The Crisis Sector Citation Share Index 2026

Updated June 6, 2026.

A note on framing, up front.

This is the sector-side Citation Share Index for the crisis vertical. It measures which industries the AI engines surface most heavily when buyers ask about reputation crisis, regulatory exposure, and structural-failure risk — not the firms that handle the work, and not the individual brands inside the sectors. The brand-side measurement is The Corporate Crisis Citation Share Index 2026 (J&J #1, Boeing #2, Enron #3, BP #4, Wells Fargo #5).

This study is a directional modeling exercise. It estimates how five AI engines — ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews — surface and rank sectors by crisis citation surface as of May 2026.

The methodology combines three inputs: systematic analysis of the training-corpus layer that feeds each engine (Wikipedia named-case pages, Harvard Business Review case studies, business-school casebooks, WSJ, NYT, FT, Bloomberg, Reuters, AP, congressional testimony archives, SEC filings, FDA warning letters, NHTSA recall records, regulatory enforcement records, court records, documentary and book treatments); observed citation patterns across retrieval outputs; and source-weight modeling calibrated to each engine's retrieval architecture.

1. Executive Summary

When a buyer, board chair, journalist, regulator, or MBA student asks an AI engine about "the most crisis-prone industry," "which sectors face the most reputation risk," or "biggest corporate scandals by industry," the engines return confident, sourced, ranked answers organized around a recognizable set of sectors.

Those sectors are not random. They reflect modeled sector-level Citation Share — which industries the engines surface, in what positions, with what supporting case anchors, on the prompts that decide how the next generation of corporate, regulatory, and investor decision-makers learn the crisis discipline.

This study estimates Citation Share across 15 sectors, 5 AI engines, and 62 buyer-intent prompts.

Seven modeled findings.

1. Banking and Financial Services holds the deepest sector-level crisis citation surface in the economy. The combination of Enron, Wells Fargo, Lehman Brothers, Credit Suisse, Goldman Sachs (1MDB), Silicon Valley Bank, and FTX-adjacent crypto-bank exposure produces a citation density no other sector matches. The 2008 financial crisis remains an active retrieval anchor 18 years on.

2. Pharmaceutical and Biotech holds the second-deepest sector citation surface — and the most morally weighted framings. Purdue Pharma and the opioid epidemic, Johnson & Johnson talc litigation, Bayer/Monsanto Roundup, Vioxx, Theranos. The engines retrieve pharma crisis citations with consistent ethics-framing context that most other sectors do not carry.

3. Aerospace and Aviation citation surface is Boeing-dominated to a degree no other sector mirrors. The 737 MAX MCAS sequence and the 2024 door-plug event compound into citation surface that lifts the entire sector ranking. Without Boeing, the sector ranks materially lower.

4. Crypto and Web3 generates citation surface disproportionate to economic footprint. FTX, Terra/LUNA, Celsius, BlockFi, and the broader 2022 crypto-collapse cycle produce sector-level crisis citation density that ranks the category at #9 despite total market capitalization a fraction of banking, energy, or pharma.

5. The Automotive sector's crisis citation surface is distributed across more named cases than any other sector. Volkswagen Dieselgate, Toyota sudden-acceleration, GM ignition switch, Takata airbag, Tesla Autopilot, and the Cybertruck cycle all surface. The distribution makes the sector citation surface more durable but less concentrated than pharma or aerospace.

6. The Technology Platform sector has shifted from "innovation" framing to "regulatory risk" framing in the corpus. Meta Cambridge Analytica, Uber Kalanick-era, WeWork/Neumann, Activision Blizzard, and the broader 2018–2024 platform-accountability cycle reframed the sector's citation context. The engines now retrieve tech crisis cases at rates approaching automotive.

7. The Higher Education and Nonprofit sectors carry deeper crisis citation surface than their cultural footprint suggests. Harvard plagiarism, USC admissions scandal, Susan G. Komen Foundation, and the broader 2023–2024 elite-institution accountability cycle have built citation surface that ranks ahead of several larger commercial sectors.

