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

Executive Summary

Petco leads the Pet Retail Pet Supplies category in October 2026 with 33.0% valid recommendation coverage, 0.4 points ahead of Chewy at 32.6%. Valid recommendation coverage measures the share of qualified AI search responses in which a brand appears as a viable recommendation, not just a mention. The two leaders sit essentially level, and the gap to the next brand is 9.6 points.

Chewy is the strongest upward mover, up 11.7 points from 20.9% in July 2026 to 32.6% in October and up 11.3 points from September. Its rank-one rate rose 6.0 points to 19.8%, the highest first-position rate in the category. Petco also posted a significant baseline-to-current gain, up 9.0 points to 33.0%, and its rank-one rate rose 3.8 points to 6.3%.

The sharpest decliner is the PetSmart listing, which recorded 0.0% valid recommendation coverage in October, down 22.5 points from 22.5% in July and down 20.8 points from September. This is the second consecutive monthly decline for that listing and the movement is classified as significant. A separate listing, Pet Smart at 23.0%, rose 23.0 points from a zero baseline in July.

The October category is substantially stronger than the July baseline: five brands are classified as significant risers, one as a significant decliner, and two as stable. The category-level change is the product of several distinct brand movements rather than a single dominant shift. September's intermediate readings sat between the two months, with the large national brands clustered near 21% before October's separation.

Each monthly run begins with 800 prompt-surface observations (648 unique questions in July, 672 in October) across the benchmark's defined AI/search surface universe. Of those, all 800 mentioned a tracked brand or competitor in both months; 767 were relevant and 33 were irrelevant in July, 768 relevant and 32 irrelevant in October; 516 qualified observations in July and 491 in October survive both qualification stages. The August and September intermediate runs collected 800 prompt-surface observations each, with 570 and 563 qualified observations respectively.

Key Findings

AI Response Inconsistency Alerts

Questions This Section Answers

• Which pricing and factual claims did AI platforms get wrong about Petco and Tractor Supply?
• How severe were the flagged inconsistencies, and which sources supported each conflicting answer?

Two critical or high-severity factual inconsistencies were detected across four AI platforms in the October run: ChatGPT, Copilot, Gemini, and Perplexity.

Petco

High severity, pricing conflict (confidence 0.9). When asked "Where's the cheapest place to buy Bravecto for dogs?", Gemini stated that Bravecto Chews for Dogs 44-88 lbs, 12-Week Supply is available at Petco for around $84.99, citing GoodRx and BudgetPetCare. ChatGPT stated that Petco's 3-month Bravecto chews start at $59.99 for dogs 4.4-9.9 lb and that larger sizes run about $61.99 to $64.99, citing Petco's own brand page, the PetSmart pharmacy page, and VetRxDirect. AI platforms provided conflicting information about Petco's Bravecto pricing for the same product at the same retailer.

Tractor Supply

High severity, factual conflict (confidence 0.95). When asked "What is Tractor Supply Pet Store called?", Perplexity stated that Tractor Supply's standalone pet-store chain is called Petsense by Tractor Supply, citing Tractor Supply's Petsense page and two corporate pages. Copilot stated that Tractor Supply's pet store is simply called Tractor Supply Co. and that the company does not operate under a separate brand name for pets, citing three individual Tractor Supply store location pages. Responses differed on whether a separate pet-store brand exists at all, and the flagged-source review supports the Perplexity claim.

Benchmark Context

Questions This Section Answers

• How did the qualified observation set change between July and October 2026?
• Did the benchmark keep the same AI surface coverage across both months?

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

Both months returned qualified observations across all six AI surface families, keeping the measurement instrument consistent between July and October. The August and September intermediate months each qualified 570 and 563 observations with the same six-surface footprint.

Benchmark-Level Metrics

The October run qualified 25 fewer observations than July, but the share of recommendation-shaped answers rose 8.7 points from 34.5% to 43.2%. September's intermediate reading of 21.5% recommendation-shaped answers was the low point of the series; October reversed that composition shift.

AI Recommendation Trend

Questions This Section Answers

• Which pet retailers separated into the top tier in October 2026?
• Which brands recorded significant moves against the July baseline?

The category separated into two tiers this month, with the top three national retailers clustered between 23% and 33% and the remainder below 21%.

Five brands moved beyond the benchmark's normal month-to-month variation against the July baseline: Chewy, Pet Smart, Pet Supplies Plus, Petco, and Tractor Supply each recorded significant gains, while the PetSmart listing recorded a significant decline. The category-level change is therefore the product of several distinct brand movements rather than a single dominant shift, and Hollywood Feed and Petsense remained within normal variation.

What Changed This Month

Questions This Section Answers

• Why did Petco's recommendation coverage rise while its raw presence fell?
• How did Chewy become the rank-one leader while staying 0.4 points behind Petco?
• What does the PetSmart listing's move to 0.0% coverage mean when compared with the Pet Smart listing?

Petco

Petco's valid recommendation coverage rose 9.0 points from 24.0% in July to 33.0% in October, a move classified as significant, and the brand holds first place. The prior-to-current move is sharper still: Petco gained 12.4 points from 20.6% in September.

