Ella's Bubbles AI Visibility Market Strategy Report - Walk-in Tubs

Answer Capsule

Ella's Bubbles holds the third-highest valid recommendation coverage in the Walk-in Tubs category at 35.70% in October 2026, but the brand lost 9.00 percentage points of coverage since July 2026, one of four significant decliners in the benchmark. Its raw mention presence fell 13.00 points over the same window, a larger drop than its placement metrics, which means the brand is disappearing from answers more than it is losing position within the lists it still appears in. The clearest win is first-position strength: Ella's Bubbles converts 20.21% of qualified observations into rank-one recommendations, far ahead of American Standard at 4.46%. The clearest weakness is presence erosion across ChatGPT, Copilot, and Gemini, where the brand registers between 17.50% and 27.42% valid recommendation coverage against 60.80% on Google AI Overviews. The clearest opportunity is rebuilding mention presence in the discovery prompts that stopped surfacing the brand, then defending the rank-one position it already earns when it does appear.

Who This Report Is For

This report is written for Ella's Bubbles marketing, brand, and channel leadership, and for category teams evaluating how walk-in tub brands are recommended inside AI-generated answers during buyer discovery.

Report Card

Executive Summary

Ella's Bubbles is visible but under-recommended relative to its first-position strength. The brand recorded 185 mentions across 381 qualified observations in October 2026, a raw mention presence rate of 48.56%, and converted 136 of those into valid recommendations for a coverage rate of 35.70%. That places the brand third in the category behind Kohler at 51.97% and American Standard at 51.18%, and ahead of Safe Step at 32.55%.

The month-over-month picture is mixed. Ella's Bubbles recovered 3.20 points from its September 2026 low, but the baseline-to-current move is a significant 9.00-point decline from 44.70% in July 2026. Raw mention presence fell 13.00 points over the same window, from 61.60% to 48.56%, which is a larger drop than the coverage decline. The brand is being mentioned in fewer answers, not simply being pushed down lists it still appears in.

Placement is where Ella's Bubbles is strongest. Its recommended top-three rate of 30.71% and rank-one rate of 20.21% sit behind only Kohler on first position, and its rank-one rate is more than four times American Standard's 4.46%. Its average recommended rank of 1.82 is the best in the tracked set, ahead of Kohler at 1.97. When AI systems do recommend Ella's Bubbles, they tend to place it first.

Sentiment is the strongest in the category. The brand's net sentiment score of 0.7622 leads all ten tracked companies, ahead of Safe Step at 0.6456 and American Standard at 0.6105, and it recorded zero negative mentions across 185 mentions. Positive framing is not the constraint.

The clearest platform gap is Google AI Overviews versus the conversational platforms. On Google AI Overviews, Ella's Bubbles reaches 60.80% valid recommendation coverage with a 35.20% rank-one rate. On ChatGPT it falls to 17.50% coverage, on Copilot to 22.41%, and on Gemini to 27.42%. The brand is a category leader on one surface and a mid-tier presence on the others.

The clearest cluster gap is structural rather than brand-specific. All 381 qualified observations in October 2026 fell into the Brand Recommendation cluster. The Pricing & Value and Multi-Brand Comparison clusters captured zero qualified observations, so the benchmark cannot yet show how Ella's Bubbles performs when buyers ask about cost or compare brands head to head.

What Ella's Bubbles Is Winning

Questions This Section Answers

• How does Ella's Bubbles convert appearances into first-position recommendations compared with other leading walk-in tub brands?
• Which platform gives Ella's Bubbles its strongest recommendation signal, and how strong is its rank-one rate there?
• What does the net sentiment score across 185 mentions say about how AI systems describe the brand?

Ella's Bubbles holds the strongest first-position recommendation rate among the four leading brands. Its 20.21% rank-one rate is second only to Kohler's 23.62% and more than four times American Standard's 4.46%, despite American Standard carrying 15.48 points more valid recommendation coverage. When the brand enters a recommendation list, it tends to enter at the top.

