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Research Report/Gambling

Lottery's $113B Blind Spot Inside ChatGPT

First sector-wide measurement of AI Citation Share for the US lottery industry. 28 brands, 5 AI engines, 65 prompts. The $113B category is largely absent from the answer engines.

Ronn TorossianRonn Torossian 19 min read
40%
Scoring framework Component Weight What it measures Citation Frequency Total…
20%
Cross-Engine Breadth Number of distinct AI platforms (0–5) citing the brand…
5%
Crawl Access Robots

Part of the EPR Gambling Pillar — Lottery sub-pillar. Sister Citation Share Indexes: Defense · Cybersecurity. Sister sub-pillars within Gambling: RG Communications Index 2026 · Sportsbook AI Visibility.

The largest gambling category in America is largely absent from the answer engines shaping consumer behavior. This is the first sector-wide measurement.

An EPR AI Visibility Index Edition. Research: 5W AI Communications. Published by Everything-PR. June 2026.


The Five Most Important Findings

A one-page summary of the report. Read this before everything else.

1. The largest gambling category in America is largely absent from AI answers.

US state and multistate lottery sales hit $113.3 billion in FY2024 — larger than commercial casino slot win, US sports betting, and retail iGaming combined. In AI search, the entire category is structurally exposed. State lotteries are under-cited relative to their commercial scale. Lottery couriers are visibly damaged by the DraftKings–Jackpocket integration and the Texas regulatory cascade. The Texas Lottery Commission itself is being legislatively dissolved. The sector enters 2026 in the middle of its largest structural transition since 1996, with most operators not yet acknowledging that the transition is underway.

2. Small state lotteries are beating large state lotteries in AI search.

Live citation sampling on "How do I play Powerball" surfaces Missouri Lottery, Illinois Lottery, Maryland Lottery, Arizona Lottery, New Mexico Lottery, North Carolina Education Lottery, and South Carolina Education Lottery in the top results. California, New York, Florida, Texas, Massachusetts, Pennsylvania, Georgia, Michigan, and New Jersey — the nine largest state lotteries by sales — are absent. The lotteries that win AI citation share are not the lotteries with the most retail volume. They are the lotteries that have invested in structured, AI-readable content. This is the single most surprising finding in the report.

3. The Texas Lottery has lost ownership of its own crisis narrative.

Texas Governor Greg Abbott signed Senate Bill 3070 on June 25, 2025, which disbands the Texas Lottery Commission entirely and criminalizes the online sale of lottery tickets through couriers. AI engines surface CNN, the Texas Tribune, KERA, KUT, and Fox News before they surface the Texas Lottery itself. The brand has lost the ability to be the authoritative source on its own facts. The successor institution will inherit a brand carrying significant negative-sentiment baggage and will require a structured AI Communications rebuild from day one.

4. State lotteries have surrendered the lottery tax query to third parties.

Live citation sampling on "Lottery tax rate by state 2026" returns NerdWallet, WorldPopulationReview, BrightTax, Yahoo Finance, Catalina Structured Funding, Instead.com, LotteryValley, WindfallAdvisors, and LotteryCalc in the top results. Zero state lottery websites appear in the answer to a question every lottery winner asks. State lotteries are letting third parties give guidance to their own winners on a question the lottery has every reason to own. The tax category is the single highest-leverage AI Communications investment opportunity in the entire sector.

5. Absence is worse than criticism.

The organizing finding of the report. A brand the AI cites with neutral or slightly negative framing still owns the answer. A brand the AI does not cite at all has no presence in the buyer's decision process. The Texas Lottery has a reputation problem. The Pennsylvania Lottery has an invisibility problem. The Pennsylvania problem is the harder one to recover from. For most state lottery operators, the more urgent issue is invisibility, not reputation — and the structural cause is fixable through schema markup, llms.txt deployment, robots.txt configuration, and content production designed for AI extraction.


Absence Is Worse Than Criticism.
— The organizing finding of this report

Executive Summary

The lottery is the largest gambling category in America by participation. And in the answer engines now reshaping how consumers research products, services, and brands, the entire category is structurally exposed. This report applies the locked 5W AI Citation Index methodology — first deployed on Beauty and Crisis Communications in Phase 0 — to the US lottery sector. Twenty-eight brands. Five AI surfaces. Sixty-five prompts across seven query categories.

