DraftKings AI Market Strategy Report - Online Betting Sites

Answer Capsule

DraftKings leads the online betting category with the highest AI Authority Value at $1.21 million per month, appearing in 35.5% of all AI observations and earning 80 valid recommendations. The brand dominates evaluation-stage prompts with a rank-one rate of 7.3% and a top-three rate of 11.1%, making it the most consistently recommended operator across AI platforms. DraftKings captures 1.6% of the total $76.2 million monthly AI opportunity, the highest share among all competitors tracked. The clearest weakness is a net sentiment score of 0.344, indicating room to improve the positive framing quality of its public evidence layer. The clearest opportunity is to convert its strong visibility assist value into higher recommendation value by strengthening the citation architecture that supports rank-one placement.

Who This Report Is For

This report is for DraftKings marketing, brand strategy, and competitive intelligence teams evaluating the brand's AI recommendation position against FanDuel, bet365, Hard Rock Bet, and other operators in the online betting category.

Report Card

• Report type: AI Company Market Strategy Report
• Target company: DraftKings
• Category / market studied: Online Betting Sites
• Reporting month: June 2026
• AI platforms tracked: ChatGPT, Gemini, Copilot, Perplexity, Google AI Mode, Google AI Overviews
• Public high-intent clusters: 3 (Best Sports Betting and Fantasy Sports Platforms, Sports Betting Platform Comparisons, Sports Betting Platform Pricing, Fees and Offers)
• AI observations analyzed: 966
• Competitors tracked: 9 (FanDuel, bet365, Hard Rock Bet, BetMGM, Fanatics Sportsbook, BetRivers, ESPN Bet, Caesars Sportsbook, Bally Bet)

Executive Summary

DraftKings holds the strongest overall AI recommendation position in the online betting category. With a monthly AI Authority Value of $1.21 million, it leads all operators in total recommendation-stage value. The brand appears in 343 of 966 observations, a raw mention presence rate of 35.5%, and earns 80 valid recommendations, the second-highest count behind FanDuel's 84.

The benchmark shows DraftKings performing best in evaluation-stage prompts, where bettors actively compare platforms. In the Sports Betting Platform Comparisons cluster, DraftKings achieves a rank-one rate of 7.3% and a top-three rate of 11.1%, both category-leading figures. Its average recommended rank of 1.675 across all observations indicates strong placement quality when the brand receives a valid recommendation.

DraftKings earns 122 positive mentions against 217 neutral and 4 negative mentions, producing a net sentiment score of 0.344. This is a positive result but not the category-leading framing score. Hard Rock Bet achieves 0.411 and Fanatics Sportsbook achieves 0.536, which suggests DraftKings has room to improve the proportion of positive framing within its public evidence layer.

The brand's strongest platform signal comes from ChatGPT, where it achieves a rank-one rate of 6.8% and a top-three rate of 8.5%. Its weakest platform signal is Google AI Mode, where the rank-one rate falls to 1.4% despite a raw mention presence rate of 28.8%. This gap between visibility and recommendation conversion on Google AI Mode is the largest platform-level discrepancy in the dataset.

DraftKings leads in the decision-stage cluster (Pricing, Fees and Offers) with a rank-one rate of 3.3% and a top-three rate of 5.2%, outperforming FanDuel's 1.9% and 4.4% in that cluster. Pricing and offer prompts carry a 1.5x buyer stage multiplier and represent $22.9 million in monthly opportunity value, making this cluster commercially significant.

What DraftKings Is Winning

Strongest overall AI Authority Value. DraftKings leads the category with $1.21 million in monthly AI Authority Value, ahead of FanDuel at $1.03 million and bet365 at $1.05 million. Critically, DraftKings' value is driven by recommendation value ($410,488) rather than visibility assist. bet365's comparable total is almost entirely visibility assist, which means it is present in AI responses without earning recommendation-stage credit at the same rate.

Dominance in evaluation-stage prompts. In the Sports Betting Platform Comparisons cluster, DraftKings achieves a rank-one rate of 7.3% and a top-three rate of 11.1%, both category-leading. This cluster carries a 1.25x buyer stage multiplier and represents $28.9 million in monthly opportunity value.

Strongest rank-one rate in decision-stage prompts. In the Pricing, Fees and Offers cluster, DraftKings achieves a rank-one rate of 3.3%, nearly double FanDuel's 1.9%. This is the highest-intent cluster in the dataset and the one most directly connected to bettor acquisition decisions.

Consistent platform coverage across four platforms. DraftKings achieves rank-one rates above 5.5% on ChatGPT (6.8%), Copilot (6.7%), Perplexity (5.6%), and Google AI Overviews (5.7%). No other operator in the benchmark matches this breadth of strong rank-one performance across multiple platforms.