The brand also holds the best average recommended rank in the tracked set at 1.82, ahead of Kohler at 1.97 and Safe Step at 2.62. This is a placement-quality win rather than a volume win, and it is the clearest evidence that AI systems treat Ella's Bubbles as a primary option rather than a filler mention.

Sentiment is the category's strongest. A net sentiment score of 0.7622 across 185 mentions, with 141 positive, 44 neutral, and zero negative, means the framing layer is not working against the brand. The observed data suggests AI systems describe Ella's Bubbles favorably when they describe it at all.

Google AI Overviews is the strongest platform signal. Ella's Bubbles reaches 60.80% valid recommendation coverage there, ahead of American Standard at 64.00% by a narrow margin and behind Kohler at 64.80%, with a 35.20% rank-one rate that is the highest of any brand on any tracked platform. The brand's 76.80% raw mention presence on that surface is its strongest presence reading anywhere in the dataset.

The brand also recovered 3.20 points from September 2026 to October 2026, which is the only upward movement in its recent series and suggests the decline is not continuing unchecked.

Where Ella's Bubbles Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Is Ella's Bubbles losing presence in AI answers or losing position within lists it still appears in?
• On which conversational platforms does Ella's Bubbles trail competitors like Kohler in mentions and valid recommendations?
• Which competitor's rise in recommendation coverage coincides with Ella's Bubbles' decline, and what does that suggest about prompt-level displacement?

The primary gap is presence erosion, not placement erosion. Raw mention presence fell from 61.60% in July 2026 to 48.56% in October 2026, a significant 13.00-point drop, while the top-three rate moved only from 35.10% to 30.71% and the rank-one rate from 22.70% to 20.21%, neither significant. The brand is being left out of answers more often than it is being demoted within them. That pattern points to prompt-level disappearance rather than list-position competition.

The second gap is platform concentration. Google AI Overviews carries 76 of the brand's 136 valid recommendations, or roughly 56% of its recommendation volume, and delivers a 60.80% coverage rate. ChatGPT delivers 17.50%, Copilot 22.41%, and Gemini 27.42%. On Copilot, Ella's Bubbles records 21 mentions and 13 valid recommendations against Kohler's 55 mentions and 24 valid recommendations. On Gemini, the brand records 19 mentions and 17 valid recommendations against Kohler's 60 mentions and 39. The brand is competitive on one surface and materially behind on the others.

The third gap is displacement by Universal Tubs (Spa World (SWCORP). Universal Tubs was the only significant riser in the category, gaining 6.90 points of coverage from July 2026 to October 2026 and 5.80 points from September 2026, while Ella's Bubbles declined 9.00 points across the same baseline window. The benchmark's own diagnostic question asks which prompts stopped mentioning Ella's Bubbles and whether the same prompts now surface Universal Tubs. The two movements are directionally opposite in the same category and the same month.

The fourth gap is the absence of qualified data in the Pricing & Value and Multi-Brand Comparison clusters. Ella's Bubbles cannot currently be measured on cost-related or head-to-head comparison prompts, which are the query types closest to a purchase decision. The benchmark's own interpretation notes that AI platforms are answering pricing and comparison questions outside the qualified set, which means the brand's exposure in those conversations is unmeasured rather than absent.

Biggest Opportunity

Questions This Section Answers

• Should Ella's Bubbles focus on improving how it is described or on appearing in more discovery prompts?
• Which platforms offer the clearest path to recovering recommendation presence for walk-in tub buyers?

The single largest opportunity is restoring mention presence in the discovery prompts where Ella's Bubbles stopped appearing, then defending the rank-one position it already earns when it does appear. The data supports this ordering: the brand's placement metrics are strong and stable, its sentiment is the best in the category, and its decline is concentrated in the presence layer. A 13.00-point presence loss against a 4.39-point top-three loss means the brand is losing eligibility before it loses position. Recovering presence in the Brand Recommendation cluster, particularly on ChatGPT, Copilot, and Gemini where coverage sits between 17.50% and 27.42%, is the clearest path from reference to recommendation. The brand does not need to improve how it is described. It needs to be described more often.

