CiteWorks Studio

PetSmart AI Market Strategy Report - Pet Retail Pet Supplies

Mark HuntleyBy Mark HuntleyFounder and CEO
9 minutes read

Key Takeaways

  • PetSmart appeared in 94.1% of qualified AI responses, indicating strong visibility across the pet supplies market.
  • Despite that visibility, PetSmart converted only 20.8% of observations into valid recommendations, leaving a large conversion gap.
  • PetSmart ranked second in recommendation coverage, just 0.5 points behind Chewy, but lagged badly in rank-one recommendations at 3.4% versus Chewy's 11.2%.
  • Google AI Overviews was PetSmart's strongest platform for recommendation behavior, while Copilot showed the clearest weakness with zero rank-one recommendations.

Answer Capsule

PetSmart holds near-saturated AI presence in the Pet Retail Pet Supplies category at 94.1%, yet converts that presence into a 20.8% valid recommendation coverage rate, placing it second behind Chewy by just 0.5 points. The brand's clearest strength is its rank-one recommendation rate of 3.4%, the second highest in the category, which improved modestly even as overall coverage declined from July to September 2026. Its clearest weakness is a recommendation conversion gap: PetSmart is discussed in nearly every AI response but is actually recommended in only about one in five. The clearest opportunity lies in converting its strong neutral visibility base into first-position recommendations across high-intent discovery prompts, where Chewy currently holds an outsized lead.

Who This Report Is For

This report is for PetSmart's brand strategy, digital marketing, and ecommerce leadership teams tracking how AI-generated recommendations are shaping pet supply retailer selection in the September 2026 market.

Report Card

  • Report type: AI Company Market Strategy Report
  • Target company: PetSmart
  • Category / market studied: Pet Retail Pet Supplies
  • Reporting month: September 2026
  • AI platforms tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Mode, Google AI Overviews
  • Public high-intent clusters: Best Pet Supplies & Pet Store Discovery (active); Pet Store & Pet Supply Brand Comparisons and Pet Supply Store Pricing & Value (no qualified observations)
  • AI observations analyzed: 563 qualified observations
  • Competitors tracked: Chewy, Petco, Pet Supplies Plus, Tractor Supply, Hollywood Feed, Petsense

Executive Summary

PetSmart enters September 2026 with a commanding presence footprint but a recommendation profile that trails its visibility. The brand appeared in 94.1% of qualified AI responses, essentially tied with Petco for the highest presence rate in the category, yet recorded a valid recommendation coverage of 20.8%, placing it second behind Chewy at 21.3%. This gap between presence and recommendation conversion is the defining structural feature of PetSmart's current AI market position.

The sentiment picture is constructive. PetSmart recorded 187 positive mentions, 338 neutral mentions, and only 5 negative mentions across 563 qualified observations, producing a net sentiment score of 0.34. The brand holds a positive visibility rate of 33.2% and a neutral visibility rate of 60.0%, meaning the vast majority of its AI mentions carry either favorable or non-negative framing. No significant negative narrative is emerging in the public evidence layer.

PetSmart's strongest cluster is Best Pet Supplies & Pet Store Discovery, the only buyer-intent cluster with qualified observations in the September benchmark. Within this cluster, the brand recorded 117 valid recommendations out of 563 observations, with 80 top-three placements and 19 rank-one placements. Its average recommended rank of 2.40 indicates that when PetSmart is recommended, it tends to appear in the first or second position rather than lower in the list.

The weakest signal is first-position conversion relative to presence. PetSmart's rank-one rate of 3.4% is roughly one-third of Chewy's 11.2%, despite near-identical presence and coverage levels. The strongest platform signal is Google AI Overviews, where PetSmart recorded a 14.5% top-three rate and a 3.3% rank-one rate across 152 observations, its highest-volume platform. The clearest platform gap is Copilot, where PetSmart recorded zero rank-one recommendations across 59 observations despite a 94.9% presence rate.

Against the July 2026 baseline, PetSmart's coverage declined 1.7 points from 22.5% to 20.8%, a move the benchmark does not classify as significant. The sharper movement occurred between August and September, when coverage fell 9.7 points from 30.5%, a significant single-month decline that returned the brand to a level close to its July baseline. The category as a whole experienced this pattern, with all four large retailers spiking above 30% in August and then retreating in September.

What PetSmart Is Winning

PetSmart's most defensible position is its rank-one recommendation momentum. The brand improved its first-position rate from 2.9% in July to 3.4% in September, the second-highest rank-one rate in the category, even as its overall coverage declined. This suggests AI systems are placing PetSmart in the top slot more often within a thinner recommendation environment, a signal of growing default-answer status for specific prompt families.

