We sent 28 real buying questions to ChatGPT and Google AI Overviews – the questions parents actually ask. Then we counted which providers get named, and how often. The result is a ranking built from real AI answers, not opinion.
Pampers (23.0%) and Babylove (12.8%) dominate the answers – the remaining 58 named providers split what's left. If you're not here, you simply don't exist to AI users. That's exactly the gap BuzzView makes visible.
Share of all brand mentions across 28 prompts (Share of Voice). The longer the bar, the more often AI names the provider – across every question tested.
Behind the ranking — what the numbers actually mean for brands in this space.
Across 28 real buying prompts, AI systems named 58 distinct diaper brands at least once — a figure that reveals just how broad the competitive field looks to large language models. Yet when you look at where the actual recommendations cluster, the picture changes dramatically. Pampers alone earned 70 out of 305 total mentions, giving it a share of voice of 23%. Add the next five brands — Babylove, Lillydoo, Babydream, HiPP, and Moltex — and those six names collectively account for 191 mentions, or roughly 63% of everything AI said about diapers.
This is a classic power-law distribution operating at category scale. The remaining 52 brands share the other 37% of mentions, and 46 of them fall into the "andere" bucket — brands named so infrequently that they don't even reach individual tracking thresholds. In practical terms, most diaper brands exist in AI's peripheral vision: cited occasionally when a very specific query matches their positioning, but never surfacing as a default recommendation across broad buying intents.
The diaper category is unusual in that it combines mass-market dominance (Pampers, Huggies) with strong private-label representation (Babylove from dm, Babydream from Rossmann, Lupilu from Lidl) and a growing eco-premium segment (Lillydoo, Naty, Bambo Nature, Moltex). AI systems appear to reflect shelf reality: the brands that have the widest physical distribution and the deepest presence in parenting forums, test portals like Stiftung Warentest, and retailer review systems are the ones that AI references most reliably.
For brands currently sitting outside the top tier, this concentration pattern is not permanent — but breaking into it requires more than good product quality. AI models synthesize signals from test publications, parenting communities, influencer content, and press coverage simultaneously. A brand that dominates one of these channels but is absent from the others will remain in the long tail regardless of how good its diaper actually is. Visibility in AI search is earned holistically, not through a single channel.
The top six diaper brands collectively own nearly two-thirds of all AI recommendations — brands outside this circle need a multi-channel content strategy to break through, not just a better product.
Visibility scores in the BuzzView dataset measure how consistently a brand appears across the full prompt set — not just whether it was ever mentioned, but whether it shows up reliably whenever a relevant question is asked. Pampers achieves a visibility score of 82.1, meaning it was named in over four-fifths of all 28 prompts tested. Babylove follows at 64.3, Babydream at 53.6, and Lillydoo at 50.0. Below those four, the curve drops sharply: HiPP and Huggies sit at 35.7, Lupilu and Moltex at 32.1, and Naty at 28.6.
At the bottom of the tracked set, Splash About, Pura, and Natracare each score just 7.1 — they appeared in only 2 of the 28 prompts. Mamia and Toujours reach 10.7. These are not obscure brands; some of them have significant retail presence in specific markets. But their AI visibility is severely limited, which means that in the growing share of purchase journeys that start with an AI query, these brands are effectively invisible to most parents at the moment of decision.
What drives visibility in the diaper category specifically? The clearest predictor appears to be presence in product test publications and parenting editorial content. Brands like Pampers and Babylove have years of accumulated coverage in Stiftung Warentest, Öko-Test, parenting magazines, and high-authority review sites. This test and editorial coverage provides the kind of structured, trustworthy content that AI models learn from and cite. Pure retail shelf presence, without accompanying editorial coverage, does not translate into strong AI visibility.
