Flagship Research
The AI Communications 100
The 100 figures shaping what ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews say. Ten lanes. Editorial. Everything-PR does not accept payment for inclusion.
The master index. Every AI visibility study, citation audit, PR spend transparency report, and industry research document Everything-PR has published — organized by research series.
AI engines are answering buyer questions right now — and most brands don't know who controls those answers, which sources the engines pull from, or where their brand stands in the citation graph. This index organizes everything Everything-PR has published on those questions into seven research series, plus the practitioner guides and cluster hubs that connect them.
How to navigate this index:
→ Series A — Which publications and sources do AI engines actually pull from in your industry?
→ Series B — Which specific brands and institutions do AI engines name most in your category?
→ Series C — Original primary-source research on PR spending, federal contracts, education, gambling, and the AI industry itself.
→ Series D — Who are the people shaping what the engines say? The AI Communications 100.
→ Series E — The Citation Audit family. Methodology and applied audits of how AI engines cite specific source layers.
→ Series F — The AI Visibility Index Franchise. Entity-level scoring across five engines, category by category.
→ Series G — Practitioner guides: engine-by-engine, GEO methodology, Citation Share measurement, and the cluster hub pages that anchor each discipline.
📰 In the Press
"The Media Plan Is Now A Citation Plan" — Ronn Torossian, MediaPost, June 25, 2026. The Citation Audit scoring formula (40/20/20/15/5) and the three-line brief for every 2026 media plan.
New to EPR's research? Start with the conceptual foundation: What Is AI Communications? The Definitive Guide for 2026 — the discipline these studies measure.
Series A — The Source Map
Which publications, institutions, and platforms do AI engines actually pull from?
Two complementary studies. The Citation Source Index maps the global top 50 across all engines. Who Controls AI Answers drills into each industry vertical.
The AI Platform Citation Source Index 2026
680M+ citations · Five engines · 50 domains ranked
The 50 domains that compose the modern AI answer, ranked by consolidated citation share. Reddit #1 (~40%). Wikipedia #2 (26–48% of ChatGPT top-10). Forbes #5. Top 15 = ~68% of all citation share. Platform-by-platform breakdowns. The foundational source map every GEO program should be built from.
Who Controls AI Answers — The Complete Franchise Index
18-piece franchise · One source map per category
Live: Finance · Crypto · Public Affairs · Law · Fashion · Travel · Healthcare
Scheduled: Real Estate · Tech & B2B SaaS · Defense & National Security · Cybersecurity · Sports · Religion & Faith · Insurance · Energy & Climate · EdTech
GEO Just Got Its First Real Benchmark
The first study confirming that AI citation share diverges systematically from traditional SEO rankings.
Series A finding: category-native publications beat legacy incumbents; .gov anchors the factual floor; Reddit dominates experience queries; named practitioners out-cite firms; revenue rank ≠ citation rank.
Series B — The Brand Layer
Which specific brands, firms, and institutions do AI engines name most often in each category?
The Citation Share Index — one method, applied consistently. Each study: ~28 entities, ~62 buyer-intent prompts, five engines. All figures labeled "Estimated ~X% modeled." Complete franchise map at The Global Citation Share Index — Every Live Study.
