response to a given query
Organic-search ranking positions
Social media mention volume
Private or sponsored channels
Causality from a metric movement alone

About This Benchmark

The LLM Authority Index AI Market Discovery Index is a neutral, repeatable measurement of how brands appear and are recommended across major AI and search surfaces. It tracks presence, recommendation coverage, placement, and sentiment as distinct signals.

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The public industry benchmark shows category-level standings. A company-level Authority Index can go deeper. The public percentage cannot identify the prompts, competitors, or sources causing the result.

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The paid deep-dive adds competitor threat profiles, the gap matrix, citation failure map, platform-by-platform recovery roadmap, and client-specific economic modeling.

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