Mattresses AI Visibility Ranking Trends - November 2026

Answer capsule

The November 2026 Mattresses benchmark compares 6 companies across 597 AI answers that met its inclusion rules. Nectar Sleep leads with 139 recommendations (23.28% of answers). At least one tracked company was recommended in 245 answers; some answers recommended several companies.

The rankings distinguish being mentioned from receiving an affirmative recommendation, then examine placement and the wording used about each company. Earlier monthly results show how counts and rates changed, with each month using its own answer total. These results describe the answers reviewed, not product quality or customer satisfaction. Differences between monthly samples limit comparisons and do not establish why a result changed.

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

Industry leaderboard

Questions This Section Answers

• How do Mattresses rank by recorded AI recommendations in November 2026?

The leaderboard orders companies by how many recorded answers affirmatively recommended them. That count is not the same as reach: a company can appear in many answers without being endorsed in most of them. Ties would require equal recommendation counts, so near-neighbors in the table are not necessarily tied.

Mentions, recommendations, shortlist placements and first-place placements answer different questions. Placements are nested within recommendations, so they should be read as position within endorsements rather than as separate wins. Rates use the full benchmark answer total, which keeps companies comparable despite differing mention volumes.

Key findings

Tracked-company answer coverage

Questions This Section Answers

• How often did the November 2026 Mattresses answer sample recommend any tracked company?

245 distinct answers recommended at least one tracked company. Counting each company recommendation separately gives 557, because an answer can recommend several companies. Answers with no tracked recommendation may still have recommended companies outside this comparison.

Every qualified answer mentioned at least one tracked company, but fewer than half recommended one. That gap shows that appearing in an answer and being affirmatively endorsed are distinct outcomes, and the benchmark should not treat presence as support.

Multiple tracked companies were recommended in a substantial minority of answers, so company totals overlap and cannot be summed into a market share. Answers without a tracked recommendation may still have named companies outside this comparison, which limits any claim about overall market coverage.

Reach and affirmative recommendation

Nectar Sleep ranks 1 by recommendation count. Mentions: 406 (68.01%); recommendations: 139 (23.28%). Top 3 placements: 88 (14.74%); first-place placements: 47 (7.87%).

Wording about the company: 160 positive, 246 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 34.2%. The net framing score was 0.39 (defined in Methodology).

267 mentions had no recorded recommendation. Of recorded recommendations, 63.31% were Top 3 and 33.81% were first-place.

Nectar Sleep leads on recommendation count while appearing in roughly two-thirds of answers. Its mentions are mostly neutral in wording, and only about a third of its mentions also carried a recommendation. Reach is therefore broader than endorsement for this company.

A recommendation requires both affirmative endorsement and positive wording, so the remaining mentions are not failed recommendations; they are appearances without recorded endorsement. The gap between mention and recommendation is the central reading here, not a shortfall to be explained.

Recommendation order and placement

Placement counts are subsets of recommendations, not additions to them. A company with many recommendations can still have a modest share of them in shortlist or first position, and the table should be read that way rather than as a separate contest.

Recommendation-to-mention ratios vary widely across companies, and the highest ratio belongs to the company with the fewest mentions, so that strong figure rests on a sparse base. These ratios describe recorded answer wording, not customer conversion or sales.

Classified framing in context

Framing classifies the wording around each mention as positive, neutral or negative. Neutral wording dominates for most companies, and negative wording is nearly absent, so the net framing score mostly reflects the balance of positive against neutral rather than any recorded criticism.

Framing is not customer sentiment or a judgment of company quality, and it does not explain why recommendations occurred or did not occur. A higher score indicates more favorable wording in these answers, nothing more.

Company results in detail

Nectar Sleep

Questions This Section Answers

• What do the November 2026 AI answer results show about Nectar Sleep mentions, recommendations and placement?

Nectar Sleep ranks 1 by recommendation count. Mentions: 406 (68.01%); recommendations: 139 (23.28%). Top 3 placements: 88 (14.74%); first-place placements: 47 (7.87%).

Wording about the company: 160 positive, 246 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 34.2%. The net framing score was 0.39 (defined in Methodology).

