CiteWorks Studio

Petco AI Market Strategy Report - Pet Retail Pet Supplies

Mark HuntleyBy Mark HuntleyFounder and CEO
9 minutes read

Key Takeaways

  • Petco appears in 95.2% of qualified AI responses, giving it the highest raw presence among tracked pet retailers.
  • Despite that visibility, Petco ranks third in valid recommendation coverage at 20.6%, behind Chewy at 21.3% and PetSmart at 20.8%.
  • Petco leads the category in top-three recommendation rate at 15.1%, but converts only 2.7% of observations into rank-one recommendations.
  • Perplexity is Petco's weakest platform, while Google AI Mode shows its strongest recommendation coverage.

Answer Capsule

Petco holds the highest raw presence of any tracked pet retailer in the September 2026 LLM Authority Index benchmark, appearing in 95.2% of qualified AI responses, yet converts that presence into valid recommendations at a lower rate than its two closest competitors. The benchmark shows Petco at 20.6% valid recommendation coverage, placing it third behind Chewy at 21.3% and PetSmart at 20.8%, a gap driven primarily by a weak rank-one recommendation rate of 2.7%. Petco's clearest strength is its top-three placement rate of 15.1%, the highest in the category, but its average recommended rank of 2.24 and low first-position rate indicate the brand is consistently named as a strong option rather than the default answer. The clearest opportunity lies in converting Petco's near-saturated presence and top-three placements into first-position recommendations, where Chewy currently holds a commanding lead.

Who This Report Is For

This report is for Petco's marketing, ecommerce, and brand strategy leadership teams responsible for understanding how AI systems recommend pet retailers during high-intent shopping discovery.

Report Card

  • Report type: AI Company Market Strategy Report
  • Target company: Petco
  • 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, PetSmart, Tractor Supply, Pet Supplies Plus, Hollywood Feed, Petsense

Executive Summary

Petco enters the September 2026 LLM Authority Index benchmark as the most visible pet retailer in the category, with a raw mention presence rate of 95.2%, meaning the brand appears in nearly every qualified AI response. That presence, however, does not translate into proportional recommendation power. Petco's valid recommendation coverage of 20.6% places it third, narrowly behind Chewy at 21.3% and PetSmart at 20.8%, a competitive gap of less than one percentage point that masks a more significant structural difference in how each brand is recommended.

The benchmark recorded 536 mentions of Petco across 563 qualified observations, with 180 positive mentions, 351 neutral mentions, and 5 negative mentions. Petco received 116 valid recommendations, of which 85 appeared in top-three positions and only 15 appeared as the first recommendation. This distribution produces a top-three rate of 15.1%, the highest in the category, but a rank-one rate of just 2.7%, the lowest among the three national leaders.

Petco's strongest platform signal appears in Google AI Mode, where the brand reaches 22.4% valid recommendation coverage, its highest across any tracked surface. Its weakest platform signal is Perplexity, where coverage falls to 13.2% despite a presence rate of 86.8%, indicating Petco is frequently discussed but less frequently recommended on that platform.

The benchmark's single most important finding for Petco is the month-over-month reversal from August to September. Petco's coverage fell 10.3 percentage points, from 30.9% in August to 20.6% in September, the largest single-brand decline in the category. Against the July baseline of 24.0%, however, the September figure represents a 3.4-point decline that the benchmark does not classify as significant, suggesting the August spike was the outlier rather than a durable new level.

What Petco Is Winning

Petco leads the category in raw mention presence at 95.2%, confirming the brand is a default reference point in AI conversations about pet supplies and pet stores. This near-saturation presence means Petco is rarely absent from the consideration set, a foundational advantage that smaller competitors cannot replicate.

Petco also holds the highest top-three recommendation rate in the category at 15.1%, ahead of Chewy at 14.6% and PetSmart at 14.2%. When Petco is recommended, it tends to appear in the first three positions, with an average recommended rank of 2.24. This placement profile indicates AI systems treat Petco as a legitimate top-tier option even when they do not name it first.

The brand's sentiment profile is constructive. Petco recorded a net sentiment score of 0.33 across all mentions, with 180 positive mentions against only 5 negative mentions. Negative mentions are concentrated on Perplexity and Copilot, each recording 2 negative mentions, while Gemini, Google AI Mode, and Google AI Overviews recorded no negative framing.

