Peacock AI Visibility Market Strategy Report - TV Streaming Services

Answer Capsule

Peacock holds 38.8% valid recommendation coverage in the October 2026 LLM Authority Index benchmark for TV Streaming Services, ranking third of ten tracked brands and up 10.6 points from the July 2026 baseline. The brand is visible and frequently shortlisted, but it converts that presence into top-three placement far less often than its coverage peers: its top-three rate is 5.4% and its rank-one rate is 1.1%. The clearest win is raw mention presence at 86.9%, the clearest weakness is placement conversion, and the clearest opportunity is closing the gap between shortlist inclusion and first-choice recommendation.

Who This Report Is For

This report is for Peacock's streaming strategy, growth, and brand leadership teams, and for category analysts tracking how AI and search surfaces recommend subscription services at the decision moment.

Report Card

Executive Summary

Peacock is visible but under-recommended. The benchmark shows the brand at 38.8% valid recommendation coverage in October 2026, third in the category behind Hulu at 50.3% and YouTube TV at 45.3%. That coverage is up 10.6 points from the July 2026 baseline of 28.2% and up 13.8 points from September 2026, the largest single-month coverage gain of any brand in the October run.

The gap is not presence. Peacock's raw mention presence rate is 86.9%, up 8.8 points from July 2026, and it recorded 575 present observations out of 662. The brand is being discussed. The problem is where it lands when AI systems form a shortlist.

Placement is the weak signal. Peacock's top-three rate is 5.4% and its rank-one rate is 1.1%, both essentially unchanged from July 2026 (4.5% and 1.5%). Its average recommended rank is 5.35, the lowest of any brand in the category except Apple TV+. The analysis found that Peacock added shortlist inclusions without adding top placement.

Sentiment is healthy. Peacock recorded 300 positive mentions, 272 neutral mentions, and 3 negative mentions, producing a net sentiment score of 0.5165. That is mid-pack in a category where every tracked brand sits between 0.46 and 0.58, so framing quality is not the constraint.

The strongest platform signal is Copilot, where Peacock reached 53.2% valid recommendation coverage and a 0.5316 net sentiment score. The weakest is Gemini, where coverage was 43.3% but top-three rate was 1.1% and rank-one rate was 0.0%. The clearest platform gap is that Peacock's rank-one rate is 0.0% on ChatGPT, Gemini, and Perplexity, meaning the brand is not being named first on three of the six tracked surfaces.

The strongest cluster is Brand Recommendation, the only cluster with qualified observations. Peacock's cluster-level coverage of 38.8% sits 11.5 points behind Hulu and 6.5 points behind YouTube TV in the same cluster. The Pricing and Value and Multi-Brand Comparison clusters recorded no qualified observations this month, so the benchmark cannot yet show how Peacock performs when buyers ask about cost or head-to-head comparisons.

What Peacock Is Winning

Questions This Section Answers

• Where is Peacock actually winning in AI recommendation coverage?
• What does Peacock's Copilot performance show that other platforms do not?

Peacock's clearest win is raw mention presence. At 86.9%, the brand appears in more qualified observations than Sling TV at 70.2% and Apple TV+ at 73.1%, and its 8.8-point gain from July 2026 is a larger movement than Disney+'s. The brand is not being overlooked.

The second win is coverage momentum. Peacock posted the largest single-month coverage gain in the category, moving from 25.0% in September 2026 to 38.8% in October 2026. That 13.8-point move exceeded every other brand's prior-to-current change, including Hulu's 13.2-point gain.

The third win is sentiment stability. With 300 positive mentions against 3 negative mentions, Peacock's framing is positive and consistent. The brand carries no meaningful negative narrative in the qualified set.

The fourth win is Copilot performance. On Copilot, Peacock reached 53.2% valid recommendation coverage, 11.4% top-three rate, and 2.5% rank-one rate, with a net sentiment score of 0.5316. That is the brand's strongest platform showing and the only surface where Peacock's top-three rate reached double digits.

These are real but narrow wins. Peacock is winning attention and shortlist inclusion. It is not winning the first recommendation slot.

Where Peacock Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Why does Peacock convert high mention presence into such low top-three placement?
• Which platforms show the weakest placement profile for Peacock?
• How does Peacock's coverage compare to competitors when top-three rates are considered?

The central gap is placement conversion. Peacock's 38.8% coverage produced a 5.4% top-three rate and a 1.1% rank-one rate. YouTube TV's comparable 45.3% coverage produced a 26.0% top-three rate and a 20.8% rank-one rate. The benchmark explicitly flags this pattern: similar coverage levels can hide very different first-position rates.

