Luxury Gift AI Visibility: Hermès in 44.4% of 288 Answers

Hermès led 5W's November 2026 AI visibility test of luxury gift prompts, appearing in 44.4 percent of 288 answers, ahead of Tiffany & Co. at 41 percent and Cartier at 39.6 percent. The test ran 24 prompts three times each across four AI configurations on November 8, 2026. AI visibility, meaning how often a brand is named in AI answers, varied sharply by system.

By Ronn Torossian, Founder and Chairman, 5W. Updated November 8, 2026. Data collected November 8, 2026.

Summary

• Hermès had the highest AI visibility at 44.4 percent (128 of 288 answers), followed by Tiffany & Co. (41.0 percent), Cartier (39.6 percent), CHANEL (38.2 percent) and Louis Vuitton (35.8 percent).
• Gucci (24.3 percent), Montblanc (21.5 percent), Rolex (18.8 percent), Burberry (14.9 percent) and Bottega Veneta (14.6 percent) completed the top ten.
• The top five formed a distinct group. The gap between fifth-place Louis Vuitton and sixth-place Gucci was 11.5 percentage points.
• Hermès appeared in 57 of 72 OpenAI configuration answers and 51 of 72 Perplexity answers, but in only 19 Gemini answers and one Claude answer.
• Montblanc depended on one system: Perplexity produced 46 of its 62 appearances, about 74 percent.
• Jo Malone London, Coach and Smythson led specific prompt clusters (price and value, and corporate and personalized gifting).
• Retrieval evidence was recorded for 282 of 288 answers. Global Brands Magazine appeared in 149 of them, Who What Wear in 77 and Forbes in 62.
• The results measure brand mentions on one date for one prompt set. They do not measure sales, consumer preference or product quality.

What is in this report?

1. What is AI visibility, and why does it matter for luxury gifting?
2. What did the luxury gift AI visibility test find?
3. Which luxury brands had the most AI visibility?
4. How different were the four AI systems?
5. How did the questions shape the winners?
6. Which other brands surfaced beyond the top ten?
7. Which publishers did the AI answers draw on?
8. What should luxury marketers do with these results?
9. How was the study run, and what are its limits?
10. Frequently asked questions

What is AI visibility, and why does it matter for luxury gifting?

AI visibility is how often, and in what context, a brand is named when people ask AI systems for answers. For luxury gifting, that means whether a house such as Hermès, Tiffany & Co., Cartier, CHANEL or Louis Vuitton appears when a shopper asks an AI system what to buy.

Holiday gift searches are a natural test. Shoppers ask broad questions, such as "best luxury gift brands," and the answers often name a short list of companies. A brand that is absent from that list is absent from the consideration set the AI system presents.

This study measures AI visibility as an appearance rate: the share of returned answers that name a brand. It is a measure of exposure in a defined test, not of sales or consumer preference. Related 5W research on luxury includes how AI engines describe Hermès, which quiet luxury brands AI engines name most, the Luxury Sources Index and the Luxury Island AI Visibility Index.

What did the luxury gift AI visibility test find?

The clearest finding is the scale of variation across systems, not the identity of the leader. Across all 288 answers, Hermès held the highest observed count. Broken out by configuration, the same brand appeared in 79.2 percent of OpenAI answers, 70.8 percent of Perplexity answers, 26.4 percent of Gemini answers and 1.4 percent of Claude answers.

For communications teams, that spread makes the choice of measurement system consequential. A strong AI visibility result in one configuration does not establish visibility across the entire AI search market.

The findings describe a defined set of questions and system settings on one date. They measure brand mentions, not sales, consumer preference or the quality of the products recommended. A brand could appear in an explanatory answer without receiving a buying recommendation.

Which luxury brands had the most AI visibility?

The analysis reported results for its ten highest listed brand entries. Each percentage uses all 288 returned answers as its denominator. Multiple brands can appear in the same answer, so the percentages do not add to 100.

