Clearly Filtered AI Visibility Market Strategy Report - Water Filter Systems

Mark HuntleyBy Mark HuntleyFounder and CEO
14 minutes read

Key Takeaways

  • Clearly Filtered appears in 44.6% of qualified prompts, but only 34.9% become valid recommendations, leaving a gap between presence and selection.
  • Copilot and Perplexity are the brand’s strongest platforms, with the best top-three and rank-one placement rates in the set.
  • Google AI Mode is the largest opportunity, since the brand is visible there but converts that visibility into top placements at a low rate.
  • Two high-severity pricing inconsistencies around the pitcher product create a trust risk across Google AI Mode, Google AI Overviews, and Gemini.

Answer Capsule

Clearly Filtered holds 34.9% valid recommendation coverage in the October 2026 Water Filter Systems benchmark, ranking sixth of ten tracked brands. The brand appears in 44.6% of qualified AI water filter recommendations but converts that presence into a valid recommendation less often than the category leader, Aquasana, at 57.6%. Its clearest win is a 25.7% top-three rate that outpaces several larger brands, and its clearest weakness is a rank-one rate of 8.8% that trails APEC Water Systems, iSpring, and Aquasana. The clearest opportunity sits in converting its broad presence into first-position recommendations, particularly on Copilot and Perplexity, where its placement signals are strongest.

Who This Report Is For

This report is for Clearly Filtered's marketing, brand, and growth leadership, and for category analysts tracking how water filter brands are recommended across AI and search surfaces.

Report Card

Field

Value

Report type

AI Visibility Company Market Strategy Report

Target company

Clearly Filtered

Category / market studied

Water Filter Systems

Reporting month

October 2026

AI platforms tracked

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

Public high-intent clusters

1 qualified (Brand Recommendation)

AI observations analyzed

713 qualified observations

Competitors tracked

9

Executive Summary

Clearly Filtered holds 34.9% valid recommendation coverage in the October 2026 Water Filter Systems benchmark, placing sixth of ten tracked brands. The brand appears in 44.6% of qualified observations, so it is present in roughly two of every five buyer prompts, but it converts that presence into a valid recommendation less often than five competitors. The gap between presence and recommendation is the central story of this report.

The brand's strongest signal is its top-three rate of 25.7%, which places it ahead of PUR (21.9%) and SpringWell Water (12.3%) despite lower overall coverage. Its rank-one rate of 8.8% is also competitive, sitting above Brita (8.4%), PUR (6.6%), Culligan (5.3%), and SpringWell Water (6.2%). Clearly Filtered is being positioned reasonably well when it is named, but it is named less often than the category leaders.

The clearest weakness is breadth. At 44.6% presence, Clearly Filtered trails Aquasana (65.5%), Brita (64.0%), PUR (55.3%), iSpring (54.4%), and Culligan (53.9%). The brand is not absent from the category conversation, but it is not consistently part of it either. Its 249 valid recommendations in October 2026 compare with 411 for Aquasana and 358 for iSpring.

The strongest platform signal for Clearly Filtered is Copilot, where it holds a 48.8% top-three rate and a 20.7% rank-one rate, both the highest placement readings in its platform set. Perplexity also shows strength, with a 27.2% top-three rate and a 14.1% rank-one rate. These two platforms represent the brand's clearest recommendation pockets.

The clearest platform gap is Google AI Mode, where Clearly Filtered holds a 21.1% top-three rate and a 6.5% rank-one rate despite a 56.2% presence rate. The brand is visible on Google AI Mode but is not converting that visibility into top placement at the same rate as competitors like iSpring (51.9% top-three) or Aquasana (61.1% top-three). This is the largest single-platform opportunity in the dataset.

The benchmark also flags two high-severity pricing inconsistencies involving Clearly Filtered's pitcher product across Google AI Mode, Google AI Overviews, and Gemini. These conflicts are documented in the AI Response Inconsistency Alerts section below and represent a framing risk that may affect buyer confidence at the comparison stage.

