Adjustable Beds: AI Market Discovery Index

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

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

Benchmark Summary

Nectar led the Adjustable Beds benchmark in September 2026 with a valid recommendation coverage of 57.0%, essentially flat versus 56.5% in July 2026. Saatva followed at 56.2% in September 2026, down from 56.8% in July 2026, leaving a narrow 0.8-point gap between the two leaders.

The largest coverage movement was a decline. Purple fell 10.5 points from 30.7% in July 2026 to 20.2% in September 2026. Leggett & Platt also declined beyond normal month-to-month variation, down 2.0 points from 3.0% in July 2026 to 1.0% in September 2026. No brand posted a coverage increase beyond normal month-to-month variation this month.

This was a month of correction after August 2026 peaks. Nectar's coverage rose from 56.5% in July 2026 to 64.2% in August 2026, then settled to 57.0% in September 2026. Saatva's coverage climbed to a category high of 73.5% in August 2026 before returning to 56.2% in September 2026. Tempur-Pedic similarly rose to 60.8% in August 2026 and fell to 44.4% in September 2026.

The benchmark began with 800 prompt-surface observations in each month and produced 505 qualified observations after qualification.

AI recommendation trend

valid recommendation coverage, Jul 2026 to Sep 2026

0%20%40%60%80%Jul 2026Aug 2026Sep 2026
  • Nectar57.0%
  • Saatva56.2%
  • Tempur-Pedic44.4%
  • Purple20.2%
  • Lucid11.9%
  • Sleep Number11.3%
  • Amerisleep10.7%
  • GhostBed9.7%
  • Reverie1.4%
  • Leggett & Platt1.0%

Current Benchmark at a Glance

Measure

Jul 2026

Sep 2026

Movement

Qualified benchmark observations

563

505

Down 58

Tracked brands

10

10

No change

Qualified surface breadth

6

6

No change

Recommendation-shaped answer share

44.8%

44.2%

Down 0.6 points

Valid recommendation shortlist share

63.4%

63.2%

Down 0.2 points

Leader by valid recommendation coverage

Saatva (56.8%)

Nectar (57.0%)

Changed

Qualified surface breadth counts the number of canonical AI/search surface families with at least one qualified observation. The six families tracked 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 Adjustable Beds

Research Scope and Qualification

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

Research stage

Jul 2026

Sep 2026

What it represents

Source prompt-surface observations

800

800

Total prompts collected

Unique questions

622

661

Distinct questions asked

Brand / competitor mentions

800

800

Prompts mentioning a tracked brand

Relevant observations

724

674

On-topic prompts

Irrelevant observations

76

126

Off-topic prompts

Qualified benchmark observations

563

505

Public denominator

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

Current Brand Standings

Brand

Presence rate

Valid recommendation coverage

Top-three rate

Rank-one rate

Net sentiment

Nectar

86.7%

57.0%

37.2%

15.0%

0.8

Saatva

86.7%

56.2%

43.0%

18.8%

0.7

Tempur-Pedic

87.7%

44.4%

29.3%

7.7%

0.6

Purple

57.2%

20.2%

6.7%

0.8%

0.4

Lucid

14.8%

11.9%

3.2%

0.2%

0.8

Sleep Number

37.4%

11.3%

5.9%

0.8%

0.4

Amerisleep

14.5%

10.7%

5.5%

1.0%

0.9

GhostBed

14.6%

9.7%

3.0%

0.2%

0.7

Reverie

3.8%

1.4%

0.8%

0.0%

0.4

Leggett & Platt

5.1%

1.0%

0.0%

0.0%

0.4

How to Read the Standings

  • Presence rate: share of qualified observations where the brand is mentioned at all.
  • Valid recommendation coverage: share of qualified observations where the brand appears in a genuine recommendation context.
  • Top-three rate: share of qualified observations where the brand is recommended in the top three positions.
  • Rank-one rate: share of qualified observations where the brand is the first recommendation.
  • Net sentiment: reflects the balance of positive versus negative framing the brand receives within the benchmark's qualified observations, not customer satisfaction.