Where Petco Has the Clearest AI Visibility Gaps

Petco's most significant gap is the conversion of presence into first-position recommendations. The brand appears in 95.2% of responses but is named first in only 2.7%, a conversion gap that Chewy does not share. Chewy's rank-one rate of 11.2% is more than four times higher than Petco's, despite Chewy carrying a lower presence rate of 83.3%. The benchmark evidence suggests AI systems default to Chewy as the first-choice answer while positioning Petco as a strong alternative.

The Perplexity platform represents a clear structural weakness. Petco's presence on Perplexity is 86.8%, but its valid recommendation coverage is only 13.2%, and its top-three rate falls to 8.8%. This pattern indicates Petco is being discussed and compared on Perplexity but is not emerging as a recommended choice at the same rate as on other platforms. By contrast, Chewy reaches 22.1% coverage on Perplexity with a lower presence rate of 69.1%.

Petco's neutral mention share of 62.3% is the highest among the three national leaders, compared with Chewy at 48.5% and PetSmart at 60.0%. A high neutral share combined with a low rank-one rate indicates Petco is frequently referenced as context, comparison, or category background rather than as an active recommendation. The brand is present in the conversation but is not consistently shaping the outcome of that conversation.

Biggest Opportunity

Petco's clearest opportunity is converting its category-leading top-three placement rate into first-position recommendations. The brand already wins the battle for top-three inclusion, appearing in 85 of 563 qualified observations in the first three positions, but it loses the battle for the first slot, capturing only 15 of those observations as rank-one recommendations. Chewy, by comparison, captures 63 rank-one positions from 82 top-three placements, a conversion rate of roughly 77%, while Petco converts only about 18% of its top-three placements into a first-position result.

The path forward involves identifying which prompt families produce Chewy's first-position preference and whether Petco's owned content and citation architecture support the specific claims AI systems use to justify a first-position recommendation. The benchmark data cannot isolate those prompts at the category level, but the pattern strongly indicates Petco needs to strengthen the evidence layer supporting default-answer status across specific product categories, services, and shopping scenarios.

Prompt Evidence

Gemini / Best Pet Supplies & Pet Store Discovery Prompt: "What is the best place to get pet supplies?" Result: Petco appeared in the response with positive framing and was placed in a top-three recommendation position.

ChatGPT / Best Pet Supplies & Pet Store Discovery Prompt: "What is the best salmon kibble for dogs?" Result: Petco was mentioned in the response but did not receive valid recommendation credit, indicating presence without recommendation conversion.

Perplexity / Best Pet Supplies & Pet Store Discovery Prompt: "Where can I buy chewies?" Result: Petco appeared in the response but was not placed in a top-three position, consistent with the platform's weaker recommendation pattern for the brand.

Google AI Mode / Best Pet Supplies & Pet Store Discovery Prompt: "What is the best place to get pet supplies?" Result: Petco received a valid recommendation and was placed in a top-three position, reflecting the platform's stronger coverage for the brand.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map Petco's current recommendation patterns across all six tracked platforms to identify which prompt families produce top-three placements and which produce first-position recommendations for competitors.

Phase 2: Recommendation Readiness Plan Prioritize the product categories, services, and shopping scenarios where Petco's top-three rate is strongest and where first-position conversion is most achievable.

Phase 3: Owned Answer Layer Buildout Develop owned content that directly answers high-intent discovery prompts with clear, citable claims about Petco's assortment, services, availability, and value proposition.

Phase 4: Citation / Authority Layer Development Strengthen the public evidence layer that AI systems can retrieve and cite when forming recommendations, focusing on the sources that support first-position claims.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Petco's presence, recommendation coverage, top-three rate, and rank-one rate monthly to measure whether the gap with Chewy narrows over time.

Why This Matters

Petco is winning the awareness battle in AI-generated recommendations but losing the decision battle. A brand that appears in 95.2% of AI responses yet is named first in only 2.7% is being positioned as a credible option rather than the default choice. For shoppers using AI to decide where to buy pet supplies, the first recommendation carries disproportionate weight in shaping the final decision.

The benchmark evidence indicates Petco's challenge is not visibility. It is the conversion of that visibility into first-position recommendation status. The next move requires targeted work on the prompt, page, and citation layers that AI systems use to justify a first-position answer, not broader awareness building.