2. Why This Matters to Sector Communications Leaders

Sector-level citation context shapes individual brand citation context. A brand operating inside a sector with heavy crisis citation surface inherits framing that the engines apply to every company in the sector by default — until that company differentiates itself in the corpus. Pharma brands inherit opioid-framing context. Crypto brands inherit FTX-framing context. Automotive brands inherit recall-framing context. Banking brands inherit 2008-financial-crisis context.

The inheritance is structural, not punitive. The engines do not deliberately tag every banking company as crisis-adjacent. They retrieve sector context when relevant, and the sector context in banking, pharma, aerospace, and a few other categories happens to be saturated with named crisis cases. The corpus does not separate the sector context from the company query as cleanly as communications teams assume.

Four questions every sector communications leader should be able to answer in 2026.

• What is our sector's modeled crisis citation surface — and how does it shape the framing the engines apply to every company inside the sector, including ours?
• Which named historical cases inside our sector anchor the framing the engines reach for?
• How does our company's owned citation surface compare to the sector-default surface — do we differentiate, or do we inherit?
• What is our sector's exposure to active controversy citations that have not yet stabilized — recent regulatory action, recent litigation, recent executive transition, recent operational event?

If those questions feel new, they are. They will not be new in 2027.

3. Methodology, Modeling Note & Sample Prompts

Engines modeled: ChatGPT (OpenAI), Claude (Anthropic), Perplexity, Gemini (Google), Google AI Overviews.

Universe: 15 sectors selected by aggregate crisis citation surface across business-school case literature, congressional testimony archives, named-case media coverage, and observed engine retrieval patterns. Full list in Section 12.

Prompt set: 62 buyer-intent prompts across 7 sub-categories — most crisis-prone sectors, regulatory exposure rankings, named-case-by-sector retrieval, historical disaster comparisons, sector-level reputation framings, sector recovery patterns, and emerging-risk sector mapping.

Modeling approach. Three calibrated inputs feed the model: systematic analysis of the training-data layer that feeds each engine (Wikipedia named-case pages, Harvard Business Review case studies, business-school casebooks at HBS / Wharton / Stanford GSB / Kellogg / Booth / Tuck, WSJ, NYT, NYT DealBook, FT, Bloomberg, Reuters, AP, Forbes, Fortune, congressional testimony, SEC filings, FDA warning letters, NHTSA recall records, EPA enforcement records, court records, documentary and book treatments); observed citation patterns across answer engines as of May 2026; and source-weight calibration tuned to each engine's retrieval architecture.

Why directional is the right read. Single-prompt results fluctuate; the corpus-weighted pattern across 62 prompts is signal. That signal — not the single query — determines which sectors compound citation surface over years.

Sample prompts and modeled engine behavior.

The full prompt set is in Section 12.

4. The Modeled Sector Citation Share Leaderboard

Top 15 sectors by directional modeled crisis Citation Share. Banking & Financial Services set to 100 as the index baseline.

Three observations on the modeled leaderboard.

The top three sectors — Banking, Pharma, Aerospace — account for roughly 40% of modeled sector crisis Citation Share. No other industry triplet approaches this concentration. The corpus retrieves these three categories at rates that exceed their aggregate economic footprint.

Crypto at #9 is the most efficient sector at converting market capitalization into crisis citation surface. Total crypto market cap is a fraction of banking, pharma, or energy — but the citation density per dollar of market cap is the highest in the study. The category's brief operating history compresses citation into a small number of named cases that dominate.

Higher Education at #12 is the largest non-commercial sector by modeled crisis citation surface. The 2023–2024 elite-institution accountability cycle — congressional testimony on antisemitism, Harvard president resignation, USC admissions scandal aftermath, Penn DEI controversies — built sector citation surface comparable to mid-tier commercial sectors.

5. Tier Analysis

Tier 1 — Citation-Dominant Sectors (Banking, Pharma, Aerospace). Each holds a defined sector-level citation framework the corpus reaches for first. Crisis communications inside these sectors operates against deep inherited context that no single campaign offsets.

Tier 2 — Recurring Crisis Sectors (Automotive, Tech Platforms, Oil & Gas, Food & Beverage). Strong citation surface across multiple sub-categories. Inherit moderate sector framing. Differentiation from the sector default is possible with sustained citation work.