CHANEL and Louis Vuitton rounded out the five most frequently named brands. The observed gap between Louis Vuitton and Gucci was 11.5 percentage points, so the top five formed a distinct group in this sample.

Hermès holding the highest observed count is a descriptive result for this test. The confidence intervals in the underlying draft do not, by themselves, establish which differences between brands are statistically significant.

How different were the four AI systems?

The four configurations returned markedly different mention rates for the same questions. Each configuration returned 72 answers (24 prompts, three runs each).

Montblanc shows how a combined score can hide dependence

Montblanc's 21.5 percent combined rate masks a heavy reliance on one system. Perplexity accounted for 46 of its 62 recorded appearances, approximately 74 percent. The OpenAI configuration named it 11 times.

Why the Claude configuration rarely named brands

The Claude configuration rarely named these leading brands. That observation warrants checking the underlying answers and execution settings before attributing the difference to Claude's general behavior. System instructions, retrieval settings and response formats can affect whether an answer names companies or discusses broader product categories.

These results should therefore be described as comparisons of the tested configurations. They do not establish what every consumer would see in the corresponding websites or apps.

How did the questions shape the winners?

The prompt set included broad searches such as "best luxury gift brands," practical questions about personalized gifts, and searches for gifts under $500. It also included questions explicitly asking for heritage houses, recognizable starter brands and major luxury conglomerates.

That wording matters. A question requesting iconic or heritage brands creates a different opportunity from one requesting emerging independent makers.

• Price and value prompts: Jo Malone London recorded the highest appearance rate at 45.8 percent, followed by Coach at 41.7 percent.
• Specific needs prompts (corporate and personalized gifting): Smythson appeared in 41.7 percent of answers.

These are small subsets. Each of those clusters contains two prompts, producing 24 answers across systems and repetitions. They are useful indications of where brands surfaced in this test, with limited grounds for broader claims about consumer demand.

Ownership questions and department-store searches also serve different purposes from gift recommendations. Future editions will report those separately so that factual company mentions and retail-channel answers do not blur the shopping results.

Which other brands surfaced beyond the top ten?

Outside the ten-brand ranking, several names stood out in specific prompt clusters. Jo Malone London and Coach led the price-and-value prompts, and Smythson led corporate and personalized gifting. These are accessible-luxury and stationery-led names, and they surfaced because the question asked for them, not because they rival the heritage houses overall.

Two scoring issues also touch the wider brand field. Bulgari and Bvlgari appear as separate entries, as do Dior and Christian Dior, and forty additional detected names await classification. Once those aliases are merged, Bulgari and Dior may rank higher than their separate entries suggest. The ranking beyond the top ten stays provisional until that review is complete.

Which publishers did the AI answers draw on?

Retrieval evidence was recorded for 282 of the 288 answers. Within that group, 5W's records attributed Global Brands Magazine to 149 answers, Who What Wear to 77 and Forbes to 62.

That concentration identifies a short list of domains worth examining in the underlying source records. However, a source retrieved by a system is not necessarily a citation displayed to a user. Neither event, on its own, proves that a particular article caused the system to mention a brand.

The distinction affects how these figures should be used. They justify an audit of the exact pages, citation placements and associated recommendations. They do not demonstrate that securing coverage in one publication will deliver a particular increase in AI visibility.

How much did brand websites matter?

Attribution to individual brand websites was relatively limited. Tiffany & Co. and Louis Vuitton each had 23 answers attributed to their owned domains, equivalent to 8.2 percent of the 282 answers with retrieval evidence.

Those figures measure recorded attribution under the study's rules. A missing owned-domain citation does not establish that a brand website had no influence on an answer or that the website needs a particular technical fix.

What should luxury marketers do with these results?

The immediate opportunity is to make AI visibility measurement more specific. Brands should examine the individual questions where they appear, the systems returning those mentions and the context surrounding each appearance. A favorable recommendation, a passing reference and a company-ownership explanation have different commercial meanings.

1. 1. Measure by system.