What Clearly Filtered Is Winning

Questions This Section Answers

  • Where does Clearly Filtered's placement outperform its overall coverage?
  • Which platforms give Clearly Filtered its strongest recommendation positions?

Clearly Filtered holds a competitive rank-one rate relative to its overall coverage position. At 8.8%, its rank-one rate exceeds Brita (8.4%), PUR (6.6%), Culligan (5.3%), and SpringWell Water (6.2%), despite those brands holding higher valid recommendation coverage. When Clearly Filtered is recommended, it is more likely to appear near the top of the list than several larger competitors.

The brand's top-three rate of 25.7% is also a meaningful signal. It places Clearly Filtered ahead of PUR (21.9%) and SpringWell Water (12.3%) on placement, even though PUR holds higher overall coverage at 43.2%. This suggests that Clearly Filtered's recommendation quality, when it occurs, is stronger than its raw presence would suggest.

Copilot is the brand's strongest platform. Clearly Filtered holds a 48.8% top-three rate and a 20.7% rank-one rate on Copilot, both the highest placement readings in its platform set. Its Copilot valid recommendation coverage of 56.1% is also its strongest platform-level coverage figure. This is a narrow but meaningful recommendation pocket.

Perplexity is the brand's second-strongest platform, with a 27.2% top-three rate and a 14.1% rank-one rate. The brand's average recommended rank on Perplexity is 1.85, its best average rank across all platforms. When Clearly Filtered is recommended on Perplexity, it tends to appear very near the top.

The brand carries no significant negative sentiment burden. Its net sentiment score of 0.7925 is positive, and its negative mention count of 1 out of 713 observations is negligible. Clearly Filtered is not being framed negatively in AI responses; the issue is recommendation frequency, not framing quality.

Where Clearly Filtered Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Where is Clearly Filtered visible in AI answers but not being recommended?
  • Which competitors are converting presence into recommendations more effectively than Clearly Filtered?

The clearest gap is breadth. Clearly Filtered appears in 44.6% of qualified observations, which places it sixth of ten brands on presence. The five brands ahead of it on presence, Aquasana (65.5%), Brita (64.0%), PUR (55.3%), iSpring (54.4%), and Culligan (53.9%), all appear in more than half of buyer prompts. Clearly Filtered does not. This means the brand is absent from more than half of the category's AI recommendation moments.

The second gap is recommendation conversion. Even when Clearly Filtered is present, it converts to a valid recommendation at a lower rate than the category leaders. Its valid recommendation coverage of 34.9% compares with 57.6% for Aquasana, 50.2% for iSpring, and 46.3% for Brita. The brand is present but not chosen at the rate its presence would suggest.

Google AI Mode is the clearest platform-level gap. Clearly Filtered holds a 56.2% presence rate on Google AI Mode but only a 21.1% top-three rate and a 6.5% rank-one rate. By comparison, iSpring holds a 51.9% top-three rate and a 21.1% rank-one rate on the same platform, and Aquasana holds a 61.1% top-three rate and an 18.9% rank-one rate. Clearly Filtered is visible on Google AI Mode but is not being placed at the top of recommendations at anywhere near the rate of its competitors.

The brand also trails on ChatGPT. Clearly Filtered holds a 36.0% valid recommendation coverage on ChatGPT, compared with 65.3% for Brita, 57.3% for PUR, 54.7% for Culligan, and 50.7% for Aquasana. ChatGPT is the platform with the largest opportunity pool in the dataset, and Clearly Filtered's coverage there is well below the category leaders.

The two pricing inconsistencies documented in the AI Response Inconsistency Alerts section represent a framing risk. When AI platforms provide conflicting price information for the same product, buyers comparing options may lose confidence in the brand's positioning. This is not a recommendation gap in the traditional sense, but it is a visibility quality issue that may affect conversion at the comparison stage.

Biggest Opportunity

Questions This Section Answers

  • What single platform gap offers Clearly Filtered the largest upside?
  • What needs to happen for Clearly Filtered to close that gap?

