We sent 28 real buying questions to ChatGPT and Google AI Overviews – the questions dog owners actually ask. Then we counted which providers get named, and how often. The result is a ranking built from real AI answers, not opinion.
Royal Canin (9.3%) and Josera (8.1%) dominate the answers – the remaining 100 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 dog food prompts, AI systems named a total of 100 distinct providers — a number that immediately signals how fragmented this category is. The full dataset contains 334 brand mentions, but those mentions are spread thin. Royal Canin leads with 31 mentions and 9.3% share of voice, followed closely by Josera at 27 mentions and 8.1%. Below those two, the numbers fall off rapidly: Wolfsblut at 19, Hill's at 18, Terra Canis at 14, Happy Dog at 12. Even combined, these six brands account for only 121 of the 334 total mentions — roughly 36% of the pie.
The remaining 64% of mentions is split between 94 other providers, of which 88 received so few mentions that they are grouped in the "others" category. This pattern is not unusual in consumer categories where AI systems try to reflect the genuine diversity of the market. In dog food, that diversity is genuine: the category spans veterinary prescription diets, premium grain-free raw-inspired formulas, mainstream supermarket brands, and direct-to-consumer subscription products. AI models appear to treat each of these sub-segments as deserving representation.
What this means in practice is that AI visibility in dog food does not follow the winner-takes-all logic you see in, say, CRM software or cloud infrastructure. There is no single brand that dominates the way Salesforce dominates CRM recommendations or AWS dominates cloud suggestions. Even Royal Canin — the category leader here — is named in fewer than one in ten total AI responses. A brand with a focused content strategy targeting specific use cases (puppies, seniors, allergies, specific breeds) can realistically compete for AI attention without having to beat the biggest players head-on.
The contrast between mass-market brands and premium specialist brands is particularly visible in this data. Pedigree, one of the best-known dog food brands globally, appears only 8 times despite its enormous brand recognition. Meanwhile, niche players like Terra Canis (14 mentions) and Wolfsblut (19 mentions) significantly outperform it. This suggests that AI systems are drawing on content ecosystems — veterinary guides, pet nutrition forums, specialist retailer descriptions — that favor brands with deep topical content over those relying on mass advertising.
Dog food AI visibility is a fragmented market where no single brand dominates — which means content-driven specialists can compete effectively if they cover the right use cases and sub-categories with depth and authority.
Among the 16 tracked providers, the gap between the most visible and least visible brand is striking. Josera tops the visibility chart at 64.3%, meaning it was named in roughly 18 out of the 28 prompts tested. Royal Canin follows at 50.0%, and Hill's and Wolfsblut both sit at 42.9%. At the other end of the spectrum, Fresco, GranataPet, RyDog, and Sunny Hills each achieved a visibility score of just 14.3% — appearing in only about 4 prompts each. That is a gap of more than four to one between the top and bottom of the tracked set.
Interestingly, visibility and share of voice do not always move in lockstep. Josera has the highest visibility (64.3%) but the second-highest share of voice (8.1%), because when it does appear, it rarely dominates the response — it is often mentioned alongside two or three competitors. Royal Canin, by contrast, appears less frequently (50.0% visibility) but earns the highest share of voice (9.3%), suggesting that when AI systems do recommend it, Royal Canin tends to receive a stronger or more prominent placement within the response.
In the dog food category, the primary drivers of visibility appear to be the breadth of use-case coverage in a brand's content ecosystem and the degree to which veterinary and pet nutrition communities reference that brand. Royal Canin benefits from decades of veterinary endorsement and has extensive clinical nutrition documentation. Josera has invested heavily in detailed feeding guides, breed-specific content, and life-stage segmentation — content types that AI systems actively reward. Brands like Fresco and GranataPet, while well-regarded in premium circles, have narrower content footprints and appear accordingly less often.
The practical lesson is that raw brand size or retail distribution does not predict AI visibility in this category. What matters is the density and depth of publicly indexed content that connects a brand to specific consumer questions. A brand that has published thorough guides on feeding puppies, managing allergies, transitioning senior dogs to easier-to-digest diets, and selecting food for specific breeds will appear far more consistently across the prompt landscape than a brand that relies on product pages and generic marketing copy alone.
In dog food, AI visibility is earned through breadth of educational content and veterinary credibility — brands with deep life-stage and use-case coverage consistently outperform those with strong retail presence but thin content ecosystems.
The 28 prompts used in this study span four distinct intent types, and each type tends to pull different brands to the surface. Best-of prompts — broad questions like "best dog food 2026" or "which dog food do vets recommend" — overwhelmingly favor Royal Canin and Josera, the two brands with the strongest general authority signals. These prompts reward the brands that appear most frequently in aggregated "top 10" lists and veterinary recommendation articles, and Royal Canin in particular has an outsized presence in that content layer due to its long-established clinical nutrition positioning.
Comparison prompts, such as "Royal Canin vs Josera" or "Hill's vs Wolfsblut," create a different competitive dynamic. Here, AI systems must evaluate specific pairs or small sets of brands against each other, and they draw on more detailed review content, ingredient comparisons, and nutritional analysis. In these contexts, Wolfsblut and Hill's tend to perform relatively better — Wolfsblut because it owns strong positioning in the grain-free, raw-inspired segment, and Hill's because of its science-backed clinical range which gives it differentiated credibility in comparison discussions involving prescription or medical-need diets.
