Washers & Dryers: AI Market Discovery Index

Tracking how AI platforms recommend washers & dryers. This public AI Market Discovery Index is updated monthly since July 2026.

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

6 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: LG
08Category Leader: Whirlpool
09Recommendation Placement Snapshot
10Buyer-Intent Distribution
11Historical Measurement Record
12Evidence and Source Layer

Benchmark Summary

Whirlpool led the Washers & Dryers benchmark in September 2026, with valid recommendation coverage of 52.0%, down from 59.8% in July 2026. LG followed at 45.3%, down from 55.7% in July 2026, a gap of 6.7 percentage points between the two leaders in the current month.

The largest coverage decreases in September 2026 were widespread. LG fell from 55.3% in August 2026 to 45.3% in September 2026, and Electrolux fell from 22.4% in August 2026 to 13.9% in September 2026. No brand posted a coverage increase in September 2026, and no brand posted an increase over the full July-through-September period.

This was a month of broad movement, with seven of the ten tracked brands declining beyond normal month-to-month variation. Whirlpool declined for a second consecutive month, moving from 59.8% in July 2026 to 52.0% in September 2026, with a drop of 7.7 points from August 2026 to September 2026. LG also declined for a second consecutive month, falling from 55.7% in July 2026 to 45.3% in September 2026, including a 10.0-point drop from August 2026 to September 2026. GE Appliances, Bosch, Maytag, and Frigidaire each declined in both the July-to-August and August-to-September intervals.

The benchmark began with 800 prompt-surface observations in each month and produced 375 qualified observations in September 2026, up from 361 in July 2026 and 340 in August 2026.

AI recommendation trend

valid recommendation coverage, Jul 2026 to Sep 2026

Whirlpool52.0%
LG45.3%
GE Appliances45.1%
Bosch40.8%
Maytag32.8%
Speed Queen30.1%
Samsung25.9%
Frigidaire22.1%
Electrolux13.9%
Kenmore2.1%

Current Benchmark at a Glance

Measure	July 2026	September 2026	Movement
Qualified benchmark observations	361	375	Up 14
Tracked brands	10	10	No change
Qualified surface breadth	6	6	No change
Recommendation-shaped answer share	33.8%	22.4%	Down 11.4 points
Valid recommendation shortlist share	61.5%	49.1%	Down 12.4 points
Leader by valid recommendation coverage	Whirlpool (59.8%)	Whirlpool (52.0%)	Down 7.8 points

Qualified surface breadth refers to the number of canonical AI/search surface families with at least one qualified observation. The six families tested are ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. The benchmark recorded qualified observations across all six families in all three months.

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In August 2026, the recommendation-shaped answer share dipped to 24.4% and the valid recommendation shortlist share held at 61.2%, before both measures declined further in September 2026. The overall share of recommendation-shaped answers fell 11.4 points across the period, indicating the AI surfaces shifted toward non-recommendation responses.

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

Research Scope and Qualification

The public benchmark is narrower than the raw collection universe by design. The funnel below shows how raw prompt-surface observations are reduced to the qualified set used for brand-level metrics.

Research stage	July 2026	September 2026	What it represents
Source prompt-surface observations	800	800	Total prompts collected across AI/search surfaces
Unique questions	610	612	Distinct questions after deduplication
Brand / competitor mentions	800	800	Prompts mentioning a brand or competitor
Relevant observations	480	472	On-topic observations for this vertical
Irrelevant observations	320	328	Off-topic or out-of-scope observations
Qualified benchmark observations	361	375	Public denominator after reservation

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

Current Brand Standings

This table is the primary current-month benchmark view. Brands are sorted by valid recommendation coverage.

Brand	Presence rate	Valid recommendation coverage	Top-three rate	Rank-one rate	Net sentiment
Whirlpool	98.7%	52.0%	19.2%	8.5%	0.6
LG	97.1%	45.3%	28.0%	11.2%	0.5
GE Appliances	90.4%	45.1%	17.9%	4.0%	0.6
Bosch	81.9%	40.8%	22.7%	9.1%	0.6
Maytag	77.1%	32.8%	6.1%	0.8%	0.5
Speed Queen	51.5%	30.1%	12.3%	7.2%	0.7
Samsung	88.5%	25.9%	5.9%	1.1%	0.2
Frigidaire	68.0%	22.1%	3.7%	0.3%	0.3
Electrolux	41.9%	13.9%	4.0%	0.5%	0.4
Kenmore	11.2%	2.1%	0.5%	0.0%	0.1

How to Read the Standings

Presence rate: the share of qualified observations in which the brand is mentioned at all, whether recommended or not.
Valid recommendation coverage: the share of qualified observations in which the brand appears in a valid recommendation shortlist. This is the primary benchmark metric.
Top-three rate: the share of qualified observations in which the brand appears in the first three recommended positions.
Rank-one rate: the share of qualified observations in which the brand is the first recommended option.
Net sentiment: the balance of positive over negative mentions, from -1 (all negative) to +1 (all positive).