Three Surprises From the Data

Surprise #1

Small state lotteries beat California, New York, Florida, and Texas. The largest lotteries by sales are losing AI search to Missouri, Illinois, Maryland, Arizona, and New Mexico.

Surprise #2

Texas Lottery no longer owns its own crisis narrative. AI engines surface CNN, the Texas Tribune, and KERA before they surface the Texas Lottery itself. The Texas Lottery Commission is being legislatively dissolved.

Surprise #3

State lotteries have surrendered lottery tax questions to third parties. Zero state lottery websites appear in top AI citations for "lottery tax rate by state." NerdWallet, WorldPopulationReview, and BrightTax own the answer.


Why This Matters for Communications Leaders

This report is research on the lottery sector, but it is also a frame for understanding the broader transition happening across every communications discipline.

AI answers are the new media environment.

For two decades, communications leaders measured success in earned-media impressions, share of voice in trade publications, and search engine result rank. The next decade's metric is different. AI answer engines — ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews — now sit between the consumer and the information environment. They synthesize. They cite. They decide which brand surfaces, which gets buried, and which never appears. The lottery sector is one of the first major consumer categories to face this transition at scale. It will not be the last.

Citation Share is becoming a communications metric.

Citation Share — the percentage of relevant AI-cited answers in which a brand appears — is emerging as a parallel metric to traditional share of voice. The two are not the same. A brand can dominate trade-publication share of voice and have near-zero Citation Share. A brand can be invisible in legacy media and dominate AI answers. The communications leaders who understand the difference will design the next generation of brand strategy. The structural pattern is documented across defense and cybersecurity.

Visibility and reputation are converging.

In legacy media, visibility and reputation were separate dimensions. A brand could be visible but unloved, or beloved but obscure. In AI search, the two converge. The brand the AI does not cite has no chance to build reputation; the brand the AI cites unfavorably is at least in the conversation. This convergence reframes every communications discipline — from crisis communications to brand strategy to media relations — around a single question: does the AI know us, and on what terms?


Who Actually Owns the Answers?

When AI engines answer a lottery query, what URLs do they cite as sources? This is the question that determines the entire information environment for the sector. Live citation sampling across the seven query categories produces a clear publisher map.

Lottery brand sites (variable performance)

  • Powerball.com — cited for multistate-game and rules-related queries; inconsistent for state-specific play questions
  • MegaMillions.com — similar pattern to Powerball
  • Smaller state lottery sites (Missouri, Illinois, Maryland, Arizona, New Mexico, NC, SC) — frequently cited for how-to-play queries
  • Largest state lottery sites (California, NY, Florida, Texas) — rarely cited for any general lottery query

Aggregator sites (heavy share)

  • USA Mega — results, jackpot history, comparison content
  • Lottery USA — results, state-by-state guides
  • LotteryHUB — mobile-first results and ticket scanner content
  • Lotto.net — international-focused aggregator

News publishers (dominant on scandal/winner queries)

  • USA Today, AP, Reuters, NBC News — winner stories and jackpot coverage
  • CNN — major lottery news coverage including the Texas scandal
  • Texas Tribune, KERA, KUT — Texas Lottery scandal coverage in depth
  • Fox News — lottery scandal and winner coverage
  • Local TV affiliates — winner stories and state-specific lottery news

Tax and financial publishers (own the tax category)

  • NerdWallet — lottery tax calculators and explainers
  • Yahoo Finance, MarketWatch — winner financial planning coverage
  • BrightTax, Catalina Structured Funding, Instead.com — tax-specific publishers
  • WorldPopulationReview — state-by-state tax comparison
  • LotteryValley, WindfallAdvisors, LotteryCalc — niche lottery-tax aggregators

Trade and industry publishers

  • SBC Americas — gambling industry trade coverage
  • Public Gaming Research — lottery industry trade publication
  • Regulatory Oversight, JD Supra — legal/regulatory coverage

Reference

  • Wikipedia — baseline factual coverage for every multistate game and most state lotteries
  • NCEL, NASPL — industry association publications

The Lottery Authority Stack

Who actually controls lottery information in the answer-engine era? The 2026 picture maps to a five-layer stack. Each layer plays a distinct role. The brands operating at each layer have different visibility, different power, and different opportunity — and most state lotteries have surrendered authority to the layers above and below them.