267 mentions had no recorded recommendation. Of recorded recommendations, 63.31% were Top 3 and 33.81% were first-place.

There are insufficient usable monthly observations for a prior-period comparison.

Nectar Sleep ranks first by recommendation count and appears in about two-thirds of answers, giving it the broadest reach among the tracked companies. Its wording is largely neutral, with no negative mentions recorded, and roughly a third of its mentions also carried a recommendation.

Most of its recommendations sit in shortlist position, with a smaller share in first place. No usable prior-month observations exist, so this profile describes a single reporting period only.

Tempur-Pedic

Questions This Section Answers

• What do the November 2026 AI answer results show about Tempur-Pedic mentions, recommendations and placement?

Tempur-Pedic ranks 2 by recommendation count. Mentions: 436 (73.03%); recommendations: 110 (18.43%). Top 3 placements: 75 (12.56%); first-place placements: 29 (4.86%).

Wording about the company: 129 positive, 307 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 25.2%. The net framing score was 0.30 (defined in Methodology).

326 mentions had no recorded recommendation. Of recorded recommendations, 68.18% were Top 3 and 26.36% were first-place.

There are insufficient usable monthly observations for a prior-period comparison.

Tempur-Pedic ranks second by recommendation count and has the second-highest mention reach, appearing in nearly three-quarters of answers. Its recommendation-to-mention ratio is lower than the leader's, and its wording is predominantly neutral with no negative mentions.

A majority of its recommendations fall in shortlist position, with about a quarter in first place. Prior-period comparison is unavailable, so no trend should be inferred.

Leesa

Questions This Section Answers

• What do the November 2026 AI answer results show about Leesa mentions, recommendations and placement?

Leesa ranks 3 by recommendation count. Mentions: 275 (46.06%); recommendations: 98 (16.42%). Top 3 placements: 47 (7.87%); first-place placements: 26 (4.36%).

Wording about the company: 113 positive, 162 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 35.6%. The net framing score was 0.41 (defined in Methodology).

177 mentions had no recorded recommendation. Of recorded recommendations, 47.96% were Top 3 and 26.53% were first-place.

There are insufficient usable monthly observations for a prior-period comparison.

Leesa ranks third by recommendation count on a more moderate mention base, and its recommendation-to-mention ratio is among the higher ones recorded. Wording is mostly neutral with a substantial positive share and no negative mentions.

Its recommendations split between shortlist and first-place positions, with shortlist the larger portion. The profile covers one reporting period, and no prior-month comparison is available.

Purple

Questions This Section Answers

• What do the November 2026 AI answer results show about Purple mentions, recommendations and placement?

Purple ranks 4 by recommendation count. Mentions: 466 (78.06%); recommendations: 95 (15.91%). Top 3 placements: 63 (10.55%); first-place placements: 18 (3.02%).

Wording about the company: 115 positive, 350 neutral, 1 negative mentions. The proportion of mentions that also included a recommendation was 20.4%. The net framing score was 0.24 (defined in Methodology).

371 mentions had no recorded recommendation. Of recorded recommendations, 66.32% were Top 3 and 18.95% were first-place.

There are insufficient usable monthly observations for a prior-period comparison.

Purple has the highest mention reach of the tracked companies but ranks fourth by recommendation count, so its recommendation-to-mention ratio is the lowest recorded here. Wording is overwhelmingly neutral, with a single negative mention noted.

Most of its recommendations are shortlist placements, and first-place placements are comparatively few. This is a reach-heavy, endorsement-light profile within these answers, and no prior-period comparison exists.

Casper

Questions This Section Answers

• What do the November 2026 AI answer results show about Casper mentions, recommendations and placement?

Casper ranks 5 by recommendation count. Mentions: 404 (67.67%); recommendations: 74 (12.40%). Top 3 placements: 43 (7.20%); first-place placements: 17 (2.85%).

Wording about the company: 97 positive, 307 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 18.3%. The net framing score was 0.24 (defined in Methodology).

330 mentions had no recorded recommendation. Of recorded recommendations, 58.11% were Top 3 and 22.97% were first-place.

There are insufficient usable monthly observations for a prior-period comparison.