The 75-point gap between the top and bottom of the tracked set is one of the widest we see across consumer categories. It reflects the diaper market's split nature: a few globally scaled brands with decades of media coverage, a set of well-covered private-label ranges, and then a long tail of eco-niche or regional brands that have not yet built the editorial footprint that AI systems draw on. For Natracare, Pura, or Splash About, the path to higher visibility runs through specialist parenting publications, sustainability journalists, and structured comparison content on high-authority parent platforms.
A 75-point visibility gap separates category leaders from tail brands — in diapers, the primary driver of AI visibility is editorial test coverage, not shelf presence or marketing spend alone.
The 28 prompts in this dataset cover four distinct intent types: broad best-of questions ("beste Babywindeln"), direct comparison prompts ("Pampers vs Babylove"), alternative-seeking queries ("Alternativen zu Pampers"), and use-case or vertical prompts ("beste Windeln für empfindliche Haut", "welche Windeln laufen nachts nicht aus", "beste Windeln für Neugeborene"). Each intent type opens a different door in AI's knowledge graph and, as a result, consistently surfaces different brand sets.
Broad best-of prompts reliably surface Pampers and Babylove as the default pair — these two brands have so much accumulated positive coverage that AI models treat them as safe, consensus recommendations for general queries. Comparison prompts, however, create space for Huggies, Lillydoo, and HiPP to appear, because AI systems must now explain meaningful differences rather than simply name a winner. This is where brands with a clear differentiation story — Lillydoo's subscription model, HiPP's organic credentials — earn additional mentions.
Alternative-seeking prompts open up the most diverse brand set. When a parent asks "what should I use instead of Pampers," AI systems tend to mention budget alternatives (Babydream, Lupilu), eco alternatives (Naty, Bambo Nature, Moltex), and sometimes niche options like Bambino Mio for cloth-diaper adjacent use cases. Use-case prompts are the most revealing for specialist brands: "Windeln für empfindliche Haut" tends to surface Moltex and Naty far more than their overall share of voice would suggest, because their positioning is tightly aligned with skin-sensitivity content.
The content strategy implication is direct: diaper brands should not optimize only for generic best-of visibility. Brands like Naty, Moltex, and Bambo Nature already have a strong niche signal — but they need to ensure that signal is present in content that AI systems actually index and weight. Creating structured comparison content that directly addresses use-case queries ("best diapers for sensitive skin", "best night diapers", "best diapers for newborns") and placing it on high-authority parenting platforms is the most efficient lever these brands can pull to increase AI mentions without competing head-to-head with Pampers on broad terms.
Brands like Naty and Moltex can meaningfully improve AI visibility by owning use-case and vertical queries — where their differentiation is directly relevant — rather than chasing the broad best-of terms dominated by Pampers and Babylove.
One of the most striking findings in the diaper dataset is that not a single AI mention across all 305 outputs carried a negative sentiment signal. This sets diapers apart from categories like banking, telecoms, or travel, where AI systems regularly surface complaints, failures, or controversy alongside recommendations. In the diaper category, AI models operate almost entirely in a recommendatory register — they present options and explain suitability rather than warn against specific brands. This is good news for the entire category, but it also means sentiment differentiation happens at a more granular level: the ratio of positive to neutral mentions.
Pampers leads with 39 positive and 31 neutral mentions — a positive rate of 56%. Babylove performs even better proportionally: 30 positive out of 39 total mentions, a 77% positive rate. Babydream scores 82% positive (18 out of 22), and HiPP reaches 81% (17 out of 21). These brands earn positive mentions because AI systems draw on a body of content that includes genuine parental praise, test-portal "recommended" badges, and editorial descriptions of product performance. When the content ecosystem around a brand is affirmative, AI mirrors that affirmation.
By contrast, Huggies has a notably lower positive rate: only 6 positive mentions against 8 neutral ones, a positive rate of just 43%. Bambino Mio is the most neutral brand in the set — 0 positive, 4 neutral, 0 negative — indicating that AI mentions it as an option but without enthusiasm, typically in the context of reusable cloth diapers where it explains the product category rather than endorsing the brand. Moomin Baby (1 positive, 3 neutral) shows a similar pattern: named but not praised.