Highest monthly AI Recommendation Value in the category. DraftKings earns $410,488 in monthly AI Recommendation Value, nearly double FanDuel's $228,493 and well ahead of every other operator tracked. This means DraftKings is not only visible but is converting that visibility into recommendation credit more efficiently than its closest competitor.

Where DraftKings Has the Clearest AI Visibility Gaps

Google AI Mode recommendation gap. DraftKings appears in 28.8% of Google AI Mode observations but achieves only a 1.4% rank-one rate and a 3.4% top-three rate. This is the most significant gap between visibility and recommendation conversion across all platforms in the dataset. The brand is present in Google AI Mode responses but is not being placed at the top of ranked shortlists. Google AI Mode represents $15.8 million in monthly opportunity value, and DraftKings is currently capturing only $216,682 of that.

Net sentiment score below two direct challengers. DraftKings' net sentiment score of 0.344 trails Hard Rock Bet (0.411) and Fanatics Sportsbook (0.536). The high volume of neutral mentions, 217 out of 343 total, is the primary drag. Neutral mentions do not produce recommendation credit. The concentration of neutral framing suggests parts of DraftKings' public evidence layer are being synthesized by AI systems as reference material rather than as positive endorsement.

Consideration-stage rank-one rate behind FanDuel. In the Best Sports Betting and Fantasy Sports Platforms cluster, DraftKings achieves a rank-one rate of 3.4%, trailing FanDuel's 5.4%. This is the initial discovery phase where bettor shortlists are first formed, and FanDuel is winning the first-position slot more often at that stage.

Copilot visibility assist dependency. On Copilot, DraftKings earns $121,981 in visibility assist value compared to $93,171 in recommendation value. The visibility assist share is proportionally higher on Copilot than on ChatGPT or Perplexity, which suggests some Copilot responses include DraftKings as a listed reference without placing it in a ranked recommendation position.

Narrow lead over FanDuel in recommendation volume. FanDuel earns 84 valid recommendations to DraftKings' 80, and FanDuel's top-three rate of 8.0% slightly edges DraftKings' 7.8%. The two brands are in near parity for recommendation volume, and small changes in source quality or citation architecture on either side could shift the balance.

Biggest Opportunity

Convert DraftKings' high visibility on Google AI Mode into ranked recommendations. The brand appears in 28.8% of Google AI Mode observations but earns a rank-one rate of only 1.4%, the largest visibility-to-recommendation gap in the dataset across any platform. Google AI Mode represents $15.8 million in monthly opportunity value. DraftKings is currently capturing $216,682 of that. The source types and citation patterns that Google AI Mode uses to construct ranked shortlists are different from those that drive strong performance on ChatGPT or Perplexity. Strengthening the citation architecture and framing quality of the sources that Google AI Mode retrieves could convert existing visibility into rank-one placement without requiring additional brand awareness investment.

Prompt Evidence

ChatGPT / Sports Betting Platform Comparisons Prompt: "Compare DraftKings and FanDuel sportsbook features" Result: DraftKings appears in the top position with a rank-one rate of 7.3% in this cluster, the highest of any operator in the evaluation-stage category.

Google AI Mode / Best Sports Betting and Fantasy Sports Platforms Prompt: "What are the best sports betting platforms?" Result: DraftKings is mentioned in 28.8% of responses but achieves a rank-one rate of only 1.4%, the clearest example of visibility without recommendation conversion in the dataset.

Perplexity / Sports Betting Platform Pricing, Fees and Offers Prompt: "Which sportsbook has the best sign-up bonus?" Result: DraftKings achieves a rank-one rate of 5.6% and a top-three rate of 10.6%, performing strongly in this high-intent decision-stage cluster.

Copilot / Sports Betting Platform Comparisons Prompt: "List the top sports betting apps for US users" Result: DraftKings appears in 29.3% of responses with a rank-one rate of 6.7%, but visibility assist value ($121,981) exceeds recommendation value ($93,171), suggesting a share of Copilot responses list DraftKings without placing it in a ranked first position.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompts and source patterns where DraftKings is mentioned but not ranked, starting with Google AI Mode, where the visibility-to-recommendation gap is the largest in the dataset.

Phase 2: Recommendation Readiness Plan Identify the source types and citation patterns that drive FanDuel's higher rank-one rate in consideration-stage prompts and build a structured plan to match or exceed that placement performance.

Phase 3: Owned Answer Layer Buildout Develop structured, AI-retrievable content for pricing pages, feature comparisons, and trust signals to improve the proportion of positive framing within DraftKings' public evidence layer and reduce neutral mention dependency.

Phase 4: Citation and Authority Layer Development Strengthen third-party validation from comparison articles, editorial reviews, and user review platforms to move the net sentiment score from 0.344 toward the range achieved by Hard Rock Bet and Fanatics Sportsbook.