The second gap is rank-one absence on three platforms. Peacock recorded a 0.0% rank-one rate on ChatGPT, Gemini, and Perplexity. On Gemini, the brand's top-three rate was 1.1% and its average recommended rank was 6.30, the weakest placement profile of any platform for the brand. On Perplexity, the top-three rate was 2.2% and the average recommended rank was 6.84.

The third gap is competitive displacement at the top. Hulu holds 50.3% coverage and a 28.1% top-three rate. YouTube TV holds 45.3% coverage and a 26.0% top-three rate. Disney+ holds 38.5% coverage and a 23.1% top-three rate. Peacock's coverage sits within 0.3 points of Disney+, but its top-three rate is 17.7 points lower. When AI systems build a shortlist, Peacock is frequently included and rarely placed near the top.

The fourth gap is the cluster structure. All 662 qualified observations fell into the Brand Recommendation cluster. The Pricing and Value and Multi-Brand Comparison clusters recorded no qualified observations, so the benchmark cannot show whether Peacock's placement weakness extends to cost and comparison prompts. The commercial consequence is that the questions most likely to precede a subscription decision are not yet measured.

Biggest Opportunity

Peacock's biggest opportunity is converting shortlist inclusion into top-three placement on ChatGPT, Gemini, and Perplexity, where the brand currently holds a 0.0% rank-one rate.

The benchmark shows Peacock is already being retrieved and mentioned at 86.9% presence. What is missing is the recommendation credit that comes from being named first or second. On Copilot, where Peacock reached a 2.5% rank-one rate and an 11.4% top-three rate, the brand demonstrates it can earn placement. The opportunity is to understand what Copilot retrieves and synthesizes that the other three surfaces do not, and to build the owned and citation layers that make the same case retrievable everywhere.

This is a placement problem, not a presence problem, and it is concentrated in the surfaces where buyers ask open-ended recommendation questions.

Competitive Landscape

Questions This Section Answers

• Where does Peacock rank against Hulu, YouTube TV, and Disney+ on recommendation strength?
• What does the gap between Peacock's coverage rank and top-three rank reveal?

Hulu and YouTube TV hold the strongest recommendation-stage positions in TV Streaming Services, with Hulu leading on coverage and YouTube TV leading on rank-one placement. Peacock sits third on coverage but eighth on top-three rate, a split that separates shortlist inclusion from recommendation strength.

Average recommended rank covers rank-eligible recommendations only.

Peacock's row shows the split clearly: coverage of 38.8% places it third in the category, but a 5.44% top-three rate places it eighth and a 5.35 average recommended rank places it ninth. The brand is in the room more often than most competitors and near the front of the recommendation far less often.

AI Response Inconsistency Alerts

Questions This Section Answers

• What conflicting claims did AI platforms make about Peacock's free trial?
• Why did ChatGPT and Copilot give opposite answers about Peacock's trial availability?

One critical or high-severity factual inconsistency was detected for Peacock across two AI platforms.

When asked "What streaming app has a free trial?", ChatGPT stated that Peacock currently has no standard free trial, while Copilot stated that Peacock has a 7-day free trial. These claims are mutually exclusive. The conflict was classified as high severity with 0.95 confidence and an availability conflict type.

The two platforms drew on different source sets. ChatGPT cited Decider, Hulu, and Business Insider pages, including a Decider article titled "All The Streaming Services Offering Free Trials in September 2026: Peacock, Hulu, more." Copilot cited Savings Grove, Yahoo Tech, and A Good Movie to Watch, including a Yahoo Tech article stating that most major streaming services, including Peacock, no longer offer free trials.

The flagged sources point in both directions. A Decider excerpt states that the best free trial for live sports is Peacock at seven days via Prime Video. A Yahoo Tech excerpt states that Disney+, Peacock, Paramount+, and Hulu no longer offer free trials. A Good Movie to Watch states that Peacock followed Netflix, HBO Max, and Disney+ in dropping its trial.

For a subscription business, trial availability is a conversion-stage fact. When two AI platforms give buyers opposite answers to the same question, the brand loses control of a decision input regardless of which answer is correct. This is a source-layer problem: the public evidence layer contains conflicting claims, and AI systems are synthesizing whichever version they retrieve.

Prompt Evidence

Questions This Section Answers

• On which prompts does Peacock appear without being recommended?
• What does Peacock's performance on the "best streaming service" prompt show across platforms?

Copilot / Brand Recommendation Prompt: "What is the best streaming service?" Result: Peacock appeared in a valid recommendation with a top-three rate of 11.4% on this platform, the brand's strongest placement surface.

Gemini / Brand Recommendation Prompt: "What are the best TV streaming services?" Result: Peacock was mentioned at 87.8% presence on Gemini but recorded a 1.1% top-three rate and a 0.0% rank-one rate, with an average recommended rank of 6.30.