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

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Recommendation Coverage Movement

Brand	July 2026	September 2026	Movement since baseline
Bosch	49.6%	40.8%	Down 8.8 points
Electrolux	19.4%	13.9%	Down 5.5 points
Frigidaire	28.8%	22.1%	Down 6.7 points
GE Appliances	55.1%	45.1%	Down 10.0 points
Kenmore	4.4%	2.1%	Down 2.3 points
LG	55.7%	45.3%	Down 10.4 points
Maytag	42.1%	32.8%	Down 9.3 points
Samsung	29.9%	25.9%	Down 4.0 points
Speed Queen	33.5%	30.1%	Down 3.4 points
Whirlpool	59.8%	52.0%	Down 7.8 points

Every tracked brand declined over the July-to-September period. Beyond the overall decline, several single-month moves stand out. Electrolux fell 8.5 points from August 2026 to September 2026, and LG fell 10.0 points in the same interval. Whirlpool declined 7.7 points from August 2026 to September 2026, its largest single-month movement in the series.

Largest Decline: LG

LG's valid recommendation coverage declined in each of the two months since July 2026, from 55.7% in July 2026 to 45.3% in September 2026, a drop of 10.4 points. The September decline of 10.0 points from August 2026 was the steepest single-month movement in the series. LG's rank-one rate also fell from 18.3% in July 2026 to 11.2% in September 2026, a decline of 7.1 points. LG's presence rate remained strong at 97.1% in September 2026.

Category Leader: Whirlpool

Whirlpool remained the coverage leader in September 2026 at 52.0%, despite declining 7.8 points from 59.8% in July 2026. Whirlpool's decline was accompanied by a drop in its top-three rate, from 26.0% in July 2026 to 19.2% in September 2026. Its presence rate stayed nearly universal at 98.7%, and its rank-one rate stood at 8.5% in September 2026. The gap between Whirlpool and LG widened to 6.7 points in September 2026 from 4.4 points in August 2026, though both brands were lower than their July 2026 levels.

Recommendation Placement Snapshot

Coverage alone does not show how prominently a brand is recommended. Placement across the leading brands shows meaningful differences in first-position rates.

Brand	September 2026 top-three rate	September 2026 rank-one rate	July 2026 top-three rate	July 2026 rank-one rate
LG	28.0%	11.2%	32.1%	18.3%
Whirlpool	19.2%	8.5%	26.0%	11.1%
GE Appliances	17.9%	4.0%	26.3%	3.0%

Similar coverage can still hide different first-position rates. LG's 45.3% coverage in September 2026 included an 11.2% rank-one rate, well above GE Appliances' 4.0% rank-one rate at a nearly identical 45.1% coverage, showing that close coverage does not mean close prominence.

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Buyer-Intent Distribution

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

Buyer-intent class	July 2026	September 2026
Brand Recommendation	361	375
Pricing & Value	0	0
Multi-Brand Comparison	0	0
Total qualified observations	361	375

The current public series measures brand-recommendation discovery only and does not yet contain qualified observations in the pricing or 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
July 2026	361	Whirlpool	59.8%	N/A (baseline month in this series)
August 2026	340	Whirlpool	59.7%	GE Appliances down 6.3 points (Jul to Aug)
September 2026	375	Whirlpool	52.0%	LG down 10.0 points (Aug to Sep)

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, or purchase outcomes
Every possible AI response to every possible query
Organic-search ranking or traditional SEO performance
Social media mention volume or sentiment beyond the AI responses captured
Private, gated, or sponsored channels not accessible to a standard user
Causality from a metric movement alone, since correlation with other factors is not controlled

The single-month and two-month declines documented here should not yet be treated as a durable trend, since the series covers only three measurement points.

About This Benchmark

The LLM Authority Index AI Market Discovery Index is a neutral, industry-level benchmark tracking how often brands are recommended by major AI chat and search surfaces. It measures presence, recommendation coverage, placement, and sentiment across a defined set of canonical AI surfaces.

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