Clearly Filtered AI Market Strategy Report - Water Filter Systems

Answer Capsule

Clearly Filtered demonstrates that focused authority can compete with broader visibility in AI-driven water filter discovery. The brand appears in 38.0% of AI responses and converts that presence into a 29.3% valid recommendation coverage rate, a conversion ratio that outperforms several larger competitors. Its top-three rate of 19.8% and average recommended rank of 2.46 show strong shortlist positioning when recommended. The clearest opportunity is expanding recommendation conversion on Google AI Mode, where a 25.3-percentage-point visibility-to-recommendation gap represents the brand's most concentrated commercial risk. The brand's net sentiment score of 0.78 reflects consistently positive framing with zero negative visibility across all tracked platforms.

Who This Report Is For

This report is for brand, growth, and digital strategy leaders at Clearly Filtered who need to understand where the brand wins and loses in AI-generated water filter recommendations, and what specific changes can improve shortlist eligibility at the discovery moment.

Report Card

• Report type: AI Company Market Strategy Report
• Target company: Clearly Filtered
• Category / market studied: Water Filter Systems
• Reporting month: August 2026
• AI platforms tracked: ChatGPT, Microsoft Copilot, Google Gemini, Google AI Mode, Google AI Overviews, Perplexity
• Public high-intent clusters: 1 (Discovery & Evaluation)
• AI observations analyzed: 703
• Competitors tracked: Aquasana, APEC Water Systems, Berkey, Brita, Culligan, iSpring, Pentair, PUR, SpringWell Water

Executive Summary

Clearly Filtered holds a mid-tier position in AI-driven water filter recommendations, with a presence that outperforms its raw visibility and a recommendation profile that shows meaningful shortlist strength. The brand appears in 38.0% of AI responses across six platforms and earns valid recommendation credit in 29.3% of observations. This conversion ratio of roughly 77% from mention to recommendation is among the most efficient in the category, placing Clearly Filtered ahead of larger brands including Brita and PUR on this measure.

The brand's strongest cluster is the Discovery & Evaluation cluster, which represents the primary battleground for AI recommendation power in the water filter systems category. Within this cluster, Clearly Filtered achieves a 19.8% top-three rate and a 7.1% rank-one rate, with an average recommended rank of 2.46 when the brand is advanced. When AI systems recommend Clearly Filtered, they tend to place it in strong shortlist positions rather than treating it as a passing reference.

The clearest platform gap is Google AI Mode, where Clearly Filtered appears in 44.9% of responses but converts only 19.6% into valid recommendations. This 25.3-percentage-point gap is the largest visibility-to-recommendation spread in the brand's platform footprint and represents the most concentrated area of commercial risk. Google AI Overviews shows a similar pattern: 24.6% presence against 23.5% recommendation coverage, with a rank-one rate of 5.5% that lags the brand's performance elsewhere.

The brand's sentiment profile is a clear structural asset. Clearly Filtered holds a net sentiment score of 0.78 with zero negative visibility across all tracked platforms. Every mention is either positive or neutral, with no cautionary framing eroding trust at the discovery moment. The brand's strongest platform sentiment is on ChatGPT and Perplexity, where it achieves a perfect 1.00 score. This framing quality distinguishes Clearly Filtered from Brita, which scores 0.45, and PUR, which scores 0.61, both of which carry negative framing in a portion of AI responses.

Competitor displacement pressure is most acute on Google AI Mode, where Aquasana achieves a 67.0% recommendation coverage rate and iSpring reaches 70.1%. Clearly Filtered's 19.6% coverage rate on this platform reflects a category where the source layer is currently weighted toward competitors. Addressing that imbalance is the clearest path to improving shortlist eligibility where buyer discovery is most active.

What Clearly Filtered Is Winning

Clearly Filtered wins the efficiency game. With a 38.0% raw mention presence rate and a 29.3% valid recommendation coverage rate, the brand converts a higher share of visibility into recommendation credit than Brita, PUR, and Culligan, all of which show higher presence but lower recommendation efficiency. Efficiency is the more commercially meaningful metric at this stage of AI-driven discovery.

The brand wins on framing quality. A net sentiment score of 0.78 with zero negative visibility across all platforms is a structural advantage over most tracked competitors. When AI systems surface Clearly Filtered, the framing is consistently positive or neutral. There is no cautionary language, no comparative anchor role, and no negative association eroding recommendation confidence.