ChatGPT / Brand Recommendation Prompt: "What is the best streaming service?" Result: Peacock was present in 98.9% of ChatGPT observations but held a 0.0% rank-one rate and a 1.1% top-three rate, appearing as context rather than as a recommendation.

Perplexity / Brand Recommendation Prompt: "Which is the best streaming service for TV?" Result: Peacock recorded a 2.2% top-three rate and a 0.0% rank-one rate on Perplexity, with an average recommended rank of 6.84.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map every prompt where Peacock is mentioned but not placed, and identify which competitors take the top slot in those same answers.

Phase 2: Recommendation Readiness Plan Prioritize the ChatGPT, Gemini, and Perplexity placement gaps and define the attributes AI systems need to associate with Peacock to move it into the top three.

Phase 3: Owned Answer Layer Buildout Build owned pages that answer the recommendation, comparison, and trial-availability questions directly, so AI systems retrieve a consistent Peacock position.

Phase 4: Citation / Authority Layer Development Correct the conflicting trial and availability claims across the review, comparison, and deal sources that AI systems currently cite.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track coverage, top-three rate, rank-one rate, and sentiment by platform each month to confirm whether placement gains hold.

Why This Matters

AI presence alone is not enough. Peacock is mentioned in 86.9% of qualified observations and still holds a 1.1% rank-one rate. A buyer who asks an AI system which streaming service to choose is not shown a list of mentions; they are shown a shortlist with a first recommendation. Peacock is frequently in the list and rarely at the top.

The next move is targeted correction of the prompt, page, and citation layers. The prompt layer shows where placement is lost. The page layer shows what Peacock's owned content does or does not answer. The citation layer shows which external sources AI systems retrieve, and in Peacock's case, which of those sources disagree about basic facts. Fixing placement means fixing all three.

Core Metrics

Questions This Section Answers

• What are Peacock's key AI visibility metrics for October 2026?
• How do mention presence and valid recommendation coverage differ for Peacock?

Sentiment Score

Questions This Section Answers

• How is Peacock's sentiment score calculated?
• What does Peacock's sentiment breakdown reveal about the quality of its AI mentions?

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

For Peacock in October 2026: (300 × 1 + 272 × 0 + 3 × -1) / 575 = 0.5165.

This matters because unclassified mention counts are misleading. A brand with 575 mentions could look dominant until the mentions are separated. Peacock's 575 present observations break down into 300 positive, 272 neutral, and 3 negative. More than half of the brand's mentions are neutral references, not endorsements.

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. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because it separates being discussed from being recommended.

Sentiment by Platform

Questions This Section Answers

• Which platforms show the strongest and weakest sentiment for Peacock?
• How does Peacock's sentiment differ between platforms where it is recommended versus mentioned as context?

Methodology

1. This report is benchmark-based analysis of the October 2026 LLM Authority Index AI Visibility Market Discovery measurement for TV Streaming Services. It is not a client result and does not describe work performed by CiteWorks Studio.
2. The reporting month is October 2026, with the July 2026 baseline and the August and September 2026 intermediate measurements used for trend context.
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 October 2026 collection began with 800 prompt-surface observations and 631 unique questions. Of those, 800 mentioned a tracked brand or competitor, 749 were relevant, 51 were irrelevant, and 662 qualified for the public benchmark.
5. The competitor universe contains ten tracked brands: Hulu, YouTube TV, Peacock, Disney+, Amazon Prime Video, Paramount+, Sling TV, HBO Max, Apple TV+, and Netflix.
6. Three public high-intent clusters were defined: Brand Recommendation, TV Streaming Service Comparisons, and TV Streaming Service Pricing and Plans. Only Brand Recommendation recorded qualified observations in October 2026.
7. Stage 0 extraction retains the query, AI or search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources.
8. A mention is counted when a tracked brand appears anywhere in a qualified observation, regardless of whether it is recommended.
9. A valid recommendation is counted only when the dataset marks the brand as recommended within the qualified observation. Neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations.
10. Top-three rate and rank-one rate are calculated against the 662 qualified observations. Average recommended rank covers rank-eligible recommendations only.
11. Netflix recorded zero qualified observations in October 2026 and is shown with zero values. The October roster change keeps the tracked brand count at ten while altering its composition.
12. Small-count movement applies to several brands. A change of a few valid recommendations can produce a multi-point movement, so month-over-month changes should be treated as directional rather than definitive. Movement in a metric alone does not establish causality.

See How AI Is Recommending Your Brand

The public benchmark shows where Peacock stands on coverage, placement, and sentiment across six AI surfaces. A company-level AI visibility audit shows which specific prompts Peacock wins, which competitor takes the recommendation when Peacock loses, what attributes AI systems associate with the brand, and which external sources shape those answers.