We ran 800+ buyer prompts across ChatGPT, Perplexity, and Claude for 175 ecommerce brands in UK, US, and AU. Here's who AI actually recommends — and who's invisible.
| # | Brand | Category | Region | Score | Bar |
|---|---|---|---|---|---|
| 1 | supplements | US | 91/100 | ||
| 2 | beauty | US | 91/100 | ||
| 3 | supplements | US | 88/100 | ||
| 4 | beauty | US | 88/100 | ||
| 5 | supplements | US | 86/100 | ||
| 6 | beauty | UK | 84/100 | ||
| 7 | beauty | US | 81/100 | ||
| 8 | supplements | US | 79/100 | ||
| 9 | fitness | UK | 78/100 | ||
| 10 | pet | US | 77/100 | ||
| 11 | beauty | US | 76/100 | ||
| 12 | food | US | 74/100 | ||
| 13 | supplements | US | 74/100 | ||
| 14 | apparel | UK | 72/100 | ||
| 15 | beauty | US | 72/100 | ||
| 16 | beauty | AU | 72/100 | ||
| 17 | pet | AU | 72/100 | ||
| 18 | beauty | UK | 72/100 | ||
| 19 | home | US | 71/100 | ||
| 20 | beauty | UK | 71/100 | ||
| 21 | beauty | UK | 69/100 | ||
| 22 | food | US | 69/100 | ||
| 23 | food | AU | 69/100 | ||
| 24 | beauty | UK | 69/100 | ||
| 25 | pet | US | 68/100 | ||
| 26 | home | US | 68/100 | ||
| 27 | supplements | US | 68/100 | ||
| 28 | food | UK | 67/100 | ||
| 29 | beauty | US | 67/100 | ||
| 30 | fashion | UK | 67/100 | ||
| 31 | beauty | UK | 67/100 | ||
| 32 | apparel | US | 66/100 | ||
| 33 | pet | US | 65/100 | ||
| 34 | supplements | US | 65/100 | ||
| 35 | fashion | UK | 65/100 | ||
| 36 | supplements | UK | 64/100 | ||
| 37 | food | AU | 64/100 | ||
| 38 | fashion | UK | 64/100 | ||
| 39 | home | US | 63/100 | ||
| 40 | fashion | UK | 63/100 | ||
| 41 | supplements | UK | 62/100 | ||
| 42 | beauty | UK | 62/100 | ||
| 43 | food | US | 62/100 | ||
| 44 | beauty | UK | 62/100 | ||
| 45 | food | UK | 61/100 | ||
| 46 | supplements | US | 61/100 | ||
| 47 | food | US | 61/100 | ||
| 48 | fashion | UK | 61/100 | ||
| 49 | fashion | UK | 61/100 | ||
| 50 | apparel | UK | 60/100 | ||
| 51 | pet | US | 60/100 | ||
| 52 | beauty | UK | 60/100 | ||
| 53 | food | UK | 58/100 | ||
| 54 | beauty | US | 58/100 | ||
| 55 | food | US | 58/100 | ||
| 56 | beauty | AU | 58/100 | ||
| 57 | apparel | AU | 58/100 | ||
| 58 | fashion | UK | 58/100 | ||
| 59 | beauty | UK | 58/100 | ||
| 60 | fashion | UK | 57/100 | ||
| 61 | fashion | UK | 57/100 | ||
| 62 | beauty | UK | 57/100 | ||
| 63 | beauty | UK | 56/100 | ||
| 64 | apparel | AU | 56/100 | ||
| 65 | apparel | UK | 55/100 | ||
| 66 | apparel | US | 55/100 | ||
| 67 | beauty | US | 55/100 | ||
| 68 | fashion | UK | 55/100 | ||
| 69 | fashion | UK | 55/100 | ||
| 70 | apparel | UK | 54/100 | ||
| 71 | pet | US | 54/100 | ||
| 72 | fashion | UK | 54/100 | ||
| 73 | beauty | UK | 53/100 | ||
| 74 | food | US | 53/100 | ||
| 75 | fashion | UK | 53/100 | ||
| 76 | fashion | UK | 53/100 | ||
| 77 | beauty | UK | 53/100 | ||
| 78 | wellness | UK | 52/100 | ||
| 79 | home | US | 52/100 | ||
| 80 | supplements | US | 52/100 | ||
| 81 | fashion | UK | 52/100 | ||
| 82 | fashion | UK | 52/100 | ||
| 83 | beauty | UK | 52/100 | ||
| 84 | pet | UK | 51/100 | ||
| 85 | pet | AU | 51/100 | ||
| 86 | fashion | UK | 51/100 | ||
| 87 | fashion | UK | 51/100 | ||
| 88 | fashion | UK | 51/100 | ||
| 89 | beauty | UK | 51/100 | ||
| 90 | food | UK | 50/100 | ||
| 91 | fashion | UK | 50/100 | ||
| 92 | wellness | UK | 49/100 | ||
| 93 | food | US | 49/100 | ||
| 94 | fashion | UK | 49/100 | ||
| 95 | fashion | UK | 49/100 | ||
| 96 | fashion | UK | 49/100 | ||
| 97 | beauty | UK | 49/100 | ||
| 98 | beauty | AU | 48/100 | ||
| 99 | fashion | UK | 48/100 | ||
| 100 | fashion | UK | 48/100 |
Enter your store URL to get your free AI Visibility Score — the same methodology used to rank all 175 brands in this report.
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Every brand was scored using a battery of 8 buyer-intent prompts per category — prompts like "best [category] brands in 2026", "recommend me a [category] brand that ships to [region]", and "what's the top [category] for [use-case]".
Prompts were run across three AI platforms: ChatGPT (GPT-4o), Perplexity, and Claude 3.5. Each mention = points. Ranking higher in a recommendation = more points.
Scores are normalised to a 0–100 composite. 60+ = strong presence. 40–59 = visible but patchy. Below 40 = significant gaps.
This report is designed to be citation-credible — the methodology is deterministic, repeatable, and platform-agnostic. You can replicate any result by running the same prompts yourself.