The brand's strongest platform performance is on Copilot, where it achieves a 46.3% valid recommendation coverage rate and a 15.9% rank-one rate. This is the highest rank-one rate in the brand's platform footprint and demonstrates that Clearly Filtered can reach the top shortlist position when the source layer supports it. Copilot is the clearest proof point that the brand's recommendation architecture is capable of producing dominant results.

Where Clearly Filtered Has the Clearest AI Visibility Gaps

The clearest gap is on Google AI Mode. Clearly Filtered appears in 44.9% of responses on this platform but converts only 19.6% into valid recommendations, a 25.3-percentage-point gap that is the largest in the brand's footprint. The brand is being seen but not consistently advanced, which points to a source layer that is not providing AI systems with sufficient confidence to shortlist the brand in this environment.

Google AI Overviews shows a related pattern. The brand appears in 24.6% of responses and converts 23.5% into recommendations, but its rank-one rate of 5.5% and top-three rate of 13.1% both lag behind performance on Copilot and Gemini. Presence on this platform is established; shortlist positioning is not.

Competitor displacement is most visible on Google AI Mode, where Aquasana's 67.0% and iSpring's 70.1% recommendation coverage rates illustrate how wide the shortlist gap has grown. Clearly Filtered's 19.6% coverage on the same platform reflects the scale of ground the brand needs to recover in the category's highest-volume discovery environment.

The brand also shows limited presence on Perplexity, appearing in only 17.9% of responses. While its conversion on this platform is strong and its average recommended rank of 1.67 is the brand's best, the low presence limits overall market capture and leaves significant upside untapped.

Biggest Opportunity

The biggest opportunity for Clearly Filtered is closing the visibility-to-recommendation gap on Google AI Mode. The brand already appears in 44.9% of responses on this platform. The problem is not awareness; it is conversion. Only 19.6% of those appearances result in valid recommendation credit, compared to the brand's 46.3% conversion rate on Copilot.

Google AI Mode is the highest-volume platform in the tracked set at 194 observations, and it is where Aquasana and iSpring have built their category dominance. The opportunity is to strengthen the source layer that drives AI systems to advance Clearly Filtered from mention to recommendation in this environment specifically. That means improving the retrievability of certification data, contaminant removal evidence, and third-party validation in the source types that Google AI Mode draws on most heavily. A sustained improvement in conversion on this platform would produce the largest increase in shortlist eligibility of any single change the brand could make.

Prompt Evidence

Copilot / Discovery & Evaluation Prompt: "What is the best water filter for drinking?" Result: Clearly Filtered earns strong recommendation credit with a 46.3% valid recommendation coverage rate and a 15.9% rank-one rate, the brand's strongest platform performance in the tracked dataset.

Google AI Mode / Discovery & Evaluation Prompt: "What is the most effective home water filtration system?" Result: Clearly Filtered appears in 44.9% of responses but converts only 19.6% into valid recommendations, reflecting the platform's 25.3-percentage-point visibility-to-recommendation gap.

ChatGPT / Discovery & Evaluation Prompt: "What is the best filtration for drinking water?" Result: Clearly Filtered achieves a 1.00 sentiment score with a 22.9% recommendation coverage rate and a 2.21 average recommended rank, showing consistent positive framing and strong shortlist positioning on this platform.

Perplexity / Discovery & Evaluation Prompt: "Which type of water filter is best?" Result: Clearly Filtered appears in 17.9% of responses with a 1.67 average recommended rank, indicating strong positioning when the brand is recommended despite low overall presence.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the full prompt-level response tables for Google AI Mode and Google AI Overviews to identify exactly where Clearly Filtered is mentioned but not advanced into shortlist positions.

Phase 2: Recommendation Readiness Plan Prioritize the source types that drive Google AI Mode recommendations, with a focus on comparison content, third-party certification validation, and contaminant removal specificity.

Phase 3: Owned Answer Layer Buildout Strengthen owned content around filtration effectiveness, certification standards, and product specifications to give AI systems more reliable, structured material to synthesize from.

Phase 4: Citation / Authority Layer Development Build a deeper source footprint across editorial reviews, comparison pages, and independent testing discussions to increase retrieval paths and support recommendation confidence on the platforms where conversion is weakest.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track the Google AI Mode conversion gap monthly to measure whether source-layer improvements are moving the brand from mention to recommendation over time.