The brand also holds a strong neutral visibility foundation. With 338 neutral mentions, PetSmart is being surfaced as a contextual reference or comparison point in a substantial share of AI responses. This creates a large addressable base for conversion into valid recommendations, provided the underlying evidence layer supports first-position claims.

PetSmart's presence is genuinely competitive. At 94.1%, the brand is within one point of Petco's category-leading 95.2% presence rate and ahead of Chewy's 83.3%. The brand is not suffering from an awareness or retrievability problem in AI systems; it is being discussed at near-saturation levels.

Where PetSmart Has the Clearest AI Visibility Gaps

PetSmart's central gap is recommendation conversion. The brand is present in 94.1% of qualified observations but recommended in only 20.8%, a conversion gap of roughly 73 points. Chewy, by contrast, converts 83.3% presence into 21.3% coverage, a smaller gap of 62 points, and does so with a rank-one rate more than three times higher than PetSmart's.

The Copilot platform represents the clearest single-platform gap. PetSmart appeared in 94.9% of Copilot observations but recorded zero rank-one recommendations and only a 27.1% valid recommendation coverage. This suggests the brand is being named as an option but not elevated to the default answer position on this surface.

PetSmart also trails Chewy decisively on first-position preference. Chewy's 11.2% rank-one rate versus PetSmart's 3.4% means that when AI systems name a single preferred retailer, they choose Chewy more than three times as often. This is not a coverage problem; it is a preference problem at the decision moment.

The absence of qualified observations in the Pricing & Value and Multi-Brand Comparison clusters is a category-wide measurement gap, but it carries specific strategic weight for PetSmart. The brand's services model, including grooming and veterinary care, is likely to surface in price and value conversations that the current benchmark cannot yet measure.

Biggest Opportunity

PetSmart's clearest opportunity is converting its large neutral mention base into first-position recommendations on Google AI Overviews and Google AI Mode. The brand already holds strong top-three rates on both surfaces, 14.5% and 14.7% respectively, but its rank-one rates trail Chewy by a wide margin on each. Because these two Google surfaces account for the majority of PetSmart's qualified observations, targeted improvements in first-position conversion here would move the brand's overall rank-one rate more than gains on any other platform.

Prompt Evidence

Google AI Overviews / Best Pet Supplies & Pet Store Discovery Prompt: "self wash dog wash near me" Result: PetSmart surfaced as a valid recommendation, reflecting its in-store services footprint.

Google AI Mode / Best Pet Supplies & Pet Store Discovery Prompt: "Where is the cheapest place to get Purina Pro Plan?" Result: PetSmart appeared in the response, but the pricing and value nature of this prompt falls outside the current qualified cluster set.

Copilot / Best Pet Supplies & Pet Store Discovery Prompt: "What is the best tick and flea treatment for dogs?" Result: PetSmart was present in the response but did not receive a rank-one recommendation on this surface.

Gemini / Best Pet Supplies & Pet Store Discovery Prompt: "science diet urinary cat food" Result: PetSmart appeared as a retailer option, with Gemini showing a 2.5% rank-one rate for the brand across its 80 observations.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompts, product categories, and geographic queries where PetSmart is present but not recommended, with emphasis on the gap between its 94.1% presence and 20.8% coverage.

Phase 2: Recommendation Readiness Plan Identify which owned pages, services content, and store-location assets are retrievable by AI systems and which high-intent prompts lack a PetSmart answer layer.

Phase 3: Owned Answer Layer Buildout Develop structured, citable content for the prompt families where Chewy currently captures first-position recommendations, particularly around product availability, services, and comparison queries.

Phase 4: Citation / Authority Layer Development Strengthen the backlink-supported evidence layer that AI systems can retrieve when forming recommendations, prioritizing sources that support first-position claims rather than generic mentions.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track PetSmart's rank-one rate and recommendation conversion by platform and prompt cluster monthly, with particular attention to Copilot where the brand currently holds zero first-position placements.

Why This Matters

PetSmart is winning the awareness game in AI-generated recommendations but losing the preference game. A 94.1% presence rate means the brand is almost always part of the conversation, yet Chewy is capturing first-position recommendations at more than three times PetSmart's rate. In buyer-choice terms, AI systems are telling shoppers that PetSmart is a relevant option while simultaneously telling them that Chewy is the default answer.

