Who's stealing the cooling-vest answer on Amazon, Google and AI.
Same buyer, three different surfaces. ChillSwift is invisible on all three right now. Here's who's filling the gap.
The 30-second read
- Amazon side: Your 3 confirmed competitor ASINs are generic FBA white-label listings (YLNEWWAYS, Callicebus, HENNCHEE). Same playing field as you. You're competing on listing optimisation + reviews + BSR, not brand prestige.
- Google side: The top 10 for "cooling vest" is owned by Ergodyne, EZCooldown, Polar Products, Rehabmart and Amazon. None of these are FBA competitors. They're full-stack brands with content.
- AI side: The cross-engine winners are mycoolingstore.com (6 citations), ezcooldown.com (5), and Ergodyne / Glaciertek / Polar Products / Texas Cool Vest at 4 each. They get cited because they have product taxonomy + 364+ ref domains + 5-year brand history. You can outrank them by being denser and more specific on a narrower lane.
Rob-confirmed Amazon competitor ASINs
| ASIN | Brand | Category | Differentiator in title |
|---|---|---|---|
B09T9PPV4B | YLNEWWAYS | Tools & Home Improvement | 24 ice packs |
B0F42DLD7D | Callicebus | Tools & Home Improvement | 30 ice packs, 6 pockets |
B0CZ8VQ6TB | HENNCHEE | Tools & Home Improvement | 12 ice packs, blue |
Three observations: (1) all three lead title with ice-pack COUNT as the primary differentiator. Your title strategy should match. (2) All three sit in "Tools & Home Improvement", not Sports or Clothing. This category matches industrial-worker buyer intent. Worth checking whether B07BNCJ1SJ is in the same category. (3) Generic brand naming pattern means you're not up against a real brand on Amazon. You're up against listing quality.
Google SERP top 10 for "cooling vest" (US)
| Rank | Domain | Type |
|---|---|---|
| 2 | ergodyne.com | Brand · workwear specialist |
| 3 | ezcooldown.com | Brand · industrial/sports vests (Netherlands) |
| 4 | amazon.com | Aggregator |
| 5 | polarproducts.com | Brand · medical/MS cooling |
| 7 | reddit.com | Discussion |
| 8 | rehabmart.com | Buying guide |
Source: DataForSEO live SERP, US location, depth 10. Cost to pull: $0.008. We can pull this monthly to track movement.
AI engine citation winners
| Domain | Citations | Why they win |
|---|---|---|
| amazon.com | 8 | Aggregator, gets cited as a category surface, not a brand |
| mycoolingstore.com | 6 | Multi-brand US Shopify retailer, 364 ref domains, no buying guides yet (lane open) |
| ezcooldown.com | 5 | Direct competitor. Dominates motorcycle + PCM queries |
| ergodyne.com | 4 | Workwear brand with deep product taxonomy |
| glaciertek.com | 4 | US-made vests since 1997, deep brand history |
| polarproducts.com | 4 | Medical / MS cooling specialist |
| texascoolvest.com | 4 | NASA-tech PCM specialist |
| rover.com / treelinereview.com / doggearreview.com | 2 each | Dog-niche authority sites |
What this matrix tells you to do
On Amazon
Lead your title with pack count and capacity. Check the category. Optimise the gallery, A+ content, FAQ. Brand stuff matters less than listing density and reviews. The brand "NHI" mismatch on B07BNCJ1SJ is your highest-leverage Amazon fix.
On Google
You're not competing against Ergodyne or Polar Products for "cooling vest" anytime soon. Go after the long-tail intent queries: "cooling vest for MS heat intolerance", "motorcycle cooling vest highway speed", "how long does a cooling vest last". The content roadmap maps these to specific pages.
On AI
The winners get cited because they have structured comparison content (tables), specific numbers (cooling duration, °F drop), and schema markup. Your 3 "AI evidence pages" in the content roadmap are designed to do exactly this. Build those first.
The lane that's open
mycoolingstore.com gets 6 AI citations on the back of zero buying guides. Their pages are product pages with no content depth. A 1500-word "cooling vest comparison 2026" page with real specs, a table, and FAQPage schema would outrank them in months. See the AI evidence pages section of the content roadmap.