Competitive Landscape

Questions This Section Answers

• How do Ella's Bubbles' top-three rate, rank-one rate, average rank, and sentiment compare with Kohler and American Standard?
• Which brands form the recommendation-stage leaderboard in the Walk-in Tubs category?

Kohler and American Standard hold recommendation-stage strength in the Walk-in Tubs category, with Ella's Bubbles and Safe Step forming a second tier and the remaining six brands well behind. Ella's Bubbles sits third on valid recommendation coverage but second on rank-one rate and first on average recommended rank and net sentiment.

Average recommended rank covers rank-eligible recommendations only.

Ella's Bubbles ranks third on top-three rate but second on rank-one rate, which shows the brand converts a smaller share of observations into top-three placements than American Standard while converting a much larger share into first-position placements. Its average recommended rank of 1.82 is the best in the table, and its sentiment score of 0.7622 is the highest of any tracked brand.

Prompt Evidence

Questions This Section Answers

• Which specific buyer prompts triggered Ella's Bubbles' strongest and weakest AI recommendation outcomes?
• How much does recommendation coverage vary between Google AI Overviews and ChatGPT for the same brand?

Google AI Overviews / Brand Recommendation Prompt: "What is the best bathtub to buy?" Result: Ella's Bubbles reached its strongest platform-level coverage on Google AI Overviews at 60.80%, with a 35.20% rank-one rate, the highest first-position rate recorded for any brand on any tracked surface.

ChatGPT / Brand Recommendation Prompt: "What is a good bathtub brand?" Result: Ella's Bubbles recorded 10 mentions and 7 valid recommendations on ChatGPT, a 17.50% coverage rate, well below its category-leading position on Google AI Overviews.

Gemini / Brand Recommendation Prompt: "What is the best type of freestanding bathtub?" Result: Ella's Bubbles recorded 19 mentions and 17 valid recommendations on Gemini, a 27.42% coverage rate, with a net sentiment score of 0.8947, the highest platform-level sentiment reading for the brand.

Copilot / Brand Recommendation Prompt: "What is the best brand of bathtub?" Result: Ella's Bubbles recorded 21 mentions and 13 valid recommendations on Copilot, a 22.41% coverage rate, against Kohler's 55 mentions and 24 valid recommendations on the same surface.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map the specific prompts where Ella's Bubbles stopped appearing between July 2026 and October 2026, and identify which competitor now occupies those answers.

Phase 2: Recommendation Readiness Plan Prioritize presence recovery on ChatGPT, Copilot, and Gemini, where coverage sits between 17.50% and 27.42% against 60.80% on Google AI Overviews.

Phase 3: Owned Answer Layer Buildout Strengthen the brand's owned pages so they answer the discovery questions where the brand is currently absent, using the same language buyers use in high-intent prompts.

Phase 4: Citation / Authority Layer Development Build the public evidence layer that AI systems retrieve from, including review, comparison, and retail sources, since the benchmark's cited set is led by general-purpose platforms, retail sites, and review destinations rather than brand-owned domains.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track presence rate, valid recommendation coverage, top-three rate, rank-one rate, and sentiment separately each month, because the October 2026 data shows the brand's decline is concentrated in presence rather than placement.

Why This Matters

Questions This Section Answers

• What does it mean that Ella's Bubbles wins on placement but is losing on presence in AI answers?
• Why is strong sentiment alone insufficient for maintaining AI visibility in the walk-in tub category?

Ella's Bubbles is winning the moment of recommendation and losing the moment of discovery. When the brand appears in an AI answer, it is placed first more often than any brand except Kohler, and it carries the strongest sentiment in the category. But it is appearing in fewer answers than it did three months ago, and the brands that gain that ground are the ones buyers see instead.

