Milk Makeup AI Visibility — makeup with skincare benefits in New York | AnswerMonk
Analyzed on March 31, 2026 · Engines: ChatGPT, Claude, Gemini, Perplexity · Methodology
This report analyzes AI search visibility for Milk Makeup (milkmakeup.com) in the makeup with skincare benefits in New York category — measuring how often the brand appears in AI-generated answers across all major LLMs.
AI Visibility Score
Milk Makeup has an AI share-of-voice score of 6% for the query category "makeup with skincare benefits in New York".
Share of voice measures how often a brand appears in AI-generated answers, weighted by rank position and engine market share (ChatGPT 35%, Gemini 35%, Claude 20%, Perplexity 10%). A score of 100% means the brand appeared first in every prompt on every engine. A score of 0% means it did not appear in any response.
Engine-by-Engine Breakdown
Appearance rate is the percentage of intent prompts for the makeup with skincare benefits in New York category in which Milk Makeup was named by each AI engine.
| AI Engine | Milk Makeup Appearance Rate | Composite Score Weight |
|---|---|---|
| Gemini | 0% | 35% |
| ChatGPT | 13% | 35% |
Competitor Rankings in AI Search
The following brands were most frequently cited by AI engines in response to "makeup with skincare benefits in New York" queries. Citation share represents weighted appearance rate across all engines for this category.
| Rank | Brand | AI Citation Share |
|---|---|---|
| 1 | ILIA | 69% |
| 2 | IT Cosmetics | 50% |
| 3 | Saie | 44% |
| 4 | Kosas | 44% |
| 5 | L’Oréal | 38% |
How this report was generated
AnswerMonk builds a network of 25–30 intent-based prompts for the makeup with skincare benefits in New York category — the natural-language queries real buyers send to ChatGPT, Claude, Gemini, and Perplexity. Each prompt is fired against all four engines. Responses are parsed, brand appearances recorded, and results aggregated into the share-of-voice score above using a market-share weighted formula.
Data reflects AI engine outputs as of March 31, 2026. AI outputs change as models are updated and as new content enters training and retrieval indexes. Scores should be interpreted as a point-in-time snapshot. Full methodology →
Sample prompts used in this analysis
The following are representative examples of the buyer queries run across AI engines for the makeup with skincare benefits in New York category. These reflect how real buyers phrase requests to ChatGPT, Gemini, Claude, and Perplexity when seeking recommendations.
- Find the best makeup with skincare benefits in New York
- What are the most trusted makeup with skincare benefits in New York?
- Which makeup with skincare benefits has the highest customer ratings in New York?
- Compare the top makeup with skincare benefits available
- Who are the most reputable makeup with skincare benefits near New York?
- What makeup with skincare benefits do industry experts recommend?
Brand appearance in responses to these prompts is what the share-of-voice score above measures. A brand that appears across all prompt types scores higher than one that only appears for a narrow query variant.
What this audit found: engine-level breakdown for Milk Makeup
Milk Makeup appeared in responses from Chatgpt but was absent from Gemini for the makeup with skincare benefits in New York category. This engine-split pattern typically indicates that the sources Gemini retrieve for this category — which differ from those used by Chatgpt — do not yet include Milk Makeup. Competitors found in the gap engines: ILIA, IT Cosmetics, Saie.
- Gemini: 0% appearance rate across tested prompts — brand not cited in any response
- Chatgpt: 13% appearance rate across tested prompts — partial coverage
The engine-level gap is the most actionable finding. Each AI engine retrieves from different source layers — ChatGPT prioritises web-browsed reviews and editorial content, Gemini pulls heavily from Google's indexed data, Claude retrieves from its training corpus plus browsed sources, and Perplexity surfaces real-time web results. A brand absent from one engine is typically under-represented in that engine's primary source type, not absent from the web entirely.
Improve AI search visibility for Milk Makeup
The primary levers for improving AI citation share in the "makeup with skincare benefits in New York" category are: citation source coverage (appearing on the platforms AI engines retrieve most frequently), entity consistency across the web, and content that directly answers the buyer prompts run in this analysis.