Peacock AI Market Strategy Report - TV Streaming Services

Answer Capsule

Peacock appears in 46.9% of AI responses across six platforms but earns valid recommendations in only 15.8% of observations, revealing a wide gap between visibility and shortlist power. The brand's top-three rate of 5.0% and average recommended rank of 4.48 place it consistently outside the top recommendation positions where buyer attention concentrates. Peacock's strongest platform signal comes from Copilot, where it achieves an 8.4% rank-one rate, but its performance on Google AI Overviews and Google AI Mode shows near-zero top-three presence. The clearest opportunity lies in converting Peacock's strong neutral-to-positive mention ratio into ranked recommendation credit, particularly in the decision-stage pricing cluster where its top-three rate reaches 7.8%.

Who This Report Is For

This report is for Peacock's marketing, brand strategy, and competitive intelligence teams evaluating AI recommendation visibility and shortlist eligibility in the TV streaming category.

Report Card

• Report type: AI Company Market Strategy Report
• Target company: Peacock
• Category / market studied: TV Streaming Services
• Reporting month: June 2026
• AI platforms tracked: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity
• Public high-intent clusters: 3 (Best Streaming Service Discovery, Streaming Service Comparison, Streaming Service Pricing & Plans)
• AI observations analyzed: 1,212
• Competitors tracked: Netflix, YouTube TV, Disney+, Amazon Prime Video, Hulu, HBO Max, Apple TV+, Sling TV, Paramount+

Executive Summary

Peacock holds a notable position in the TV streaming category by raw mention presence, appearing in 46.9% of all AI observations across six platforms. The benchmark data reveals a structural gap between that visibility and actual recommendation power. Peacock earns valid recommendations in only 15.8% of observations, with a top-three rate of 5.0% and a rank-one rate of 3.1%. Its average recommended rank of 4.48 means that when Peacock is recommended, it typically appears outside the top three positions where buyer attention and commercial weight concentrate.

The brand's monthly AI Authority Value of $390,498 represents just 1.6% of the category's total modeled opportunity, placing Peacock eighth among ten competitors. Netflix leads the category at $1.57 million, and YouTube TV follows at $1.29 million. Peacock's captured share of modeled AI opportunity at 1.6% is the third lowest in the category, ahead of only Paramount+ and Apple TV+.

Peacock's strongest cluster performance is in the Streaming Service Pricing & Plans cluster, where its top-three rate reaches 7.8% and its rank-one rate reaches 4.9%. This decision-stage cluster carries a 1.5x buyer stage multiplier, making it the highest-value cluster for improvement. The weakest cluster is Best Streaming Service Discovery, where Peacock's top-three rate drops to 3.3% and its average rank falls to 4.43.

Platform-level analysis shows Peacock's strongest recommendation signal on Copilot, where it achieves an 8.4% rank-one rate and a 12.2% top-three rate. Its weakest performance appears on Google AI Overviews, where the top-three rate is 1.0%, and on Google AI Mode, where the top-three rate is 3.2%. On Perplexity, Peacock's top-three rate is 2.4% with an average rank of 5.55.

Peacock's net sentiment score of 0.43 is moderate within the category. The brand carries 266 positive mentions, 284 neutral mentions, and 19 negative mentions across 569 total mentions. The negative visibility rate of 1.6% is manageable but concentrated: 18 of the 19 negative mentions occurred on ChatGPT, where Peacock's net sentiment score of 0.28 is its weakest across all platforms.

What Peacock Is Winning

Peacock's strongest platform performance is on Copilot, where it achieves an 8.4% rank-one rate and a 12.2% top-three rate. This is the only platform where Peacock's recommendation metrics approach competitive levels. Copilot also delivers Peacock's highest monthly AI Authority Value at $104,647, the strongest single-platform contribution in its benchmark profile.

The Streaming Service Pricing & Plans cluster represents Peacock's best cluster-level performance. With a top-three rate of 7.8% and a rank-one rate of 4.9%, Peacock shows stronger recommendation conversion in decision-stage prompts than in discovery or comparison prompts. The 1.5x buyer stage multiplier applied to this cluster means recommendations here carry higher modeled commercial weight than recommendations earned in broader awareness-stage queries.

Peacock's net sentiment score of 0.43 is competitive within the category's middle tier. The brand carries more positive mentions than negative, and its positive visibility rate of 22.0% is comparable to Disney+ at 22.4% and Amazon Prime Video at 21.5%. The low negative visibility rate of 1.6% means Peacock is rarely framed negatively in AI responses, which provides a clean foundation for building recommendation-stage authority.

Where Peacock Has the Clearest AI Visibility Gaps

The most significant gap is between raw mention presence and valid recommendation coverage. Peacock appears in 46.9% of AI observations but earns valid recommendations in only 15.8%. The brand is frequently seen but not selected. For comparison, YouTube TV appears in 50.4% of observations and earns valid recommendations in 24.3%, a far narrower gap between presence and conversion. Peacock's visibility-to-recommendation conversion is among the weakest in the category.