The single biggest opportunity for Clearly Filtered is to convert its existing Google AI Mode presence into top-three and rank-one recommendations. The brand already appears in 56.2% of Google AI Mode observations, which means the visibility foundation is in place. The gap is placement: only 21.1% of those observations result in a top-three recommendation, and only 6.5% result in a rank-one recommendation.

Closing this gap would move Clearly Filtered from a mid-tier placement position to a competitive one on the platform with the largest observation volume in the dataset. Google AI Mode accounts for 185 of the 713 qualified observations, making it the second-largest platform by volume after Google AI Overviews. Improving placement there would have an outsized effect on the brand's overall recommendation metrics.

The path to closing this gap runs through the prompt and citation layers. The brand needs to understand which specific prompts on Google AI Mode are producing top-three placements for iSpring and Aquasana but not for Clearly Filtered, and which source pages those competitors are drawing from. That analysis would identify the specific content and citation gaps that are keeping Clearly Filtered out of the top positions.

Competitive Landscape

Questions This Section Answers

  • How does Clearly Filtered's placement compare with rival water filter brands?
  • Which brands lead the category on top-three and rank-one recommendations?

Aquasana holds the strongest recommendation-stage position in the Water Filter Systems category, with iSpring as the strongest challenger and Brita as the fastest-rising brand. Clearly Filtered sits in the middle of the tracked set, with placement strength that exceeds its coverage rank but breadth that trails the category leaders.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Aquasana

47.12%

13.32%

2.15

0.8972

iSpring

35.06%

13.46%

2.43

0.9381

Brita

29.73%

8.42%

2.72

0.6162

Culligan

27.63%

5.33%

2.74

0.7266

Clearly Filtered

25.67%

8.84%

2.31

0.7925

APEC Water Systems

24.40%

14.73%

1.96

0.9341

PUR

21.88%

6.59%

3.12

0.6878

SpringWell Water

12.34%

6.17%

2.55

0.8148

Berkey

3.65%

0.14%

3.51

0.4167

Pentair

1.68%

0.28%

3.60

0.3881

Average recommended rank covers rank-eligible recommendations only.

Clearly Filtered's 25.67% top-three rate places it fifth of ten, ahead of APEC Water Systems, PUR, SpringWell Water, Berkey, and Pentair. Its 8.84% rank-one rate places it fourth, behind APEC Water Systems, iSpring, and Aquasana. Its average recommended rank of 2.31 is third-best in the category, behind APEC Water Systems (1.96) and Aquasana (2.15). The brand's placement metrics are stronger than its coverage rank of sixth would suggest.

AI Response Inconsistency Alerts

Questions This Section Answers

  • Which Clearly Filtered product triggers conflicting AI price information?
  • How severe are the clearly filtered pricing inconsistencies across platforms?

Two critical factual inconsistencies were detected for Clearly Filtered across three AI platforms: Google AI Mode, Google AI Overviews, and Gemini. Both conflicts involve the price of the Clearly Filtered water filter pitcher, and both are rated high severity with 0.95 confidence.

The first conflict involves the pitcher price. When asked "What is the best water filter pitcher that works?", Google AI Mode stated the Clearly Filtered pitcher costs approximately $255 to $290, citing the brand's own product page, a YouTube review, and waterfilterguru.com. Google AI Overviews stated the same pitcher costs $110.00, citing CNN, SpringWell Water, and a YouTube review. The flagged sources include Clearly Filtered's own product page, which lists the pitcher at $110.00, and a third-party review site that also lists the unit cost at $110. The $255 to $290 figure cited by Google AI Mode does not match the brand's own published pricing.

The second conflict also involves the pitcher price. Google AI Mode again stated the pitcher costs approximately $255 to $290, citing the same three sources. Gemini stated the pitcher costs approximately $90 upfront, citing waterfilterguru.com, qualitywaterlab.com, and nontoxiclab.com. The two platforms provided price points that differ by more than $165, and neither matches the $110 figure that Google AI Overviews cited in the first conflict.