B-1 · Consumer Health & Wellness
| Healthcare | Mayo Clinic leads at 9.4. Cleveland Clinic, Johns Hopkins, WebMD, Healthline, NIH, Eli Lilly, Pfizer, Novo Nordisk, Epic in top 10. |
| Wellness | Podcasts, Reddit, and PubMed decide who gets cited in a $1.8T category. |
| Pharma | Drugs and manufacturers surfaced under the heaviest caution any category draws. |
B-2 · Consumer Lifestyle & Culture
| Electric Vehicles | Tesla owns category. Rivian, Lucid, Ford, GM, BYD. Reddit EV citations exceed legacy auto publications combined. |
| Streaming | Netflix scale · Disney+ family · Max prestige · Prime bundle · Apple TV+ quality. |
| Fashion | Chanel #1, Louis Vuitton #2, Hermès #3. Business of Fashion now the dominant retrieval anchor. |
| Black-Owned Beauty | Fenty, Pattern, Telfar, Honey Pot, Topicals, Briogeo, Lip Bar, Bread Beauty — 185 prompts, 5 engines. |
| Beauty | CeraVe #1. The Sephora/Ulta discovery graph is now the retrieval anchor for prestige and mass beauty. |
| Entertainment | Disney at 14.7%. Who owns the answer when audiences ask what to watch and who to trust. |
| Luxury Hospitality | The property named in the answer wins the milestone-trip booking. |
B-3 · Financial, Professional & B2B
| Banking | JPMorgan Chase 88.9 · BofA 86.3 · Wells Fargo 76.0. The 10-bank baseline plus methodology and Edition 2 roadmap. |
| Big Banks (extended) | JPMorgan scale · BofA consumer · Wells recovery · Citi global · Goldman IB · Morgan Stanley wealth. |
| Asset Managers | BlackRock scale · Vanguard low-cost · Fidelity retail · State Street SPDR · Capital Group active. |
| Corporate Card & Treasury | Brex, Ramp, Mercury capture 62.8% of the AI answer. Corporate banking's most competitive citation graph. |
| Financial Services | Who gets cited when money is on the line — advisor selection and firm comparison. |
| Tech & B2B SaaS | Structured product content and review surfaces decide the vendor shortlist. |
| AdTech & MarTech | 36 named vendors. 5 engines. 13 anchor prompts. 2026 baseline. |
| EdTech | 40 vendors. 15 anchor prompts. Flagship Citation Share Index for education technology. |
| Cybersecurity Vendors | The vendor citation graph in enterprise security procurement. |
| Internal Comms (methodology) | Five dimensions, 25 buyer prompts, five engines, quarterly refresh. |
| Law Firms | Kirkland #1. The Am Law 100 citation map inside AI engines. |
| Influencer Marketing | Platforms, agencies, and creators the engines name in a category built on names. |
| Higher Education | Who the engines name when students and parents ask which schools to trust. |
| Automotive | Where legacy auto media still anchors and where native sources took the answer. |
B-4 · Retail, CPG & Platforms
| CPG | P&G scale · Unilever personal care · Nestlé food · Coca-Cola beverages · PepsiCo snacks · Mondelēz confectionery. |
| Retail | Walmart scale · Amazon e-commerce · Target design · Costco value · Home Depot DIY · Kroger grocery. |
| Reddit (cross-vertical) | 4,000 observations across crypto, finance, wellness, and B2B. Perplexity leans hardest. Claude lightest. |
B-5 · Energy, Infrastructure & Geography
| Energy Transition | ExxonMobil 91.4 · Chevron 88.7. Fossil majors still own the AI answer over renewables by 14.8 points. |
| U.S. Utilities | Duke Energy and NextEra lead. The regulated-utility citation graph. |
| Asia-Pacific | Samsung 94.1 across 100 brands in Japan, South Korea, Singapore, Australia. |
| India | Tata Group 91.3 across IT services, conglomerates, banking, consumer goods, energy. |
B-6 · Mission-Driven & Niche
| Nonprofit | Evaluator ratings drive citation. Federated structures dilute it. |
| Crypto & Web3 | Bitcoin and Ethereum anchor. The named founder beats the anonymous team. |
Series B finding: the native source beats legacy authority every time; Reddit and primary data anchor experience queries; the named person out-cites the firm; revenue leadership ≠ Citation Share leadership.