   Report each AI configuration separately before reporting a combined score.

2. 2. Read the context of each mention.

   Separate recommendations from passing references and ownership explanations.

3. 3. Audit the exact cited page.

   Review the page and its relationship to the brand mention before treating a publisher as a priority media target. Distinguish editorial coverage from commercial content, retailer pages and general reference material.

4. 4. Repeat the measurement.

   Keeping prompts and configurations stable makes later comparisons more informative. Documenting configuration changes helps explain differences that might otherwise be mistaken for gains or losses in brand recognition.

This test provides a starting benchmark. It does not yet measure change over time or demonstrate which communications activities improve results.

5W is a PR, creative and AI Visibility agency that helps brands get into the chatbox, the answers AI systems give shoppers. For luxury and gifting brands, that work starts with a benchmark like this one, then connects earned media and content to the questions shoppers actually ask.

How was the study run, and what are its limits?

Methodology details

• Analysis: 5W.
• Prompts: 24, allocated across predefined topics.
• Configurations: four, identified in the research record as Perplexity, OpenAI, Google Gemini and Anthropic Claude.
• Runs: three per prompt per configuration.
• Answers: 288 attempted and 288 returned (72 per configuration).
• Retrieval evidence: recorded for 282 answers.
• Measurement date: November 8, 2026.
• Appearance rate (AI visibility measure): the percentage of returned answers naming a brand.
• Combined score: gives each tested configuration equal weight. It is not weighted by consumer usage or search volume.

Known limitations

• The prompt distribution has not been established as representative of real-world luxury gift searches.
• Repeated answers to the same questions should not be treated as independent observations of consumer demand.
• Differences between configurations may reflect their models, instructions, search tools and output formats.
• Bulgari and Bvlgari appear as separate entries, as do Dior and Christian Dior. Forty additional detected names await classification. Brands outside the top ten, and any brand-specific dependency claims beyond those reported here, remain provisional until alias merging and classification are complete.
• Retrieved sources are not the same as citations displayed to users.

The findings support a dated snapshot of recorded brand exposure. They do not establish market-wide rankings, buying behavior or the causal effect of media coverage.

Frequently asked questions

What is AI visibility?

AI visibility is how often, and in what context, a brand is named in AI-generated answers. In this study it is measured as the percentage of 288 answers that name each brand.

Which luxury brand had the most AI visibility for gifts?

Hermès, in 128 of 288 answers (44.4 percent), followed by Tiffany & Co. at 41.0 percent, Cartier at 39.6 percent, CHANEL at 38.2 percent and Louis Vuitton at 35.8 percent.

Which AI system named luxury brands most often?

The OpenAI and Perplexity configurations named leading brands far more often than Gemini or Claude. Hermès appeared in 57 of 72 OpenAI answers and 51 of 72 Perplexity answers, versus 19 Gemini answers and one Claude answer.

Which brands led the price and personalized gifting prompts?

Jo Malone London led price-and-value prompts at 45.8 percent, followed by Coach at 41.7 percent. Smythson appeared in 41.7 percent of corporate and personalized gifting answers. Each cluster is a small subset of two prompts.

Does this study show which luxury brand sells the most gifts?

No. It measures how often brands were named in AI answers, not sales, consumer preference or product quality.

Why did the Claude configuration name so few brands?

The study does not establish why. System instructions, retrieval settings and response formats can change whether an answer names companies, so the underlying answers and execution settings should be checked before drawing conclusions about Claude's general behavior.

Which publishers appeared most in the retrieval evidence?

Global Brands Magazine appeared in 149 of 282 answers with retrieval evidence, Who What Wear in 77 and Forbes in 62. A retrieved source is not necessarily a citation shown to the user.

How many answers and prompts did the test include?

24 prompts, each run three times across four AI configurations, produced 288 returned answers on November 8, 2026.

Will this study be repeated?

This test is a starting benchmark. Keeping the prompts and configurations stable in later editions will allow change over time to be measured.