CiteWorks Studio

DS Services AI Market Strategy Report - Water Delivery Services

Mark HuntleyBy Mark HuntleyFounder and CEO
11 minutes read

Key Takeaways

  • DS Services appeared in 2.37% of qualified observations but earned valid recommendations in only 0.53%, indicating recognition without shortlist conversion.
  • Perplexity was the brand’s strongest platform, delivering its only rank-one recommendation and a 7.69% valid recommendation rate on that surface.
  • DS Services recorded zero valid recommendations on ChatGPT, Gemini, Google AI Mode, and Google AI Overviews, leaving it absent where much of category discovery happens.
  • The clearest near-term opportunity is to strengthen public evidence around service area, delivery capability, and coverage to improve recommendation eligibility on Perplexity and Copilot.

Answer Capsule

DS Services holds almost no recommendation power in AI-generated answers for Water Delivery Services, despite being a recognized name in the category. In September 2026, the brand appeared in just 2.37% of qualified AI observations and earned valid recommendations in only 0.53% of them. Its strongest signal is a narrow rank-one pocket on Perplexity, where it was named first in 7.69% of that platform's qualified observations. The clearest weakness is near-total absence from the platforms where the category's recommendations are actually formed, and the clearest opportunity is converting its existing brand recognition into shortlist eligibility on the surfaces where buyers are asking.

Who This Report Is For

This report is written for DS Services marketing, brand, and category leadership, and for teams evaluating how the brand is positioned when buyers ask AI systems for water delivery recommendations.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

DS Services

Category / market studied

Water Delivery Services

Reporting month

September 2026

AI platforms tracked

6 (ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, Google AI Mode)

Public high-intent clusters

3

AI observations analyzed

379 qualified observations

Competitors tracked

6

Executive Summary

DS Services is present in the Water Delivery Services AI recommendation landscape, but it is not being chosen. Across 379 qualified observations in September 2026, the brand appeared in 9 of them, a raw mention presence rate of 2.37%, and earned valid recommendation credit in only 2, a coverage rate of 0.53%. That places DS Services seventh of seven tracked brands, behind every competitor in the set.

The gap between presence and recommendation is the defining pattern. DS Services is mentioned roughly four times more often than it is recommended, which means AI systems recognize the brand as a category participant without treating it as a shortlist option. That is a materially different problem from being unknown, and it points to a framing and evidence issue rather than a pure awareness issue.

Sentiment is not the constraint. DS Services recorded 2 positive mentions, 7 neutral mentions, and 0 negative mentions, producing a net sentiment score of 0.2222. The brand is not being criticized. It is being passed over.

The strongest platform signal is Perplexity, where DS Services earned a rank-one rate of 7.69% and a valid recommendation coverage rate of 7.69%, its highest single-platform result. Copilot produced the second-strongest signal, with a top-three rate of 3.23% and a rank-one rate of 0.00%. On ChatGPT, Gemini, Google AI Mode, and Google AI Overviews, the brand recorded zero valid recommendations.

The clearest gap is scale. Mountain Valley Spring Water holds 43.27% valid recommendation coverage and Primo Water holds 18.21%, while DS Services sits at 0.53%. The category's recommendation concentration is high, and DS Services is outside the concentrated group entirely.

The clearest opportunity is narrow and specific. The brand already has a foothold on Perplexity and a small opening on Copilot. Those are the surfaces where a focused recommendation-readiness effort has the shortest distance to travel.

What DS Services Is Winning

Questions This Section Answers

  • Where does DS Services actually earn a first-choice recommendation in AI answers?
  • Does DS Services carry any negative AI framing compared to competitors like Aquafina?

The evidence base for wins is thin, and this report will not overstate it. Two signals are worth naming.

First, DS Services holds a genuine rank-one position on Perplexity. In that platform's 13 qualified observations, the brand earned 1 rank-one recommendation and 1 top-three recommendation, producing a rank-one rate of 7.69%. That is a small absolute count, but it is a real first-choice placement on a platform where buyers ask direct recommendation questions.

