CiteWorks Studio

Stella & Chewy’s AI Market Strategy Report - Raw Freeze-Dried and Biologically Appropriate Pet Food

Mark HuntleyBy Mark HuntleyFounder and CEO
12 minutes read

Key Takeaways

  • Stella & Chewy’s ranked second in valid recommendation coverage at 41.89%, behind Orijen’s 59.81%, while narrowing the gap from July 2026.
  • The brand had the highest net sentiment score in the category at 0.8789, with 197 positive mentions and only one negative mention.
  • Google AI Overviews and Google AI Mode were the brand’s strongest surfaces, delivering its highest recommendation coverage and most top-three placements.
  • The main gap was conversion from visibility to preference: Stella & Chewy’s appeared in 54.00% of qualified responses but reached only a 19.37% top-three rate and 9.93% rank-one rate.

Answer Capsule

Stella & Chewy's holds the second-strongest recommendation position in the raw freeze-dried and biologically appropriate pet food category, with 41.89% valid recommendation coverage in September 2026. The brand is broadly present across AI surfaces at a 54.00% raw mention presence rate, but its top-three placement rate of 19.37% and rank-one rate of 9.93% show that visibility is not converting into first-choice recommendations at the same depth. The clearest win is a 0.8789 net sentiment score, the highest among all tracked brands. The clearest gap is the distance to Orijen (Champion Petfoods) at 59.81% coverage, a 17.92-point lead that narrowed from 22.7 points in July 2026. The biggest opportunity sits in converting existing presence into top-three and rank-one placements across Google AI Overviews and Google AI Mode, where the brand already shows strong surface-level traction.

Who This Report Is For

This report is for Stella & Chewy's brand leadership, category marketing teams, and retail strategy groups evaluating how the brand appears in AI-generated recommendations across high-intent discovery prompts in the raw and freeze-dried pet food category.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Stella & Chewy's

Category / market studied

Raw Freeze-Dried and Biologically Appropriate Pet Food

Reporting month

September 2026

AI platforms tracked

6 (ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, Google AI Mode)

Public high-intent clusters

1 active (Brand Recommendation)

AI observations analyzed

413 qualified observations

Competitors tracked

6

Executive Summary

Stella & Chewy's is the strongest challenger in the raw freeze-dried and biologically appropriate pet food category, holding second place in valid recommendation coverage at 41.89% in September 2026. The brand recorded 173 valid recommendations from 413 qualified observations, a count that held steady from July 2026 even as its top-three placements fell from 112 to 80 over the same period. This is a brand with strong presence and recommendation coverage that is losing placement depth in the prompts where it previously ranked highest.

The benchmark shows Stella & Chewy's raw mention presence rate at 54.00%, meaning the brand appears in more than half of all qualified AI responses in the category. Its positive mention count of 197 and neutral mention count of 25 produce a net sentiment score of 0.8789, the highest among all seven tracked brands. The single negative mention recorded in the dataset is negligible at a 0.24% negative visibility rate. The framing quality around Stella & Chewy's is consistently positive across platforms.

The strongest platform signal for Stella & Chewy's is Google AI Overviews, where the brand holds a 52.34% valid recommendation coverage rate and a 25.78% top-three rate. Google AI Mode follows with a 44.53% valid recommendation coverage rate and a 25.78% top-three rate. These two Google surfaces account for the majority of the brand's recommendation volume and represent the clearest evidence of recommendation-stage strength.

The clearest gap is in top-three and rank-one placement conversion. Stella & Chewy's holds 41.89% valid recommendation coverage but only translates that into a 19.37% top-three rate and a 9.93% rank-one rate. Orijen (Champion Petfoods), by comparison, converts 59.81% coverage into a 26.63% top-three rate and a 16.95% rank-one rate. The gap between coverage and placement depth is wider for Stella & Chewy's than for the category leader, suggesting that the brand is frequently recommended but not frequently recommended first.

The benchmark recorded a category-wide decline in recommendation-shaped answer share from 54.7% in July 2026 to 50.6% in September 2026, and a decline in valid recommendation shortlist share from 72.9% to 68.8% over the same period. Stella & Chewy's top-three rate fell from 27.9% in July 2026 to 19.37% in September 2026, a larger movement than its overall coverage decline of 1.1 points. This pattern suggests that the brand is being mentioned in AI responses at a stable rate but is being displaced from top positions by competitors.