Casper ranks fifth by recommendation count with mention reach similar to the leader's, but a much lower recommendation-to-mention ratio. Its wording is almost entirely neutral, with no negative mentions recorded.

Shortlist placements make up the majority of its recommendations, and first-place placements are a smaller subset. The profile reflects a single reporting period with no usable prior-month observations.

Amerisleep

Questions This Section Answers

• What do the November 2026 AI answer results show about Amerisleep mentions, recommendations and placement?

Amerisleep ranks 6 by recommendation count. Mentions: 72 (12.06%); recommendations: 41 (6.87%). Top 3 placements: 27 (4.52%); first-place placements: 17 (2.85%).

Wording about the company: 43 positive, 29 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 56.9%. The net framing score was 0.60 (defined in Methodology).

31 mentions had no recorded recommendation. Of recorded recommendations, 65.85% were Top 3 and 41.46% were first-place.

There are insufficient usable monthly observations for a prior-period comparison.

Amerisleep ranks last by recommendation count and has by far the smallest mention reach, appearing in a modest share of answers. Its recommendation-to-mention ratio is the highest recorded, but that figure rests on a sparse base and should be read with that qualification.

Wording is more positive than neutral, and most of its recommendations are shortlist placements, with a notable first-place share. No prior-period comparison is available.

Earlier ranking snapshot context

Questions This Section Answers

• How do the available Mattresses snapshots from October 2026 to November 2026 differ in recommendation coverage and measurement scope?

Only months with verified results are shown. Monthly sample coverage is listed in Methodology.

Only one reporting month has verified results, so the table shows a single snapshot rather than a trend. Counts, rates and coverage should be read together: the same answer total underlies every rate, while company counts overlap because one answer can recommend several companies.

Earlier months are unavailable, and that gap is not a zero result. Monthly samples are separate selections, so comparisons across months would describe recorded change without establishing why it occurred.

What the November Rankings Show

The November results show that reach, recommendation, placement and framing answer different questions. A company can appear widely without being endorsed often, and a company can be endorsed at a high rate on a narrow base. Reading only the ranking would hide that distinction.

Placement adds position within endorsements, while framing describes the wording around mentions rather than customer sentiment. Together these measures describe what the reviewed AI answers said, not what customers think or what companies did. The single-month scope and overlapping company totals limit any broader claim.

Methodology

Questions This Section Answers

• How were the November 2026 Mattresses AI visibility measures counted, and what do they not establish?

This benchmark has partial coverage: 3 of 3 planned question categories contributed usable observations; 0 contributed none. This describes question-category coverage, not demonstrated platform outages. Findings apply to the available answer set.

The month in the title is the reporting period. The exact dates when the original AI answers were collected have not been verified.

Each company is counted at most once in each answer that meets the benchmark rules. A recommendation requires both an affirmative endorsement and positive wording. Mention, recommendation, Top 3 and first-place rates use the full benchmark answer total. Top 3 and first-place results are included within recommendations, not added to them.

The recommendation-to-mention ratio divides recommendations by mentions. It describes AI answer wording, not customer conversion. Net framing is positive minus negative mentions, divided by all mentions, on a scale from -1 to +1. It does not measure customer satisfaction or company quality.

Market: US; 6 tracked companies. AI services represented: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity.

Research screening totals (answer observations can include repeated questions):

The source does not provide a reader-facing definition of “reserved”; that screening label is reported without inferring a reason for exclusion. Only the included benchmark answers form the rate denominator.

One answer can mention or recommend several companies. Adding company totals would therefore count some answers more than once. The results describe the AI answers reviewed, not independently verified facts about the companies or their products.

Monthly sample coverage:

Reliable results for October 2026 are unavailable. This is a gap in the history, not a result of zero.

The answer samples differ between months. These comparisons show how the recorded results changed; they do not establish why they changed.

The benchmark covers a partial set of planned question categories, and findings apply only to the answers reviewed. The reporting month is a label; exact collection dates were not verified, and one answer can mention or recommend several companies, so company totals overlap.

Recommendation requires affirmative endorsement plus positive wording, and placement results are nested within recommendations. Net framing compares positive and negative wording and does not measure customer satisfaction or company quality. Reliable prior-month results are unavailable, and that gap is not a zero result.