Second, the brand carries no negative framing. Across all 9 mentions, DS Services recorded 0 negative mentions and a net sentiment score of 0.2222. In a category where Aquafina carries a net sentiment score of negative 0.2143, the absence of cautionary or critical framing is a meaningful baseline.

Beyond those two points, the data does not support additional win claims. DS Services recorded no valid recommendations on ChatGPT, Gemini, Google AI Mode, or Google AI Overviews, and its overall top-three rate of 0.53% is tied for the lowest in the tracked set.

Where DS Services Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why does DS Services appear in AI answers but fail to convert mentions into recommendations?
  • Which platforms produced zero valid recommendations for DS Services despite having qualified observations?
  • Why can't the public benchmark show how DS Services performs on pricing or head-to-head comparison questions?

The primary gap is recommendation conversion. DS Services appears in 2.37% of qualified observations but converts only 0.53% of them into valid recommendations. Every other tracked brand converts presence into recommendations at a higher rate, and most convert at a dramatically higher rate. Mountain Valley Spring Water converts 64.38% presence into 43.27% coverage. Primo Water converts 45.65% presence into 18.21% coverage. DS Services converts 2.37% presence into 0.53% coverage.

The second gap is platform absence. Four of the six tracked platforms produced zero valid recommendations for DS Services. Google AI Mode, which carries the largest share of category opportunity among the tracked surfaces, returned 1 neutral mention and no recommendations across 116 qualified observations. Google AI Overviews returned 1 neutral mention and no recommendations across 121 qualified observations. ChatGPT returned zero mentions across 44 qualified observations. Gemini returned 3 neutral mentions and no recommendations across 54 qualified observations.

The third gap is competitive displacement. In the category's primary discovery and evaluation cluster, Primo Water is the cluster winner, followed by Mountain Valley Spring Water and Culligan. DS Services does not appear in the leading group on any cluster. When AI systems assemble a water delivery shortlist, the brand is not in the room.

The fourth gap is structural. The benchmark's qualified observations fell entirely within the Brand Recommendation buyer-intent class. Pricing and Value and Multi-Brand Comparison clusters recorded zero qualified observations in the public series. That means the public benchmark cannot yet show how DS Services performs when buyers ask about cost, value, or head-to-head comparisons, which are the prompt types where a brand with established service infrastructure would typically have the strongest case to make.

Biggest Opportunity

Questions This Section Answers

  • Which platforms offer DS Services the shortest path to measurable recommendation coverage?
  • Why is the ChatGPT and Gemini gap a framing problem rather than a discovery problem for DS Services?

The single clearest opportunity is to convert DS Services' existing category recognition into shortlist eligibility on Perplexity and Copilot, the two platforms where the brand already has a measurable foothold.

Perplexity produced the brand's only rank-one recommendation and its highest single-platform coverage rate. Copilot produced its only other top-three placement. Both platforms are recommendation-shaped surfaces where buyers ask direct questions and receive short, ranked answers. A focused effort to strengthen the public evidence layer behind DS Services' service footprint, coverage area, and delivery capability on those two surfaces has the shortest path from current position to measurable recommendation coverage.

The secondary opportunity, which follows from the first, is closing the ChatGPT and Gemini gap. Both platforms returned mentions without recommendations, which suggests the brand is retrievable but not framed as a shortlist option. That is a framing problem, not a discovery problem.

Competitive Landscape

Questions This Section Answers

  • How far behind the category leaders is DS Services on top-three and rank-one recommendation rates?
  • Why is DS Services' average recommended rank of 1.5 misleading as a competitive signal?

Mountain Valley Spring Water holds dominant recommendation power in Water Delivery Services, with Primo Water and Culligan forming a clear second tier. DS Services sits at the bottom of the tracked set, with recommendation rates that are an order of magnitude below the category leaders.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Mountain Valley Spring Water

33.51%

20.32%

1.8369

0.8074

Primo Water

16.89%

9.23%

1.6866

0.4566

Culligan

14.78%

6.86%

2

0.5147

Sparkletts

6.60%

0.79%

2.7241

0.4677

Aquafina

2.37%

1.32%

2.9167

-0.2143

Absopure

0.53%

0.00%

3

0.3333

DS Services

0.53%

0.26%

1.5

0.2222

Average recommended rank covers rank-eligible recommendations only.

