Which brands AI recommends across five purchase-intent clusters
Key Findings
Overall Findings
Among the top 20 brands, Perplexity contributes 34.6% of normalized mentions, followed by Claude at 24.6%, ChatGPT at 20.9%, and Gemini at 20.0%. The corrected results reveal both a stronger Perplexity influence and sharp divergence in brand selection.
| Brand | Claude | ChatGPT | Gemini | Perplexity | Total |
|---|---|---|---|---|---|
| RXBAR | 426 | 331 | 307 | 422 | 1,486 |
| Quest | 369 | 319 | 245 | 369 | 1,302 |
| KIND | 343 | 339 | 130 | 330 | 1,142 |
| ALOHA | 200 | 124 | 411 | 288 | 1,023 |
| ONE Bar | 207 | 180 | 80 | 392 | 859 |
| GoMacro | 227 | 239 | 194 | 178 | 838 |
| Barebells | 145 | 114 | 124 | 436 | 819 |
| Clif | 156 | 212 | 142 | 204 | 714 |
| Bulletproof | 155 | 106 | 78 | 197 | 536 |
| Built Bar | 144 | 95 | 156 | 140 | 535 |
| Larabar | 311 | 179 | 18 | 21 | 529 |
| No Cow | 146 | 90 | 39 | 163 | 438 |
| Perfect Bar | 81 | 38 | 87 | 224 | 430 |
| Transparent Labs | 0 | 2 | 120 | 260 | 382 |
| Pure Protein | 16 | 48 | 68 | 206 | 338 |
| Vital Proteins | 57 | 63 | 58 | 153 | 331 |
| David Bar | 0 | 0 | 153 | 168 | 321 |
| EPIC | 57 | 122 | 43 | 89 | 311 |
| Rise Bar | 0 | 19 | 92 | 190 | 301 |
| Orgain | 117 | 66 | 22 | 18 | 223 |
Platform Concentration Gaps
High total visibility can conceal complete absence from an individual platform. These gaps show where a brand's category authority is concentrated rather than distributed across the full AI recommendation environment.
| Brand | Mentions Elsewhere | Gap Platform | Gap Mentions |
|---|---|---|---|
| Transparent Labs | 382 | Claude | 0 |
| David Bar | 321 | Claude · ChatGPT | 0 |
| Rise Bar | 301 | Claude | 0 |
| Skout Organic | 175 | ChatGPT | 0 |
| Legion | 166 | ChatGPT | 0 |
| ESN | 134 | Claude · ChatGPT | 0 |
| TRUBAR | 111 | Claude · ChatGPT | 0 |
| Garden of Life | 77 | Gemini | 0 |
| NuGo | 67 | Claude | 0 |
| PRIMA | 56 | Claude | 0 |
| MOSH | 56 | Claude | 0 |
| Ancient Nutrition | 45 | Gemini · Perplexity | 0 |
| Further Food | 32 | ChatGPT · Gemini · Perplexity | 0 |
Cluster Analysis
Functional protein bar prompts do not return one consistent competitive set. Five purchase-intent clusters reveal distinct category leaders: Quest holds three first-place positions, RXBAR leads Clean Ingredient & Performance, and Bulletproof leads Health & Better-For-You.
Bulletproof leads with 346 mentions, followed by KIND at 293 and ALOHA at 280. Vital Proteins ranks fourth with 264. Collagen-specific prompts exert considerable influence over the cluster, rewarding brands with explicit product language, clear functional claims, and extensive third-party coverage.
Quest leads with 342 mentions, followed by Barebells at 294 and RXBAR at 289. ONE Bar ranks fourth through a deeply reinforced dessert-forward identity. The cluster rewards both flavor range and the accumulation of taste-focused reviews, comparisons, and product descriptions across the web.
RXBAR leads at 259 mentions. GoMacro and Clif tie at 181, followed closely by Transparent Labs at 172 and EPIC at 170. The cluster rewards brands whose ingredient composition, protein source, performance use case, and formulation philosophy are documented with unusual specificity.
Quest leads with 389 mentions, followed by RXBAR at 370. KIND ranks third at 286, with GoMacro at 281 and ALOHA at 276. Purchase-location questions favor the brands with the strongest combination of retail distribution, clear DTC access, and accumulated brand recognition.
Quest leads with 359 mentions, followed by RXBAR at 334 and KIND at 231. ONE Bar ranks fourth at 186, with Built Bar at 141. Yet none is known primarily for subscription innovation. AI systems continue to answer subscription questions with the brands they recognize most readily, not necessarily the brands with the most developed subscription experience.
What Drives AI Visibility in Functional & Premium Protein Bars
The brands that surface most consistently give AI systems more than a product name and nutrition panel. They provide a legible category identity, evidence across multiple buyer intents, and enough distributed authority to remain recognizable across platforms.
RXBAR, Bulletproof, ALOHA, GoMacro, and Vital Proteins each give AI systems a specific reason to classify them: a readable ingredient philosophy, collagen functionality, plant-based completeness, macrobiotic sourcing, or category expertise.
The strongest ingredient stories function as an organizing identity, not an isolated product-page claim. They appear across product descriptions, educational content, reviews, retailer listings, and third-party coverage.
Quest leads three clusters, while RXBAR leads one and places second in two more. KIND appears in the top five of Health, Flavor, Retail, and Subscription. These brands remain visible as the buyer moves from nutritional priorities to taste, purchase access, and repeat ordering.
Cross-cluster presence depends on connecting one stable brand identity to several legitimate use cases. The brand does not change its story for every query; it makes the existing story useful at more stages of the decision.
David Bar earns 153 Gemini mentions and 168 on Perplexity, with none on ChatGPT or Claude. Transparent Labs earns 260 on Perplexity and 120 on Gemini, but only two on ChatGPT and none on Claude. Larabar shows the reverse imbalance, with 311 Claude mentions but only 18 on Gemini and 21 on Perplexity.
Each platform assembles category authority from a different mix of model knowledge, retrieved sources, and recommendation logic. Broad visibility therefore requires evidence that exists beyond one site, retailer, publication type, or content format.
Quest leads three intent clusters and RXBAR leads a fourth. Category leadership belongs to the brands that remain legible as the buyer's question changes.
What Protein Bar Brands Can Do With This
The category leaders have made their core distinctions easy to understand and easy to repeat. Their ingredient philosophy, functional purpose, flavor identity, purchase access, and use cases appear consistently across the places AI systems use to form recommendations.
For brands outside the dominant group, the opportunity is not to imitate that volume. It is to identify the buyer intents where the product has a legitimate advantage and build enough specific, corroborated evidence for AI systems to recognize the fit.
The largest unresolved opening remains Subscription & Repeat Purchase. AI systems still substitute brand familiarity for subscription relevance, leaving room for a DTC-native brand to make the quality of its repeat-purchase experience unmistakable.
About This Research
This report is part of an ongoing series examining AI recommendation patterns across premium food, beverage, and hospitality categories. Ally Kiel Consulting publishes original audit data to help founders and operators understand how AI systems currently classify and recommend their brands — and what drives the gaps.
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