Sundays for Dogs AI Visibility Market Strategy Report - Pet Food Delivery Services

Mark HuntleyBy Mark HuntleyFounder and CEO
13 minutes read

Key Takeaways

  • Sundays for Dogs has positive sentiment and no negative mentions, but that has not translated into strong recommendation coverage.
  • The brand’s best platform is Gemini, while ChatGPT shows a complete absence across the benchmark.
  • Sundays for Dogs appears more often than it is recommended, showing a gap between mention presence and shortlist placement.
  • The main opportunity is to improve visibility on high-volume platforms and turn early top-three placements into repeatable recommendation credit.

Answer Capsule

Sundays for Dogs holds a small but improving position in AI-generated pet food delivery recommendations for October 2026, with valid recommendation coverage of 5.40% against a category leader at 67.41%. The brand is visible but under-recommended: it appears in 7.26% of qualified AI responses but converts only a fraction of that presence into shortlist placement, and it recorded zero rank-one recommendations across the entire benchmark. The clearest win is a second consecutive month of top-three placements on a thin base, and the clearest opportunity is converting that early top-three traction into repeatable, rank-eligible recommendation coverage.

Who This Report Is For

This report is for Sundays for Dogs leadership, brand, and growth teams evaluating how the brand appears in AI-led discovery for pet food delivery, and for category analysts tracking recommendation-stage visibility across the pet food delivery market.

Report Card

Field

Value

Report type

AI Visibility Company Market Strategy Report

Target company

Sundays for Dogs

Category / market studied

Pet Food Delivery Services

Reporting month

October 2026

AI platforms tracked

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

Public high-intent clusters

1 qualified (Best Pet Supplies & Pet Food Discovery)

AI observations analyzed

537 qualified observations

Competitors tracked

9

Executive Summary

Sundays for Dogs is visible but under-recommended in AI-generated pet food delivery recommendations. The October 2026 benchmark shows the brand with a raw mention presence rate of 7.26% and valid recommendation coverage of 5.40%, meaning it appears in AI responses far more often than it earns a place on a recommendation shortlist. The gap between presence and recommendation is the central story: the brand is being referenced, but it is not being chosen.

The brand recorded 39 total mentions across 537 qualified observations, with 30 positive mentions, 9 neutral mentions, and zero negative mentions. That produces a net sentiment score of 0.7692, which is positive but sits below the category's strongest framing scores. The absence of negative framing is a genuine strength, but positive sentiment alone is not converting into recommendation credit at scale.

Sundays for Dogs generated 29 valid recommendations in October 2026, with 11 top-three placements and zero rank-one placements. The top-three rate of 2.05% and rank-one rate of 0.00% place the brand near the bottom of the ten-brand tracked set on both measures. The average recommended rank of 4.05 indicates that when the brand does earn rank-eligible credit, it typically lands in the middle of the list rather than at the top.

The strongest platform signal for Sundays for Dogs is Gemini, where the brand recorded 16 mentions, 15 valid recommendations, and a valid recommendation coverage of 18.52%. Gemini is the only platform where the brand shows meaningful recommendation-stage traction. On ChatGPT, the brand recorded zero mentions and zero recommendations across 65 observations, a complete absence that represents the single largest platform gap in the dataset.

The strongest cluster is the only qualified cluster in the benchmark, Best Pet Supplies & Pet Food Discovery, where all 537 observations fall. The brand's coverage within that cluster is 5.40%, well below the category leader at 67.41% and below the nearest mid-tier competitor at 10.43%. The benchmark does not yet contain qualified observations in pricing, value, or multi-brand comparison clusters, so no conclusions about those commercial questions can be drawn from this data.

The clearest opportunity for Sundays for Dogs is converting its positive sentiment and early top-three traction into repeatable recommendation coverage on platforms where it currently has little or no presence, particularly ChatGPT and Copilot. The brand has a clean framing profile and no negative mentions, which means the foundation for recommendation growth is intact. What is missing is the prompt-level and source-level infrastructure that would move the brand from occasional top-three placement to consistent shortlist inclusion.

What Sundays for Dogs Is Winning

Questions This Section Answers

  • What does the zero negative mention count and 0.7692 sentiment score mean for Sundays for Dogs?
  • Which platform provides the strongest recommendation-stage signal for Sundays for Dogs?

Sundays for Dogs shows a clean sentiment profile. Across 39 mentions in October 2026, the brand recorded 30 positive mentions, 9 neutral mentions, and zero negative mentions, producing a net sentiment score of 0.7692. No other tracked brand in the benchmark has a lower negative mention count, and the absence of cautionary or negative framing is a meaningful foundation for recommendation growth.

The brand recorded its second consecutive month of top-three placements, with 11 top-three recommendations in October 2026. This is a thin base, but it represents repeatable traction rather than a single-month anomaly. The top-three rate of 2.05% is small in absolute terms, but the consistency across two months suggests the brand has a foothold in specific prompt types or use cases.

