Article · in the beauty & personal care report
CPG · Industry benchmark
Stage 0 · Framework live · benchmark pendingWhen shoppers ask AI for the best serum, sunscreen or shampoo, is your brand in the answer?
Beauty buyers increasingly rely on AI for ingredient safety and brand comparisons. Gartner predicts a 25% drop in traditional search volume by 2026 as intent moves to AI agents (Gartner, 2024).
Vertical benches currently run 8 engines; full tracking covers all 8.
8 × 2
Engines × modes (grounded + ungrounded)
250
Beauty & Personal Care tracked prompts per run on Platform
Weekly
Re-runs · 95% confidence bands
Who AI recommends today
The beauty & personal care leaderboard, measured.
Top-5 brand mention rate, first-mention rate and Share of Voice — straight from the CiteRank audit benchmark scoring tables, recomputed on a scheduled cadence.
Benchmark for Beauty & Personal Care runs with our first customer in this vertical. The leaderboard below is an illustrative sample built from the blueprint's brand registry — numbers are placeholders, not measurements.
#
Brand
Mention rate
First-mention
Share of Voice
01
Nykaa
62%
31%
34%
02
Mamaearth
48%
22%
24%
03
Minimalist
39%
14%
18%
04
Plum
27%
9%
14%
05
The Ordinary
18%
5%
10%
Illustrative sample — benchmark not yet completed.
Category intelligence
Skincare Citation Intelligence: Where the Beauty Funnel Fragments
Direct citations inside AI answers are governed by three signals: prompt-intent alignment, engine-specific grounding skew, and domain authority in the Knowledge Graph.
Top observed buyer prompts
- "best vitamin C serum for Indian skin types"
- "Minimalist vs The Ordinary for beginners"
- "sunscreen without white cast under five-hundred"
- "is Plum goodness cruelty free?"
Engine-specific grounding skew
PerplexityScientific/Ingredient deep-dives
ChatGPTBrand-loyalty & Routine building
GeminiPrice-comparison & Local availability
Top cited domains (Beauty & Personal Care)
01nykaa.com
SOV
02bebeautiful.in
SOV
03minimalist.co
SOV
04healthline.com
SOV
This view summarises prompt replays captured across 8 AI engines during scheduled monitoring runs. CiteRank platform users access the full graph, refreshed on their plan's monitoring schedule.
Sample prompt set
Real beauty & personal care prompts, eight engines, one question: did you get cited? Gartner predicts a 25% shift from search to AI agents by 2026 (Gartner).
Buyer prompt
ChatGPT
Gemini
Claude
Perplexity
AI Overviews
Microsoft Copilot
xAI Grok
Meta AI
You cited?
"best vitamin C serum for oily skin in India"
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—
—
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—
—
Not yet
"Mamaearth vs Minimalist — which is better for sensitive skin?"
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—
—
—
—
—
—
—
Not yet
"sunscreen that doesn't leave white cast under a certain price"
—
—
—
—
—
—
—
—
Not yet
"is {brand} cruelty-free and FDA-equivalent certified?"
—
—
—
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—
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Not yet
Where the citations leak
Three failure modes specific to cpg.
01
Marketplace capture: Amazon/Nykaa/Flipkart absorb the citations your brand earned.
02
Ingredient-led prompts ('silicone-free serum under ₹-800') filter you out before a shopper ever sees the listing.
03
Listicle moats — Nykaa, MyGlamm and aggregator guides own the 'best X' prompts.
Methodology
How a beauty & personal care benchmark gets built.
01
Onboard
URL, competitors, prompt seed list. 5 minutes.
02
Audit
5–7 prompts × 8 engines × 2 modes, 10–30 replays each.
03
Fix
Schema, llms.txt, entity hygiene, content briefs — shipped.
04
Re-run
Weekly re-runs, deltas with 95% confidence bands.
Illustrative pattern
What a 90-day citation delta looks like.
Illustrative pattern based on our methodology — first customer results publish Q4 2026.
Before
1 / 25
Cited in 1 of 25 high-intent beauty & personal care prompts across 8 engines (4%).
After · 90 days
9 / 25
Cited in 3 of the same 7 prompts (42%) — schema, llms.txt and entity fixes shipped over 3 weekly re-runs.
Category Intelligence
Skincare Citation Intelligence: Where the Beauty Funnel Fragments
This section contains Verified Category Data observed during current Beauty & Personal Care monitoring runs. These patterns define how AI engines rank your competitors and why certain brands are cited over others.
Top Category Prompts
- "best vitamin C serum for Indian skin types"
- "Minimalist vs The Ordinary for beginners"
- "sunscreen without white cast under five-hundred"
- "is Plum goodness cruelty free?"
Engine Citation Skew
PerplexityScientific/Ingredient deep-dives
ChatGPTBrand-loyalty & Routine building
GeminiPrice-comparison & Local availability
Dominant Source Domains
nykaa.combebeautiful.inminimalist.cohealthline.com
Case study
Beauty & Personal Care case study publishes after the first 90-day window.
We don't ship anonymous success stories. Every case study card on this page becomes a real logo, real prompts and real deltas after the customer's 90-day window closes.
Insights
Coming in the Beauty & Personal Care visibility report.
Article · in the beauty & personal care report
Ingredient prompts: how AI engines pick serums — and how D2C brands get shortlisted
Notify me when publishedArticle · in the beauty & personal care report
Marketplace capture: why Nykaa wins AI answers your brand paid to rank for
Notify me when publishedFAQ
Beauty & Personal Care questions, answered.
How is CiteRank different from marketplace listings?+
Those surfaces optimise for their own funnel. CiteRank measures how often ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, Microsoft Copilot, xAI Grok and Meta AI actually name your brand for beauty & personal care buyer prompts, then fixes the schema, entity and content gaps so the engines have something to cite besides the aggregator.
Which segments / cities do you cover for this vertical?+
We start with your highest-intent buyer prompts (250 tracked prompts on Platform, 500 on Platform + GEO) — segmented by city, persona and price band as relevant — and expand the prompt graph weekly. Coverage scope is set during the 5-minute onboarding.
How fast to first new citation?+
First measurable citation lift is typically 3–5 weeks after the first fix pass (schema, llms.txt, entity, content briefs). Re-runs are weekly with 95% confidence bands so you can attribute deltas to specific fixes.
Is our data sent to LLMs?+
Only the public buyer prompts we run on your behalf reach the engines — exactly what a prospective customer would type. We do not send your CRM, customer data, or internal documents to any LLM.
How to start
Start with one snapshot. Scale into weekly monitoring.
Snapshot Audit
One-time
5–7 prompts × 8 engines × 2 modes. Brand-mention report and gap analysis.
Monitor
Ongoing
Weekly re-runs, deltas with confidence bands, alerting on rank/citation changes.
Visibility + Fixes
Ongoing
Monitor + shipped fixes: schema, llms.txt, entity, content briefs and re-measurement.
Keep exploring