What drives positive sentiment in this category? The clearest drivers are outcome-focused content — parenting blogs and review sites where real parents describe how a diaper performed overnight, held up against a newborn's skin, or lasted through travel — and third-party validation like Stiftung Warentest or Öko-Test ratings. Brands that want to shift from neutral to positive AI mentions need more of this outcome-rich, third-party-validated content in the ecosystems that AI models crawl. Generic product descriptions do not create positive sentiment signals; detailed outcome narratives do.
In a category with zero negative AI mentions, the differentiator is the positive-to-neutral ratio — brands like Babylove (77% positive) and Babydream (82% positive) earn active AI endorsement, while brands stuck at neutral need more outcome-focused, third-party-validated content.
AI maturity in a product category can be assessed by looking at three signals: how concentrated the top mentions are, how stable the ranking order is across prompt types, and how much of the total mention share goes to tail providers. In a highly mature AI category — think smartphones or cloud computing — a tiny number of brands capture the overwhelming majority of mentions, ranks rarely shift between prompt types, and tail providers barely register. In an emerging category, mentions are fragmented, no single brand dominates, and the ranking shifts dramatically depending on how you phrase the question.
Diapers sits between these poles. The top four brands — Pampers, Babylove, Babydream, Lillydoo — are relatively stable across prompt types and collectively own a meaningful share of voice. This signals consolidation in the mass-market tier: AI has formed a clear view of who the default diaper recommendations are, and those positions will not shift without substantial changes in the underlying content and editorial ecosystem. For brands trying to break into this tier, the barrier is high and rising as AI models' training data accumulates more evidence of the existing leaders' dominance.
The eco-premium tier tells a different story. Lillydoo (8.2% SoV), Naty (4.3%), Moltex (4.6%), and Bambo Nature (3.0%) are all present but not dominant. The gap between them is narrow and the ranking within this tier is unstable — a brand like Naty can outrank Moltex on sensitive-skin prompts but fall behind on general best-of queries. This means the eco-premium segment of AI-diaper recommendations is genuinely open: a brand that invests in the right content strategy now has a realistic window to become the default AI recommendation for "sustainable diapers" before the category matures further and positions harden.
The fact that 46 brands appear only in the "andere" bucket — named once or twice across 28 prompts — confirms that the diaper category has a very long tail of providers that AI systems know exist but do not treat as credible recommendations. This long tail is unlikely to shrink; if anything, as more diaper brands are created and marketed, the tail will grow longer. What will change is which brands manage to cross the threshold from "mentioned" to "recommended." That threshold is determined not by product quality alone but by the scale and quality of the content ecosystem that surrounds a brand. For brands in the current mid-tier — HiPP, Huggies, Moltex — the strategic question is whether to invest in defending existing AI share or in capturing the eco-premium niche while it remains open.
The mass-market diaper tier is consolidating around Pampers and Babylove, but the eco-premium tier — Lillydoo, Naty, Moltex, Bambo Nature — is still genuinely contestable, making now the highest-leverage moment for sustainable diaper brands to invest in AI visibility.
See it in action
Track your brand across every AI — automatically. Here's how it works.
1. What is BuzzView?
2. Your Brand vs. Competition
3. From Data to Action
No wishful thinking: the ranking comes from exactly these prompt types – best-of questions, comparisons, alternatives and use cases.
Visibility score = share of prompts where the provider appears in the AI answer at all. 100% means: present for every relevant question.
We set the real search and buying questions of your industry – exactly how your customers actually ask AI.
Every prompt runs against all major AI models. We count mentions, position, sentiment and the cited sources.
You see your ranking, your share of voice and exactly the prompts where competitors win – and you don't.
Run your own industry comparison and see in minutes whether ChatGPT & co. recommend you – or your competitors.
Start Free Trial No credit card · Results in minutes · GDPR-compliant, hosted in Germany