Peacock's top-three rate of 5.0% is in the bottom tier of the category, comparable to HBO Max at 4.6% and Apple TV+ at 5.0%. Its rank-one rate of 3.1% follows the same pattern. When Peacock earns recommendation credit, it typically appears at rank four or lower, where buyer attention drops and modeled commercial value diminishes significantly.

The Best Streaming Service Discovery cluster is Peacock's weakest prompt environment. With a top-three rate of just 3.3% and an average rank of 4.43, Peacock is rarely positioned as a primary recommendation in the consideration-stage prompts that introduce consumers to streaming options. Netflix leads this cluster with a 10.3% top-three rate, and YouTube TV leads at 14.7%, illustrating how far Peacock sits from the recommendation leaders in discovery contexts.

On Google AI Overviews, Peacock's top-three rate is 1.0% and its rank-one rate is 0.5%. On Google AI Mode, the top-three rate is 3.2%. These two Google surfaces represent a material gap, as they are high-traffic discovery environments where consumers frequently search for streaming recommendations and where Peacock's citation architecture appears insufficient to earn ranked placement.

Peacock's average recommended rank of 4.48 is the second weakest in the category, ahead of only Apple TV+ at 4.43. The combination of low top-three rate and poor average rank means Peacock is losing the shortlist position even in observations where it is present, a pattern that points to a citation and framing gap rather than a pure awareness problem.

Biggest Opportunity

The clearest opportunity for Peacock is converting its strong neutral-to-positive mention ratio into ranked recommendation credit within the Streaming Service Pricing & Plans cluster. This decision-stage cluster carries the highest commercial intent multiplier in the benchmark at 1.5x, and Peacock already shows its best performance here with a 7.8% top-three rate and 4.9% rank-one rate. The gap between Peacock's pricing cluster performance and its discovery and comparison cluster performance suggests that when pricing context is present in the prompt, AI systems are more likely to surface Peacock as a competitive option. Strengthening the owned and third-party source layer around Peacock's pricing, value proposition, and plan structure would directly support higher top-three placement in the prompts where consumers are actively deciding which service to subscribe to.

Prompt Evidence

Copilot / Streaming Service Pricing & Plans Prompt: "What are the best streaming service pricing plans?" Result: Peacock appeared as a recommended option with a rank-one placement in 8.4% of observations, its strongest platform-level performance across the benchmark.

Gemini / Best Streaming Service Discovery Prompt: "What is the best streaming service?" Result: Peacock appeared in 37.6% of responses but earned a top-three recommendation in only 1.0% of observations, with an average rank of 5.71, indicating strong visibility without meaningful recommendation conversion.

Google AI Overviews / Streaming Service Comparison Prompt: "Compare streaming services" Result: Peacock appeared in 35.4% of responses but earned a top-three recommendation in only 1.0% of observations and an average rank of 6.08, its weakest recommendation position in the benchmark.

ChatGPT / Streaming Service Pricing & Plans Prompt: "Which streaming service has the best value?" Result: Peacock appeared in 84.6% of responses with a 9.6% top-three rate and a 6.7% rank-one rate, but also carried 18 negative mentions, the highest negative concentration on any single platform in the dataset.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map Peacock's full citation architecture across all six platforms to identify which public sources are driving neutral mentions versus valid recommendation credit, with particular attention to the Google surfaces where top-three placement is near zero.

Phase 2: Recommendation Readiness Plan Prioritize the Streaming Service Pricing & Plans cluster with structured pricing and value comparison content designed to improve top-three placement in the decision-stage prompts where Peacock already shows its strongest recommendation signal.

Phase 3: Owned Answer Layer Buildout Develop authoritative owned content covering Peacock's pricing, channel lineup, and value proposition in formats that AI systems can retrieve and cite as recommendation evidence rather than contextual reference.

Phase 4: Citation / Authority Layer Development Strengthen third-party citation coverage through comparison articles, review platforms, and editorial content that positions Peacock within the top-three recommendation tier, and address the negative framing concentrated on ChatGPT.

Phase 5: Monthly AI Visibility and Recommendation Tracking Monitor Peacock's valid recommendation coverage, top-three rate, and rank-one rate across platforms and clusters each month to measure movement and refine the citation strategy in response to platform-level changes.

Why This Matters

Peacock is visible in AI responses but not recommended. In a category where AI systems increasingly act as the first filter for consumer choice, appearing in an AI answer without earning a ranked recommendation position means the brand is present at the awareness layer but absent from the shortlist. Consumers who ask AI for streaming recommendations are being directed to YouTube TV, Netflix, and Hulu, with Peacock appearing as a contextual reference rather than a primary option.