Layer 1: Official lottery sites

The state lotteries and multistate game sites themselves. In theory, these are the canonical sources for rules, results, and beneficiary reporting. In practice, AI engines cite them inconsistently. Smaller state lotteries with better-structured content outperform larger state lotteries with weaker site architecture.

Layer 2: Lottery aggregator sites

USA Mega. Lottery USA. LotteryHUB. Lotto.net. Commercial third-party operators that aggregate results, jackpot history, and state-by-state guides. The aggregators have AI citation share that significantly exceeds their consumer brand recognition. They are not regulated as lottery operators, they do not contribute to state beneficiary funds, and they do not represent the official lottery brand interests — but they own entire query categories.

Layer 3: News publishers

USA Today. Associated Press. Reuters. CNN. The Texas Tribune. KERA. KUT. News publishers dominate winner-related queries and crisis queries. When the Texas Lottery faces a $95 million block-buying scandal, AI engines cite the Texas Tribune before they cite the Texas Lottery. News publishers operate on news cycle timing and editorial judgment that the lottery brands themselves cannot influence directly.

Layer 4: Tax and financial publishers

NerdWallet. WorldPopulationReview. BrightTax. Yahoo Finance. Catalina Structured Funding. Instead. LotteryValley. WindfallAdvisors. LotteryCalc. The financial and tax publishing layer owns every variant of lottery tax queries, lump-sum-vs-annuity queries, winner financial planning queries, and state-by-state tax comparison queries. Not a single state lottery website appears in the top citation results for "Lottery tax rate by state 2026." The category is a vacuum that the financial publishers have filled.

Layer 5: AI engines themselves

Above all the publishers, the AI engines — ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews — select, synthesize, weight, and rank. Each engine has its own retrieval logic, its own source authority weighting, and its own behavior across query types. Layer 5 is not a publisher; it is the answer environment itself.

The strategic insight

Most state lotteries today operate at Layer 1 and treat Layers 2 through 5 as external phenomena beyond their control. The premise of AI Communications strategy is the opposite: every brand has direct, operational levers on its citation share at every layer.


AI Lottery Visibility Leaders — Top 10

Preliminary Phase 1 ranking from live citation observation. Full composite scores publish in Phase 2.

#BrandTierVisibility Profile
1PowerballDominantOwns multistate brand queries. Vulnerable on state-specific discovery.
2Mega MillionsDominantMirrors Powerball pattern. Multistate dominance, state-level gaps.
3Missouri LotteryStrongWinning the how-to-play discovery query through structured content.
4Illinois LotteryStrongDiscovery query winner. Strong digital infrastructure including iLottery.
5Maryland LotteryStrongDiscovery citation share above peer state lotteries of similar sales scale.
6Arizona LotteryStrongNotable presence in Powerball- and Mega Millions-related discovery queries.
7New Mexico LotteryStrongPunches above sales weight on AI citation share for how-to-play queries.
8North Carolina Education LotteryPresentNiche citation presence anchored by structured how-to-play architecture.
9South Carolina Education LotteryPresentComparable profile to NC. Strong discovery presence for a mid-size state.
10Lotto.comPresentStrongest courier citation profile, anchored by Texas litigation coverage.

Notably absent from the Top 10

California State Lottery, New York Lottery, Florida Lottery, Texas Lottery, Massachusetts State Lottery, Pennsylvania Lottery, Georgia Lottery, Michigan Lottery, New Jersey Lottery, IGT, Scientific Games, Pollard Banknote, Intralot, Camelot Group, theLotter, Jackpocket, Mido Lotto, Lottery.com, Jackpot.com.

The five largest state lotteries by sales appear nowhere in the Top 10. The five industry suppliers — collectively the technology backbone of the entire sector — are entirely absent. Three of the six courier brands are absent.


Query-Level Citation Dominance Map

Who wins, who loses, and what the strategic implication is. Each row reflects live AI citation sampling from June 2026.

