Water Delivery Services: AI Visibility Market Discovery Index

Benchmark Summary

Questions This Section Answers

• Which water delivery brand leads AI recommendation coverage in October 2026?
• Which brand's movement since the July 2026 baseline goes beyond normal variation?

Mountain Valley Spring Water remains the coverage leader in October 2026 with valid recommendation coverage of 39.8%, ahead of Primo Water at 30.2%, a gap of 9.6 percentage points. Mountain Valley Spring Water is the only brand whose cumulative movement since the July 2026 baseline is beyond normal variation, falling to 39.8% from 48.9%, a 9.1-point decline across three consecutive monthly declines. No brand's cumulative movement since baseline registered as a significant increase this month.

Within the month, Primo Water and Culligan each posted single-month increases beyond normal variation, reversing prior declines: Primo Water rose to 30.2% from 18.2%, the largest single-month move in the series, and Culligan rose to 29.1% from 17.4%. Looking at the full series from July 2026, Culligan's cumulative movement since baseline is up 4.6 points and Primo Water's is up 3.0 points, both still classified as stable relative to the baseline despite the in-month increase. DS Services is a watch item, with three consecutive monthly increases (0.0% to 0.6%) that remain within normal variation on a cumulative basis.

Mountain Valley Spring Water's rank-one rate held at 20.3% even as its coverage declined.

The benchmark began with 800 prompt-surface observations in each month and produced 344 qualified observations in October 2026 after qualification.

Current Benchmark at a Glance

Qualified surface breadth counts the canonical AI surface families with at least one qualified observation: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. September 2026, the intermediate month, recorded 379 qualified observations. August 2026 recorded 411, the highest in the series.

For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Water Delivery Services

Research Scope and Qualification

Questions This Section Answers

• Why is the public benchmark narrower than the raw collection universe?
• How many prompt-surface observations qualified for the October 2026 benchmark?

The public benchmark is narrower than the raw collection universe by design.

Brand-level percentages use the qualified observations as the public denominator, not the raw collection. Link AI Visibility Market Discovery Methodology.

Current Brand Standings

Questions This Section Answers

• How do the tracked water delivery brands rank on valid recommendation coverage?
• How do presence, top-three, and rank-one rates differ across the brands?

How to Read the Standings

• Presence rate: Share of qualified observations where the brand appears in any capacity.
• Valid recommendation coverage: Share of qualified observations where the brand appears in a valid recommendation shortlist.
• Top-three rate: Share of qualified observations where the brand appears among the top three recommended options.
• Rank-one rate: Share of qualified observations where the brand is the first recommendation.
• Net sentiment: Positive mentions minus negative mentions, divided by total mentions.

For formulas and denominator rules, see AI Visibility Market Discovery Metric Definitions.

Recommendation Coverage Movement

Questions This Section Answers

• Which water delivery brand posted the largest single-month coverage increase?
• What drove Mountain Valley Spring Water's cumulative coverage decline since baseline?

Largest Increase: Primo Water

Primo Water's valid recommendation coverage rose to 30.2% from 18.2%, a single-month move beyond normal variation and the largest in the series this month. Since the July 2026 baseline the brand's cumulative movement is up 3.0 points, still within normal variation. Its top-three rate rose from 16.9% to 29.1% and its rank-one rate from 9.2% to 18.3% over the same September-to-October span. The brand had 69 valid recommendations in September 2026 and 104 in October 2026.

Largest Decline: Mountain Valley Spring Water

Mountain Valley Spring Water's valid recommendation coverage fell to 39.8% in October 2026 from 43.3% in September 2026. The cumulative decline since the July 2026 baseline is 9.1 points, beyond normal variation, and the brand has now declined in each of the three months since baseline: 45.0% in August 2026, 43.3% in September 2026, and 39.8% in October 2026. Presence rate also fell over the same span, from 66.0% in July 2026 to 54.9% in October 2026. The brand retained the highest rank-one rate in the category at 20.3%. Mountain Valley Spring Water had 180 valid recommendations in July 2026 and 137 in October 2026.

Category Leader: Mountain Valley Spring Water

Mountain Valley Spring Water remains the category leader by valid recommendation coverage despite its decline, at 39.8% in October 2026, ahead of Primo Water at 30.2%. The lead over Primo Water narrowed to 9.6 percentage points in October 2026 from 21.7 points in July 2026. The brand holds the highest top-three rate (35.5%) and rank-one rate (20.3%) in the category.

Recommendation Placement Snapshot

Questions This Section Answers

• Why does close valid recommendation coverage hide a gap between Primo Water and Culligan?
• Which brand holds the strongest rank-one and top-three placement rates?

Coverage rates alone do not show how prominently a brand is recommended. Among the leading brands, placement rates reveal different dynamics:

Coverage can conceal first-position differences: Culligan's valid recommendation coverage of 29.1% in October 2026 sits close to Primo Water's 30.2%, yet Culligan's rank-one rate of 8.7% is well below Primo Water's 18.3%.

Buyer-Intent Distribution

All qualified observations in the current period fell into the Brand Recommendation class.

The current public series measures that class of discovery and does not yet contain qualified observations in the Pricing & Value or Multi-Brand Comparison classes.

Historical Measurement Record

Questions This Section Answers

• Does the four-month history support a trend or only single-period movements?
• How did the coverage leader and largest movement change across the measurement periods?

Evidence and Source Layer

Questions This Section Answers

• What prompt-level evidence does the benchmark retain for each observation?
• Does source presence prove that a source caused the recommendation?

The benchmark is built from prompt-level observations that retain the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources. Source presence is evidence about the information environment. It is not automatically proof that the source caused the recommendation.

Scope Boundaries

This public benchmark does not measure:

• Market share or sales attribution
• Every possible AI response to a given query
• Organic search ranking performance
• Social media mention volume
• Private or sponsored channel activity
• Causality from a metric movement alone

Top 10 Cited Domains

Questions This Section Answers

• Which domains are cited most often across AI platform responses?
• How concentrated are citations among the top ten domains?

Across all AI platform responses in the October 2026 measurement period, the benchmark recorded 7,105 citations across 1,434 unique domains. The ten most-cited domains are listed below.

Citations are broadly distributed: the top ten domains account for roughly 32% of all citations, while the remaining 1,424 unique domains share the rest. Three tracked brands' own domains appear in the top ten: water.com at rank 3, culligan.com at rank 4, and mountainvalleyspring.com at rank 6. General-purpose sources dominate the upper ranks, with google.com and youtube.com heading the list alongside community platforms such as reddit.com and facebook.com.

About This Benchmark

The LLM Authority Index AI Visibility Market Discovery Index tracks how often brands appear as valid recommendations across major AI chat and search surfaces. Canonical research links:

• AI Visibility Market Discovery Methodology
• AI Visibility Market Discovery Metric Definitions
• AI Visibility Market Discovery Research Standards
• Modeled AI Visibility Authority Value

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