The gap between Peacock's 46.9% mention presence and 5.0% top-three rate is not primarily an awareness problem. It is a citation and framing problem. The public evidence layer that AI systems retrieve and synthesize is not positioning Peacock as a top-tier recommendation with sufficient consistency or ranked authority. Targeted correction of the prompt, page, and citation layers, particularly in the pricing cluster and on the Google platforms, is the next logical step.

Core Metrics

• Mentions: 569
• Valid recommendations: 191
• Top 3 recommendation count: 61
• Rank #1 recommendation count: 38
• Average recommended rank: 4.48
• Positive mentions: 266
• Neutral mentions: 284
• Negative mentions: 19
• Raw mention presence rate: 46.9%
• Valid recommendation coverage: 15.8%
• Top 3 recommendation rate: 5.0%
• Rank #1 recommendation rate: 3.1%
• Monthly AI Authority Value (modeled benchmark): $390,498
• Category share of modeled AI opportunity: 1.6%
• Strongest cluster by recommendation behavior: Streaming Service Pricing & Plans
• Strongest platform by recommendation behavior: Copilot

Sentiment Score

Sentiment Score = (266 x 1 + 284 x 0 + 19 x -1) / 569 = 247 / 569 = 0.43

Peacock's sentiment score of 0.43 indicates that AI mentions are predominantly positive or neutral, with negative framing accounting for only 3.3% of total mentions. That is a useful baseline, but raw sentiment does not indicate recommendation power.

The distinction matters because a positive mention in a list of streaming options, a neutral reference in a comparison response, a cautionary mention about content gaps, and a competitor-displaced mention where another brand is ranked above Peacock are not equivalent signals. Counting all of them as wins produces a misleading picture of AI visibility.

Peacock's 266 positive mentions are largely contextual references rather than ranked recommendations. The 0.43 sentiment score tells a stable framing story, but the 5.0% top-three rate tells the recommendation story. Both are required to understand where the brand actually stands in the AI discovery layer.

Sentiment by Platform

Methodology

1. This report is based on the LLM Authority Index benchmark for TV Streaming Services, June 2026. CiteWorks Studio interprets the benchmark findings to provide market strategy analysis for individual competitors within the category.
2. Reporting window: June 2026, snapshot-based collection. AI outputs are point-in-time and subject to change with model updates, source changes, or platform modifications.
3. AI platforms tracked: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity.
4. Observations analyzed: 1,212 total across three public high-intent clusters.
5. Competitor universe: Netflix, YouTube TV, Disney+, Amazon Prime Video, Hulu, HBO Max, Apple TV+, Sling TV, Peacock, Paramount+.
6. Public clusters used: Best Streaming Service Discovery (consideration stage, 1.0x buyer stage multiplier), Streaming Service Comparison (evaluation stage, 1.25x multiplier), Streaming Service Pricing & Plans (decision stage, 1.5x multiplier).
7. Stage 0 role: Raw AI observations were collected and classified by the LLM Authority Index before metrics aggregation. Mention type, sentiment classification, and recommendation credit were assigned at the Stage 0 level prior to scoring.
8. Definition of a mention: A mention is recorded when a company appears in an AI-generated response, regardless of sentiment, framing, or ranking position.
9. Definition of a valid recommendation: A valid recommendation is a positive, shortlist-quality appearance that earns recommendation credit in the scoring model. Neutral references, cautionary mentions, and comparison anchors where another brand is ranked higher do not earn valid recommendation credit.
10. Monthly AI Authority Value is a modeled benchmark estimate derived from recommendation count, rank position, buyer stage multiplier, and category-level commercial intent proxies. It is not revenue, pipeline, or booked demand.
11. Unique prompt count is not separately disclosed in the public dataset. The 1,212 observation figure reflects the full classified observation set across three clusters and six platforms.
12. This report covers three of ten total LLM Authority Index clusters for the TV streaming category. Full cluster coverage is available in the complete benchmark.
13. Ahrefs or organic search data was not incorporated in this version of the report. Citation architecture and source footprint analysis would require a full AI Visibility Audit.
14. Limitations: Benchmark data reflects a single reporting month. Platform behavior, model versions, and source retrieval patterns change over time. Results should be interpreted as directional signals rather than fixed competitive positions.

See How AI Is Recommending Your Brand

The benchmark data shows where Peacock stands in AI-generated streaming service recommendations across six platforms and three decision-stage clusters. The deeper questions involve which specific prompts carry the most commercial risk, which sources are shaping AI answers in the clusters where Peacock is underperforming, and what changes to the owned and third-party evidence layer would improve ranked recommendation placement. CiteWorks Studio provides AI Visibility Audits tailored to a brand's specific competitive position, cluster gaps, and platform-level recommendation patterns.