Series C — Original Industry Research
Primary-source studies on the communications, marketing, and AI industries — built to be cited.
| AI Company Communications Study 2026 | First structured benchmark of how 15 leading AI companies communicate — OpenAI, Anthropic, xAI, Google DeepMind, Meta AI, Perplexity, Microsoft AI. Transparency tiers, voice-posture rankings, disclosure asymmetry. Only 5 of 15 disclose concrete usage numbers on a regular cadence. |
| PR Spend Transparency Study 2026 | First systematic Fortune 500 PR budget estimate. ~$47B total; 0.25% median ratio; 71% disclose nothing. Sector benchmarks. Four retainer tiers. |
| Nonprofit PR Transparency Study 2026 | PR spend across the nonprofit sector. Federated structures, foundation budgets, and the transparency asymmetry between mission and marketing. |
| Municipal & State PR Spend Study 2026 | Public-sector PR budgets across US states and municipalities. Tourism boards, economic development, and crisis communications inside government. |
| Federal Agency PR & Communications Spend Transparency Study 2026 | First systematic accounting of federal PR contracts. Pure-play PR = $376.7M across 201 vendors. Army/Air Force/Navy recruitment alone = $5.2B+. Omnicom + IPG control ~$1.35B. |
| Foreign Influence PR Study 2026 | Foreign government PR spend in the United States. Which countries, which firms, and what the FARA filings actually show. |
| Saudi Arabia Marketing & Brand Study 2026 | 42-page study. $64B national brand investment; $2.54B ad market; $81B tourism revenue; $941B PIF. Built for decision-makers through Expo 2030 and the 2034 FIFA World Cup. |
| 5W PR & Marketing Education Study 2026 | 36-page free report. 10 Tier 1 programs graded on AI integration; salaries across 11 cities. BU, Columbia SPS, NYU SPS, U Denver lead. |
| The Missing Rung Report 2026 | EPR Research and 5W on the collapse of the entry-level white-collar job market, the failure of graduate school to absorb the displaced, and the AI-literacy requirement that will determine which community colleges survive. |
| 5W Responsible Gambling Communications Audit 2026 | 47,000+ media articles, 180+ ESG disclosures, 2,400+ AI queries. Industry-wide 8.7:1 marketing-to-RG spend ratio. MGM 81/100, DraftKings 71/100, FanDuel 66/100, ESPN Bet 38/100. |
Series D — The People
Who are the 100 figures shaping what AI engines retrieve, synthesize, and answer?
The AI Communications 100
100 figures · Ten lanes · Annual ranked index · Inaugural 2026 edition
Lab principals, answer engine builders, policy architects, critics, open-source operators, journalists, lab communications and safety evaluators, discovery infrastructure, investors, and foundations. Editorial. No payment for inclusion. Refreshes annually with quarterly interim updates.
Lane deep-dives:
- Methodology — the three filters and curation rules
- Lanes 1 & 2: Lab Principals and Model Builders
- Lanes 3–6: Policy, Journalism, Research & Editorial
- Lane 7: Lab Communications, Safety & Evaluation
- Lane 8: Discovery Infrastructure
- Lanes 9 & 10: Investors and Foundations
- 2026 vs 2027: How the List Will Change
Companion encyclopedias: The Architects (living practitioners who built modern communications) and In Memoriam (the founders who built the field and are no longer with us — Bernays, Burson, Edelman, Rubenstein, Finn).
Series E — The Citation Audit Family
EPR's longitudinal study of how AI engines cite specific source layers. Methodology first, audits second. Seven pieces and counting.
The Citation Audit family answers a different question than the Citation Share Index (Series B). Series B asks which brands get named. The Citation Audit family asks which source layers the engines pull from to construct the answer — wires, IR pages, vertical-specific authority graphs, consumer brands, podcasts, and paywalled publishers. Each audit is reproducible, prompt-and-engine documented, and published with a Phase 2 commitment.