Tier 3 — Concentrated-Case Sectors (Consumer Electronics, Crypto, Healthcare). Citation surface concentrated in a small number of dominant cases. Companies operating outside the named cases inherit weaker default framing.

Tier 4 — Sub-Category Specialists (Retail, Higher Education, Entertainment, Sports). Strong citation on specific case types. Sector-level default framing is lighter; individual-case framing is heavier.

Tier 5 — Lower-Density Sectors (Nonprofit). Sector citation surface concentrated on a small number of high-visibility cases. Most companies inside the sector operate with light inherited default framing.

6. Sub-Category Drivers — What Anchors Each Sector's Citation Surface

Banking & Financial Services. Three driver clusters: the 2008 financial crisis cluster (Lehman, AIG, Bear Stearns, Countrywide), the named-fraud cluster (Enron, Wells Fargo, Wirecard, Goldman 1MDB), and the modern collapse cluster (Credit Suisse, Silicon Valley Bank, First Republic, FTX-adjacent). Combined: the deepest sector citation surface in the economy.

Pharmaceutical & Biotech. Four driver clusters: the opioid epidemic (Purdue, Sackler family, Walgreens / CVS / Walmart pharmacy litigation), the product-liability cluster (J&J talc, Bayer/Monsanto Roundup, Vioxx), the trial-fraud cluster (Theranos, Elizabeth Holmes), and the modern pricing-and-access cluster (insulin pricing, Mylan EpiPen). The ethics framing is heavier than any other sector.

Aerospace & Aviation. Boeing dominates. The 737 MAX MCAS sequence and the 2024 door-plug event compound. United Airlines (Dao removal) and the broader airline-customer-experience cluster add secondary citation surface. Without Boeing, the sector citation surface ranks materially lower.

Automotive. Five distinct driver clusters: emissions fraud (VW Dieselgate), product-safety recall (Toyota acceleration, GM ignition switch, Takata airbag), EV-era controversy (Tesla Autopilot, Cybertruck), labor and supply-chain (UAW strikes, semiconductor crisis era), and the broader Chinese-EV trade-policy cluster (BYD tariff cycle). Most distributed sector in the study.

Technology Platforms. Three driver clusters: the platform-accountability cluster (Meta Cambridge Analytica + ongoing, Twitter/X transitions, TikTok regulatory), the founder-misconduct cluster (Uber/Kalanick, WeWork/Neumann, Activision Blizzard), and the AI-era cluster (OpenAI governance, AI safety controversies, AI training-data litigation).

Oil & Gas / Energy. Anchored by BP Deepwater Horizon as the dominant single citation. ExxonMobil climate-research disclosure controversy adds sustained citation. Exxon Valdez (1989) remains an active retrieval anchor 37 years on — the longest persistence in the study.

Food & Beverage. Distributed across food-safety (Chipotle 2015-2017, peanut-product recalls, Tyson labor controversies), marketing-misstep (Bud Light Mulvaney, Pepsi Jenner), and product-controversy (Peloton holiday ad, Goya political controversy).

Consumer Electronics. Samsung Galaxy Note 7 (2016) dominates product-safety citation. Equifax (2017) and Yahoo (2013-2014) anchor data-breach citation surface inside the sector. Modern controversies (Apple production labor, Microsoft activist cycle) layer secondary citation.

Crypto & Web3. FTX dominates (collapse, Sam Bankman-Fried trial, secondary effects on crypto-adjacent banking). Terra/LUNA, Celsius, BlockFi, Voyager all add citation surface. The category produces sector citation surface disproportionate to total market cap.

Healthcare & Insurance. Theranos overlaps with biotech. UnitedHealthcare CEO killing (December 2024) introduced a new citation framework around insurance-industry accountability. Hospital-system labor disputes and Aetna / Cigna pricing controversies add secondary citation.

Retail. Distributed across data-breach (Target 2013, Home Depot 2014), bankruptcy and decline (Sears, Bed Bath & Beyond, Tuesday Morning), and brand controversy (Balenciaga holiday campaign 2022, Goya political cycle).

