Skip to main content

Solutions

Service Businesses
For physiotherapists, accountants, lawyers, trades, allied health.
Product Brands
For ecommerce and DTC brands selling on Shopify.

Research

Service Recommendation IndexProduct Recommendation IndexThe ResearchInsights
How It WorksPricingAbout
Book a Call
Q

AI Recommendation Footprint

QV

Is this your brand? Claim or correct it.

Average rank #2.7 across 3 sub-categories in 1 country.

QV appears in 3 AI recommendation categories. Its strongest is Best Moisturiser for Dry Skin at #2. Its weakest is Best Moisturiser for Oily and Acne-Prone Skin at #4. That spread is QV's Recommendation Gap.

Based on real buying questions across ChatGPT, Claude, Gemini and Perplexity. Latest run: June 2026.

Sub-categories ranked
3
Total AI mentions
25
Countries tracked
1
Highest rank
#2
Lowest rank
#4

What this means for QV

QV ranks in the top 3 for 2 of 3 sub-categories where AI engines recommend brands. There is 1 sub-category where QV appears but ranks below top 3. This is the recommendation gap.

Why AI recommends QV in some categories and not others

AI systems do not recommend brands on popularity alone. They favour brands with clear, structured and citable information for the specific questions buyers ask. QV performs strongly where those signals are present, and weaker where they are limited. That difference is QV's Recommendation Gap.

AI See You closes that gap by setting up an AI Knowledge Centre: a deep, defensible data asset structured so AI can read, trust and cite it. It is real, sourced, expertly structured information built for the way AI reads, and it is the opposite of generic AI content or short-term hacks.

See full ranking table

Full QV ranking footprint by country.

Australia

Best rank #2
Rank Sub-category Share Mentions
#2 Best Moisturiser for Dry Skin
Premium Skincare
45.0% 9
#2 Best Cleanser
Premium Skincare
40.0% 8
#4 Best Moisturiser for Oily and Acne-Prone Skin
Premium Skincare
40.0% 8

Where QV could grow

Sub-categories where QV appears in AI recommendations but ranks below the top 3. Each is an opportunity to expand share.

  1. #4

    Best Moisturiser for Oily and Acne-Prone Skin

    Premium Skincare · Australia

    40.0% shareof 32 brands

About QV

QV Skincare is a trusted skincare brand synonymous with quality and innovation, dedicated to cleansing and moisturising dry, sensitive skin. The range is trusted by generations of customers and healthcare professionals to support skin in naturally repairing itself, without soap, fragrance or common irritants.

Founded by: Gerald Oppenheim, Rae Oppenheim

Visit official website

Recognition

  • ★ QV Care Awards
“At QV we understand that beautiful means different things to different people. Our values, however, mean everything to us and we promise to stand by them at all times. We are genuine and honest; never fake, pretentious or misleading. We have dedicated more than 40 years of experience to creating formulations that work in harmony with your skin's natural function.”

Where QV is sold

QV sells in 14 markets: Australia, Saudi Arabia, Singapore, United Arab Emirates, Malaysia, Kuwait, Hong Kong, Qatar, Oman, Bahrain, United Kingdom, Jordan, Indonesia, China.

Future-proof QV for agentic commerce

When buyers ask AI who to trust, the brands that get chosen are the ones AI can understand, trust and cite. QV already performs in some categories. The opportunity is to be the brand AI chooses across every category where buyers are deciding.

For brand teams

When buyers ask AI who to trust, QV should already be the answer

AI See You sets up an AI Knowledge Centre for QV: the deep, defensible data asset AI reads when it answers buying questions. It is how brands get chosen as AI becomes the way buyers decide.

We typically reply within one business day.

Proven on a live ecommerce brand

An Australian ecommerce DTC men's skincare brand increased its Recommendation Score from 18 to 34 in three weeks.

Track QV's AI Recommendation Footprint

Get notified when QV enters new recommendation categories, when its recommendation share changes and when new research is released.