DS Services' average recommended rank of 1.5 is the strongest in the table, but it rests on a single rank-eligible recommendation. The rate columns tell the operative story: the brand is recommended in a fraction of a percent of qualified observations, while the category leader is recommended in more than a third of them.

Prompt Evidence

Perplexity / Brand Recommendation Prompt: "water delivery" Result: DS Services earned its only rank-one recommendation on this platform, producing a 7.69% rank-one rate across Perplexity's qualified set.

Copilot / Brand Recommendation Prompt: "water delivery service" Result: DS Services appeared in a top-three position once, producing a 3.23% top-three rate on Copilot with no rank-one placements.

Google AI Mode / Brand Recommendation Prompt: "water near me" Result: DS Services recorded a single neutral mention with no recommendation credit across 116 qualified Google AI Mode observations.

ChatGPT / Brand Recommendation Prompt: "best home water filters" Result: DS Services recorded zero mentions and zero recommendations across 44 qualified ChatGPT observations.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map exactly which prompts produce DS Services mentions without recommendations, and which competitor is named when the brand is passed over.

Phase 2: Recommendation Readiness Plan Prioritize the Perplexity and Copilot footholds, then define the specific prompt classes where DS Services has a credible claim to a shortlist position.

Phase 3: Owned Answer Layer Buildout Strengthen the service area, delivery capability, and product coverage content that AI systems retrieve when assembling water delivery shortlists.

Phase 4: Citation / Authority Layer Development Build the public evidence layer, including third-party references and structured source pages, that supports retrievability on the platforms where the brand is currently absent.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track recommendation coverage, top-three rate, and rank-one rate by platform and cluster to confirm whether the Perplexity and Copilot footholds expand.

Why This Matters

AI systems are now where a meaningful share of buyers form their water delivery shortlist. A brand that appears in the answer but is not recommended is not in the consideration set. DS Services currently sits in that position: visible enough to be recognized, not recommended enough to be chosen.

The next move is not broader awareness. It is targeted correction of the prompt, page, and citation layers that determine whether AI systems treat DS Services as a shortlist option. The brand's strongest asset in this dataset is its average recommended rank of 1.5, which suggests that when DS Services does earn a recommendation, it earns a strong one. The work is to make that happen more often.

Core Metrics

Metric

Value

Mentions

9

Valid recommendations

2

Top 3 recommendation count

2

Rank #1 recommendation count

1

Average recommended rank

1.5

Positive mentions

2

Neutral mentions

7

Negative mentions

0

Raw mention presence rate

2.37%

Valid recommendation coverage

0.53%

Top 3 recommendation rate

0.53%

Rank #1 recommendation rate

0.26%

Net sentiment score

0.2222

Strongest cluster by recommendation behavior

Best Water Delivery Services, Discovery and Evaluation

Strongest platform by recommendation behavior

Perplexity

Sentiment Score

Questions This Section Answers

  • Why do DS Services' 9 mentions overstate its actual visibility in AI recommendations?
  • What does the split between positive and neutral mentions say about whether DS Services is being chosen or just referenced?

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

For DS Services in September 2026: (2 × 1 + 7 × 0 + 0 × -1) / 9 = 0.2222.

This score matters because unclassified mention counts are misleading. A brand that appears in 9 answers sounds more visible than it is if those appearances are never separated into positive recommendations, neutral references, and cautionary mentions. DS Services' 9 mentions break down as 2 positive and 7 neutral, with no negative framing. That is a clean profile, but it is also a passive one: the brand is being referenced as context rather than recommended as an option.

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, and counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because it separates the question of whether a brand is known from the question of whether it is chosen.

Sentiment by Platform

Questions This Section Answers

  • On which platforms does DS Services show a positive recommendation signal, and how reliable is that signal?
  • What distinguishes platforms where DS Services is present as context from those where it is genuinely recommended?