The category remains quiet, with no tracked brand registering a movement beyond normal month-to-month variation in September 2026. The gap between Orijen and Stella & Chewy's narrowed from 22.7 points in July 2026 to 17.92 points in September 2026, indicating that the leader's position is softening even as Stella & Chewy's holds second place. The brand's strongest cluster is the Brand Recommendation cluster, which accounts for all 413 qualified observations in the dataset.

What Stella & Chewy's Is Winning

Questions This Section Answers

  • Where does Stella & Chewy's strongest AI recommendation performance come from?
  • How does Stella & Chewy's net sentiment compare with other raw pet food brands?

Stella & Chewy's holds the highest net sentiment score in the category at 0.8789, reflecting consistently positive framing across AI-generated responses. The brand recorded 197 positive mentions against 25 neutral mentions and a single negative mention, producing a positive visibility rate of 47.70%. This is the strongest framing quality among all seven tracked brands.

The brand's strongest platform is Google AI Overviews, where it holds a 52.34% valid recommendation coverage rate and a 25.78% top-three rate. Google AI Mode follows with a 44.53% valid recommendation coverage rate and a 25.78% top-three rate. These two surfaces represent the clearest evidence of recommendation-stage strength for Stella & Chewy's and account for the majority of its recommendation volume.

Stella & Chewy's also holds a strong position in ChatGPT, where it records a 24.39% valid recommendation coverage rate and a 12.20% rank-one rate. The brand's rank-one rate on ChatGPT is higher than its overall rank-one rate of 9.93%, suggesting that ChatGPT users who encounter Stella & Chewy's in a recommendation context are more likely to see it ranked first.

The brand's valid recommendation count of 173 in September 2026 held steady from 173 in July 2026, even as its top-three placements fell from 112 to 80. This stability in recommendation coverage suggests that the brand's core recommendation footprint is intact, even as placement depth has softened.

Where Stella & Chewy's Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why does Stella & Chewy's high recommendation coverage not translate into top-three or rank-one placement?
  • Which platforms show the widest gap between Stella & Chewy's presence and placement strength?

The clearest gap for Stella & Chewy's is the distance between its valid recommendation coverage and its top-three and rank-one placement rates. The brand holds 41.89% valid recommendation coverage but only translates that into a 19.37% top-three rate and a 9.93% rank-one rate. This means that in more than half of the observations where Stella & Chewy's receives a valid recommendation, it is not appearing in the top three positions. The brand is present in the recommendation set but is not consistently chosen as a leading option.

Orijen (Champion Petfoods) converts 59.81% coverage into a 26.63% top-three rate and a 16.95% rank-one rate. The ratio of top-three rate to coverage is 0.445 for Orijen and 0.462 for Stella & Chewy's, suggesting that the two brands convert coverage to top-three placement at similar rates. However, the absolute gap in rank-one rate is more pronounced: Orijen holds a 16.95% rank-one rate against Stella & Chewy's 9.93%, a difference of 7.02 percentage points. This suggests that when both brands are recommended, Orijen is more likely to be recommended first.

The brand's top-three rate fell from 27.9% in July 2026 to 19.37% in September 2026, a decline of 8.53 percentage points. Over the same period, its valid recommendation coverage fell by only 1.1 points, from 43.0% to 41.89%. This divergence suggests that the prompts where Stella & Chewy's lost top-three placement are not the same prompts where it lost overall coverage. The brand is being displaced from top positions in specific prompt types while maintaining its overall presence.

On Copilot, Stella & Chewy's records a 27.59% valid recommendation coverage rate but a 0.00% top-three rate and a 0.00% rank-one rate. The brand's average recommended rank on Copilot is 10, indicating that when it is recommended on that platform, it appears at the bottom of the recommendation set. This is a clear platform-specific gap where the brand has presence but no placement strength.

On Perplexity, Stella & Chewy's holds a 13.21% valid recommendation coverage rate and a 7.55% top-three rate, with a 3.77% rank-one rate. These figures are lower than the brand's overall averages, suggesting that Perplexity is a weaker surface for Stella & Chewy's relative to its category position.

Biggest Opportunity

Questions This Section Answers

  • What is the clearest path for Stella & Chewy's to convert AI recommendation coverage into top-three placement?