Gemini is the strongest platform for Sundays for Dogs. The brand recorded 16 mentions, 15 valid recommendations, and a valid recommendation coverage of 18.52% on Gemini, with a net sentiment score of 1.0 on that platform. This is the only platform where the brand shows meaningful recommendation-stage presence, and it represents a narrow but real pocket of recommendation strength.

The brand's raw mention presence rate of 7.26% is higher than its valid recommendation coverage of 5.40%, which means Sundays for Dogs is being referenced in AI responses more often than it is being recommended. This presence without recommendation conversion is a gap, but it also indicates that AI systems are aware of the brand and have access to information about it. The foundation for recommendation growth exists.

Where Sundays for Dogs Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why does Sundays for Dogs appear in AI responses but fail to earn a recommendation?
  • Which platforms show the largest recommendation gaps for Sundays for Dogs?
  • Why has Sundays for Dogs never reached the first recommendation position?

Sundays for Dogs is present but not chosen in the majority of AI responses where it appears. The brand's raw mention presence rate of 7.26% converts to a valid recommendation coverage of 5.40%, a conversion gap of 1.86 percentage points. In practical terms, the brand is mentioned in AI responses but fails to earn a recommendation shortlist placement in roughly one out of every four appearances.

The most severe gap is on ChatGPT. Across 65 observations on ChatGPT, Sundays for Dogs recorded zero mentions, zero valid recommendations, and zero top-three placements. This is a complete absence on one of the highest-volume platforms in the benchmark. By contrast, the category leader The Farmer's Dog recorded 38 valid recommendations on ChatGPT, and even PetFlow, which has a smaller overall footprint than Sundays for Dogs, recorded one valid recommendation on the platform.

Copilot shows a similar pattern. Sundays for Dogs recorded one mention and one valid recommendation on Copilot across 45 observations, with zero top-three placements and zero rank-one placements. The brand's presence on Copilot is negligible, and the single recommendation did not convert into rank-eligible credit.

On Google AI Overviews, the brand recorded 8 mentions and 5 valid recommendations across 143 observations, with zero top-three placements. The valid recommendation coverage of 3.50% on this platform is well below the brand's overall coverage and far below the category leader's 74.13% on the same platform. Google AI Overviews is a high-volume surface, and the brand's near-absence there represents a significant displacement gap.

The rank-one gap is absolute. Sundays for Dogs recorded zero rank-one recommendations across all platforms and all clusters in October 2026. The brand has never been the first recommendation in any qualified observation. By contrast, The Farmer's Dog recorded 192 rank-one recommendations, Ollie recorded 13, and even PetFlow, which has a smaller overall footprint, recorded zero rank-one recommendations but a higher top-three rate of 3.17%. The brand's inability to reach the first position means it is consistently positioned as a mid-list option rather than a default choice.

The competitive displacement pattern is clear. When Sundays for Dogs appears in a recommendation shortlist, it typically appears alongside The Farmer's Dog, Ollie, and Open Farm. The category leader The Farmer's Dog holds a top-three rate of 53.45% and a rank-one rate of 35.75%, while Ollie holds a top-three rate of 40.97%. Sundays for Dogs holds a top-three rate of 2.05% and a rank-one rate of 0.00%. The brand is not competing for the same recommendation slots as the category leaders; it is competing for residual placement at the bottom of the shortlist.

Biggest Opportunity

The single biggest opportunity for Sundays for Dogs is converting its positive sentiment and early top-three traction into repeatable recommendation coverage on ChatGPT and Copilot, where the brand currently has little or no presence. ChatGPT is the highest-volume platform in the benchmark with 65 observations, and Sundays for Dogs recorded zero mentions and zero recommendations there. Copilot recorded 45 observations, and the brand recorded one mention and one recommendation. These two platforms represent the largest untapped recommendation surface for the brand.

The path from reference to recommendation on these platforms runs through the prompt and source layers. The benchmark's qualified cluster, Best Pet Supplies & Pet Food Discovery, contains prompts such as "What are the top dog foods?" and "What is the #1 best dog food brand?" These are high-intent discovery prompts where the brand is currently absent on ChatGPT and Copilot. Building recommendation readiness for these prompt types on those platforms is the clearest path to increasing valid recommendation coverage.

The brand's positive sentiment profile is an asset in this effort. With zero negative mentions and a net sentiment score of 0.7692, Sundays for Dogs does not need to correct a framing problem. It needs to build the citation and source infrastructure that makes the brand retrievable and recommendable on platforms where it currently has no presence. The opportunity is not to fix a negative narrative but to extend a positive one into new surfaces.

Competitive Landscape

Questions This Section Answers

  • Where does Sundays for Dogs rank against The Farmer's Dog and Ollie on top-three and rank-one rates?
  • What does Sundays for Dogs' average recommended rank of 4.05 say about its shortlist position?

