A 5W × Haute Living Research Product
AI VISIBILITY INDEX
The World Cup 2026 AI Authority Index
AI Authority Index
The first global event measured through AI-native perception systems — how ChatGPT, Claude, Gemini, and Perplexity construct reality around the world’s largest tournament before a single match is played.
01 The Thesis
When five billion fans research the tournament, most won’t start on Google.
They will start inside an AI engine. Players, host cities, kits, hotels, broadcasters, betting markets, sponsor brands — every commercial decision adjacent to the World Cup will be filtered through a generative model first. The Authority Index measures that filter.
02 The Four Pillars
Four layers of AI-mediated cultural authority.
Each pillar isolates a different axis of how AI engines shape attention, recommendation, and commercial decision-making around the tournament. Each produces its own Authority Score — and together they map the cultural infrastructure of the first AI-native World Cup.
Player Authority Index
Who do AI engines treat as the defining figures of World Cup 2026?
- Established stars — Messi, Mbappé, Haaland, Bellingham, Viñícius Jr.
- Breakout candidates — Lamine Yamal, Endrick, Désiré Doué
- USMNT figures — Pulisic, Reyna, Balogun, McKennie
- National team captains across 48 qualified federations
- First Mention Rate — order of appearance in AI responses
- Inclusion Rate — percentage of prompts naming the player at all
- Narrative Role — favorite, legacy, breakout, underdog, X-factor
- Cross-Model Consensus — convergence across all four engines
Host City AI Destination Index
Which cities do AI engines recommend as “the World Cup experience”?
- US — New York/New Jersey, Los Angeles, Miami, Dallas, Atlanta, Houston, Boston, Philadelphia, Seattle, San Francisco Bay Area, Kansas City
- Mexico — Mexico City, Guadalajara, Monterrey
- Canada — Toronto, Vancouver
- Recommendation Frequency — appearance in destination prompts
- Travel Framing — lifestyle, sports, culture, nightlife, transit
- Match Gravity Weight — knockout, opening, marquee fixture pull
- Tourism Conversion Adjacency — hotels, airlines, itineraries surfaced
Commercial Adjacency Index
Which brands do AI engines naturally surface inside World Cup context?
- Kits & Apparel — Nike, Adidas, Puma, New Balance
- Official Sponsors — Visa, Coca-Cola, Adidas, Hyundai/Kia, Qatar Airways
- Travel — airlines, hotels, credit cards, booking platforms
- Broadcast & Streaming — Fox, Telemundo, Apple TV, DAZN, regional rights holders
- Brand Inclusion Rate — frequency across commercial prompts
- Category Dominance — default answer vs secondary vs absent
- Sponsorship Invisibility Gap — official sponsors absent from AI recommendation
Tournament Narrative Index
How do AI engines define the meaning of the tournament?
- The Messi legacy tournament — final stage
- The first 48-team World Cup — format inflection
- The US soccer growth moment — domestic audience expansion
- The global expansion era — commercial scale, broadcast reach
- The geopolitical World Cup — tri-nation hosting
- Dominant Narrative — which frame leads across models
- Narrative Consistency — model-to-model agreement
- Emotional Framing — historic, commercial, competitive, transitional
- Regional Variance — US vs Europe vs Latin America framing
03 Methodology
A standardized prompt battery, run monthly, across four engines.
The index is only as defensible as its inputs. Every entity is measured against the same prompts, in the same languages, on the same cadence, with results captured and time-stamped for longitudinal comparison through final whistle.
01 Prompt Design120+ prompts, structured by pillar.
Each pillar runs a standardized battery of prompts in four languages — English, Spanish, Portuguese, French — to capture regional AI variance. Prompts are designed to mirror how a real fan, traveler, or buyer would ask the question.
- Who are the best players in the world in 2026?
- Who will be the standout players at World Cup 2026?
- Will Messi be relevant at World Cup 2026?
- What are the best cities to visit for World Cup 2026?
- Where should I stay for World Cup USA matches?
- Which host cities are best for tourists?
Four engines. Captured the same week.
All prompts execute against ChatGPT (GPT-5 / GPT-4o), Claude (Opus 4.7), Google Gemini, and Perplexity within a 72-hour collection window each month. Same prompts, same conditions, same window — no cherry-picking.
Responses are captured raw, parsed for entity extraction, and scored against the four-component rubric (right). Cross-model consensus is the single most important authority signal — when all four engines name the same player, city, or brand, that entity owns the category in the AI layer.
03 CadenceQuarterly through Q1 2026, monthly through final whistle.
Baseline: January 2026 · Pre-tournament: March, April, May 2026 · Live tracking: weekly during tournament window · Post: August 2026 closing report.
04 The Scoring Rubric
Four components. 100 points per entity.
Every player, city, and brand earns a score across four weighted components. The total is the entity’s Authority Score — a single, comparable number across categories and over time.
