When shoppers ask AI for the best serum, sunscreen or shampoo, is your brand in the answer?
CiteRank measures who AI engines recommend in beauty & personal care — across ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, Microsoft Copilot, xAI Grok and Meta AI, in both grounded and ungrounded modes — and fixes why it isn't you.
Vertical benches currently run 3 engines; full tracking covers all 8.
The beauty & personal care leaderboard, measured.
Top-5 brand mention rate, first-mention rate and Share of Voice — straight from the citerank-bench scoring tables, recomputed weekly.
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.
Illustrative sample — benchmark not yet completed.
Real beauty & personal care prompts, eight engines, one question: did you get cited?
Three failure modes specific to cpg.
Marketplace capture: Amazon/Nykaa/Flipkart absorb the citations your brand earned.
Ingredient-led prompts ('silicone-free serum under ₹800') filter you out before a shopper ever sees the listing.
Listicle moats — Nykaa, MyGlamm and aggregator guides own the 'best X' prompts.
How a beauty & personal care benchmark gets built.
URL, competitors, prompt seed list. 5 minutes.
250+ prompts × 8 engines × 2 modes, 10–30 replays each.
Schema, llms.txt, entity hygiene, content briefs — shipped.
Weekly re-runs, deltas with 95% confidence bands.
What a 90-day citation delta looks like.
Illustrative pattern based on our methodology — first customer results publish Q4 2026.
Cited in 1 of 25 high-intent beauty & personal care prompts across 8 engines (4%).
Cited in 9 of the same 25 prompts (36%) — schema, llms.txt and entity fixes shipped over 3 weekly re-runs.
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.
Coming in the Beauty & Personal Care visibility report.
Ingredient prompts: how AI engines pick serums — and how D2C brands get shortlisted
Notify me when publishedMarketplace capture: why Nykaa wins AI answers your brand paid to rank for
Notify me when publishedBeauty & 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 250+ highest-intent buyer prompts — 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.
Start with one snapshot. Scale into weekly monitoring.
250+ prompts × 8 engines × 2 modes. Brand-mention report and gap analysis.
Weekly re-runs, deltas with confidence bands, alerting on rank/citation changes.
Monitor + shipped fixes: schema, llms.txt, entity, content briefs and re-measurement.