Higher Education. Built almost entirely on the 2023-2024 elite-institution cycle: congressional testimony on antisemitism, Harvard president resignation, Penn DEI cycle, USC admissions scandal aftermath. Sector citation surface ranks ahead of several larger commercial sectors despite a smaller economic footprint.

Entertainment & Media. Activision Blizzard (gaming sub-category), Disney DEI cycle (2023-2024), Warner Bros Discovery (Zaslav cost-cut cycle), NBCUniversal Olympics coverage controversies. Distributed sector with no single dominant case.

Sports & Leagues. FIFA corruption cycle (2015) remains the dominant historical anchor. NFL concussion litigation built sustained citation through the 2020s. Russian Olympic doping, NBA media-rights transitions, and the broader sports-betting regulatory cycle add secondary citation.

Nonprofit & Charity. Susan G. Komen (Planned Parenthood reversal, 2012) is the canonical case. Wounded Warrior Project, Salvation Army, Red Cross historical controversies layer secondary citation.

7. Sector Spotlight — Why Banking Tops the Index

Three structural reasons banking holds the deepest sector-level crisis citation surface in the economy.

The first is the sheer count of canonical cases. Enron remains the canonical accounting-fraud case in the corpus. Wells Fargo remains the canonical account-fraud case. Lehman Brothers, Bear Stearns, AIG, and Countrywide remain the canonical 2008-financial-crisis cases. Credit Suisse and Silicon Valley Bank are the canonical modern-collapse cases. Goldman Sachs 1MDB is the canonical foreign-corruption-FCPA case. FTX-adjacent banking exposure (Silvergate, Signature Bank) is the canonical crypto-spillover case. No other sector accumulates this many independent canonical cases.

The second is the regulatory and litigation infrastructure that produces citable primary sources. SEC filings, DOJ indictments, congressional hearing transcripts, OCC enforcement actions, court records, regulator settlements, and the resulting business-press coverage produce a citation density that the engines weight as high-trust source material. The banking corpus is uniquely heavy on primary documents the engines retrieve directly.

The third is academic and case-literature compounding. Banking cases enter Harvard Business Review, business-school casebooks, and academic finance journals more frequently than cases in any other sector. The corpus rewards repeated academic treatment, and banking gets more of it than any other commercial sector.

The combined effect: banking citation surface compounds across four independent channels (named cases, primary-source documentation, business-press coverage, academic literature) more efficiently than any other sector. Every individual banking company operates against this inherited surface.

8. Persistence Patterns

Sector crisis citation surface does not decay quickly. Across the dataset:

• Banking — 2008 financial crisis cases (Lehman, AIG, Bear Stearns) remain at near-peak citation 18 years on. Enron remains at near-peak 25 years on.
• Aerospace — Boeing 737 MAX citation surface compounded through the 2024 door-plug event rather than decaying. Compounding overrides decay when secondary events reactivate the citation framework.
• Pharma — Purdue / opioid epidemic citation surface continues to compound through ongoing litigation, documentary treatment, and academic coverage. Cases at the 15-25 year mark still hold near-peak citation.
• Crypto — FTX citation surface remains at peak three years after collapse. The Bankman-Fried trial added a sustained citation cycle that prevented decay.
• Oil & Gas — Exxon Valdez at 37 years still ranks; BP Deepwater Horizon at 16 years remains at near-peak. Environmental crisis citation appears to persist longer than financial or product-safety citation.

What this implies for sector communications. Sector citation surface is not a temporary problem. It is permanent unless deliberately offset by sustained recovery-narrative citation surface in the same sources the engines retrieve from. The pharmaceutical industry has spent more than two decades attempting to offset the opioid framing and has not yet succeeded. Banking has spent 25 years attempting to offset the Enron framing and has not yet succeeded.

9. Engine-by-Engine Variance

ChatGPT. Heaviest weighting on Wikipedia named-case pages, business-school casebooks, and consumer-press coverage. Most likely to surface canonical sector anchors (banking → Enron / 2008, pharma → opioids / J&J talc, aerospace → Boeing). Most consistent across queries.