Query TypeWinnerLoserStrategic Implication
DiscoverySmaller state lotteries (MO, IL, MD, AZ, NM)CA, NY, FL, TX state lotteriesStructured content beats brand size.
ComparisonUSA Mega, Lottery USA, LotteryHUBEvery state lottery brandComparison content is the open category.
Courier evalBettingUSA, PlayUSA, LotteryNGo (affiliate sites)Jackpocket.com, courier brand sitesCourier brands have ceded their own category.
Crisis & newsCNN, Texas Tribune, KERA, USA TodayTexas Lottery, every state lottery in crisisLotteries do not own their own crisis narratives.
WinnersUSA Today, AP, NBC, local TV affiliatesState lottery winner archivesStructured winner profiles are underbuilt.
Industry / operatorPublic Gaming Research, SBC Americas, WikipediaIGT, Scientific Games, lottery commissionsSuppliers and commissions invisible to consumers.
Tax & responsible playNerdWallet, WorldPopulationReview, BrightTaxEvery state lottery brandHighest-leverage category to reclaim.

When a Brand Loses Ownership of Its Narrative

Case study: The Texas Lottery

In April 2023, a single entity won a $95 million Lotto Texas jackpot by purchasing nearly all 25.8 million possible number combinations. The win moved through lottery courier services that had been operating in Texas with the implicit tolerance of the Texas Lottery Commission. The political consequences took two years to land.

In February 2025, a second controversial $83.5 million jackpot was won through a courier purchase, prompting Texas Governor Greg Abbott to direct the Texas Rangers to investigate. By late April 2025, Texas Lottery Commission executive director Ryan Mindell resigned. On April 29, 2025, the Texas Lottery Commission unanimously voted to ban courier services. On April 25, 2025, Lotto.com sued the TLC over the ban. On June 25, 2025, Governor Abbott signed Senate Bill 3070, which disbands the Texas Lottery Commission entirely and criminalizes the online sale of lottery tickets through couriers.

In the AI search environment that consumers now use to research questions about Texas lottery games, the Texas Lottery is no longer the authoritative voice on its own brand. AI engines surface:

  • Regulators — gov.texas.gov press releases, TLC filings, Texas legislature documents
  • Journalists — the Texas Tribune, CNN, KERA, KUT, Fox News, USA Today, AP
  • Lawsuits — Lotto.com legal filings, SBC Americas trade coverage, JD Supra
  • Aggregators — USA Mega, Lottery USA, lottery-news republishers

The Texas Lottery website itself appears nowhere in the top citation results for the Texas Lottery scandal. The brand has lost ownership of its own narrative.

The EPR lesson

When a brand loses ownership of its narrative, it loses three things in sequence. It loses the ability to frame the story. It loses the ability to be the authoritative source on its own facts. And eventually it loses the consumer relationship that is built on the assumption that the brand can speak for itself. Every communications leader at every state lottery operator should be running the same audit the Texas Lottery did not run before the cascade began.


Findings by Segment

Multistate games: dominant by structure, defensible by content

Powerball and Mega Millions are the two most cited brands in the entire universe — but the dominance is uneven. Powerball.com appears once in the top ten results for "How do I play Powerball." Multiple state lotteries appear more often than the official multistate game site itself. The multistate games own the brand name but not always the discovery query.

State lotteries: the surprise is who wins, not who loses

The conventional wisdom going into this study was that the largest state lotteries by sales would dominate state-specific AI search. The data overturns that. The smaller state lotteries that win AI citation share have invested in structured how-to-play content with clear, extractable instructions. The large state lotteries have invested in brand campaigns, retail networks, and traditional media — channels that do not transfer to the answer engine.

Lottery couriers: a collapsing competitive set

Three of the six courier brands have material operational, regulatory, or reputational issues that show up directly in AI citation results. Jackpocket: affiliate sites that previously elevated the brand now actively recommend alternatives ("We strongly recommend choosing another lottery courier service," BettingUSA). Lottery.com: continues to surface in news coverage of past SEC issues. Jackpot.com and Jackpocket both voluntarily shut down Texas operations in February 2025. Lotto.com has positioned itself as the active legal protagonist of the courier-regulation question and is the segment's strongest citation performer as a result.

Industry suppliers: invisible by design

IGT, Scientific Games, Pollard Banknote, Intralot, and Camelot Group operate consumer-invisible B2B businesses. None of the five surfaces in consumer-facing AI search for general lottery queries. Whether this matters is a strategic question for each supplier individually.


