CiteWorks Studio

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

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • Kong Company remained the clear leader in September 2026 with 83.9% valid recommendation coverage and a steady 62.8% rank-one rate.
  • West Paw posted the largest gain among rising brands, increasing to 66.5% coverage while reaching a three-month high in top-three placements.
  • Nylabone fell 7.4 points to 34.9%, the only significant month-over-month movement and its second straight monthly decline.
  • BarkBox and Chuckit! had zero presence across all 645 qualified observations, indicating complete absence from AI-generated recommendations in this category.

Executive Summary

Kong Company remains the clear leader in AI-generated recommendations for Dog Toys and Pet Enrichment Products, holding 83.9% valid recommendation coverage in September 2026. The brand leads second-place West Paw (66.5%) by 17.4 points, a lead that has remained wide across the three-month series. Kong Company's coverage is effectively unchanged from August 2026, when it stood at 83.5%.

The sharpest movement this month belongs to Nylabone, which fell 7.4 points from 42.3% to 34.9% — the single largest month-over-month decline in the series and the second consecutive monthly drop for the brand. This is the only change the benchmark flagged as significant this month, making Nylabone the category's sole significant decliner. Nylabone's coverage has now fallen 9.3 points from its July 2026 baseline of 44.2%, widening its deficit to Outward Hound in the process.

West Paw recorded the largest gain among brands that moved upward, rising 2.5 points from 64.0% in August 2026 to 66.5% in September 2026, though this change stayed within normal month-to-month variation. Outward Hound eased 0.9 points to 50.7%, and Kong Company gained 0.4 points. Across the full July-to-September series, the category's competitive order has remained stable, with Kong Company leading throughout.

Each monthly benchmark run begins with 800 prompt-surface observations (523 unique questions in July 2026, 556 in August 2026, and 565 in September 2026) across the tracked AI/search surface universe. Of those, 799 mentioned a tracked brand or competitor in July and August 2026, and 800 did so in September 2026; 747 were relevant and 52 irrelevant in July, 744 relevant and 55 irrelevant in August, and 733 relevant and 67 irrelevant in September. Brand-level percentages in this report are calculated against the qualified observation count that survives both qualification stages: 629 in July 2026, 641 in August 2026, and 645 in September 2026.

AI recommendation trend

valid recommendation coverage, Jul 2026 to Sep 2026

0%25%50%75%100%Jul 2026Aug 2026Sep 2026
  • Kong Company83.9%
  • West Paw66.5%
  • Outward Hound50.7%
  • Nylabone34.9%
  • BarkBox(parent: Bark Inc)0.0%
  • Chuckit!(brand of Petmate/Doskocil Mfg)0.0%

Key Findings

Signal

September 2026 finding

Category leader

Kong Company leads with 83.9% valid recommendation coverage, holding rank-one in 405 of 645 qualified observations (62.8% rank-one rate)

Largest gain

West Paw rose 2.5 points to 66.5% coverage, with raw mention presence up 2.6 points to 69.3%

Largest decline

Nylabone fell 7.4 points to 34.9% coverage, the only significant movement this month

Significant movement

Nylabone is the sole significant decliner; no brand recorded a significant rise

Coverage breadth

All six tracked AI surface families produced qualified observations in September 2026

Qualifying rate

566 of 645 observations (87.8%) produced valid recommendation shortlists

Benchmark Context

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.

Research stage

Jul 2026

Sep 2026

What it represents

Source prompt-surface observations collected

800

800

Total prompt-surface pairs collected across the defined AI/search surface universe

Unique questions

523

565

Distinct questions after removing duplicates

Brand / competitor mentions

799

800

Prompts mentioning a tracked brand or competitor

Relevant prompts

747

733

Prompts on-topic for the category

Irrelevant prompts

52

67

Prompts off-topic or non-comparable

Qualified benchmark observations

629

645

Public denominator after all qualification stages

Qualified surface breadth

6

6

Canonical AI surface families with at least one qualified observation

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

Metric

Jul 2026

Sep 2026

Change

Qualified observations

629

645

Up 16

Companies tracked

6

6

Flat

Recommendation-shaped answer share

63.0%

73.2%

Up 10.2 points

Valid recommendation shortlist share

87.8%

87.8%

Flat

Category leader by coverage

Kong Company (86.0%)

Kong Company (83.9%)

Leader stable

The intermediate month of August 2026 saw recommendation-shaped answer share rise to 67.1% before reaching 73.2% in September 2026, a steady climb across the series. Valid recommendation shortlist share remained effectively flat across all three months, at 87.8% in July, 87.7% in August, and 87.8% in September.

