A 600-response audit showing how brand visibility changes by buyer situation, platform and category boundary.
50Buyer questions
4AI platforms
5Buyer situations
3×Runs per question
Functional beverages do not behave like one coherent market inside AI recommendations. Recess leads overall, but retail questions produce a different competitive field from calm, social and energy questions. The platforms also disagree sharply about which brands belong - and sometimes place brands inside the category that do not claim to be functional at all.
One leaderboard, four different recommendation systems
Recess leads on every platform, but most brands depend heavily on one or two systems. Counts below are response appearances, not raw name mentions.
Rank
Brand
Overall / 600
Claude / 150
ChatGPT / 150
Gemini / 150
Perplexity / 150
1
Recess
189
90
29
45
25
2
Kin Euphorics
148
68
23
35
22
3
OLIPOP
112
48
21
34
9
4
Liquid I.V.
96
50
17
23
6
5
Hiyo
91
25
7
38
21
6
Poppi
84
42
7
23
12
7
Celsius
78
35
8
22
13
7
Moment
78
35
12
15
16
9
Four Sigmatic
73
34
20
13
6
10
Nuun
59
40
14
4
1
11
De Soi
53
12
1
23
17
12
Ghia†
51
24
6
13
8
13
Odyssey Elixir
50
12
0
31
7
14
GT's Living Foods
49
22
10
17
0
15
Curious Elixirs
48
18
1
25
4
15
LMNT
48
34
7
5
2
† Category crossover. Ghia is retained because AI recommended it in these functional-beverage situations, not because Ghia describes itself as a functional beverage. Red figures indicate zero or one appearance on a platform. Rank 15 contains a tie.
The dominant brand
Recess appeared in 189 of 600 responses - 41 more than Kin Euphorics - and ranked first on all four platforms.
Visibility can disappear at the platform boundary
These are established brands in the overall ranking. Their weakness is concentrated on a particular platform rather than across the entire category.
Brand
Strongest platform
Responses
Weakest platform
Responses
Nuun
Claude
40
Perplexity
1
De Soi
Gemini
23
ChatGPT
1
Odyssey Elixir
Gemini
31
ChatGPT
0
GT's Living Foods
Claude
22
Perplexity
0
Curious Elixirs
Gemini
25
ChatGPT
1
Health-Ade
Claude
17
Perplexity
1
BRĒZ
Perplexity
24
Claude
0
Sunwink
Claude
26
Gemini
0
Aplós
Gemini
17
ChatGPT
0
Three Spirit
Perplexity
15
ChatGPT
1
REBBL
ChatGPT
19
Gemini
0
TRIP
Gemini
15
Claude
0
Clevr Blends
Claude
18
ChatGPT
1
Seedlip
Claude
18
Gemini
0
A platform gap is included here when a top-25 brand has at least 10 appearances on its strongest platform and no more than one on its weakest.
The category changes with the buyer situation
Each buyer situation contains 120 usable responses. The numbers beside each brand show its response appearances within that cluster.
Relaxation without alcohol, excessive stimulation or unwanted drowsiness.
Recess 48Kin Euphorics 45Moment 34De Soi 17TRIP 17
Recess and Kin hold the clearest cross-platform association with calm. Moment is a meaningful third option, while the rest of the field drops sharply.
Buyer situation 2
Energy & Focus
Sustained attention, lower-jitter energy and alternatives to another coffee.
Odyssey Elixir 14Bucked Up 13Four Sigmatic 13Celsius 11MUD/WTR 11Zevia 11
This is the least settled buyer situation. The leading brand appears in only 14 responses, and 54 responses return no reviewed packaged beverage brand at all.
Buyer situation 3
Taste & Social Occasion
Adult flavor, food pairing, entertaining and alcohol-free social rituals.
Recess 60Kin Euphorics 58Hiyo 41Ghia† 36OLIPOP 32
This is where functional drinks and mindful-drinking brands collide. Ghia ranks fourth despite positioning itself as a non-alcoholic apéritif rather than a functional beverage.