AI presence alone is not enough, and neither is strong placement on a shrinking base. The next move is targeted correction across three layers: the prompts where the brand has stopped surfacing, the pages that should answer those prompts, and the citations that make those answers retrievable. The benchmark shows the movement. The prompt, page, and citation layers explain the mechanism.

Core Metrics

Sentiment Score

Questions This Section Answers

• How is the sentiment score calculated, and why do unclassified mention counts mislead?
• Why can a brand with lower AI presence still carry a stronger sentiment score than a higher-presence competitor?

Sentiment Score = (positive mentions × 1 + neutral mentions × 0 + negative mentions × -1) / total mentions

For Ella's Bubbles in October 2026, that is (141 × 1 + 44 × 0 + 0 × -1) / 185, which equals 0.7622.

This matters because unclassified mention counts are misleading. A brand can appear in hundreds of answers and still lose the buyer if most of those appearances are neutral references, cautionary notes, or competitor comparisons. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal events, and counting all mentions as wins is bad measurement.

Ella's Bubbles illustrates the point in the opposite direction. Its 48.56% presence rate is 41.87 points below Kohler's 94.49%, but its sentiment score is 0.1678 points higher. The brand is mentioned less often and described better. Classified sentiment is required before interpreting AI visibility, because the two metrics tell different stories and only one of them is currently moving against the brand.

Sentiment by Platform

Methodology

1. This report is benchmark-based analysis of AI recommendation behavior in the Walk-in Tubs category for October 2026. It is not a client implementation result.
2. The reporting window is October 2026, with baseline comparisons to July 2026, August 2026, and September 2026.
3. Five AI platforms carried qualified observations in October 2026: ChatGPT, Copilot, Gemini, Google AI Mode, and Google AI Overviews. Perplexity was absent from the qualified set.
4. The October 2026 run began with 700 prompt-surface observations and 529 unique questions. Of those, 700 mentioned a tracked brand or competitor, 470 were relevant to the vertical, 230 were irrelevant, and 381 qualified for public metrics.
5. The competitor universe contains ten tracked brands: American Standard, American Tubs, Boca Walk-In Tubs, Ella's Bubbles, Independent Home, Jacuzzi, Kohler, Meditub Spa World (SWCORP), Safe Step, and Universal Tubs (Spa World (SWCORP).
6. One buyer-intent cluster carried qualified data in October 2026: Brand Recommendation. The Pricing & Value and Multi-Brand Comparison clusters captured zero qualified observations.
7. Stage 0 extraction supplied the prompt-level observations, including query, surface, brand outcome, recommendation placement, sentiment, and citations where exposed.
8. A mention is any qualified observation where the brand appears in the AI response, regardless of recommendation status.
9. A valid recommendation is a qualified observation where the brand receives a clear, attributable recommendation. Neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations.
10. Brand-level percentages use the 381 qualified observations as the public denominator, not the 700 raw prompt-surface runs.
11. Average recommended rank covers rank-eligible recommendations only. Brands with no rank-eligible recommendations are shown as N/A.
12. Limitations: the benchmark does not measure market share, sales attribution, organic-search ranking positions, social mention volume, private or sponsored channels, or causality from a metric movement alone. Small-count brands can move to or from zero on a single observation. The qualified observation base and surface mix shifted across the series, so baseline-to-current movement identifies changes worth investigating rather than establishing cause.

See How AI Is Recommending Your Brand

The public benchmark shows where Ella's Bubbles is winning and losing across AI-generated recommendations. A company-level AI visibility audit maps the specific prompts, platforms, competitors, and citation sources behind those movements into a prioritized strategy. If you want to see which prompts your brand is losing, which competitor is taking the recommendation, and which sources are shaping the answer, start with a company-level readout.