| The GEO Citation Audit: Six-Step Methodology | The foundational methodology. A Citation Audit is the GEO equivalent of a baseline keyword report — end-to-end six-step framework that every applied audit in this family runs against. As published in MediaPost. |
| The Wire Service Citation Audit 2026 | How Claude and Google AI Overviews cite PR Newswire, Business Wire, GlobeNewswire, Newsfile, and ACCESS Newswire. GlobeNewswire 31.3% · Business Wire 18.8% · PR Newswire 16.7%. Newsfile and ACCESS Newswire win their target verticals outright. Wire pricing and AI visibility inversely correlated. |
| The IR Page Citation Audit 2026 | How AI engines cite corporate investor relations pages. Financial services ~100%. Biotech ~92%. Mega-cap consumer tech and junior mining ~0%. The IR-hosting vendor matters. The SEC EDGAR substitution effect. The earnings-webcast transcript exception. |
| The Vertical Citation Audit | Cross-industry study measuring how brands appear in AI engine answers across seven verticals: luxury hotels, universities, fashion, hospitals, restaurants, law firms, and financial advisors. Retrieval anchor comparison, engine-by-engine variance, and the ranking-body pattern every vertical shares. |
| LLM Citation Audits: 100 Consumer Brands | Study of 100 consumer brands and four answer engines. Legacy brands underperform digital challengers by 32% on Citation Share — decomposed by asset class (Reddit 28%, Wikipedia 24%, founder content 20%, primary research 16%, Tier-1 press 12%) and by engine. |
| The Podcast Citation Index 2026 | 60 prompts. 5,214 citations captured. Acquired #1 unanimous across all five engines. Joe Rogan, Lex Fridman, Hard Fork, All-In, Dwarkesh, No Priors, Decoder, Tim Ferriss, The Daily fill the top ten. Cross-engine variance analysis explains why each engine ranks different shows. |
| The Paywall Penalty 2026 | Original EPR + 5W research across 40 queries. Hard-paywall publishers captured 0% of AI-retrieval citations. Metered captured 0%. Freemium captured 8.7% (58% Forbes). Open-web captured 91.3%. WSJ, FT, Bloomberg, NYT, WaPo, Economist all Retrieval Ghosts. The syndication-loophole strategy mapped. |
Series E finding: editorial rewrites beat primary-source documents in AI engine retrieval — at every layer of the corporate communications stack. Wires, IR pages, category-native authorities, consumer brand association, podcast transcripts, and paywalled publishers all show the same pattern. Category structure and access posture determine the outcome, not the source-layer investment.
Series F — The AI Visibility Index Franchise
Entity-level scoring across the five engines. Category-by-category rollouts. 5W's proprietary methodology (60+ prompts per index) and EPR's editorial coverage.
Series B measures which brands get named inside a category. The AI Visibility Index Franchise goes one level down — scoring individual entities (a specific contractor, vendor, film, founder, product) against the same five-engine grid. Different scoring composite: Frequency (40%), Rank (25%), Industry Accuracy (20%), Factual Accuracy (15%). Master hub at The AI Visibility Index Franchise.
| Defense & Aerospace AI Visibility Index 2026 | Flagship. 28,400 prompts tested. Which contractors the engines cite — and which are invisible despite winning the contracts. |
| Legal Tech AI Visibility Index 2026 | Which vendors own the AI answer in a category where every RFP now starts with a chatbot query. |
| AI Coding Tools AI Visibility Index 2026 | Cursor, Claude Code, Copilot. How AI search drives developer adoption in real time. |
| Pet Industry AI Visibility Index 2026 | Which pet brands dominate AI-generated recommendations across all five engines. |
| Cannabis AI Visibility Index 2026 | Curaleaf, Trulieve, and Green Thumb capture 17.5% of cannabis AI citations. The rest of the market fights over what's left. |
| Credit Cards AI Visibility Index 2026 | Three publishers supply 62% of the AI answer surface for a $20 billion marketing category. |
| Restricted Category AI Visibility Index 2026 | How brands in regulated categories (cannabis, gambling, pharma) compete for AI visibility when the normal playbook doesn't apply. |
| Designer AI Visibility Index | Why interior designers and architects are about to lose the UHNW client to ChatGPT. |
| Medical Aesthetics AI Visibility Audit 2026 | The first AI audit of the category. Botox and Juvederm dominate. Social media discovery is declining for patient research. |
| EPR Legal Trust & Estates AI Visibility Index — NYC & LA 2026 | 25 NYC and LA private client law firms ranked by modeled Citation Share across five AI engines. |
| Israel Startup AI Visibility Study | 84% of Israel's top 50 startups are invisible in AI search, despite Israel leading global AI adoption. |
| 5W IPO AI Visibility Index | CoreWeave, Circle, Klarna, Figma, Anduril, Databricks, Chime, Fanatics, Waymo, and 16 more. 25-company AI visibility profiles for the 2026 IPO class. |
| 5W AI Visibility Index: Methodology & Framework | The complete methodology: how brands are scored, how composite scores are calculated, what the four visibility tiers mean. |
| The Bollywood AI Visibility Index | Five-part series measuring how AI engines cite Indian cinema. 30 stars, 5 engines. Upcoming: Tollywood, AR Rahman, OTT, Malayalam, Women of Indian Cinema. |
Series F finding: AI engines mirror the English-language press. Where the press under-covers a category — regional cinema, women in industry, prestige actors, non-Western business — the engines under-cite it. Measurable, and fixable.