Core Metrics

  • Mentions: 536
  • Valid recommendations: 116
  • Top 3 recommendation count: 85
  • Rank #1 recommendation count: 15
  • Average recommended rank: 2.24
  • Positive mentions: 180
  • Neutral mentions: 351
  • Negative mentions: 5
  • Raw mention presence rate: 95.2%
  • Valid recommendation coverage: 20.6%
  • Top 3 recommendation rate: 15.1%
  • Rank #1 recommendation rate: 2.7%
  • Strongest cluster by recommendation behavior: Best Pet Supplies & Pet Store Discovery
  • Strongest platform by recommendation behavior: Google AI Mode

Sentiment Score

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

For Petco, the calculation is (180 x 1 + 351 x 0 + 5 x -1) / 536, producing a sentiment score of 0.33.

This score matters because unclassified mention counts are misleading. Petco's 536 total mentions include 351 neutral references that do not represent active recommendations or endorsements. Share of voice is a diagnostic metric, not a business outcome. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal signals. Counting all mentions as wins would overstate Petco's actual recommendation strength. Classified sentiment is required before interpreting AI visibility, because it separates the brands being actively recommended from the brands being discussed as context.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

58

15

42

1

0.24

Present, but not recommendation-led

Copilot

57

24

32

1

0.40

Strong presence with moderate recommendation conversion

Gemini

78

44

34

0

0.56

Strongest positive framing across platforms

Perplexity

59

11

46

2

0.15

Present as context, not recommendation

Google AI Mode

137

41

96

0

0.30

High volume with mostly neutral framing

Google AI Overviews

147

45

101

1

0.30

Broad presence with neutral-heavy framing

Methodology

  1. Report orientation: This is a company-level AI market strategy report based on the September 2026 LLM Authority Index Pet Retail Pet Supplies benchmark, not a client implementation case study.
  2. Reporting window: Data was extracted on September 7, 2026, covering the September 2026 measurement cycle with July 2026 and August 2026 reference points.
  3. Platforms tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Mode, and Google AI Overviews.
  4. Observation count: 563 qualified observations from 800 source prompt-surface observations, with 645 unique questions and 772 relevant prompts.
  5. Competitor universe: Chewy, PetSmart, Tractor Supply, Pet Supplies Plus, Hollywood Feed, and Petsense.
  6. Public clusters used: All qualified observations fell into the Best Pet Supplies & Pet Store Discovery cluster. The Pet Store & Pet Supply Brand Comparisons and Pet Supply Store Pricing & Value clusters recorded no qualified observations in this cycle.
  7. Stage 0 role: Raw prompt-surface observations were collected and qualified before brand-level metrics were calculated. Brand-level percentages use the 563 qualified observations as the denominator, not the 800 raw observations.
  8. Definition of a mention: A brand mention is any qualified observation where the brand appears in the AI response, regardless of whether it is recommended, compared, or referenced as context.
  9. Definition of a valid recommendation: A valid recommendation is a qualified observation where the brand appears in a recommendation shortlist with positive framing and a rank position. Neutral references, cautionary mentions, and comparison-anchor appearances are not counted as valid recommendations.
  10. Limitations: The public benchmark measures brand recommendation discovery only. It does not include qualified observations for pricing and value comparisons or multi-brand comparison prompts. Month-over-month movement identifies changes worth investigating but does not establish causation. The August spike and September reversal across all four large retailers may reflect a shared driver in the prompt set or AI output mix that aggregate data cannot isolate.
  11. Sentiment classification: Mentions were classified as positive, neutral, or negative based on the framing of the brand within the AI response. Negative mentions for Petco were concentrated on Perplexity and Copilot.
  12. Ranking interpretation: Rank-one rate measures the share of qualified observations where the brand is the single first recommendation. Top-three rate measures the share where the brand appears in the first three recommended positions. Average recommended rank is calculated only for observations where the brand receives valid rank credit.

See How AI Is Recommending Your Brand

The public benchmark shows where Petco stands in AI-generated recommendations, but it does not reveal which prompts, competitors, or sources are driving each result. A company-level AI visibility audit maps recommendation patterns against a brand's own catalog, store locations, and published content, showing exactly where the brand is winning, where it is being displaced, and what evidence AI systems are using to form their answers.

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Understanding AI search visibility.

AI search experiences create answers by pulling information from many places online and summarizing it into a single response.

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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