Why This Matters

AI presence alone does not produce shortlist eligibility in the water filter systems category. Clearly Filtered is visible across six platforms but is not consistently advanced into shortlist positions on the platform where the most discovery is happening. The brands that win AI recommendations are those that convert visibility into recommendation credit, and the gap between the two is where commercial risk is concentrated.

The next move for Clearly Filtered is targeted correction of the prompt, page, and citation layers on Google AI Mode. The brand already has the sentiment profile and the recommendation efficiency to compete at the top of this category. What it needs is a source footprint that gives AI systems the confidence to advance it from mention to recommendation in the environment where buyer decisions are most actively forming.

Core Metrics

• Mentions: 267
• Valid recommendations: 206
• Top 3 recommendation count: 139
• Rank #1 recommendation count: 50
• Average recommended rank: 2.46
• Positive mentions: 208
• Neutral mentions: 59
• Negative mentions: 0
• Raw mention presence rate: 38.0%
• Valid recommendation coverage: 29.3%
• Top 3 recommendation rate: 19.8%
• Rank #1 recommendation rate: 7.1%
• Strongest cluster by recommendation behavior: Discovery & Evaluation
• Strongest platform by recommendation behavior: Copilot

Sentiment Score

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

For Clearly Filtered: (208 x 1 + 59 x 0 + 0 x -1) / 267 = 0.78

This score matters because unclassified mention counts are misleading. A brand can appear in many AI responses without receiving positive recommendation framing. Clearly Filtered's score of 0.78 reflects consistently positive framing across all tracked platforms, but it does not mean every mention is a recommendation. 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 commercial outcomes. Counting all mentions as wins is bad measurement. Classified sentiment is the required starting point before interpreting what AI visibility is actually doing for a brand.

Sentiment by Platform

Methodology

1. Report orientation: This is a benchmark-based AI market strategy report for Clearly Filtered, drawn from the LLM Authority Index 2026 AI Discovery Index for Water Filter Systems. It is not a client implementation case study and does not reflect a CiteWorks Studio engagement.
2. Reporting window: Data extracted August 1, 2026, representing the August 2026 reporting month.
3. Platforms tracked: ChatGPT, Microsoft Copilot, Google Gemini, Google AI Mode, Google AI Overviews, and Perplexity.
4. Observation count: 703 relevant observations analyzed from 800 eligible prompts. The dataset identifies 607 unique questions. Unique prompt-level counts in the public version may not capture the full cluster scope.
5. Competitor universe: Aquasana, APEC Water Systems, Berkey, Brita, Clearly Filtered, Culligan, iSpring, Pentair, PUR, and SpringWell Water. This universe covers the major brands visible in AI responses but is not a complete market census.
6. Public clusters used: The public dataset covers the Discovery & Evaluation cluster, including prompts such as "best water filter system," "most effective home water filtration," and "highest rated water filtration system." The full LLM Authority Index report includes comparison, pricing, and decision-stage clusters not reflected in this public version.
7. Stage 0 role: Raw AI observations were extracted and classified before aggregation. This stage captures whether a brand is mentioned, how it is framed, and whether it receives valid recommendation credit. Stage 0 classification is the basis for all mention, sentiment, and recommendation counts.
8. Definition of a mention: A mention is recorded when the company appears in an AI-generated response, regardless of framing, position, or recommendation status.
9. Definition of a valid recommendation: A valid recommendation is a positive, shortlist-quality appearance in which the brand receives recommendation credit. Neutral references, cautionary mentions, comparison anchors, and brand-listed-only appearances do not qualify as valid recommendations.
10. Ranking and scoring metrics used: Valid recommendation coverage, top-three rate, rank-one rate, average recommended rank, net sentiment score, and positive visibility rate. Monetary metrics from the source data are omitted from this public version.
11. Ahrefs and search data: No Ahrefs dataset was supplied for this report. Search-layer and source footprint observations are drawn from the LLM Authority Index benchmark only.
12. Limitations: This is a point-in-time benchmark. AI outputs can change based on platform updates, source availability, and model changes. The public version omits monetary metrics and covers one cluster. Results reflect observed AI behavior during the reporting window and should not be read as permanent category positions.

See How AI Is Recommending Your Brand

CiteWorks Studio maps where your brand appears in AI-generated recommendations, which competitors are being recommended instead, which prompts carry the most commercial risk, and which sources are shaping AI answers at the discovery moment. If you want to understand the specific gap between Clearly Filtered's visibility and its recommendation conversion, an AI Visibility Audit is the starting point.