Cat Food, Litter and Cat Care: AI Visibility Market Discovery Index

Benchmark Summary

Questions This Section Answers

• Which cat food and litter brand led the October 2026 benchmark?
• How wide was the gap between the leading brand and the runner-up?
• Which brands recorded the largest coverage gain and decline?

Tiki Cat led the Cat Food, Litter and Cat Care benchmark in October 2026 with valid recommendation coverage of 60.9%, up from 60.2% in the July 2026 baseline. The gap to the next brand, Weruva at 47.2% in October 2026, stood at 13.7 percentage points. World's Best Cat Litter recorded the largest coverage increase, rising to 25.0% in October 2026 from 20.3% in July 2026, a gain of 4.7 percentage points that moved beyond normal month-to-month variation and marked a second consecutive month of gains. Pretty Litter recorded the largest coverage decline, falling to 3.5% in October 2026 from 6.8% in July 2026, a drop of 3.3 percentage points, and declined in each of the three months since the baseline.

The benchmark began with 800 prompt-surface observations in each month and produced 665 qualified observations in October 2026 after qualification.

Current Benchmark at a Glance

Qualified surface breadth counts the number of canonical AI surface families with at least one qualified observation. The six families are ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. In the intermediate months, the benchmark recorded 668 qualified observations in August 2026 and 672 in September 2026.

For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Cat Food, Litter and Cat Care

Research Scope and Qualification

Questions This Section Answers

• How many observations made it into the public benchmark denominator?
• Why is the qualified benchmark narrower than the raw collection?
• What is the difference between source observations, relevant observations, and qualified benchmark observations?

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. AI Visibility Market Discovery Methodology.

Current Brand Standings

Questions This Section Answers

• Which brands rank highest by valid recommendation coverage?
• How do presence rate, valid recommendation coverage, and top-three rate differ?
• Which brands have the weakest coverage among those tracked?

How to Read the Standings

Presence rate measures the share of qualified observations where a brand appears in the AI response at all. Valid recommendation coverage measures the share of qualified observations where a brand is recommended. Top-three rate measures the share of observations where a brand appears among the top three recommendations. Rank-one rate measures the share of observations where a brand is the first recommendation. Net sentiment is the share of positive mentions minus negative mentions among total mentions for the brand.

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

Recommendation Coverage Movement

Questions This Section Answers

• Which brands moved beyond normal month-to-month variation?
• How has recommendation coverage shifted for each tracked brand since the July baseline?
• Which brand has declined in every month since the baseline?

Between September 2026 and October 2026, Dr. Elsey's moved up 6.6 points, a rise beyond normal month-to-month variation, while World's Best Cat Litter rose 5.1 points, also beyond normal variation. Tiki Cat, Weruva, and Smalls moved within normal variation over the same period.

Largest Increase: World's Best Cat Litter

World's Best Cat Litter recorded the largest rise against the baseline in October 2026, up 4.7 points to 25.0% from 20.3% in July 2026. The brand gained in the two most recent months, moving from 19.9% in September 2026 to 25.0% in October 2026 and from 18.6% in August 2026 to 19.9% in September 2026, with the October movement beyond normal variation. The brand's top-three rate also rose to 20.2% in October 2026 from 17.0% in July 2026.

Largest Decline: Pretty Litter

Pretty Litter recorded the only decline beyond normal variation in the October 2026 benchmark, with valid recommendation coverage down to 3.5% in October 2026 from 6.8% in the July 2026 baseline. The brand declined in each of the three months since the baseline, moving from 6.8% in July 2026 to 5.1% in August 2026, then to 3.9% in September 2026, and then to 3.5% in October 2026. Presence rate followed the same path, down to 4.8% in October 2026 from 8.5% in the baseline.

Category Leader: Tiki Cat

Tiki Cat remained the coverage leader in October 2026 at 60.9%, matching its July 2026 baseline of 60.2%. The brand reached a series high of 63.0% in August 2026 before easing in September 2026 and recovering in October 2026. Its top-three rate moved up to 45.0% in October 2026 from 43.2% in July 2026, while its rank-one rate moved down to 12.3% from 13.2% in the baseline. The gap to the next brand widened to 13.7 points against Weruva at 47.2% in October 2026.

Recommendation Placement Snapshot

Questions This Section Answers

• How does rank-one placement differ among leading brands?
• Can a brand have lower top-three coverage but higher first-position placement?

Coverage alone does not show how prominently a brand is recommended. Among the leading brands, rank-one rates reveal meaningful differences in first-position placement.

Smalls held a lower top-three rate than Tiki Cat in October 2026, yet its rank-one rate of 22.4% was nearly twice Tiki Cat's 12.3% in the same month. Close coverage can still hide different first-position rates.

Buyer-Intent Distribution

All qualified observations in both months fell into the Brand Recommendation class. The current public series does not yet contain qualified observations in the Pricing & Value or Multi-Brand Comparison classes.

Historical Measurement Record

This is an evergreen benchmark URL. New measurements are added to the same report.

Evidence and Source Layer

Questions This Section Answers

• What does the benchmark capture about sources and citations behind AI recommendations?
• Does source presence prove that a citation caused a brand 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, attributable sales, every possible AI response, organic-search ranking, social mention volume, private or sponsored channels, or causality from a metric movement alone.

Top 10 Cited Domains

Questions This Section Answers

• Which domains were cited most across AI platform responses?
• Are citations concentrated in a few sources or broadly distributed?
• Did any tracked brand's own domain appear among the top cited sources?

Across all AI platform responses in this measurement period, 6,950 citations were observed pointing to 1,121 unique domains.

Citations are broadly distributed rather than concentrated in a few domains, with the top 10 accounting for less than half of all citations. No tracked brand's own domain appeared in the top 10. The list is led by general platforms (Google, YouTube, Facebook, Reddit), a category-specific review site (cats.com), a retailer (Chewy, Amazon), and editorial or health sources (Forbes, PetMD, Healthline), suggesting that product discovery in this vertical draws on a mix of community commentary, mainstream commerce, and expert editorial content.

About This Benchmark

The LLM Authority Index AI Visibility Market Discovery Index tracks how brands appear in AI-generated answers across the six canonical AI surface families, measuring presence, recommendation coverage, placement, and sentiment over time.

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

Get a Company-Level Authority Index

The public industry benchmark shows category-level standings. A company-level Authority Index can go deeper.

Get my free AI Company Index