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

Recommendation Coverage Movement

Brand

Jul 2026

Sep 2026

Movement since baseline

Amerisleep

12.4%

10.7%

Down 1.7 points

GhostBed

10.3%

9.7%

Down 0.6 points

Leggett & Platt

3.0%

1.0%

Down 2.0 points

Lucid

13.3%

11.9%

Down 1.4 points

Nectar

56.5%

57.0%

Up 0.5 points

Purple

30.7%

20.2%

Down 10.5 points

Reverie

0.9%

1.4%

Up 0.5 points

Saatva

56.8%

56.2%

Down 0.6 points

Sleep Number

13.1%

11.3%

Down 1.8 points

Tempur-Pedic

47.6%

44.4%

Down 3.2 points

Several brands moved sharply between August 2026 and September 2026 but finished close to their July 2026 baselines. Saatva fell 17.3 points from 73.5% in August 2026 to 56.2% in September 2026, and Tempur-Pedic fell 16.4 points from 60.8% in August 2026 to 44.4% in September 2026, both beyond normal month-to-month variation. Nectar fell 7.2 points from 64.2% in August 2026 to 57.0% in September 2026, also beyond normal variation.

Largest Decline: Purple

Purple recorded the largest coverage decline in September 2026, down 10.5 points from 30.7% in July 2026 to 20.2% in September 2026, a move beyond normal month-to-month variation. Its presence rate fell 14.6 points from 71.8% in July 2026 to 57.2% in September 2026. Coverage stood at 102 qualified recommendations in September 2026, down from 173 in July 2026.

Second Largest Decline: Leggett & Platt

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Leggett & Platt also declined beyond normal month-to-month variation, down 2.0 points from 3.0% in July 2026 to 1.0% in September 2026. Its top-three rate fell 1.1 points from 1.1% in July 2026 to 0.0% in September 2026, and the brand recorded only 5 qualified recommendations in September 2026, down from 17 in July 2026.

Category Leader: Nectar

Nectar leads the category with 57.0% valid recommendation coverage in September 2026, up from 56.5% in July 2026, with a 0.8-point lead over Saatva. However, Saatva holds the higher placement rates, with a top-three rate of 43.0% and a rank-one rate of 18.8% in September 2026, compared with 37.2% and 15.0% for Nectar.

Recommendation Placement Snapshot

Coverage alone does not show how prominently a brand is recommended. Saatva and Nectar sit close on coverage, but Saatva leads both top-three and rank-one placement in September 2026.

Brand

Sep 2026 top-three rate

Sep 2026 rank-one rate

Jul 2026 top-three rate

Jul 2026 rank-one rate

Saatva

43.0%

18.8%

36.2%

14.2%

Nectar

37.2%

15.0%

29.8%

11.6%

Tempur-Pedic

29.3%

7.7%

26.1%

7.6%

Similar coverage can still hide different first-position rates: Saatva's rank-one rate of 18.8% in September 2026 leads the category even as its overall coverage trails Nectar by 0.8 points.

Buyer-Intent Distribution

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

Buyer-intent class

Jul 2026

Sep 2026

Brand Recommendation

563

505

Pricing & Value

0

0

Multi-Brand Comparison

0

0

Total qualified observations

563

505

Because all observations sit in one class, 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

Measurement

Qualified observations

Coverage leader

Leader coverage

Largest coverage movement

Jul 2026

563

Saatva

56.8%

N/A

Aug 2026

332

Saatva

73.5%

Saatva, up 16.7 points

Sep 2026

505

Nectar

57.0%

Purple, down 10.5 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, attributable sales, every possible AI response, organic-search ranking, social mention volume, or private and sponsored channels. A metric movement alone does not establish causality.

About This Benchmark

The LLM Authority Index AI Market Discovery Index is a neutral, industry-level benchmark tracking how AI and search surfaces present and recommend brands across canonical surface families. New measurements are added to the same evergreen report.

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