Peacock AI Market Strategy Report - TV Streaming Services

Answer Capsule

Peacock holds 25.0% valid recommendation coverage in the September 2026 LLM Authority Index AI Market Discovery benchmark for TV Streaming Services, ranking seventh of ten tracked brands. The brand is visible but under-recommended: its raw mention presence rate is 82.42%, yet only 2.47% of qualified observations place it in a top-three recommendation and just 1.10% place it first. The clearest win is broad presence across nearly every tracked surface; the clearest weakness is that presence is not converting into shortlist placement. The clearest opportunity is closing the gap between being mentioned and being chosen in high-intent discovery prompts.

Who This Report Is For

This report is for streaming category executives, brand and growth leads, and content and partnerships teams responsible for how Peacock appears when buyers ask AI systems which streaming service to choose.

Report Card

Executive Summary

Peacock is present in the category conversation but is not converting that presence into recommendation-stage visibility. The September 2026 benchmark recorded a 25.0% valid recommendation coverage rate for Peacock, seventh among ten tracked brands, with 182 valid recommendations across 728 qualified observations. Its raw mention presence rate was 82.42%, meaning the brand appears in the large majority of qualified answers, but only 2.47% of those observations placed it in a top-three recommendation and only 1.10% placed it first.

The gap between presence and recommendation is the defining signal. Peacock's mention presence rose from 78.1% in July 2026 to 82.4% in September 2026, yet its valid recommendation coverage fell from 28.2% to 25.0% over the same period, a decline of 3.2 points. Its top-three rate fell from 4.5% to 2.5%, and its rank-one rate eased from 1.5% to 1.1%. The brand is being mentioned more often while being recommended near the top of the list less often.

September was the largest single-month decline in the category. Peacock fell from 28.4% coverage in August 2026 to 25.0% in September 2026, a drop of 3.4 points that reversed the prior month's slight uptick. The benchmark classified the movement as stable rather than unusual, and the category as a whole was described as quiet, with all ten tracked brands stable. Even so, the direction and the presence-versus-placement split make Peacock the clearest diagnostic case in the September dataset.

The strongest cluster is the only cluster with qualified observations. All 728 qualified observations in September 2026 fell into the Brand Recommendation class, covering general discovery prompts such as which streaming service is best. The Pricing and Value and Multi-Brand Comparison classes recorded zero qualified observations in July, August, and September 2026, so the benchmark does not yet measure how Peacock performs in price-sensitivity or head-to-head comparison prompts.

The strongest platform signal for Peacock is Copilot, where its rank-one rate was 7.14% and its valid recommendation coverage was 30.95%, both above its category-wide averages. The weakest platform signal is Gemini, where Peacock recorded a 0.00% rank-one rate, a 1.06% top-three rate, and an average recommended rank of 7.24. Perplexity also recorded a 0.00% rank-one rate for Peacock, and AI Overviews recorded a 0.00% rank-one rate with a 1.08% top-three rate.

The clearest gap is between Peacock and the category's recommendation leaders. Netflix recorded a 17.72% top-three rate and a 16.35% rank-one rate on 26.51% coverage, meaning it converts a similar coverage level into far more first-choice placements. HBO Max recorded a 14.56% top-three rate on 28.85% coverage. Peacock's 25.0% coverage produced a 2.47% top-three rate, which is the placement gap this report focuses on.

What Peacock Is Winning

Questions This Section Answers

• Where does Peacock actually convert AI visibility into recommendation strength?
• How positive is Peacock's framing across its AI mentions?

Peacock's evidence-backed wins are narrow but real. The brand holds broad presence: an 82.42% raw mention presence rate in September 2026, up from 78.1% in July 2026, which means it is part of the answer set in the large majority of qualified observations. Presence at that level is a prerequisite for recommendation and is not shared by every tracked brand. Sling TV, for comparison, recorded a 67.58% presence rate and Apple TV+ recorded 73.76%.

Peacock's net sentiment score was 0.39 in September 2026, a positive framing score. Its positive mention count was 250 against 16 negative mentions and 334 neutral mentions. Negative framing is a small share of its total mentions, and the brand is not carrying a reputational drag in the dataset.

Copilot is Peacock's strongest platform by recommendation behavior. On Copilot, Peacock recorded a 30.95% valid recommendation coverage rate, a 7.14% rank-one rate, and a 2.71 average recommended rank, all better than its category-wide figures. That is a meaningful pocket of recommendation strength on a single surface.

Peacock also recorded the highest positive visibility rate among the lower-coverage brands on Perplexity, at 35.87%, alongside a 0.52 net sentiment score on that surface. The brand is framed positively where it appears on Perplexity even though it is rarely placed first there.

Beyond these, the wins are limited. Peacock does not lead any cluster, does not lead any platform on coverage or rank-one rate, and does not hold a top-three position in the category standings on any primary benchmark metric.