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

Perplexity

2

1

1

0

0.5

Strongest public recommendation signal

Copilot

2

1

1

0

0.5

Positive, but sample too small

Gemini

3

0

3

0

0

Present as context, not recommendation

Google AI Mode

1

0

1

0

0

Present, but not recommendation-led

Google AI Overviews

1

0

1

0

0

Present, but not recommendation-led

ChatGPT

0

0

0

0

N/A

No public presence in this packet

Methodology

  1. This report is a benchmark-based analysis of DS Services' position in AI-generated recommendations for Water Delivery Services, produced from the LLM Authority Index AI Market Discovery Index and the associated September 2026 metrics aggregation.
  2. The reporting window is September 2026, with July 2026 as the baseline comparison month and August 2026 as the intermediate month.
  3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
  4. The September 2026 run began with 800 prompt-surface observations and produced 379 qualified observations after relevance and qualification filtering.
  5. The tracked competitor universe contains seven brands: DS Services, Mountain Valley Spring Water, Primo Water, Culligan, Sparkletts, Aquafina, and Absopure.
  6. Three public high-intent clusters were defined: Best Water Delivery Services (Discovery and Evaluation), Water Delivery Service Comparisons (Competitive Evaluation), and Water Delivery Service Pricing and Plans (Decision Stage).
  7. All 379 qualified September observations fell within the Brand Recommendation buyer-intent class. The Pricing and Value and Multi-Brand Comparison classes recorded zero qualified observations in the public series.
  8. A mention is counted when a tracked brand appears in a qualified AI answer in any capacity, including neutral reference, comparison anchor, or contextual listing.
  9. A valid recommendation is counted only when the dataset explicitly marks the brand as a recommended option within a shortlist. 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 379 qualified observations as the public denominator, not the 800 raw prompts.
  11. Average recommended rank covers rank-eligible recommendations only. DS Services' average rank of 1.5 rests on a single rank-eligible recommendation and should be read as directional rather than stable.
  12. Source presence in the underlying evidence layer is treated as information about the public evidence environment. It is not treated as proof that any source caused a recommendation.

See How AI Is Recommending Your Brand

The public benchmark shows where DS Services stands in AI-generated water delivery recommendations. A company-level AI visibility audit shows why, mapping the specific prompts, platforms, competitors, and source patterns that determine whether the brand is named, shortlisted, or passed over.

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Understanding AI search visibility.

AI search experiences create answers by pulling information from many places online and summarizing it into a single response.

What Is AI Citation Intelligence?
AI citation intelligence is the process of measuring where AI platforms source their information and how frequently a brand is mentioned or referenced in AI-generated responses. Because LLMs synthesize across multiple sources, the sites and brands that appear repeatedly tend to influence how a topic or company is framed. This practice focuses on identifying which sources shape AI outputs and tracking brand visibility across different AI systems.
What Is Citation Architecture?
Citation architecture describes the set of sources that consistently inform how AI systems talk about a brand, product, or topic. LLMs draw from websites, articles, forums, and public discussion, and the sources they rely on most often become the backbone of their answers. Building strong citation architecture means ensuring that accurate, credible, high authority sources are the ones most likely to shape the way AI tools summarize and recommend a brand.
What Is Generative Engine Optimization?
Generative engine optimization (GEO) is the practice of improving the chances that AI systems use and cite your brand or content when generating answers. While traditional SEO is centered on ranking pages in search results, GEO focuses on how LLMs retrieve, interpret, and combine information when responding to a question. The objective is to strengthen the content and sources AI systems rely on, so your brand is treated as a trusted reference in AI responses.
What Is AI Share of Voice?
AI share of voice tracks how often a brand appears in AI-generated answers compared with competitors in the same category. It reflects visibility across AI platforms such as ChatGPT, Gemini, Claude, and Perplexity. Monitoring AI share of voice helps organizations see whether AI systems consistently include and recommend their brand for key queries or whether competitor brands are showing up more often.

About The Author

Mark Huntley

Mark Huntley

Founder and CEO

Mark Huntley, J.D. is founder of CiteWorks Studio, a strategic advisory focused on visibility, authority, and recommendation presence in AI-shaped search environments. His work centers on embedding-level GEO, vector optimization, and cosine gap engineering — helping brands align their digital presence with the retrieval systems that increasingly shape discovery, interpretation, and choice.

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