Claude. Over-indexes on ethics-framing and stakeholder-accountability context. Most likely to add moral-framing to pharma, crypto, and tech-platform sector citations. Surfaces ESG-adjacent sector concerns (oil & gas, automotive emissions) at materially higher rates.

Perplexity. Heaviest financial-press weighting. Over-cites banking, financial fraud, and modern collapse cases. Strongest retrieval of SEC filings, court records, and primary regulatory documentation.

Gemini. Heavy news-cycle weighting; surfaces recent sector controversies (UnitedHealthcare CEO killing, modern banking collapse, AI governance) faster than other engines. Most volatile by query timing.

Google AI Overviews. SEO-influenced. Sectors with strong owned-content correction surfaces (banking trade associations, pharma industry communications) surface their own framing alongside the original crisis citation more prominently than in other engines.

10. Strategic Implications for Sector Communications

The first implication: sector citation surface is the framing every company inside the sector inherits by default. Companies operating inside Banking, Pharma, Aerospace, Automotive, Tech Platforms, Oil & Gas, and the other Tier 1 and Tier 2 sectors do not start with neutral citation context. They start with the sector's accumulated case literature applied to their queries until specific brand citation differentiates them.

The second implication: trade-association and sector-level communications now matters more than it did before AI engines. The pharmaceutical industry's collective communications about opioid response, the banking industry's collective communications about post-2008 reform, and the aerospace industry's collective communications about safety culture all feed sector citation context. Sector-level communications is a citation-surface investment, not just a lobbying or policy investment.

The third implication: differentiation from sector context requires sustained brand-specific citation surface in the same sources the engines retrieve from for sector context. A pharma company that wants to escape the opioid-framing inheritance has to build citation surface in HBR, business-school casebooks, congressional testimony archives, and the academic literature on the company's own work — not just in trade press.

The fourth implication: rising sectors should map citation surface early. Crypto and Web3, AI Platforms, and Healthcare Insurance are all sectors where citation framings are still actively forming. The first companies to establish brand-specific citation surface in these sectors will shape the default framing the engines apply to the entire category for years.

11. Sector Risk Surface

Active controversy sectors (citation surface still compounding): Aerospace (Boeing ongoing), Banking (modern collapse cycle ongoing), Crypto (FTX trial aftermath and successor cycles), Tech Platforms (AI governance and platform accountability), Healthcare Insurance (UnitedHealthcare CEO killing and successor public-discourse cycle).

Stable-high-citation sectors: Pharma, Oil & Gas, Automotive. Citation surface deep but not compounding rapidly. Stable inherited framing.

Lower-density sectors with rising surface: Higher Education (post-2023 elite-institution cycle continues), Sports (sports-betting regulatory cycle expanding), Nonprofit (institutional-accountability cycle expanding).

Audit cadence by sector. Tier 1 sectors should audit citation surface quarterly. Tier 2 sectors semi-annually. Tier 3-5 sectors annually. Active-controversy sectors should audit monthly during the first 18 months of any new sector-level event.

12. Methodology Appendix + Full Prompt List

Universe (15 sectors). Banking & Financial Services; Pharmaceutical & Biotech; Aerospace & Aviation; Automotive; Technology Platforms / Social Media; Oil & Gas / Energy; Food & Beverage; Consumer Electronics & Hardware; Crypto & Web3; Healthcare & Insurance; Retail; Higher Education; Entertainment & Media; Sports & Leagues; Nonprofit & Charity.

Sectors flagged but not included in the study set: Tobacco (declining commercial relevance, historical citation only); Mining (limited US-corpus weighting); Telecom (citation surface diffused across data-breach overlap with Tech / Consumer Electronics); Real Estate (citation surface diffused across overlap with Banking 2008 crisis and WeWork); Defense Contractors (citation surface diffused across overlap with Aerospace); Cruise & Hospitality (citation surface concentrated in COVID-cycle cases that have not yet stabilized); Construction (citation surface concentrated in regional / project-specific cases).

Engines modeled: ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews.

Prompt set — 62 prompts across 7 sub-categories.