Petco's top-three recommendation rate rose 11.5 points to 29.1% against the July baseline, and its rank-one rate rose 3.8 points to 6.3%, both significant. Raw presence moved the other way, down 4.0 points from 94.6% in July to 90.6% in October, a decline the benchmark classifies as significant.

Petco is being mentioned in slightly fewer responses while converting far more of those mentions into recommendations, and into first-position recommendations in particular. Presence and recommendation coverage moved in opposite directions, which means the brand's gain came from stronger placement within the responses where it appears rather than from broader visibility.

Highest-priority diagnostic: Which prompt families drove Petco's top-three placements in October, and do they overlap with the surfaces where it holds the platform-level lead?

Chewy

Chewy's valid recommendation coverage rose 11.7 points from 20.9% in July to 32.6% in October, a significant gain that leaves the brand 0.4 points behind Petco. The prior-to-current move was also significant: Chewy gained 11.3 points from 21.3% in September.

Chewy's top-three rate rose 11.6 points to 27.9% and its rank-one rate rose 6.0 points to 19.8%, both significant. Its rank-one count of 97 of 491 observations is more than three times the next highest in the category. Raw presence was essentially flat, down 0.2 points to 85.5%, a move the benchmark does not classify as significant.

Chewy leads the category decisively on first-position recommendations while sitting a fraction of a point behind on overall coverage. The gap between Chewy's rank-one rate and Petco's, 19.8% against 6.3%, is the widest secondary-metric separation among the leading brands.

Highest-priority diagnostic: Which prompt families concentrate Chewy's rank-one placements, and does that preference hold across all six AI surfaces?

Pet Smart

The Pet Smart listing recorded 0.0% valid recommendation coverage in both July and September before reaching 23.0% in October, a 23.0-point gain classified as significant and the largest baseline-to-current move in the category. The prior-to-current move from September is likewise 23.0 points, significant.

The 23.0% figure carries the brand to third place on 113 valid recommendations out of 491 qualified observations, behind Petco at 162 and Chewy at 160. Its top-three rate in October is 20.4% and its rank-one rate is 6.5%.

This listing records its first qualified coverage in the series in October, so the baseline reading of 0.0% reflects absence from the qualified set rather than a decline to zero. Two listings named Pet Smart and PetSmart appear separately in the October capsule's tracked companies, and their readings should not be combined or treated as one brand's movement. All comparisons against July for this listing are comparisons against a month in which it held no qualified position.

Highest-priority diagnostic: Which prompts and surfaces produced this listing's October recommendations for the first time, and which retailer lost the slot it occupies?

PetSmart

The PetSmart listing recorded 0.0% valid recommendation coverage in October, down 22.5 points from 22.5% in July and down 20.8 points from 20.8% in September. Both moves are classified as significant, and this is the second consecutive monthly decline.

Its September readings place the loss in context: presence was 94.1%, top-three rate was 14.2%, and rank-one rate was 3.4% before October's zero reading. The July baseline figures were 93.8% presence, 15.5% top-three rate, and 2.9% rank-one rate. None of those supporting metrics carry a current reading for October.

The October capsule holds no current presence, top-three, rank-one, or sentiment value for this listing, so the 0.0% coverage reading should be read as the listing's absence from the qualified October set rather than as a measured collapse in mention behavior. The supporting metrics cannot confirm what happened beneath the coverage figure this month.

Highest-priority diagnostic: Is the October absence a prompt-set change, a surface-level change, or a naming and entity-resolution issue between the Pet Smart and PetSmart listings?

Tractor Supply

Tractor Supply's valid recommendation coverage rose 9.2 points from 11.6% in July to 20.8% in October, a significant gain that lifts the brand to fourth place. The prior-to-current move was also significant, up 8.7 points from 12.1% in September.

Its top-three rate rose 11.2 points to 13.9% and its rank-one rate rose 2.9 points to 3.7%, both significant against July. Raw presence rose 11.8 points to 68.2%, also significant.

Tractor Supply gained on every measured dimension at once, presence and recommendation placement together, which separates it from Petco's presence-down, coverage-up pattern. Its recommendation gain is more consistent with the brand appearing in a wider set of responses and being placed well within them.

Highest-priority diagnostic: Which product categories or store-availability prompts expanded Tractor Supply's presence, and does the Petsense relationship surface in those answers?

Pet Supplies Plus

Pet Supplies Plus's valid recommendation coverage rose 7.0 points from 9.1% in July to 16.1% in October, a significant gain that holds the brand in fifth place. The prior-to-current move was significant at 6.1 points from 10.0% in September.

Its top-three rate rose 5.6 points to 10.8%, a significant gain, while its rank-one rate rose 1.4 points to 2.0%, which the benchmark does not classify as significant. Raw presence rose 1.6 points to 35.9%, also not significant.