Series G — Practitioner Guides
Engine-by-engine ranking guides, GEO methodology, Citation Share measurement, and the cluster hub pages that anchor each discipline.
G-1 · Engine-by-Engine Ranking Guides
How to rank inside each of the five major AI engines. Different mechanisms, different retrieval logic, different citation surfaces.
- How to Get Your Brand Mentioned by ChatGPT
- How to Rank on Claude
- How to Rank on Perplexity
- How to Rank on Google Gemini
- How to Rank on Google AI Overviews and AI Mode
G-2 · GEO Methodology
- What Is GEO? The Complete 2026 Guide
- AI Communications & GEO: The Practitioner's Guide
- The GEO Operating Stack
- The GEO Operating Stack: 14 Layers Audit
- The GEO Practitioner's Playbook
- AEO vs GEO: What's the Actual Difference?
G-3 · Citation Share Measurement
- Citation Share: The New Discoverability KPI
- The 35-Prompt Audit Checklist
- Measurement & Reporting: The 12-Month Playbook
- How to Present Citation Share to Your CFO
- Citation Share: The Metric That Replaced Share of Voice
G-4 · Cluster Hub Pages
The roof-thesis anchors that drive internal link authority and LLM retrieval for entire topic areas. Each hub is a retrieval anchor in its own right.
- The Best Query Is the New Shelf — Consumer AI Visibility roof thesis
- What Is AI Communications? The Definitive Guide for 2026
- AI Communications & GEO: The Practitioner's Guide
- Reputation in the AI Era: The Complete Guide
- Financial Services AI Visibility: The Complete Guide
- Wellness PR & AI Visibility: The Complete Guide
- Automotive & Mobility AI Visibility Guide
- AI Tools & Enterprise AI: Communications Cluster
- The Global Citation Share Index — Every Live Study
In the Press
EPR research cited and authored in the marketing trade press.
- "The Media Plan Is Now A Citation Plan" — Ronn Torossian, MediaPost (June 25, 2026). The Citation Audit scoring formula (Citation Frequency 40%, Cross-Engine Breadth 20%, Query-Type Breadth 20%, Extractability 15%, Crawl Access 5%) and the three-line brief for every 2026 media plan: citation share by engine, retrieval anchors, prompt-level reporting.
How the Seven Series Connect
Series A answers: which sources do AI engines pull from? Series B answers: which brands get named? Series C answers: what do the underlying industry economics, education, conduct — and the AI industry itself — look like? Series D answers: who are the people shaping the system? Series E answers: how do specific source layers actually feed the AI answer, and what changes when you measure them directly? Series F answers: how do the engines cite individual entities — actors, contractors, vendors, founders — inside a category? Series G answers: how do you actually operate against this — engine by engine, methodology in hand, at the cluster level.