AI Recommendation Trend

A Stable Leader With a Diverging Middle

Kong Company retained the top position in September 2026 with 83.9% coverage, its third consecutive month as category leader. Below the leader, the notable story is the widening gap between Outward Hound and Nylabone, driven almost entirely by Nylabone's two-month decline.

Brand

Jul 2026

Sep 2026

Movement

Sep 2026 rank

Kong Company

86.0%

83.9%

Down 2.1 points

1st

West Paw

66.8%

66.5%

Down 0.3 points

2nd

Outward Hound

46.6%

50.7%

Up 4.1 points

3rd

Nylabone

44.2%

34.9%

Down 9.3 points

4th

BarkBox (parent: Bark Inc)

0.0%

0.0%

Flat

5th

Chuckit! (brand of Petmate/Doskocil Mfg)

0.0%

0.0%

Flat

5th

Nylabone's September decline of 7.4 points was the only change the benchmark identified as significant this month. Every other brand's movement stayed within normal month-to-month variation. BarkBox and Chuckit! remained fully absent from the qualified observation set in all three months.

What Changed This Month

Kong Company

Kong Company's valid recommendation coverage rose 0.4 points, from 83.5% in August 2026 to 83.9% in September 2026 — a return to the upper end of its three-month range after easing to 83.5% in August. Against the July 2026 baseline of 86.0%, the brand remains down 2.1 points, but that change has not been flagged as significant.

The placement picture was largely stable. Top-three rate declined 6.2 points across the series, from 79.5% in July 2026 to 73.3% in September 2026. Rank-one rate held essentially flat at 62.8%, and Kong Company remained the top recommendation in 405 of 645 qualified observations in September 2026, unchanged in count from August 2026.

The distinction worth noting is between coverage and dominance: Kong Company's overall recommendation breadth has narrowed slightly across the series, but its hold on the single most valuable recommendation position has been steady. Presence rate held at approximately 89% across all three months, indicating the brand remains highly visible even where it is not recommended.

Highest-priority diagnostic: Which specific prompts moved Kong Company out of the top three positions, and which competing brand took the recommendation slot instead?

West Paw

West Paw recorded the largest gain among tracked brands this month, rising 2.5 points from 64.0% in August 2026 to 66.5% in September 2026. Against the July 2026 baseline of 66.8%, the brand is effectively flat, down just 0.3 points.

The gain was driven by a rise in raw mention presence, which climbed 2.6 points to 69.3% in September 2026, and by stronger top-three performance, up 2.1 points to 46.5% (300 of 645 observations). Rank-one rate eased 0.2 points to 2.8% (18 observations), and net sentiment held near 1.0 across all three months.

West Paw is recommended in 429 of 645 qualified observations in September 2026, its highest count of the series. The distinction that matters here is placement strength: West Paw's coverage recovered to near its July 2026 level while its top-three rate reached a three-month high.

Highest-priority diagnostic: Which surfaces or prompt categories drove West Paw's rise in top-three placements, and are those contexts where the brand was previously listed but not recommended?

Nylabone

Nylabone recorded the sharpest decline in the category this month, falling 7.4 points from 42.3% in August 2026 to 34.9% in September 2026 — the only change the benchmark flagged as significant. This marks the brand's second consecutive monthly decline, bringing its three-month slide to 9.3 points from the July 2026 baseline of 44.2%.

The erosion appears across every supporting metric. Raw mention presence fell from 46.7% to 41.1% between August and September 2026, and top-three rate dropped from 31.1% to 22.2%. Rank-one rate fell to nearly zero, at 0.5% (3 of 645 observations), down from 1.9% (12 of 641) in August 2026. Valid recommendation count fell from 271 to 225 across the same period.

The distinction that matters here is that Nylabone's decline is not merely a ranking issue: the brand is appearing in fewer AI responses overall, and when it does appear, it is recommended less often and in lower positions. Its deficit to Outward Hound has widened every month of the series, from 2.4 points in July 2026 to 15.8 points in September 2026.