The biggest opportunity for Stella & Chewy's is converting its existing recommendation coverage into top-three and rank-one placements on Google AI Overviews and Google AI Mode. The brand already holds strong coverage on these surfaces at 52.34% and 44.53% respectively, but its top-three rate on both surfaces is 25.78%, meaning that nearly half of its recommendations on these platforms do not convert into top-three placement. Improving placement depth on these two surfaces, which account for the majority of the brand's recommendation volume, represents the clearest path from reference to recommendation leadership.

Competitive Landscape

Questions This Section Answers

  • How does Stella & Chewy's placement compare with Orijen and other tracked pet food brands?
  • Where is the gap between Stella & Chewy's and the category leader most pronounced?

Orijen (Champion Petfoods) holds the strongest recommendation-stage position in the category, followed by Stella & Chewy's as the clear second. Acana (Champion Petfoods) holds third place with a 14.04% top-three rate, while the remaining brands trail significantly.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Orijen (Champion Petfoods)

26.63%

16.95%

2.46

0.8338

Stella & Chewy's

19.37%

9.93%

2.76

0.8789

Acana (Champion Petfoods)

14.04%

0.48%

3.49

0.8039

Primal Pet Foods

6.54%

0.48%

2.65

0.8644

Instinct Pet Food

4.84%

0.24%

3.21

0.8214

Champion Petfoods

1.21%

0.48%

2.00

0.6585

Smallbatch Pets

0.97%

0.48%

3.14

1.0000

Average recommended rank covers rank-eligible recommendations only.

Stella & Chewy's holds second place in top-three rate and rank-one rate, with a sentiment score that leads the category. The brand's average recommended rank of 2.76 is higher than Orijen's 2.46, indicating that when Stella & Chewy's is recommended, it appears slightly further down the list on average. The gap between the two brands is most pronounced in rank-one rate, where Orijen holds a 7.02-point advantage.

Prompt Evidence

Google AI Overviews / Brand Recommendation Prompt: "What are the top 5 healthiest cat foods?" Result: Stella & Chewy's appeared in the recommendation set with a valid recommendation, contributing to its 52.34% coverage rate on this platform.

Google AI Mode / Brand Recommendation Prompt: "best dog food" Result: Stella & Chewy's received a valid recommendation and appeared in the top three positions, contributing to its 25.78% top-three rate on this platform.

ChatGPT / Brand Recommendation Prompt: "What is the healthiest dog food for a dog?" Result: Stella & Chewy's received a valid recommendation with a rank-one placement, contributing to its 12.20% rank-one rate on ChatGPT.

Copilot / Brand Recommendation Prompt: "dog food brands" Result: Stella & Chewy's received a valid recommendation but appeared at an average recommended rank of 10, indicating placement at the bottom of the recommendation set on this platform.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map Stella & Chewy's prompt-level performance across all six AI surfaces to identify exactly which prompts drive top-three placement and which prompts produce recommendation coverage without placement depth.

Phase 2: Recommendation Readiness Plan Prioritize the prompt clusters and platforms where Stella & Chewy's holds coverage but not top-three placement, focusing on Google AI Overviews and Google AI Mode where the brand already has strong surface-level traction.

Phase 3: Owned Answer Layer Buildout Develop brand-owned content that directly addresses the high-intent prompts where Stella & Chewy's is recommended but not ranked first, ensuring that the brand's positioning and differentiators are clearly articulated in formats that AI systems can retrieve and synthesize.

Phase 4: Citation / Authority Layer Development Strengthen the public evidence layer around Stella & Chewy's by building and reinforcing the source types that AI systems cite when forming recommendations in the raw and freeze-dried pet food category.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Stella & Chewy's top-three rate, rank-one rate, and sentiment score month over month to measure whether placement depth improves and whether the brand closes the gap to Orijen (Champion Petfoods).

Why This Matters

AI-generated recommendations are becoming the first place buyers encounter brands in the raw and freeze-dried pet food category. Stella & Chewy's holds strong presence and the highest sentiment score in the category, but presence alone does not win the buyer shortlist. The brand is recommended frequently but is not consistently recommended first, and that gap between coverage and placement depth is where competitive displacement happens.