Phase 5: Monthly AI Visibility and Recommendation Tracking Monitor rank-one rates, top-three rates, and recommendation value by platform and cluster on a monthly basis to measure the effect of citation architecture improvements over time.

Why This Matters

DraftKings holds the strongest AI recommendation position in the online betting category, but the margin over FanDuel is narrow and the market is still forming. The $76.2 million monthly AI opportunity represents real bettor decisions being shaped by AI-generated shortlists across six platforms. DraftKings currently captures 1.6% of that value. The remaining 98.4% is being distributed among competitors or going uncaptured.

The difference between being mentioned and being recommended is the difference between appearing on a shortlist and being chosen from it. DraftKings has the visibility foundation. The next move is to convert that visibility into higher rank-one rates, particularly on Google AI Mode, and to improve the positive framing quality of the public evidence layer that AI systems draw on when constructing ranked recommendations.

Core Metrics

• Mentions: 343
• Valid recommendations: 80
• Top 3 recommendation count: 75
• Rank 1 recommendation count: 46
• Average recommended rank: 1.675
• Positive mentions: 122
• Neutral mentions: 217
• Negative mentions: 4
• Raw mention presence rate: 35.5%
• Valid recommendation coverage: 8.3%
• Top 3 recommendation rate: 7.8%
• Rank 1 recommendation rate: 4.8%
• Strongest cluster by recommendation behavior: Sports Betting Platform Comparisons (rank-one rate 7.3%)
• Strongest platform by recommendation behavior: ChatGPT (rank-one rate 6.8%)

Sentiment Score

Sentiment Score = (122 positive x 1) + (217 neutral x 0) + (4 negative x -1) / 343 total mentions = 0.344

This score means DraftKings' public evidence layer is positively framed 34.4% more often than it is negatively framed, after accounting for neutral mentions. While this is a solid result, it trails Hard Rock Bet (0.411) and Fanatics Sportsbook (0.536). The primary drag is the high volume of neutral mentions: 217 out of 343 total.

Neutral mentions are not recommendation credit. A bettor who sees a neutral reference to DraftKings in an AI response is less likely to act than one who sees a positive, ranked recommendation. Counting all mentions as wins overstates the brand's actual recommendation influence. Improving the proportion of positive to neutral mentions in the public evidence layer is a direct path to higher recommendation value, and it is a more efficient lever than increasing raw visibility further.

Sentiment by Platform

Methodology

1. This report is a benchmark-based AI Company Market Strategy Report. It is not a client implementation case study and does not reflect a CiteWorks Studio engagement with DraftKings.
2. The reporting window is June 2026, based on a point-in-time snapshot of AI-generated responses across tracked platforms.
3. Platforms tracked: ChatGPT, Gemini, Copilot, Perplexity, Google AI Mode, and Google AI Overviews.
4. Total observations analyzed: 966, distributed across three public high-intent prompt clusters.
5. Competitor universe: FanDuel, bet365, Hard Rock Bet, BetMGM, Fanatics Sportsbook, BetRivers, ESPN Bet, Caesars Sportsbook, and Bally Bet. This universe may not include all regional or emerging operators active in the category.
6. Prompt clusters used: Best Sports Betting and Fantasy Sports Platforms (consideration stage), Sports Betting Platform Comparisons (evaluation stage), and Sports Betting Platform Pricing, Fees and Offers (decision stage).
7. Observations were collected using a structured Stage 0 extraction methodology in which AI platforms were queried with defined prompts representing real buyer behavior across the three clusters.
8. A mention is defined as any appearance of the company name in an AI-generated response, regardless of framing, rank, or context.
9. A valid recommendation is a positive, shortlist-quality, or ranked recommendation that earns recommendation credit in the dataset. Neutral references, cautionary mentions, and comparison-anchor appearances are not counted as valid recommendations.
10. Modeled values including AI Authority Value, AI Recommendation Value, and AI Visibility Assist Value are benchmark estimates based on cluster opportunity modeling. They are not revenue figures, pipeline projections, or financial guarantees.
11. Unique prompt count was not available in the public version of this dataset. The 966 figure represents total observations across all clusters and platforms.
12. AI outputs are non-deterministic and change with model updates, source retrieval shifts, and content changes. This report reflects conditions observed during the June 2026 reporting window and should be treated as a snapshot, not a permanent baseline.

See How AI Is Recommending Your Brand

The benchmark shows the shape of the market. A company-specific analysis reveals which prompts your brand wins or loses, which platforms are under-recognizing your brand relative to competitors, which source layers are shaping current recommendations, and what changes may improve shortlist eligibility at the decision moment. CiteWorks Studio maps where your brand appears, where competitors are being recommended instead, which prompts carry the most commercial risk, and what needs to change to convert visibility into recommendation-stage authority.