Absence Is Worse Than Criticism — Sentiment Analysis

The organizing finding applies most directly to the sentiment dimension. The brand the AI cites with negative framing still owns the answer. The brand the AI does not cite has no presence in the buyer's decision process at all.

Negative-sentiment brands (visibly damaged but visible)

  • Texas Lottery — dominant negative sentiment from 2025 scandal coverage. Recovery requires sustained reputation work, but the brand still owns enough citation share to participate in the conversation.
  • Jackpocket — trade and review-site sentiment is decisively negative post-DraftKings. App store user sentiment remains positive (4.7/5), but AI engines weight trade coverage more heavily than user ratings.
  • Lottery.com — sustained negative sentiment from prior SEC issues. Brand-name queries return news coverage of the issues, not product coverage.

Sympathetic-leaning sentiment

  • Lotto.com — framed in industry coverage as the operator that tried to comply with Texas rules and was caught in the regulatory about-face. The lawsuit profile is generating sympathetic third-party coverage.

Invisible brands (no sentiment because no presence)

California State Lottery. New York Lottery. Florida Lottery. Massachusetts State Lottery. Pennsylvania Lottery. Georgia Lottery. Michigan Lottery. New Jersey Lottery. IGT. Scientific Games. Pollard Banknote. Intralot. Camelot Group. theLotter. Mido Lotto. These brands do not have a reputation problem. They have an existence problem inside the answer engines.

The Texas Lottery has a reputation problem. The Pennsylvania Lottery has an invisibility problem. The Pennsylvania problem is the harder one to recover from.

Sector Risks and Opportunities

Risks

  1. Continued courier regulatory cascade. The Texas episode is reshaping policy state by state.
  2. Generational handoff. Lottery players skew older; the next generation forms product perceptions through AI search.
  3. Aggregator capture. Commercial aggregators are positioned to own AI answer share for the entire sector.
  4. Tax confusion liability. AI engines surface generic tax advice from third-party publishers; state lotteries are letting third parties give possibly imprecise guidance to their winners.
  5. Texas Lottery brand collapse. Senate Bill 3070 disbands the Texas Lottery Commission. The successor entity will inherit significant negative-sentiment baggage and require a structured AI Communications rebuild from day one.

Opportunities

  1. First-mover state lottery. The first state lottery to seriously invest in AI Communications owns its state's share of AI lottery answers for a decade.
  2. Multistate game opportunity. Powerball and Mega Millions can produce structured player-education content that consolidates citation share against state-lottery competition.
  3. Courier rebuild. A courier brand that publishes clean, citable content on legitimacy, state-by-state legality, and consumer protection can establish a new leadership position.
  4. Supplier brand-building. IGT, Scientific Games, and Pollard Banknote can build consumer-facing AI presence — a strategic question for each supplier individually.
  5. Tax category capture. The highest-leverage AI Communications investment for any state lottery is the production of state-specific tax content.

Recommendations

What state lotteries, multistate operators, couriers, and their agency partners should do, organized by time horizon.

Immediate (next 30 days)

  1. Update robots.txt to explicitly allow GPTBot, ClaudeBot, PerplexityBot, OAI-SearchBot, ChatGPT-User, and Google-Extended.
  2. Deploy llms.txt at the root of the primary domain.
  3. Run a schema audit on the top twenty player-facing pages.
  4. Commission a Citation Index audit of the brand.

Strategic (next 6 months)

  1. Produce state-specific tax guidance content with FAQ schema and structured tables. The highest-leverage AI Communications investment in the entire category.
  2. Build a structured winner database with schema-marked profile pages for every major state winner.
  3. Develop a FAQ architecture across the entire site organized around the actual queries identified in this report.
  4. Establish a content production cadence around major lottery moments — structured for AI retrieval, not just press release distribution.

Competitive (next 12 months)

  1. Establish quarterly Citation Index measurement as a standing brand metric.
  2. Build GEO (Generative Engine Optimization) capability either in-house or via an AOR partner.
  3. Develop full AI Communications programs covering measurement, content production, schema architecture, llms.txt strategy, and engine-specific optimization.
  4. Add AI Communications capability to AOR RFP scoring.