The next move for Stella & Chewy's is targeted correction of the prompt, page, and citation layers that drive top-three and rank-one placement. The benchmark shows that the brand has the foundation: strong coverage, positive framing, and a clear second-place position. What it needs now is to convert that foundation into first-choice recommendations at the decision moment.

Core Metrics

Metric

Value

Mentions

223

Valid recommendations

173

Top 3 recommendation count

80

Rank #1 recommendation count

41

Average recommended rank

2.76

Positive mentions

197

Neutral mentions

25

Negative mentions

1

Raw mention presence rate

54.00%

Valid recommendation coverage

41.89%

Top 3 recommendation rate

19.37%

Rank #1 recommendation rate

9.93%

Net sentiment score

0.8789

Strongest cluster by recommendation behavior

Brand Recommendation

Strongest platform by recommendation behavior

Google AI Overviews

Sentiment Score

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

For Stella & Chewy's in September 2026, the calculation is: (197 × 1 + 25 × 0 + 1 × -1) / 223 = 196 / 223 = 0.8789.

This score matters because unclassified mention counts are misleading. A brand that appears in 223 AI responses but is framed negatively or neutrally in most of them is not in the same position as a brand that appears in 223 responses with consistently positive framing. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because it distinguishes between a brand that is being recommended and a brand that is merely being mentioned.

Stella & Chewy's sentiment score of 0.8789 is the highest in the category, indicating that when the brand appears in AI-generated responses, the framing is overwhelmingly positive. This is a strength that supports recommendation conversion, but it does not by itself guarantee top-three or rank-one placement.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

Google AI Overviews

82

79

3

0

0.9634

Strongest public recommendation signal

Google AI Mode

71

62

9

0

0.8732

Strong recommendation presence with top-three placement

ChatGPT

15

11

4

0

0.7333

Positive, but sample too small

Copilot

11

10

0

1

0.8182

Present, but not recommendation-led

Perplexity

14

9

5

0

0.6429

Present as context, not recommendation

Gemini

30

26

4

0

0.8667

Strongest public recommendation signal

Methodology

  1. This report is a benchmark-based analysis of Stella & Chewy's AI recommendation visibility in the raw freeze-dried and biologically appropriate pet food category, using data from the LLM Authority Index AI Market Discovery Index for September 2026.
  2. The reporting window covers September 2026, with comparative data from July 2026 and August 2026 where available.
  3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode. All six surface families were represented in the qualified observation set.
  4. The benchmark began with 800 prompt-surface observations in September 2026, producing 413 qualified observations after qualification. The qualification process removed 96 irrelevant observations and retained 704 relevant observations, of which 413 met the final qualification criteria.
  5. The competitor universe includes seven tracked brands: Orijen (Champion Petfoods), Stella & Chewy's, Acana (Champion Petfoods), Primal Pet Foods, Instinct Pet Food, Champion Petfoods, and Smallbatch Pets.
  6. All 413 qualified observations in September 2026 fell into the Brand Recommendation buyer-intent cluster. No qualified observations landed in the Pricing & Value or Multi-Brand Comparison clusters in any month of the series.
  7. The benchmark uses a defined, reproducible research protocol applied consistently each month. Brand-level percentages use the qualified observations as the public denominator, not the raw collection.
  8. A mention is defined as any appearance of a tracked brand in an AI-generated response, regardless of whether the brand is recommended, referenced neutrally, or framed negatively.
  9. A valid recommendation is defined as a positive recommendation with a rank position of 1 through 10. Negative, neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations unless the dataset explicitly marks them as valid recommendations.
  10. Average recommended rank covers rank-eligible recommendations only. A company with no rank-eligible recommendations receives an em dash for this metric.
  11. The benchmark does not measure market share, attributable sales, organic-search ranking positions outside AI surfaces, social mention volume, private or sponsored channels, or causality from a metric movement alone. The benchmark records the change, not the underlying cause.
  12. Source presence is evidence about the information environment. It is not automatically proof that the source caused the recommendation.

See How AI Is Recommending Your Brand

The public benchmark shows where Stella & Chewy's is winning and where it is losing in AI-generated recommendations. A company-level AI visibility audit maps the prompt, surface, competitor, ranking, sentiment, and evidence-source patterns behind those figures into a prioritized strategy for closing the gap between recommendation coverage and top-three placement.

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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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