These inconsistencies mean that a buyer asking a single question about water filter pitchers could receive three different price points for the same Clearly Filtered product depending on which AI platform they use. The brand's own product page lists $110.00, which aligns with the Google AI Overviews response but not with the Google AI Mode or Gemini responses. The source of the $255 to $290 and $90 figures is not clear from the flagged sources, but the discrepancy suggests that AI platforms are synthesizing pricing information from multiple sources that may include outdated, bundled, or replacement-filter pricing rather than the standalone pitcher price.

Prompt Evidence

Google AI Mode / Brand Recommendation Prompt: "What is the best water filter pitcher that works?" Result: Google AI Mode recommended Clearly Filtered but cited a price range of approximately $255 to $290, which conflicts with the brand's own published price of $110.00 and with Google AI Overviews' response to the same question.

Copilot / Brand Recommendation Prompt: "What is the best water filtration for drinking water?" Result: Clearly Filtered appeared in the top three in 48.8% of Copilot observations and ranked first in 20.7%, making Copilot the brand's strongest platform for recommendation placement.

Google AI Mode / Brand Recommendation Prompt: "What is the best whole house water filtration system?" Result: Clearly Filtered was present in 56.2% of Google AI Mode observations but appeared in the top three in only 21.1% and ranked first in only 6.5%, indicating a placement gap despite strong presence.

Perplexity / Brand Recommendation Prompt: "What water filter removes PFAS?" Result: Clearly Filtered held a 27.2% top-three rate and a 14.1% rank-one rate on Perplexity, with an average recommended rank of 1.85, its strongest average rank across all platforms.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map Clearly Filtered's prompt-level presence, recommendation placement, and citation sources across all six tracked platforms to identify exactly where the brand is present but not recommended, and which competitors are capturing those positions.

Phase 2: Recommendation Readiness Plan Prioritize the Google AI Mode and ChatGPT placement gaps, where the brand's presence is strong but top-three conversion is weak, and define the specific prompt clusters and source pages that need to be addressed.

Phase 3: Owned Answer Layer Buildout Strengthen Clearly Filtered's owned content so that AI systems can retrieve clear, consistent product and pricing information directly from the brand, reducing reliance on third-party sources that may carry conflicting or outdated data.

Phase 4: Citation / Authority Layer Development Build and reinforce the third-party review, testing, and comparison sources that AI systems cite when recommending water filter pitchers and whole-house systems, ensuring that Clearly Filtered is represented accurately and competitively in those sources.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Clearly Filtered's recommendation coverage, top-three rate, rank-one rate, and pricing consistency across all platforms on a monthly basis to measure whether the placement gaps are closing and whether the pricing inconsistencies are resolved.

Why This Matters

Clearly Filtered is visible in the water filter category, but visibility alone is not converting into recommendation leadership. The brand appears in 44.6% of buyer prompts but holds only 34.9% valid recommendation coverage, and its top-three rate of 25.7% trails four competitors. In a category where buyers are asking AI systems to recommend the best water filter, being present but not recommended is a measurable commercial gap.

The next move is targeted correction of the prompt, page, and citation layers. The brand needs to close the Google AI Mode placement gap, strengthen its ChatGPT coverage, and resolve the pricing inconsistencies that are producing conflicting answers across platforms. These are specific, addressable issues, not broad visibility problems. The benchmark shows where the gaps are; the work is in fixing the specific prompts, pages, and sources that are producing them.

Core Metrics

Metric

Value

Mentions

318

Valid recommendations

249

Top 3 recommendation count

183

Rank #1 recommendation count

63

Average recommended rank

2.31

Positive mentions

253

Neutral mentions

64

Negative mentions

1

Raw mention presence rate

44.60%

Valid recommendation coverage

34.92%

Top 3 recommendation rate

25.67%

Rank #1 recommendation rate

8.84%

Net sentiment score

0.7925

Strongest cluster by recommendation behavior

C01: Best Water Filter Systems, Discovery and Evaluation

Strongest platform by recommendation behavior

Copilot

Sentiment Score

Questions This Section Answers

  • Why does a strong sentiment score alone not signal AI recommendation leadership for Clearly Filtered?
  • How much of Clearly Filtered's mention volume is neutral rather than positive?