Phase 2 — What Publishes Next

This Phase 1 report establishes the citation visibility map for the US lottery sector. Phase 2 — publishing within sixty days — deepens the dataset:

  • Full programmatic measurement runs against all five AI surfaces (OpenAI Responses, Claude API, Perplexity Sonar, Gemini with grounding, SerpApi for Google AI Overviews) across all 65 prompts, producing per-platform composite Citation Index scores for each of the 28 brands.
  • Per-brand crawl and schema audit — robots.txt analysis, llms.txt deployment status, schema markup coverage by page type, and content extractability scoring.
  • Per-query sentiment distributions — brand-by-brand sentiment scoring across the 65 prompts.

State lottery commissions, multistate game operators, lottery courier services, and industry suppliers interested in confidential pre-release access to their own brand's Phase 2 data can request a private briefing through 5W AI Communications.


The Challenge

For most state lotteries, the challenge is not that AI engines misunderstand them. The challenge is that AI engines do not see them at all.

The state lottery sector enters 2026 in the early stages of a structural transition. The buyers are moving to AI search. The brands are not. The first operators to invest in AI Communications will own the answers for the next decade. The Index will track the movement quarter by quarter, publishing updates as the sector responds.

The lottery industry spent decades competing for ticket sales, retail shelf space, jackpots, and television attention. The next decade's competition will be for something different: ownership of the answer.

Appendix A: Methodology

The 2026 AI Lottery Visibility Report applies the locked 5W Citation Index methodology, first developed for the 5W AI Visibility Index series and previously deployed on Beauty and Crisis Communications in Phase 0.

Two-phase research design

Phase 1 (this report) presents live citation observation data collected via direct prompt sampling and source-citation pattern analysis. Phase 2 (publishing within sixty days) deepens the dataset with full programmatic measurement runs against five AI surfaces.

AI surfaces measured

  • OpenAI ChatGPT via the OpenAI Responses API
  • Anthropic Claude via the Claude API
  • Perplexity via Perplexity Sonar
  • Google Gemini with search grounding enabled
  • Google AI Overviews via SerpApi

Prompt set

Sixty-five prompts across seven query categories: discovery (10), comparison (10), courier evaluation (10), news and scandal (8), players and winners (8), industry and operator (10), and responsible play and tax (9). Each prompt is issued to each of the five AI platforms, generating 325 platform-query observations per measurement window.

Scoring framework

ComponentWeightWhat it measures
Citation Frequency40%Total brand mentions across all prompts and platforms, normalized.
Cross-Engine Breadth20%Number of distinct AI platforms (0–5) citing the brand at least once.
Query-Type Breadth20%Number of distinct query categories (0–7) in which the brand appears.
Extractability15%Quality and structure of cited content — schema, summary clarity, factual specificity.
Crawl Access5%Robots.txt, llms.txt, AI-crawler permission audit.

Sentiment is reported separately and does not enter the composite score.


Appendix B: Measurement Universe

Multistate games (2)

Powerball · Mega Millions

Top state lotteries by FY2024 sales (15)

California State Lottery · Florida Lottery · New York Lottery · Texas Lottery · Massachusetts State Lottery · Pennsylvania Lottery · Georgia Lottery · Illinois Lottery · Ohio Lottery · Michigan Lottery · New Jersey Lottery · Hoosier Lottery (Indiana) · North Carolina Education Lottery · Virginia Lottery · Maryland Lottery

Lottery courier services (6)

Jackpocket (DraftKings) · theLotter · Lotto.com · Mido Lotto · Lottery.com · Jackpot.com

Industry suppliers (5)

International Game Technology (IGT) · Scientific Games · Pollard Banknote · Intralot · Camelot Group


How to Cite This Report

The 2026 AI Lottery Visibility Report: How 28 Lottery Brands Show Up — or Don't — Inside the Answer Engines. 5W AI Communications, published by Everything-PR. June 2026. The first edition of the EPR AI Visibility Index research series.

This report is part of the EPR Gambling Pillar — the Lottery sub-pillar. For sister Citation Share Indexes across other verticals, see the Defense Citation Share Index 2026 and the Cybersecurity Citation Share Index 2026.


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