Alternative-seeking prompts — "what is a good alternative to Royal Canin" — are particularly interesting because they are windows of opportunity for challenger brands. When a dog owner asks for an alternative, AI systems often introduce brands that would not appear in a generic best-of list: Terra Canis, Orijen, and Bosch each benefit from this prompt type because they represent credible alternatives in the premium and natural segments respectively. Brands that have been explicitly positioned as alternatives in comparison blog posts and community discussions are systematically advantaged here.
Use-case and vertical prompts — "best dog food for puppies," "best dog food for dogs with allergies," "which food for senior dogs with joint problems" — produce the most fragmented results of all four prompt types and represent the greatest opportunity for specialist brands. Here, Josera's breed and life-stage content library gives it an edge that its general metrics alone do not reflect. Happy Dog, Anifit, and 4Paws also surface more frequently in these prompts than in generic rankings. For any brand not yet in the top tier of general AI visibility, dominating a specific vertical is the most realistic path to gaining AI share of voice.
General best-of prompts favor Royal Canin and Josera, but use-case prompts open the door for every specialist brand — meaning the most efficient AI visibility strategy for challengers is deep vertical content, not broad brand campaigns.
No brand in this dataset received a single negative AI mention — which is itself an interesting finding in a category where consumer reviews can be highly critical. But the split between positive and neutral mentions varies dramatically across providers, and this distinction matters. A positive mention means the AI actively recommended a brand or attributed a meaningful quality to it. A neutral mention means the brand was named — perhaps in a comparison or a list — without an endorsement or quality signal attached. Being mentioned is not the same as being recommended, and this gap reveals a great deal about which brands AI systems genuinely trust versus merely acknowledge.
4Paws stands out immediately: all 9 of its mentions are positive, giving it a 100% positive rate. This is particularly notable because 4Paws has a lower total mention count (9) and lower visibility (21.4%) than the category leaders — meaning that when AI does surface 4Paws, it does so with clear endorsement language. Similarly, Pedigree achieves a 87.5% positive rate (7 out of 8 mentions positive), and Bosch reaches 70% positive (7 out of 10). These brands appear less often, but when they appear, they appear in a favorable context.
Royal Canin, despite leading in total mentions and share of voice, has a relatively lower positive rate: 13 positive out of 31 mentions, meaning 42% of its appearances are neutral. This makes sense in context — Royal Canin is such a dominant reference point in the category that AI systems frequently name it in comparisons, lists, and "you may also consider" contexts without specifically endorsing it. Josera, by contrast, achieves a positive rate of 55.6% (15 positive out of 27), and Hill's reaches 61.1% (11 out of 18). These are brands where AI systems appear to have absorbed strong endorsement signals — likely from veterinary sources, clinical study references, and positive owner community content.
In the dog food category, the content types that drive positive sentiment are identifiable: third-party veterinary endorsements, detailed nutritional analysis tied to specific health outcomes, positive owner community discussions on forums and review platforms, and transparent ingredient quality communication. Brands that have invested in clinical partnerships and independent testing tend to earn positive AI language rather than neutral acknowledgment. Purina's comparatively low positive rate (2 out of 6, or 33%) likely reflects that its AI coverage skews toward general mention in list-style responses, possibly because its content ecosystem is dominated by broad brand advertising rather than specific health outcome documentation.
Being named by AI is the floor — being positively endorsed is the ceiling that actually drives purchase intent; veterinary credibility and health-outcome content are the clearest routes to positive AI sentiment in dog food.
Looking at the full data picture, dog food sits in what we would classify as a mid-maturity AI search category. It is not early-stage — the AI systems tested clearly have well-formed views on the major players, and Royal Canin and Josera have established themselves as consistent reference points that will be difficult to displace through short-term tactics. But it is also not a fully consolidated category where two or three brands have locked up the majority of AI mentions and there is little room for new entrants to break through. A share-of-voice ceiling of 9.3% — held by the category leader — tells you that the space is genuinely competitive and fragmented.
The signal of mid-maturity is also visible in the diversity of providers being named. With 100 distinct brands surfaced across just 28 prompts, AI models are clearly not defaulting to a small shortlist. They are drawing on a rich training corpus that includes specialist pet nutrition publications, breed-specific owner communities, veterinary practice guides, e-commerce review platforms, and comparison sites. This means the ranking is genuinely permeable — brands that systematically improve their presence in those content channels can expect to see measurable movement in their AI visibility scores over a 6-to-12-month horizon.
Compare dog food to a fully mature AI category like cloud computing, where three providers capture more than 85% of all AI mentions and the gap between first and fifth place is enormous. Or compare it to an emerging category like AI-generated pet health diagnostics, where AI systems are still uncertain which brands to recommend and frequently hedge or avoid naming specific players. Dog food is neither of these. It has a recognizable pecking order — Royal Canin and Josera at the top, a middle tier of Hill's, Wolfsblut, Terra Canis and Happy Dog, and a long tail of specialist brands — but that order has not yet hardened into something immovable.
For brands wanting to build AI visibility in this category now, the window is genuinely open but will not stay that way indefinitely. The brands currently in the top tier are investing in exactly the content and credibility signals that AI systems reward. A brand that starts building comprehensive life-stage guides, engages with veterinary communities, accumulates third-party reviews with health-outcome specificity, and systematically publishes comparison and alternative content has a realistic path to breaking into the upper half of the leaderboard within 12 to 18 months. Waiting for the category to mature further before investing means competing against an increasingly entrenched set of leaders with deeper content libraries and stronger credibility signals.
Dog food AI visibility is mid-maturity: the top tier is established but not locked in — brands that invest now in veterinary-credible, use-case-specific content can still realistically earn a position in the AI-recommended set before the window closes.
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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.
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