How AI Search Is Recommending Pet Retail / Pet Supplies: Monthly Trends

Executive Summary

The pet retail category held its shape in August 2026: every tracked brand's month-over-month movement in valid recommendation coverage fell within normal variation, and the category summary classified all seven brands as stable. Chewy posted the category's largest single-brand gain, up 4.7 points to 25.6% coverage, while PetSmart added 2.2 points to move into second place. The two declines in the category were nominal: Tractor Supply and Hollywood Feed each slipped less than half a point.

The practical effect of Chewy's gain was a change at the top of the leaderboard. In July 2026, Petco led the category at 24.0%, ahead of PetSmart at 22.5% and Chewy at 20.9%, a 3.1-point spread from first to third place. In August 2026, Chewy moved into the lead at 25.6%, with PetSmart at 24.7% and Petco at 24.4%, narrowing the top-three spread to 1.2 points. The category now shows a tightly clustered top three rather than a single brand with a clear lead.

Chewy's coverage gain arrived alongside a widening gap at the other end of the standings: the distance between Chewy and Tractor Supply grew from 9.3 points in July to 14.4 points in August, the widest gap in the category and one that has widened in both months tracked.

One placement-level pattern is worth flagging even though the category overall was quiet. Hollywood Feed's top-three recommendation rate rose from 0.6% to 2.1%, a gain built on a small base of observations. This is a case where a brand gained placement quality without a matching gain in overall coverage, a pattern worth investigating at the prompt level.

Each month's analysis begins with 800 prompt-surface observations across the benchmark's defined AI/search surface universe: 648 unique questions in July 2026 and 641 in August 2026. All 800 prompts in both months mentioned a tracked brand or competitor. Of those, 767 were relevant and 33 irrelevant in July 2026, versus 773 relevant and 27 irrelevant in August 2026. The public benchmark metrics use the 516 qualified observations from July 2026 and 582 from August 2026 that survived both qualification stages.

Key Findings

Benchmark Context

The report separates the raw collection universe from the qualified analysis set. Brand-level recommendation percentages are calculated within the qualified benchmark set.

The qualified observation base grew from 516 to 582 between the two months, while the share of recommendation-shaped answers eased from 34.5% to 27.8%. These benchmark-level figures frame the brand-specific standings that follow.

Benchmark-Level Metrics

AI Recommendation Trend

Valid Recommendation Coverage: Leadership Cluster Tightens at the Top

The commercial story in August 2026 is the compression of the top of the category. Chewy moved into the lead ahead of Petco in coverage terms, and the top three brands narrowed from a 3.1-point spread in July 2026 (Petco 24.0% to Chewy 20.9%) to a 1.2-point spread in August 2026 (Chewy 25.6% to Petco 24.4%). Every brand's coverage movement stayed within normal month-to-month variation, and the category summary classified every tracked brand as stable.

No brand's movement in valid recommendation coverage exceeded normal month-to-month variation in August 2026. The reshuffling at the top of the category came from the combination of several smaller changes, the largest of which was Chewy's 4.7-point gain.

What Changed This Month

Hollywood Feed: Placement Quality Improved While Coverage Stayed Flat

Hollywood Feed's coverage was essentially unchanged, moving from 4.5% in July 2026 to 4.3% in August 2026, with 25 valid recommendations in the current month. Its top-three rate rose from 0.6% to 2.1%, a 1.5-point gain on a small base of observations, while its rank-one rate improved from 0.4% to 1.0%, representing 6 of 582 qualified observations. Raw mention presence also rose from 9.7% to 11.2%, and top-three recommendations increased from 3 to 12.

Chewy records 25.6% valid recommendation coverage in August 2026, while Hollywood Feed stands at 4.3%. The more important issue is that Hollywood Feed's improving placement quality is occurring within a much smaller recommendation footprint than the category leader's. The current benchmark does not establish what is driving that recommendation gap, making the mechanism behind it the clearest area requiring attention.

Highest-priority diagnostic: Which prompts, surfaces, competitor patterns, and evidence sources explain why Hollywood Feed reaches top-three placement in some recommendation situations but remains well behind the category leader in overall valid recommendation coverage?

Chewy: Largest Coverage Gain in the Category

Chewy's valid recommendation coverage rose from 20.9% in July 2026 to 25.6% in August 2026, a 4.7-point gain and the largest single-brand movement in the category this month. Its valid recommendation count increased from 108 to 149, while the qualified observation pool grew from 516 to 582.