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

For Clearly Filtered in October 2026: (253 × 1 + 64 × 0 + 1 × -1) / 318 = 252 / 318 = 0.7925.

This score matters because unclassified mention counts are misleading. A brand with 318 mentions could appear to be in a strong position, but if those mentions are neutral references, cautionary notes, or comparison anchors rather than positive recommendations, the raw count overstates the brand's actual standing. Clearly Filtered's 64 neutral mentions represent 20.1% of its total mentions, and those neutral references do not carry the same recommendation weight as positive mentions.

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 in commercial value. Counting all mentions as wins is bad measurement. Clearly Filtered's net sentiment score of 0.7925 is positive, which is a genuine strength, but it should be read alongside the brand's recommendation coverage and placement metrics, not in isolation.

Classified sentiment is required before interpreting AI visibility. The 0.7925 score tells us that when Clearly Filtered is mentioned, the framing is overwhelmingly positive or neutral. It does not tell us how often the brand is recommended, how prominently it is placed, or whether competitors are being recommended instead. Those questions require the recommendation coverage and placement metrics covered elsewhere in this report.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

28

27

1

0

0.9643

Positive, but sample too small relative to category leaders

Copilot

54

48

5

1

0.8704

Strongest public recommendation signal

Gemini

43

41

2

0

0.9535

Positive, but placement lags presence

Perplexity

27

27

0

0

1.0000

Strongest average rank, narrow but meaningful

Google AI Mode

104

49

55

0

0.4712

Present as context, not recommendation

Google AI Overviews

62

61

1

0

0.9839

Positive, but top-three conversion is low

Methodology

  1. This report is a benchmark-based analysis of Clearly Filtered's AI recommendation visibility in the Water Filter Systems category for October 2026. It is not a client implementation case study and does not imply that CiteWorks Studio caused any benchmark outcome.
  2. The reporting window is October 2026, with comparisons to the July 2026 baseline where the source data supports them.
  3. Six AI and search platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Mode, and Google AI Overviews. All six platform families were represented in every month of the benchmark series.
  4. The October 2026 measurement produced 713 qualified observations from an initial collection of 800 prompt-surface observations. The qualification process removed prompts that did not mention a tracked brand or were judged irrelevant to the category.
  5. The competitor universe consists of ten tracked brands: Aquasana, APEC Water Systems, Berkey, Brita, Clearly Filtered, Culligan, iSpring, Pentair, PUR, and SpringWell Water.
  6. One qualified buyer-intent cluster was measured in October 2026: Brand Recommendation, which captures direct asks for the best water filter system. The Pricing and Value and Multi-Brand Comparison clusters contained no qualified observations in the current public series.
  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 for each observation.
  8. A mention is counted when Clearly Filtered appears in an AI response to a qualified prompt, regardless of whether the brand is recommended. Presence rate is the share of qualified observations where the brand is mentioned at all.
  9. A valid recommendation is counted when Clearly Filtered receives a recommendation that fits the query. Valid recommendation coverage is the share of qualified observations where the brand receives a valid recommendation. Top-three rate is the share where the brand appears in the first three recommended positions. Rank-one rate is the share where the brand is the first recommendation.
  10. Average recommended rank covers rank-eligible recommendations only. It is the average position when the brand receives valid rank credit.
  11. The benchmark does not measure market share, attributable sales, every possible AI response, organic-search ranking, social mention volume, or private and sponsored channels. A metric movement alone does not establish causality.
  12. Source presence in AI citations is evidence about the information environment. It is not automatically proof that the source caused the recommendation.

See How AI Is Recommending Your Brand

The public benchmark shows where Clearly Filtered is winning and losing in AI recommendations. A company-level AI visibility audit maps the specific prompts, platforms, competitors, and citation sources behind those results into a prioritized action plan. It identifies exactly which buyer questions are producing recommendations for competitors instead of Clearly Filtered, and which source pages are driving those outcomes.

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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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