Pet Supplies Plus improved its standing in higher-priority slots more than its overall presence, the inverse of a pure visibility gain. The brand recorded 79 valid recommendations out of 491 qualified observations, against 160 for Chewy and 162 for Petco.

Highest-priority diagnostic: Which prompt families produced the added top-three placements, and are they concentrated in store-locator or assortment questions?

Hollywood Feed

Hollywood Feed's valid recommendation coverage rose 2.4 points from 4.5% in July to 6.9% in October, a move the benchmark does not classify as significant. The brand ranks seventh of the eight tracked listings, with 34 valid recommendations out of 491 qualified observations. Its top-three rate rose 2.7 points to 3.3%, which is significant, while its rank-one rate held flat at 0.4% and its presence rose 2.1 points to 11.8%, neither of which is significant.

The gap between Hollywood Feed's 6.9% coverage and the leaders' roughly 33% is a conversion problem, not a visibility problem. On rank-one recommendations specifically, Chewy holds 19.8% against Hollywood Feed's 0.4%, and Hollywood Feed's own presence gain to 11.8% has not moved its headline coverage figure beyond normal variation. The brand is being discussed in AI responses at a growing rate, but that presence is converting into fewer than 7 qualified recommendations out of every 100 responses, versus roughly 1 in 3 for the two category leaders. With counts this small, 16 top-three observations and 2 rank-one observations in October, the gap is not a statistical artifact of scale; it reflects a category position where two competitors convert visibility into recommendation at four to five times the rate Hollywood Feed does, and the cause of that conversion gap is not yet established in this data.

Highest-priority diagnostic: Which prompts generate Petco's and Chewy's recommendation conversions where Hollywood Feed is present but not recommended, and what evidence sources are cited in those responses?

Petsense

Petsense's valid recommendation coverage fell 0.5 points from 2.1% in July to 1.6% in October, a move the benchmark does not classify as significant, and the brand's prior-to-current reading from September is flat. The brand ranks sixth and recorded 8 valid recommendations out of 491 qualified observations, alongside 6 top-three observations and no rank-one observations.

Presence fell 8.7 points from 20.5% in July to 11.8% in October, a decline the benchmark classifies as significant, and the largest presence movement against the baseline of any brand in the category that did not go to zero.

Petsense's recommendation coverage is stable in a small-count context while its underlying presence has fallen sharply, meaning the brand is discussed in materially fewer responses but is recommended at a similar rate when discussed. The absolute base is very small, so the coverage percentage is sensitive to single observations.

Highest-priority diagnostic: Which prompt families stopped mentioning Petsense between July and October, and do those prompts overlap with the Tractor Supply and Petsense relationship surfaced in the inconsistency data?

Buyer-Intent Interpretation

Questions This Section Answers

• Which buyer-intent clusters did the October benchmark actually measure?
• What can't the current benchmark answer about pricing and head-to-head comparisons?

In October, all 491 qualified observations fell into the Brand Recommendation cluster, consistent with the 516 in July and the 570 and 563 in the intermediate months. The benchmark did not record qualified observations in the Pricing & Value or Multi-Brand Comparison clusters this month, so the buyer-intent distribution in this vertical remains concentrated on direct brand-naming responses.

The public benchmark can describe which retailer AI systems name in response to shopping questions, but it cannot yet answer which brand wins when the shopper asks about price or value, or which brand wins in an explicit head-to-head comparison. The Petco and Tractor Supply inconsistencies reported above both arose from pricing and factual questions outside this qualified cluster, which illustrates the gap: the aggregate benchmark does not measure the pricing conversation even when AI surfaces are producing conflicting answers within it.

Brand Opportunity Summary

Questions This Section Answers

• Which brands need attention based on their October coverage and current signal?
• What is the highest-priority diagnostic for each brand in the summary?

The benchmark identifies where attention is warranted across the category; a company-level analysis is needed to explain why these patterns emerged.

Evidence Behind the Benchmark

Questions This Section Answers

• What data underlies the aggregate recommendation metrics?
• How does the benchmark treat source presence in relation to causation?

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 LLM Authority Index AI Visibility Market Discovery research program.

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

Report-Specific Interpretation Notes

• Small-count movement: Petsense and Hollywood Feed operate on small absolute counts (8 and 34 valid recommendations in October respectively). Their percentage movements carry limited weight individually and should be read with the counts beside them.
• Qualified denominator vs raw collection: Brand-level rates are calculated within the 491 qualified observations, not the 800 raw prompt-surface observations. The funnel describes the difference.
• Directional analysis: Month-over-month movement identifies changes worth investigating; it does not by itself establish the cause of those changes. The simultaneous gains across five brands in October may reflect a shared driver in the prompt mix or AI output composition that the aggregate data cannot isolate.
• Concurrent listing names: The October set tracks both Pet Smart and PetSmart as separate listings. Their readings are reported separately and should not be combined.

Next Step

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

The percentages in this report describe the aggregate output of AI search systems across a shared set of prompts. They do not explain which high-intent prompts a brand wins, which competitor takes the recommendation when it loses, what attributes AI systems associate with each option, or which external sources shape those answers.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy.

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