How AI Search Is Recommending Dog Toys and Pet Enrichment Products: Monthly Trends

Executive Summary

Kong Company remains the category leader in October 2026, holding 84.3% valid recommendation coverage and separating from second-place West Paw (64.1%) by 20.2 points. The brand's lead has stayed wide across the four-month series, and October marks its second consecutive month of marginal gain, up 0.4 points from 83.9% in September 2026. The category's competitive order at the top is unchanged.

The defining movement this month is at the entry level. Two brands that had never appeared in the qualified benchmark set both emerged from zero presence to record their first tracked coverage in October 2026. Chuckit! (brand of Petmate/Doskocil Mfg) rose 10.3 points to 10.3% coverage and BarkBox (parent: Bark Inc) rose 1.1 points to 1.1%, both flagged as significant risers. The benchmark flagged no significant decliners this month.

Nylabone recorded the category's sharpest decline against baseline, down 4.4 points from 44.2% in July 2026 to 39.8% in October 2026, though the change stayed within normal variation after a partial recovery. West Paw eased 2.7 points against baseline to 64.1%, and Outward Hound rose 1.9 points to 48.5%. Neither movement was significant.

Four months into the series, the category's shape is clear: one dominant leader, a stable second tier, and a newly activated third tier where two previously absent brands have begun appearing. October 2026 qualified 610 observations, down from 645 in September 2026.

Each monthly benchmark run begins with 800 prompt-surface observations across the benchmark's defined AI/search surface universe. In July 2026, those 800 observations covered 523 unique questions, with 799 mentioning a tracked brand or competitor, 747 relevant and 52 irrelevant. In October 2026, the 800 observations covered 572 unique questions, with 800 mentioning a tracked brand or competitor, 730 relevant and 70 irrelevant. Brand-level percentages in this report are calculated against the qualified observation count that survives both qualification stages: 629 in July 2026 and 610 in October 2026. Intermediate months qualified 641 observations in August 2026 and 645 in September 2026.

Key Findings

Benchmark Context

Questions This Section Answers

• Which counts define the raw prompt-surface collection versus the qualified benchmark set?
• How did the qualified observation count and recommendation-shaped answer share change between July and October 2026?

Brand-level recommendation percentages are calculated within the qualified benchmark set only, not the raw prompt-surface collection. The report separates the raw collection universe from the qualified analysis set used for brand-level metrics.

Recommendation-shaped answers and valid recommendation shortlists are counted at the level of the full qualified set before being broken out by brand. The table below summarizes those category-wide figures for both months in the series.

Benchmark-Level Metrics

The intermediate months show a steady climb in recommendation-shaped answer share before October: 67.1% in August 2026 and 73.2% in September 2026. Valid recommendation shortlist share held near 87.8% before rising to 93.3% in October 2026, a step change worth noting. The qualified observation count eased from 629 in July 2026 to 641 in August 2026 and 645 in September 2026 before declining to 610 in October 2026.

AI Recommendation Trend

A Stable Leader With a Newly Active Third Tier

Kong Company extended its unbroken run as category leader into a fourth month, and the notable shift below the top two is the arrival of two previously absent brands into the qualified set. The category's competitive order at the top three positions is otherwise unchanged across the series.

Chuckit! and BarkBox each exceeded normal month-to-month variation, both flagged as significant risers against baseline. No brand crossed the significance threshold on the downside. Among the four established brands, no single movement was large enough to register individually; the category-level change reflects the combination of several smaller shifts.

What Changed This Month

Chuckit! (brand of Petmate/Doskocil Mfg)

Chuckit! entered the qualified benchmark set for the first time in October 2026, recording 10.3% valid recommendation coverage, up 10.3 points from a July 2026 baseline of 0.0%. The movement was flagged as significant in both the baseline and prior-month comparisons.

The rise is supported across placement and presence. Raw mention presence reached 11.5% (up 11.5 points from baseline), top-three rate reached 8.0% (up 8.0 points), and rank-one rate reached 1.1% (up 1.1 points). The brand was present in 70 of 610 qualified observations and held valid recommendations in 63 of them.