“Citation Share is the new market share. The World Cup 2026 will be the first tournament where the AI layer decides what billions of fans see before the broadcast does.”
05 Sample Output Tables
Structure illustrated. Data populated at baseline.
The tables below show the shape of the output product — the format sponsors, federations, and tourism boards will receive each quarter. Scores populate from the January 2026 baseline forward.
| Rank | Player | Federation | Narrative Frame | Consensus | Authority Score |
|---|---|---|---|---|---|
| 01 | Player A | FED | Legacy / final stage | 4 / 4 engines |
—
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| 02 | Player B | FED | Best in world / favorite | 4 / 4 engines |
—
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| 03 | Player C | FED | Generational talent | 3 / 4 engines |
—
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| 04 | Player D | FED | Breakout / wildcard | 3 / 4 engines |
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| 05 | Player E | FED | Host nation flagbearer | 2 / 4 engines |
—
|
| Scores populate from January 2026 baseline. Format shown for sponsor preview. | |||||
| Rank | Host City | Match Gravity | Dominant Travel Framing | Tourism Adjacency | Destination Score |
|---|---|---|---|---|---|
| 01 | New York / NJ | Final + 7 matches | Global gateway / culture | High | — |
| 02 | Los Angeles | 8 matches | Lifestyle / entertainment | High | — |
| 03 | Miami | 7 matches | Nightlife / Latin gateway | High | — |
| 04 | Mexico City | Opening + 5 matches | Cultural anchor / heritage | High | — |
| 05 | Dallas | 9 matches (most US) | Sports hub / capacity | Medium | — |
| All 16 host cities scored quarterly. Match counts per FIFA public schedule. | |||||
| Category | Brand | Official Sponsor | AI Default Answer | Inclusion Rate | CSOV Score |
|---|---|---|---|---|---|
| Kits | Brand A | — | Yes — default | —% | — |
| Kits | Brand B | Yes | Secondary | —% | — |
| Travel · Credit Card | Brand C | Yes | Absent · invisibility gap | —% | — |
| Broadcast | Brand D | — | Yes — default | —% | — |
| The Invisibility Gap — official sponsors that AI engines do not surface in commercial prompts — is the single highest-value insight for brand teams. | |||||
06 Who Buys This
Four buyer categories. Each gets a different cut of the data.
The Authority Index is not a report. It is a quarterly intelligence subscription — packaged differently for each constituency, sold against the audience they’re actually trying to reach.
For Visa, Adidas, Nike, Coca-Cola, Qatar Airways.
The Invisibility Gap report. Official sponsorship does not equal AI visibility — the index quantifies which sponsors are AI-default, which are AI-secondary, and which paid for the rights but are absent from the answer. The closer to kickoff, the more expensive that gap becomes to close.
For NYC & Co, Visit California, Visit Florida, CDMX, Toronto Tourism.
Pillar B in full. Travel framing, recommendation share, tourism adjacency. Which host cities AI engines treat as the World Cup destination versus a transit stop. Direct input into pre-tournament destination marketing budgets.
For player agencies, federations, boot and apparel deals.
Pillar A in full. Which players AI engines crown, which it ignores, and how its framing shifts through the tournament. Boot deal negotiations, federation marketing, and post-tournament sponsorship value all anchor to this score.
For Fox, Telemundo, DAZN, Apple TV, regional rights holders.
Pillar D in full. Which narrative frames AI engines amplify — and which they suppress. Programming, talent booking, and editorial direction calibrated to the storylines AI is already telling five billion fans before broadcast picks up the signal.
07 Why 5W × Haute Living
One firm measures the AI layer. One platform owns the cultural layer.
5W The MeasurementThe AI Communications Firm.
5W is the AI Communications Firm — building brand authority across the platforms where decisions now happen. ChatGPT. Claude. Perplexity. Gemini. Google AI Overviews. Alongside earned media, digital, and influencer channels.
5W combines public relations, digital marketing, Generative Engine Optimization (GEO), and proprietary AI visibility research. The Authority Index is the proprietary research layer — measurement infrastructure built specifically for the generative era.
5W has been recognized as a top U.S. PR agency by O’Dwyer’s, named Agency of the Year in the American Business Awards®, and honored as a Top Place to Work in Communications in 2026 by Ragan.
HL The DistributionHaute Living.
Haute Living is the premium lifestyle and cultural authority across the cities where the World Cup actually happens — Miami, New York, Los Angeles, Dallas, San Francisco — with global luxury distribution and the audience federations, sponsors, and tourism boards already spend against.
Together: the measurement firm and the cultural platform. The index is co-branded, co-distributed, co-owned. Each release runs through Haute editorial, 5W’s earned media motion, and the Everything-PR network — a 20-publication distribution layer purpose-built for AI citation infrastructure.
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