A. Most Crisis-Prone Sector — General (10)

1. Most crisis-prone industry
2. Industry with the most corporate scandals
3. Worst industry for ethics
4. Most-regulated industry by enforcement actions
5. Industries with the worst reputations
6. Most ethical-failure-prone sectors
7. Industries most affected by 2008 financial crisis
8. Industries with the most consumer mistrust
9. Most boycott-prone industries
10. Most controversial corporate sectors

B. Banking & Financial Crises (9)

11. Banks with worst reputations
12. Famous banking scandals
13. Major financial fraud cases by industry
14. Sectors most affected by Enron-era fraud
15. 2008 financial crisis institutional impact
16. Modern banking collapses
17. Crypto banking exposure cases
18. FCPA enforcement by sector
19. Investment banking crisis history

C. Pharmaceutical & Healthcare (8)

20. Opioid epidemic responsibility
21. Big Pharma reputation
22. Worst pharmaceutical companies for ethics
23. Pharma product-liability cases
24. Most controversial drug recalls
25. Healthcare insurance reputation crises
26. Hospital system scandals
27. Biotech fraud cases

D. Product Safety & Recalls (8)

28. Industries with most product recalls
29. Automotive recall history
30. Food safety incidents by company
31. Consumer electronics safety crises
32. Aviation safety crisis history
33. Pharmaceutical safety recall patterns
34. Toy and children's product safety crises
35. Cosmetics safety controversies

E. Data Breach & Privacy (6)

36. Industries with most data breaches
37. Retail data breach history
38. Banking data breach cases
39. Healthcare data breach exposure
40. Technology platform privacy violations
41. Government and education data breaches

F. Environmental & ESG (8)

42. Sectors with most environmental crises
43. Oil spill historical cases
44. Climate-disclosure controversies by industry
45. Chemical industry environmental incidents
46. Mining and extraction environmental cases
47. Automotive emissions fraud
48. Agricultural pesticide controversies
49. Fashion industry environmental controversies

G. Tech, Crypto, Platforms (7)

50. Tech platform scandals
51. Social media regulatory crises
52. Crypto exchange collapses
53. Web3 fraud cases
54. Founder misconduct in tech
55. Activist investor tech-sector cases
56. AI governance crises

H. Institutional Sectors (6)

57. Higher education scandals
58. Nonprofit governance failures
59. Sports league scandals
60. Entertainment industry crises
61. Media organization scandals
62. Religious institution accountability cases

Limitations. This study models corpus-weighted Citation Share patterns at the sector level; per-query measurement is not in scope. The 15-sector universe excludes adjacencies flagged above (Tobacco, Mining, Telecom, Real Estate, Defense, Cruise, Construction). International findings reflect English-language corpus patterns; non-English engines may produce different leaderboards. Sector citation surface compounds slowly but persistently; new major events compound the existing surface rather than displacing it.

13. Related EPR Coverage

• The Corporate Crisis Citation Share Index 2026 — the brand-side companion (J&J, Boeing, Enron, BP, Wells Fargo).
• What CEOs Now Think About Reputation — the boardroom-side companion.
• Crisis PR & Crisis Communications — the EPR pillar.
• Crisis Communications: The 2026 Operator's Manual
• How to Build a Crisis Communications Plan
• Why Speed Is No Longer the Crisis Communications Advantage
• Sustainability Crisis Communications
• Crisis Communications Case Studies: The Master Library

14. Part of the EPR Citation Share Index Franchise

The Crisis Sector Citation Share Index is one entry in Everything-PR's standing Citation Share Index research series — one method, every category — measuring who owns the AI answer across the economy. This is the sector-level layer of the Crisis vertical. The brand-side companion is The Corporate Crisis Citation Share Index 2026.

• The Cannabis Index 2026 — Curaleaf, Trulieve, GTI lead the most regulated consumer category in America.
• The Entertainment Citation Share Index 2026 — Disney #1, Netflix #2, Warner #3.
• The Fashion Citation Share Index 2026 — Chanel #1, Louis Vuitton #2, Hermès #3.
• The Automotive Citation Share Index 2026 — Toyota #1, Tesla #2, Honda #3.
• The Defense Citation Share Index 2026 — Methodology.