Chewy also strengthened its placement quality. Its top-three rate rose from 16.3% to 19.9%, and its rank-one rate moved from 13.8% to 14.6%. The rank-one figure represents 85 of 582 qualified observations in August 2026, up from 71 of 516 a month earlier.

The distinction worth noting: Chewy's raw mention presence declined from 85.7% to 82.3%, yet its recommendation coverage rose. This means the brand is being surfaced less often but recommended more decisively when it appears.

Highest-priority diagnostic: which prompt types and surfaces drove the 41 additional valid recommendations, and which competitor lost those recommendations.

PetSmart: Second-Place Gain in a Tight Cluster

PetSmart moved from 22.5% in July 2026 to 24.7% in August 2026, a 2.2-point gain that placed it just ahead of Petco in the rankings. Its valid recommendation count rose from 116 to 144.

The placement story is stronger than the headline. PetSmart's top-three rate rose from 15.5% to 18.7%, and its rank-one rate nearly doubled from 2.9% to 5.0%, representing 29 of 582 qualified observations in August 2026.

The notable distinction: PetSmart leads the category on raw mention presence at 94.7% in August 2026, narrowly ahead of Petco's 94.5%, and it converted that presence into a near-doubling of rank-one recommendations.

Highest-priority diagnostic: which evidence sources and prompt phrasings produced the jump in rank-one recommendations from 15 to 29.

Tractor Supply: Modest Pullback Despite Rising Presence

Tractor Supply's coverage eased from 11.6% in July 2026 to 11.2% in August 2026, a 0.4-point decline, with 65 valid recommendations in the current month. Its rank-one rate improved from 0.8% to 1.6%.

The pattern is counterintuitive: raw mention presence rose from 56.4% to 60.5%, and top-three rate rose from 2.7% to 4.8%, yet overall coverage slipped.

The distinction worth noting: the gap between Chewy and Tractor Supply widened from 9.3 points to 14.4 points across the two months, making Tractor Supply the brand most separated from the category leader.

Highest-priority diagnostic: where the additional mentions appeared without converting to valid recommendations, and which competitor captured those slots.

Petsense: Presence Dropped, Coverage Held

Petsense held coverage steady at 2.1% across both months, with 12 valid recommendations in August 2026. Its raw mention presence, however, dropped from 20.5% to 11.7%, an 8.8-point decline.

The operational detail: presence fell from 106 to 68 mentions, while valid recommendations stayed roughly flat at 11 to 12. The brand is being mentioned less often but converting a similar share to recommendations.

The distinction: a large drop in presence with flat coverage suggests Petsense lost visibility in contexts that did not produce recommendations, which may matter for longer-term discovery.

Highest-priority diagnostic: which surfaces and prompt types accounted for the 38 lost mention opportunities.

Buyer-Intent Interpretation

The qualified observations in both July and August 2026 fell entirely into the Brand Recommendation cluster. The analysis therefore measures which pet retailers AI systems choose when buyers ask for a recommendation, and it cannot yet speak to how AI systems characterize pricing trade-offs or conduct head-to-head comparisons. The commercial question those empty clusters raise: whether recommendation strength alone is enough to influence purchase decisions, or whether price and comparison narratives, shaped by external sources, matter more at later stages of the buying journey.

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 Industry Market Discovery research program.

• AI Industry Market Discovery
• AI Industry Market Discovery Methodology
• AI Industry Market Discovery Metrics
• AI Industry Market Discovery Standards

Report-Specific Interpretation Notes

• Small-count movements: Hollywood Feed's top-three gain and Petsense's presence decline reflect small absolute counts and are best read as directional signals rather than definitive trends.
• Qualified denominator vs raw collection: public percentages use the qualified observation counts (516 in July 2026, 582 in August 2026), which are narrower than the raw prompt funnel of 800 prompts per month.
• Directional analysis: month-over-month movement identifies changes worth investigating; it does not by itself establish the cause of those changes.

Next Step

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

Beneath the aggregate coverage percentages sit the questions that actually determine commercial outcomes: which high-intent prompts a brand wins, which competitor takes the recommendation when the brand loses, what attributes AI systems associate with each option, and which external sources shape those answers. The public benchmark shows where the gaps are; it does not explain the mechanism.

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 category-level findings into a specific action plan for a single brand.

Request an AI visibility audit