Buyer situation 4
Ingredients & Product Fit
Caffeine sensitivity, format, sugar, ingredient transparency and specific functional needs.
Large retail footprints dominate. OLIPOP, Liquid I.V., Celsius and Poppi all outperform brands that lead the calmer or more social occasions.
Five findings that matter beyond the ranking
01
Recess combines breadth with repeatability
Recess surfaced for 41 of 50 buyer questions and appeared in all 3 runs for 41 question-platform combinations. Its lead is not built only on scattered one-off recommendations. It holds across calm, social, ingredient and retail situations.
02
Broad relevance does not guarantee stable visibility
Hiyo surfaced for 33 buyer questions - second only to Recess - but placed fifth by response appearances. It appeared in all three runs for only 12 question-platform combinations and reached just 7 of 150 ChatGPT responses. Hiyo fits many situations, but the recommendation is not consistently reproduced.
03
Ghia has functional-beverage visibility without making a functional claim
Ghia appeared in 51 responses, ranked 12th overall and surfaced on 4 platforms. In Taste & Social Occasion, it ranked fourth with 36 of 120 response appearances. Ghia describes its product as a non-alcoholic apéritif. The result shows AI treating botanical complexity, low sugar and alcohol-free ritual as functional-category signals even when the brand does not claim that identity.
04
ChatGPT returns fewer packaged brands
Claude returned an average of 6.68 reviewed beverage brands per response, compared with 2.79 for ChatGPT. ChatGPT produced 56 responses with no reviewed packaged brand, while Claude produced 11. A low ChatGPT count can reflect both a brand-specific gap and a platform-level tendency to answer with fewer brands.
05
AI strengthens the health language consumers did not ask for
The Calm & Unwind questions deliberately avoided requests about anxiety, cortisol and proven health outcomes. The answers reintroduced that language anyway.
36Anxiety references
18Cortisol references
76Sleep references
51Sedation references
What is associated with stronger AI visibility
This audit measures recommendation patterns, not causality. Three recurring forms of clarity distinguish the brands that lead different buyer situations.
Signal 01
A specific role in the consumer's day
Recess and Kin are repeatedly connected to recognizable moments: unwinding, socializing without alcohol and choosing a calmer alternative. That gives AI more than an ingredient list to match.
Signal 02
Concrete product-level facts
Ingredient, format and caffeine questions favor brands whose products can be distinguished precisely. General wellness language is less useful than clear differences between SKUs and use cases.
Signal 03
Evidence that the consumer can act
Retail & Trial is dominated by brands with broad, legible availability. A recommendation is easier to make when the system can connect the product to retailers, formats, price and delivery.
What functional-beverage brands can do with this
Start with the buying situations the business actually needs to own. A single overall visibility score hides whether a brand is understood for calm, focus, social use, ingredient fit or retail trial. The right corrective work depends on which of those associations is missing.
Make product facts easy to verify. Separate each SKU's ingredients, format, flavor, caffeine, intended occasion and availability. Keep physiological claims controlled and specific, because AI systems may intensify wellness language beyond what the brand or consumer said.
Build evidence, not volume. The 2024 KDD paper GEO: Generative Engine Optimization found that citations, relevant quotations and statistics could improve source visibility in generative responses, while the effectiveness of tactics varied by domain. For beverage brands, that argues for precise product documentation and credible third-party support rather than mass-producing generic wellness content.
Aggarwal, P. et al. (2024). “GEO: Generative Engine Optimization.” Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 5-16. DOI: 10.1145/3637528.3671900.
Scope and limitations
This audit captures what four AI platforms recommended during the August 14, 2026 test window. Results can change as models, retrieval systems and public information change.
Response appearances measure inclusion, not recommendation quality, factual accuracy, sentiment, sales impact or causal influence on purchase. Buyer-question coverage is used only as a secondary breadth measure.
Category crossovers are intentionally visible in the analysis. Their inclusion documents how AI systems define the competitive field; it does not reclassify those brands' own market positioning.