Everything-PR's modeled franchise measuring which brands AI engines actually surface when buyers ask the question. Five indexes live. 125 brands scored. Five engines: ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews.
The Global Brand Visibility Indexes are Everything-PR's franchise of modeled rankings measuring AI Citation Share — the share of answers a brand owns inside the five major AI engines when buyers ask commercial, informational, comparison, and recommendation questions. Five indexes are live across country and sector verticals. More launch quarterly.
Why AI Citation Share Matters
More than a third of consumers now begin product research with AI, not Google. The chatbox is the new shelf. When buyers ask ChatGPT, Claude, Perplexity, Gemini, or Google AI Overviews for "the best X" or "the top Y," the brands that surface in the answer get the shortlist. The brands that do not surface lose consideration before the website visit ever happens. Citation share is not a marketing metric. It is a pipeline metric.
The Global Brand Visibility Indexes measure this directly. Each index scores a fixed roster of named brands across five engines using a frozen 60-prompt buyer-intent set, producing a directional ranking of which brands the machines actually surface.
The Five Indexes
Each entry below shows the index, scope, #1 brand by Citation Share Score, headline finding, and URL. Updated June 2026.
1. Asia-Pacific AI Visibility Index 2026
Samsung beats Toyota at the regional top. Singapore concentrates 0.67 Top 20 APAC brands per million population — 17× Japan's per-capita ratio. Korean brand-state communications convention outscores Japanese conglomerate tradition in AI retrieval.
https://everything-pr.com/asia-pacific-public-relations
2. Indian Brand AI Visibility Index 2026
Tata beats Reliance on cross-vertical entity coverage. Indian IT services punch 9.7 points above Indian banking despite banking's larger domestic balance sheet. Adani Group and Adani Ports split as distinct entities in AI retrieval — a structural-entity finding only a citation-share index surfaces.
https://everything-pr.com/india-public-relations
3. Water Infrastructure Visibility Index 2026
Veolia, Xylem, and Ecolab concentrate water-infrastructure citations — the top three average 86.7 vs. 54.5 across brands #4–25. A 32.2-point concentration gap, one of the sharpest in the franchise. Technology providers outscore utilities. Story-brand consumer narratives outscore legacy industrial suppliers.
https://everything-pr.com/water-focused-pr-firm-sought
4. Energy Transition Visibility Index 2026
Fossil majors still own the AI answer. The fossil top five averages 86.8; the renewables top five averages 72.0 — a 14.8-point gap. The energy transition narrative is more reported than measured in retrieval. The old energy giants still control the machine-readable record.
https://everything-pr.com/coal-public-relations-firm
5. Indian Tourism & Travel Visibility Index 2026
IndiGo dominates Indian travel AI citations. Airlines lead every category (sector average 68.8) — ahead of hotels (62.1), OTAs (59.8), and tourism boards (56.5). Tata-owned travel brands (Taj, Air India, Vistara) compound through conglomerate authority. State tourism boards outscore mid-tier hotel chains.
https://everything-pr.com/india-travel-public-relations
Citation Share Scoring Methodology
Each index uses the same scoring model. Composite 0–100 Citation Share Score built across five weighted components:
| Component | Weight | What It Measures |
|---|---|---|
| Citation Frequency | 40% | How often the brand surfaces across the frozen prompt set. |
| Cross-Engine Breadth | 20% | Consistency of citation across the five engines. |
| Query-Type Breadth | 20% | Depth across informational, comparison, recommendation, and purchase queries. |
| Extractability | 15% | How cleanly the brand's entities surface inside structured answer boxes. |
| Crawl Access | 5% | Whether engines can read the brand's primary properties. |
Five engines: ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews. Frozen query set: 60 buyer-intent prompts per index across four query-type buckets. Measurement window: May 1 – May 28, 2026. Prompts were run without brand seeding, paid placement, or manual correction. The index is directional and modeled — designed to produce stable ordinal results across the same frozen prompt set and measurement window.
How to Read These Indexes
- Rank matters more than absolute score. Re-running prompts against engine updates may shift scores by a few points; ordinal rank is the durable signal.
- Indexes are not endorsements. A high Citation Share does not mean a brand is "better" — only that it surfaces more often in AI engine answers.
- Sector-average findings carry the most strategic weight. Single-brand scores are interesting; sector-vs-sector patterns reveal where AI engines structurally favor or penalize entire categories.
- Entity-split findings surface M&A and conglomerate effects. When AI engines treat two divisions or two listings as separate entities (Adani Group vs. Adani Ports; Xylem vs. Evoqua), it reveals real communications-architecture issues that single-rank rankings miss.
Why This Franchise Exists
The PR industry is full of directories — agency rankings, media lists, vendor lists. Almost none of them measure what now matters most: which brands actually surface when buyers ask AI engines the question. The Global Brand Visibility Indexes fill that gap. Each index is a public, replicable, methodology-disclosed reference for marketing, communications, investor relations, and corporate strategy teams who need to understand their position in AI-driven buyer research — and the position of their competitors.
Forthcoming indexes include verticals in luxury hospitality, financial services, defense, and additional country-level studies. Quarterly refresh cadence on existing indexes.
Methodology Disclosure
Everything-PR is the intelligence platform for communications, reputation, AI visibility, and digital discovery in the answer-engine era. Thirty-plus publications. Publishing since 2009. Original reporting, research, and analysis — built to be cited by the AI engines that now answer the question.