Highest-priority diagnostic: Which prompts that previously surfaced Nylabone no longer mention the brand at all, and which competitor is appearing in those responses instead?

Outward Hound

Outward Hound eased 0.9 points, from 51.6% in August 2026 to 50.7% in September 2026. Against the July 2026 baseline of 46.6%, the brand remains up 4.1 points, though that gain has not been flagged as significant.

Raw mention presence held steady at 53.8%, while top-three rate eased from 37.3% in August 2026 to 33.2% in September 2026 (214 of 645 observations). Rank-one rate fell from 8.4% to 7.1% (46 observations). The brand's valid recommendation count declined from 331 to 327 across the same period.

Outward Hound's position relative to Nylabone has strengthened considerably across the series, with its coverage lead growing from 2.4 points in July 2026 to 15.8 points in September 2026. The distinction worth noting is that Outward Hound's gain over Nylabone reflects Nylabone's decline more than Outward Hound's own advance, which has leveled off over the past two months.

Highest-priority diagnostic: Where has Outward Hound's recent presence gain stalled, and which of Nylabone's lost prompts is Outward Hound actually capturing?

BarkBox and Chuckit!

Both BarkBox (parent: Bark Inc) and Chuckit! (brand of Petmate/Doskocil Mfg) recorded zero presence, zero mentions, and zero valid recommendations across all 645 qualified observations in September 2026, unchanged from July and August 2026.

These are total absences from the qualified benchmark set, not small-sample artifacts. Across the three-month series spanning 1,915 qualified observations, neither brand has appeared in AI-generated recommendations for this category.

Highest-priority diagnostic: Which category-relevant prompts and competitor responses should be examined to understand why these brands generate no surfaced presence at all.

Buyer-Intent Interpretation

Buyer-intent cluster

What it captures

Strategic question

Brand Recommendation

Prompts asking which dog toy or enrichment product to buy, seeking a direct recommendation

Which brands win the explicit recommendation and why

Pricing & Value

Prompts comparing prices, value, or cost considerations

Which brands control the price-value conversation

Multi-Brand Comparison

Prompts asking for head-to-head comparisons across brands

Which brand is favored when options are weighed

All 645 qualified observations in September 2026 fell into the Brand Recommendation cluster, the same pattern as July and August 2026. The other two clusters recorded zero observations in all three months. The public benchmark therefore captures which brand AI systems recommend when asked directly, but it cannot yet answer commercial questions about price positioning, value perception, or how brands fare when compared head-to-head. Any conclusions about pricing or comparison outcomes would go beyond what the current data supports.

Brand Opportunity Summary

Brand

Sep 2026 coverage

Current signal

Highest-priority diagnostic

Kong Company

83.9%

Leader stable at the top; dominance intact with 405 rank-one placements

Which prompts dropped the brand from top-three recommendations

West Paw

66.5%

Regained near-July coverage with a three-month-high top-three rate

Which surfaces drove the rise in top-three placements

Outward Hound

50.7%

Holding third place; lead over Nylabone now 15.8 points

Where recent presence gains have stalled

Nylabone

34.9%

Significant two-month decline; weakening presence and placement

Which prompts no longer surface the brand

BarkBox (parent: Bark Inc)

0.0%

No presence in any response

Why the brand never surfaces for the category

Chuckit! (brand of Petmate/Doskocil Mfg)

0.0%

No presence in any response

Why the brand never surfaces for the category

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 Industry Market Discovery research program. These are the canonical research links:

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 (645 observations in September 2026) is the correct base for all brand-level recommendation percentages, which are distinct from the raw 800-prompt collection universe.
  • Small-count findings, such as Nylabone's 3 rank-one placements and West Paw's 18, should be read with appropriate caution even where rates appear stable.
  • The two brands with zero presence, BarkBox and Chuckit!, are genuine absences from the qualified set, not statistical artifacts.
  • Nylabone's 7.4-point September decline is the only change the benchmark flagged as significant across the three-month series.

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? What changed in the prompts that stopped surfacing Nylabone, and which brands took the recommendation positions? When West Paw is listed but not recommended, which competitor captures the nod? 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

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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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