The distinction to note is that this is a genuine entry into the benchmark, not a rounding artifact. Chuckit!'s presence is concentrated on a small share of observations, so its 10.3% coverage rests on a relatively narrow slice of the qualified set. Its gap to Kong Company has narrowed from 86.0 points at baseline to 74.0 points in October 2026.

Highest-priority diagnostic: Which specific prompt categories and AI surfaces first surfaced Chuckit!, and whether that presence is concentrated on a narrow set of questions.

BarkBox (parent: Bark Inc)

BarkBox also entered the qualified benchmark set for the first time in October 2026, recording 1.1% valid recommendation coverage, up 1.1 points from a July 2026 baseline of 0.0%. The movement was flagged as significant, reflecting the shift from complete absence to measured presence.

The supporting counts are small. Raw mention presence reached 2.1% for the month, top-three rate reached 0.5%, and rank-one rate reached 0.3%. BarkBox was present in 13 of 610 qualified observations and held valid recommendations in 7 of them. Net sentiment registered 0.6, lower than the other tracked brands.

The distinction worth noting is scale. BarkBox's emergence rests on a very small number of observations, so its coverage figure should be read with appropriate caution relative to brands with hundreds of supporting observations. Its gap to Chuckit! has narrowed from 0.0 points at baseline to 9.2 points in October 2026.

Highest-priority diagnostic: Which prompts first surfaced BarkBox, and whether that presence reflects a durable shift or a small-count fluctuation.

Nylabone

Nylabone's valid recommendation coverage stood at 39.8% in October 2026, down 4.4 points from the July 2026 baseline of 44.2%. Against September 2026, when coverage was 34.9%, the brand rose 4.9 points, and that recovery was not flagged as significant.

The baseline decline is carried largely by placement rather than presence. Top-three rate fell 7.8 points from 34.5% in July 2026 to 26.7% in October 2026, the largest placement-level shift in the brand's supporting metrics this period. Raw mention presence eased 4.2 points to 43.0%, and rank-one rate held nearly flat at 1.0% (down 0.1 points). The brand held valid recommendations in 243 of 610 qualified observations.

The distinction that matters is the split between visibility and recommendation strength. Nylabone's presence has softened only modestly against baseline, but its placement within answers has weakened more sharply, meaning it appears in the conversation without converting that presence into top-three recommendations as often as it did in July 2026.

Highest-priority diagnostic: Which prompts account for the drop in top-three placements, and which competing brand took the recommendation position instead.

West Paw

West Paw held 64.1% valid recommendation coverage in October 2026, down 2.7 points from the July 2026 baseline of 66.8% and down 2.4 points from September 2026. Neither movement was flagged as significant.

The supporting metrics show a mixed picture. Raw mention presence eased 3.2 points against baseline to 65.2%, while top-three rate rose 1.5 points to 47.5% and rank-one rate rose 1.2 points to 4.9%. The brand was present in 398 of 610 qualified observations and held valid recommendations in 391 of them.

The distinction worth noting is that increased presence is not the driver here. West Paw is being mentioned slightly less often than at baseline, yet it is being placed in top-three positions slightly more often when it does appear, which suggests its placement quality has held even as its reach has narrowed. West Paw remains second in the category, 20.2 points behind Kong Company and 15.6 points ahead of Outward Hound.

Highest-priority diagnostic: Which surfaces or prompt categories account for the stronger top-three placement despite narrower mention presence.

Kong Company

Kong Company's valid recommendation coverage reached 84.3% in October 2026, down 1.7 points from the July 2026 baseline of 86.0%. Against September 2026, the brand rose 0.4 points, its second consecutive marginal gain, and the baseline decline was not flagged as significant.

The placement picture strengthened against baseline. Rank-one rate rose 3.9 points to 66.9%, and top-three rate rose 2.0 points to 81.5%. Raw mention presence eased 2.3 points to 87.4%. The brand was present in 533 of 610 qualified observations, held valid recommendations in 514 of them, and secured rank-one in 408 observations.

