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Retail · Industry benchmark
Stage 0 · Framework live · benchmark pending

High-intent luxury buyers ask AI before they ask a boutique. Are you the recommendation?

CiteRank measures who AI engines recommend in luxury — 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 8 engines; full tracking covers all 8.

8 × 2
Engines × modes (grounded + ungrounded)
250
Luxury tracked prompts per run on Platform
Weekly
Re-runs · 95% confidence bands
Who AI recommends today

The luxury 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 Luxury 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
Ethos Watches
62%
31%
34%
02
Tata CLiQ Luxury
48%
22%
24%
03
Rolex
39%
14%
18%
04
Omega
27%
9%
14%
05
Titan Edge/Nebula
18%
5%
10%

Illustrative sample — benchmark not yet completed.

Sample prompt set

Real luxury 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 luxury watch under ₹5 lakh"
Not yet
"where to buy authentic designer handbags in India"
Not yet
"{brand} authorized retailer in Mumbai"
Not yet
"gifting under ₹50,000 for a 40th birthday"
Not yet
Where the citations leak

Three failure modes specific to retail.

01

Marketplace capture: AI cites Amazon/Flipkart/Myntra instead of your D2C site.

02

'Is it safe to buy from {brand}.com?' — AI answers from forum scraps, not your trust signals.

03

Category-page SEO collapses inside AI Overviews; PLP traffic moves to the answer panel.

Methodology

How a luxury benchmark gets built.

01
Onboard

URL, competitors, prompt seed list. 5 minutes.

02
Audit

25 prompts × 8 engines × 2 modes, 10–20 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 luxury prompts across 8 engines (4%).

After · 90 days
9 / 25

Cited in 9 of the same 25 prompts (36%) — schema, llms.txt and entity fixes shipped over 3 weekly re-runs.

Category Intelligence

Luxury Citation Intelligence

This section contains Verified Category Data observed during current Luxury monitoring runs. These patterns define how AI engines rank your competitors and why certain brands are cited over others.

Top Category Prompts

  • "best luxury watch under ₹5 lakh"
  • "where to buy authentic designer handbags in India"
  • "{brand} authorized retailer in Mumbai"
  • "gifting under ₹50,000 for a 40th birthday"

Engine Citation Skew

ChatGPTIncumbent brand bias
PerplexitySource-heavy grounding
AI OverviewsSnippet-friendly listicles

Dominant Source Domains

g2.comreddit.comtrustpilot.comforbes.com
Awaiting full benchmark for live domain weights.
Case study

Luxury 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 Luxury visibility report.

Article · in the luxury report

Who AI trusts with a ₹5-lakh watch purchase — authorized vs grey market in LLM answers

Notify me when published
Article · in the luxury report

Luxury entity hygiene: stopping AI from conflating you with resellers

Notify me when published
FAQ

Luxury 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 luxury 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

25 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

See the depth model and adjacent verticals.

Run Free Audit