The path forward is not more visibility; PetSmart already has near-saturated presence. The next move is targeted correction of the prompt, page, and citation layers that determine whether the brand is named first or merely listed as an alternative. Presence without first-position preference leaves PetSmart visible but not chosen.

Core Metrics

  • Mentions: 530
  • Valid recommendations: 117
  • Top 3 recommendation count: 80
  • Rank #1 recommendation count: 19
  • Average recommended rank: 2.40
  • Positive mentions: 187
  • Neutral mentions: 338
  • Negative mentions: 5
  • Raw mention presence rate: 94.1%
  • Valid recommendation coverage: 20.8%
  • Top 3 recommendation rate: 14.2%
  • Rank #1 recommendation rate: 3.4%
  • Strongest cluster by recommendation behavior: Best Pet Supplies & Pet Store Discovery
  • Strongest platform by recommendation behavior: Google AI Overviews

Sentiment Score

Sentiment Score = (positive mentions x 1 + neutral mentions x 0 + negative mentions x -1) / total mentions

PetSmart's sentiment score of 0.34 is calculated as (187 x 1 + 338 x 0 + 5 x -1) / 530.

This score matters because unclassified mention counts are misleading. PetSmart's 530 total mentions include 338 neutral references that carry no recommendation weight, and counting all mentions as wins would overstate the brand's competitive position. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, neutral reference, cautionary mention, and competitor-displaced mention are not equal, and treating them as such produces a distorted view of AI visibility. Classified sentiment is required before interpreting whether PetSmart's high presence is actually translating into favorable recommendation behavior.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

59

19

40

0

0.32

Present, but not recommendation-led

Copilot

56

23

31

2

0.38

Present as context, not recommendation

Gemini

74

39

35

0

0.53

Strongest public recommendation signal

Perplexity

64

16

46

2

0.22

Present, but not recommendation-led

Google AI Mode

130

44

86

0

0.34

Present, but not recommendation-led

Google AI Overviews

147

46

100

1

0.31

Present, but not recommendation-led

Methodology

  1. Report orientation: This is a company-level AI market strategy report based on the LLM Authority Index AI Market Discovery Index for the Pet Retail Pet Supplies vertical, interpreted by CiteWorks Studio. It is benchmark-based analysis, not a client implementation result.
  2. Reporting window: September 2026, with July 2026 and August 2026 used as baseline and intermediate comparison months.
  3. Platforms tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Mode, and Google AI Overviews.
  4. Observation count: 563 qualified observations in September 2026, drawn from 800 source prompt-surface observations and 645 unique questions.
  5. Competitor universe: Chewy, Petco, PetSmart, Tractor Supply, Pet Supplies Plus, Hollywood Feed, and Petsense.
  6. Public clusters used: Best Pet Supplies & Pet Store Discovery was the only cluster with qualified observations. The Pet Store & Pet Supply Brand Comparisons and Pet Supply Store Pricing & Value clusters recorded zero qualified observations in the public benchmark.
  7. Stage 0 role: Raw prompt-surface observations were collected and filtered through relevance and qualification stages before inclusion in the public denominator.
  8. Definition of a mention: A brand mention is any qualified observation where the brand appears in the AI response, regardless of recommendation status or framing.
  9. Definition of a valid recommendation: A valid recommendation is a qualified observation where the brand appears in a recommendation shortlist with positive framing, distinct from a neutral reference or cautionary mention.
  10. Limitations: The public benchmark does not measure market share, attributable sales, organic-search ranking positions, social media volume, or private channels. Month-over-month movement identifies changes worth investigating but does not establish causation. Small-count movements for brands like Petsense and Hollywood Feed carry limited weight individually. The absence of qualified observations in pricing and comparison clusters means PetSmart's performance in those buyer-intent conversations is not yet measurable.
  11. Ranking interpretation: Top-three rate measures the share of qualified observations where the brand appears in the first three recommended positions. Rank-one rate measures the share where the brand is the single first recommendation. Average recommended rank reflects the brand's mean position when it receives valid rank credit.
  12. Dataset normalization: Brand-level percentages use the 563 qualified observations as the public denominator, not the 800 raw prompt-surface observations. The funnel from raw collection to qualified set is described in the benchmark methodology.

Get Your AI Visibility Audit

The public benchmark shows where PetSmart stands in aggregate, but it cannot identify the specific prompts, competitors, or sources driving each recommendation outcome. A company-level audit maps PetSmart's AI visibility against its own catalog, store locations, and published content, revealing which queries produce recommendations, mentions, or omissions.

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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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