The distinction that matters is the gap between reach and dominance. Kong Company is mentioned slightly less often than at baseline but wins the highest recommendation position more often, indicating that its answer share has narrowed while its grip on the top slot has tightened. Its lead over West Paw widened from 19.2 points at baseline to 20.2 points in October 2026.

Highest-priority diagnostic: Which prompts dropped the brand out of top-three placements, and which competitor took the recommendation slot in those answers.

Outward Hound

Outward Hound held 48.5% valid recommendation coverage in October 2026, up 1.9 points from the July 2026 baseline of 46.6% and down 2.2 points from September 2026. Neither movement was flagged as significant.

The supporting metrics were consistent. Raw mention presence rose 1.5 points against baseline to 49.7%, top-three rate rose 2.6 points to 38.7%, and rank-one rate rose 1.9 points to 8.4%. The brand was present in 303 of 610 qualified observations and held valid recommendations in 296 of them.

The distinction worth noting is position within the middle tier. Outward Hound has held its third-place standing across the series while Nylabone's placement weakened, and its margin over Nylabone now stands at 8.7 points in coverage. Its deficit to second-place West Paw is 15.6 points.

Highest-priority diagnostic: Which prompts separate Outward Hound from West Paw, the brand immediately ahead of it in the ranking.

Buyer-Intent Interpretation

Questions This Section Answers

• Which buyer-intent cluster captured all qualified observations, and which clusters recorded zero?
• What commercial questions about pricing, value, or head-to-head comparison can the current benchmark not yet answer?

All 610 qualified observations in October 2026 fell into the Brand Recommendation cluster, the same pattern seen across the full series since July 2026. The Pricing & Value and Multi-Brand Comparison clusters recorded zero observations in every month tracked. The public benchmark therefore captures which brand AI systems recommend when a buyer asks directly, but it cannot yet answer commercial questions about price positioning, value perception, or how brands fare when weighed head-to-head. Any conclusions about pricing or comparison outcomes would sit outside what the current data supports.

Brand Opportunity Summary

The benchmark identifies where attention is warranted; a company-level analysis is needed to explain why.

Evidence Behind the Benchmark

The aggregate metrics are built from prompt-level observations (query, surface, recommendation outcome, rank, sentiment, and citations where exposed). Company-level analysis can go deeper into prompt, competitor, surface, and evidence patterns. Source presence is not automatically treated as proof of causation.

About This Benchmark

This report is part of the CiteWorks Studio AI Visibility Industry Market research program. These are the canonical research links:

• AI Visibility Industry Market Methodology
• AI Visibility Industry Market Metrics
• AI Visibility Industry Market Standards

Report-Specific Interpretation Notes

• Movement analysis is directional, not causal; a month-over-month change identifies where attention is warranted, not why the change happened.
• The qualified denominator (610 observations in October 2026) is the correct base for all brand-level recommendation percentages, distinct from the raw 800-prompt collection universe.
• Small-count findings, such as BarkBox's 7 valid recommendations and Chuckit!'s 63, should be read with caution even where rates are flagged as significant.
• Two brands entered the qualified set in October 2026 after recording zero presence across the three prior months, and their emergence rests on a comparatively narrow base of observations.
• No brand was flagged as a significant decliner in October 2026; the two significant movements were both upward.

Next Step

The Public Benchmark Shows Where a Brand Is Winning or Losing. A Company-Level Audit Shows Why.

The aggregate percentages in this report raise questions the public benchmark cannot answer. Which high-intent prompts does Kong Company win, and which does it lose? Which prompts first surfaced Chuckit! and BarkBox, and whether that presence reflects a durable shift? What changed in the prompts where Nylabone stopped appearing in top-three placements, and which brands took those positions? What attributes do AI systems associate with each brand, and which external sources are shaping the answers?

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. It turns the benchmark's directional signals into a concrete action plan for the brands that want to reverse a decline or extend a lead.

Request an AI visibility audit