Where Peacock Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Why does Peacock's 82.42% mention presence produce so few top-three placements?
• Which AI surfaces account for most of Peacock's presence-to-recommendation gap?
• What does the absence of qualified Pricing and Value and Multi-Brand Comparison observations mean for Peacock and pricing or head-to-head prompts?

Peacock's clearest gap is recommendation conversion, not presence. The brand is mentioned in 82.42% of qualified observations but receives valid recommendation credit in only 25.0% of them, and top-three placement in only 2.47%. The distance between those numbers is where competitor displacement is happening.

Netflix is the sharpest contrast. Netflix recorded 26.51% valid recommendation coverage, only 1.5 points above Peacock, but converted that coverage into a 17.72% top-three rate and a 16.35% rank-one rate. Peacock's comparable coverage produced a 2.47% top-three rate and a 1.10% rank-one rate. Similar coverage levels are hiding very different first-position outcomes, and Peacock sits on the weak side of that split.

HBO Max shows a second version of the same gap. HBO Max recorded 28.85% coverage with a 14.56% top-three rate and a 3.43% rank-one rate. Disney+ recorded 27.61% coverage with a 13.32% top-three rate. Both brands convert coverage into top-three placement at roughly five to six times Peacock's rate.

The platform layer shows where the displacement concentrates. On Gemini, Peacock recorded a 0.00% rank-one rate, a 1.06% top-three rate, and an average recommended rank of 7.24 across 94 observations. On Perplexity, Peacock recorded a 0.00% rank-one rate and a 0.00% top-three rate across 92 observations, with an average recommended rank of 7.86. On AI Overviews, Peacock recorded a 0.00% rank-one rate and a 1.08% top-three rate across 186 observations. These are surfaces where Peacock is present as context rather than as a recommendation.

The cluster layer is a structural gap rather than a performance gap. The benchmark's Pricing and Value and Multi-Brand Comparison classes recorded zero qualified observations across all three months. Peacock therefore has no measured position in price-sensitivity or head-to-head comparison prompts, even though pricing and bundling are central to competition in this category. The brand cannot currently see whether it wins or loses those moments.

The month-over-month direction adds urgency. Peacock's coverage fell 3.4 points from August to September 2026, the largest single-month decline in the category, while its presence rate rose. The brand is being mentioned more and recommended less, which is the opposite of the pattern Netflix and YouTube TV recorded over the same window.

Biggest Opportunity

Questions This Section Answers

• Which AI surfaces offer Peacock the shortest path from mention to top-three placement?
• Where exactly is Peacock's presence failing to convert into shortlist placement?

Peacock's single biggest opportunity is converting its existing mention presence into top-three recommendation placement in the Brand Recommendation cluster. The brand already appears in 82.42% of qualified answers, so the discovery layer is largely built. The gap is in the placement layer: 2.47% top-three rate against 25.0% coverage means most of Peacock's mentions are reference or context rather than shortlist.

The highest-value path is the surfaces where Peacock is present but not placed. Gemini, Perplexity, and AI Overviews together account for 372 of the 728 qualified observations and produced a combined rank-one rate near zero for Peacock. These are surfaces where the brand is already retrievable and already mentioned, which makes them the shortest distance from reference to recommendation. Improving placement on surfaces where Peacock is already visible is a narrower and more tractable problem than building presence from scratch.

Competitive Landscape

Questions This Section Answers

• How does Peacock's top-three conversion compare with Netflix, HBO Max, and Disney+ at similar coverage levels?
• Where does Peacock rank against the ten tracked brands on placement metrics?

Netflix holds the strongest recommendation-stage position in the category, leading on top-three rate, rank-one rate, and average recommended rank. Hulu leads on coverage, and HBO Max and Disney+ hold the strongest top-three conversion among the mid-coverage brands. Peacock sits in the lower half of the table on placement metrics despite mid-pack coverage.

Average recommended rank covers rank-eligible recommendations only.

Peacock ranks ninth of ten on top-three rate and eighth of ten on rank-one rate, while its 25.0% coverage sits seventh. The table shows a brand that is mentioned at a mid-pack rate but placed near the bottom of the list when it is recommended at all.

Prompt Evidence

ChatGPT / Brand Recommendation Prompt: "best streaming service" Result: Peacock recorded a 1.06% top-three rate and a 1.06% rank-one rate on ChatGPT, with an average recommended rank of 6.50 across 94 observations.

Gemini / Brand Recommendation Prompt: "What is the best streaming service?" Result: Peacock recorded a 0.00% rank-one rate and a 1.06% top-three rate on Gemini, with an average recommended rank of 7.24, placing it well outside the shortlist.

Perplexity / Brand Recommendation Prompt: "Which streaming service is currently the best?" Result: Peacock recorded a 0.00% rank-one rate and a 0.00% top-three rate on Perplexity across 92 observations, appearing as context rather than as a recommendation.

