$200M revenue. 30,000 retail locations. Zero ChatGPT visibility.
Olipop achieves 31% AI visibility — highest in Food & Beverage — despite having the worst product data in the audit set. Category authority compensates for data gaps, but ChatGPT's 0% shows the limits.
Executive Summary
- Brand: Category-leading prebiotic soda, $200M+ revenue, available in 30,000+ US retail locations including Walmart, Target, Costco
- AI visibility score: 47/150 tests surfaced the brand (31%)
- The pattern: Highest Food & Beverage score, driven by category authority on Gemini (58%) and marketplace data on Copilot (36%) — but ChatGPT returns 0%
- Key competitor gap: Poppi is the consistent co-recommendation; kombucha and kefir brands compete on broader gut health queries
- Root cause: Product type empty, no Product schema in JSON-LD, descriptions are 33-38 words of flavour copy with zero health information
- Fix complexity: Low — the brand authority is already doing the work; basic data infrastructure would unlock ChatGPT
The brand
Olipop is a direct-to-consumer prebiotic soda brand that has become the category leader in the "healthy soda" space. They make low-sugar, high-fibre sodas using plant-based prebiotics, botanicals, and natural flavours. The core proposition: soda that tastes like soda but feeds your gut instead of wrecking it.
The brand leans into nostalgic flavour profiles — Vintage Cola, Root Beer, Cherry Vanilla — positioning not as "health drink" but "soda, reimagined." Each can contains ~9g of dietary fibre from chicory root and Jerusalem artichoke, with only 2-5g sugar and ~35-45 calories.
Olipop is one of the breakout success stories in functional beverages, widely reported to have crossed $200M+ in annual revenue. Available at Walmart, Target, Kroger, Costco, and Whole Foods — 30,000+ retail locations. Celebrity investors include Priyanka Chopra and Camila Cabello.
The test
We ran 150 automated browser-based tests using Playwright — 10 repeats × 5 queries × 3 platforms (ChatGPT, Gemini, Copilot). Queries targeted Olipop's core positioning: healthy soda alternative, prebiotic drink, low-sugar soda, healthier drink that tastes like soda, and gut health drink brands.
The results
| Query | ChatGPT | Copilot | Gemini | Total | Rate |
|---|---|---|---|---|---|
| Healthy soda alternative | 0/10 | 4/10 | 6/10 | 10/30 | 33% |
| Prebiotic drink recommendation | 0/10 | 6/10 | 6/10 | 12/30 | 40% |
| Best low-sugar soda | 0/10 | 5/10 | 6/10 | 11/30 | 37% |
| Healthier drink like soda | 0/10 | 2/10 | 6/10 | 8/30 | 27% |
| Best gut health drink brands | 0/10 | 1/10 | 5/10 | 6/30 | 20% |
| Total | 0/50 (0%) | 18/50 (36%) | 29/50 (58%) | 47/150 | 31% |
Gemini treats Olipop as the undisputed category leader. It describes the brand as "the gold standard for taste and variety" and cites specific attributes — 9g dietary fibre per can, chicory root, Jerusalem artichoke — that do not appear anywhere in the Shopify product data. Gemini is synthesising this entirely from editorial content and brand coverage.
Copilot delivers 36% through marketplace data. When Copilot surfaces Olipop, it pulls product listings with actual ratings (4.2/5 from 9.9K reviews) and pricing from retail sources. Olipop's distribution creates a secondary data layer that Copilot accesses even when DTC data is thin.
ChatGPT: 0/50 — the biggest surprise of the audit. A brand with $200M+ revenue, 30,000+ retail locations, celebrity investors, and genuine category leadership. ChatGPT does not recommend it once. This is the strongest evidence yet that ChatGPT's product recommendation retrieval does not draw from the same sources as Gemini, and that brand scale alone is not sufficient.
Poppi is the consistent co-recommendation. On every platform where Olipop surfaces, Poppi appears alongside it. Gemini differentiates clearly: Olipop as the "fibre-forward, classic flavour" option and Poppi as "lighter and crisper" with apple cider vinegar.
Why this is happening
The product data is the thinnest of any brand at this scale. Product type empty on all products. No Product schema in JSON-LD. No aggregateRating in structured data. Tags are UPC codes and subscription flags. Descriptions are 33-38 words of flavour poetry with zero mention of prebiotic ingredients, fibre content, sugar content, or health benefits.
The prebiotic ingredients that define the category are absent from product data. Chicory root, Jerusalem artichoke, marshmallow root, kudzu root, cassava root, nopal cactus — none appear in Shopify descriptions, tags, or structured data. Gemini knows about them from editorial sources. The product pages do not mention them.
The brand's retail distribution is doing the heavy lifting for Copilot. Olipop's presence in 30,000+ locations creates marketplace listings, retailer product pages, and shopping data that Copilot accesses. The DTC Shopify store is not the source — the retail ecosystem is.
Trustpilot is a liability. 2.6/5 with 46 reviews. Not representative of customer sentiment for a brand at this scale. Likely unclaimed.
What Olipop could do, in priority order
Phase 1 (quick wins):
- Fill the product_type field: "Prebiotic Soda" or "Sparkling Tonic"
- Add discovery tags: product_category (prebiotic-soda), dietary (low-sugar, high-fibre, plant-based, vegan), health_benefit (prebiotic, gut-health), flavour_profile (cola, root-beer, cherry-vanilla), key_ingredient (chicory-root, jerusalem-artichoke)
- Claim and manage the Trustpilot profile
Phase 2 (medium effort):
- Rewrite product descriptions with functional and health information — keep the sensory copy, add fibre content, sugar content, calorie count, prebiotic ingredients, comparison to traditional soda
- Implement Product schema in JSON-LD with aggregateRating, Offers, brand property, and nutritional information
- Add comparison context: "35 calories and 2g sugar vs. 140 calories and 39g sugar in a regular cola"
Phase 3 (longer term):
- Create structured FAQ/comparison content: "Olipop vs Poppi", "Olipop vs regular soda"
- Investigate the ChatGPT blind spot — at this scale, 0% suggests a specific retrieval issue rather than awareness
- Leverage retail data advantage — ensure Amazon, Walmart, Target, and Kroger listings have rich product data
Close
Olipop is the paradox of the audit series. The brand with the worst DTC product data has the best category-level AI visibility in Food & Beverage. Category authority can compensate for data gaps — but only on some platforms. Gemini calls Olipop "the gold standard" using information it found everywhere except the product pages. Copilot pulls ratings from retail channels the brand does not control. And ChatGPT — the world's most-used AI assistant — has never recommended the category leader to anyone. The product pages do not mention gut health. The entire brand is built on gut health. That gap is the audit in one sentence.