Copilot / Brand Recommendation Prompt: "What are the best TV streaming services?" Result: Peacock recorded a 7.14% rank-one rate and a 30.95% valid recommendation coverage rate on Copilot, its strongest placement surface in the dataset.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map Peacock's prompt-level outcomes across all six tracked surfaces to isolate exactly which discovery prompts produce mentions without placement, and which competitors take the top-three slot when Peacock is mentioned but not recommended.

Phase 2: Recommendation Readiness Plan Prioritize the Gemini, Perplexity, and AI Overviews surfaces, where Peacock is already present but records near-zero rank-one placement, and define the placement targets for each.

Phase 3: Owned Answer Layer Buildout Strengthen the pages and content assets that answer the category's core discovery prompts, so the attributes AI systems associate with Peacock match the attributes that drive shortlist placement.

Phase 4: Citation and Authority Layer Development Develop the public evidence layer, including third-party comparisons, category roundups, and source pages, that AI systems appear to retrieve when forming top-three recommendations in this category.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Peacock's coverage, top-three rate, rank-one rate, and average recommended rank month over month against the same competitor set, so placement movement is visible before it shows up in coverage.

Why This Matters

AI systems are now where a meaningful share of streaming buyers form their shortlist. A brand that is mentioned in 82.42% of answers but placed in the top three in only 2.47% of them is losing the decision at the moment it is made, not at the moment of discovery. Presence without placement is a reference, not a recommendation.

The next move is targeted correction of the prompt, page, and citation layers that shape placement. Peacock does not need to rebuild its presence in this category. It needs to close the gap between being named and being chosen, starting with the surfaces where it is already visible and already framed positively.

Core Metrics

Sentiment Score

Questions This Section Answers

• Why does a 0.39 net sentiment score look different from Peacock's raw mention count?
• How much of Peacock's mention base is neutral reference rather than advocacy?

Sentiment Score = (positive mentions × 1 + neutral mentions × 0 + negative mentions × -1) / total mentions

For Peacock in September 2026, that is (250 × 1 + 334 × 0 + 16 × -1) / 600, which produces a net sentiment score of 0.39.

This score matters because unclassified mention counts are misleading. A brand with 600 mentions could look strong on a share-of-voice chart while most of those mentions are neutral references rather than recommendations. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal outcomes, and counting them all as wins is bad measurement.

Peacock's 0.39 score reflects a mention base that is majority neutral. Of 600 mentions, 334 were neutral, 250 were positive, and 16 were negative. The brand is not being framed negatively, but most of its appearances are factual or contextual rather than advocacy. Classified sentiment is required before interpreting AI visibility, because it separates a brand that is being recommended from a brand that is merely being listed.

Sentiment by Platform

Methodology

1. This report is a benchmark-based analysis of Peacock's position in the September 2026 LLM Authority Index AI Market Discovery Index for TV Streaming Services. It is not a client result and does not describe work performed by CiteWorks Studio.
2. The reporting window is September 2026, with July 2026 and August 2026 as comparison points across a three-month series.
3. Six canonical AI and search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. Keyword variants were rolled up into their canonical families.
4. The September 2026 run began with 800 source prompt-surface observations and produced 728 qualified observations after qualification. July 2026 produced 727 qualified observations and August 2026 produced 697.
5. The competitor universe contained ten tracked brands: Netflix, Amazon Prime Video, Apple TV+, Disney+, HBO Max, Hulu, Paramount+, Peacock, Sling TV, and YouTube TV.
6. Three public high-intent clusters were defined: Best TV Streaming Services (consideration), TV Streaming Service Comparisons (evaluation), and TV Streaming Service Pricing and Plans (decision). Only the Best TV Streaming Services cluster contained qualified observations in the September 2026 series.
7. A mention is counted when Peacock appears anywhere in a qualified AI or search answer, regardless of placement or framing.
8. A valid recommendation is counted when Peacock appears in a recommendation position that the dataset marks as valid. Neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations.
9. Top-three rate and rank-one rate are calculated against the 728 qualified observations, not the 800 raw prompts. Average recommended rank covers rank-eligible recommendations only.
10. Brand-level percentages use the qualified observation set as the public denominator. The raw collection includes prompts that were irrelevant or reserved.
11. The September 2026 benchmark classified the category as quiet, and no brand's month-over-month movement was flagged as unusual. Individual recommendation counts for several brands are small relative to the qualified set, so a change of a few valid recommendations can produce a multi-point movement. Small-count movements should be treated as directional.
12. The benchmark measures brand-recommendation discovery only in the current public series. It does not measure market share, attributable sales, organic search ranking, or private and sponsored channels, and a movement in a metric alone does not establish causality.

See Where Peacock Stands in AI Recommendations

The public benchmark shows where Peacock is mentioned and where it is placed. A company-level AI visibility audit maps the specific prompts, surfaces, competitors, and evidence sources behind those outcomes, and shows which high-intent questions represent the shortest path from mention to recommendation.