The Farmer's Dog and Ollie hold recommendation-stage strength in the pet food delivery category, with The Farmer's Dog leading on both top-three rate and rank-one rate. Sundays for Dogs sits near the bottom of the tracked set on both measures, with a top-three rate of 2.05% and a rank-one rate of 0.00%.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

The Farmer's Dog

53.45%

35.75%

1.86

0.8792

Ollie

40.97%

2.42%

2.83

0.8895

JustFoodForDogs Vet Support

26.26%

6.33%

2.64

0.9190

Open Farm

18.99%

7.45%

3.25

0.9095

Chewy

14.34%

12.29%

2.19

0.4542

Spot & Tango

13.04%

2.61%

3.50

0.8708

Nom Nom

11.36%

0.93%

3.54

0.8563

Petco

8.57%

0.74%

2.41

0.3242

PetFlow

3.17%

0.00%

3.12

0.7000

Sundays for Dogs

2.05%

0.00%

4.05

0.7692

Average recommended rank covers rank-eligible recommendations only.

Sundays for Dogs ranks ninth out of ten tracked brands on top-three rate and is one of two brands with a zero rank-one rate. The brand's average recommended rank of 4.05 is the highest (weakest) in the tracked set, meaning that when it does earn rank-eligible credit, it typically lands at the bottom of the shortlist. The sentiment score of 0.7692 is mid-pack, above Chewy and Petco but below the category leaders.

Prompt Evidence

Gemini / Best Pet Supplies & Pet Food Discovery Prompt: "What are the top dog foods?" Result: Sundays for Dogs recorded 16 mentions and 15 valid recommendations on Gemini, the brand's strongest platform signal, with a net sentiment score of 1.0.

ChatGPT / Best Pet Supplies & Pet Food Discovery Prompt: "What is the #1 best dog food brand?" Result: Sundays for Dogs recorded zero mentions and zero recommendations on ChatGPT across 65 observations, a complete absence on the highest-volume platform in the benchmark.

Google AI Overviews / Best Pet Supplies & Pet Food Discovery Prompt: "What dog foods have a 5 star rating?" Result: Sundays for Dogs recorded 8 mentions and 5 valid recommendations on Google AI Overviews, with zero top-three placements and a valid recommendation coverage of 3.50%.

Copilot / Best Pet Supplies & Pet Food Discovery Prompt: "What food is best for dogs?" Result: Sundays for Dogs recorded one mention and one valid recommendation on Copilot across 45 observations, with zero top-three placements and zero rank-one placements.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map the specific prompts, platforms, and competitor displacements where Sundays for Dogs is mentioned but not recommended, with particular focus on ChatGPT and Copilot where the brand has no presence.

Phase 2: Recommendation Readiness Plan Identify the prompt types and buyer-intent clusters where the brand's positive sentiment profile can be converted into shortlist placement, prioritizing high-volume discovery prompts.

Phase 3: Owned Answer Layer Buildout Develop owned content and structured answers that address the specific questions AI systems are asking in the pet food delivery category, with a focus on the discovery prompts where the brand is currently absent.

Phase 4: Citation / Authority Layer Development Build the public evidence layer that AI systems retrieve and synthesize, including source pages, review placements, and informational content that supports recommendation-stage visibility on platforms where the brand has no presence.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track valid recommendation coverage, top-three rate, and rank-one rate month over month to measure whether the brand is converting presence into recommendation credit.

Why This Matters

AI presence alone is not enough. Sundays for Dogs appears in 7.26% of qualified AI responses but earns a valid recommendation in only 5.40% of them. The brand is being referenced, but it is not being chosen. In a category where The Farmer's Dog holds a 67.41% valid recommendation coverage and a 35.75% rank-one rate, the gap between presence and recommendation is the difference between being part of the conversation and being part of the shortlist.

The next move for Sundays for Dogs is targeted correction of the prompt, page, and citation layers that drive recommendation-stage visibility. The brand has a clean sentiment profile and a foothold on Gemini. What it lacks is the source infrastructure and prompt-level readiness that would extend that foothold to ChatGPT, Copilot, and Google AI Overviews. The opportunity is not to fix a negative narrative but to build a recommendation-ready presence on the platforms where the brand is currently invisible.

Core Metrics

Metric

Value

Mentions

39

Valid recommendations

29

Top 3 recommendation count

11

Rank #1 recommendation count

0

Average recommended rank

4.05

Positive mentions

30

Neutral mentions

9

Negative mentions

0

Raw mention presence rate

7.26%

Valid recommendation coverage

5.40%

Top 3 recommendation rate

2.05%

Rank #1 recommendation rate

0.00%

Net sentiment score

0.7692

Strongest cluster by recommendation behavior

Best Pet Supplies & Pet Food Discovery (C01)

Strongest platform by recommendation behavior

Gemini

Sentiment Score

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

For Sundays for Dogs in October 2026: (30 × 1 + 9 × 0 + 0 × -1) / 39 = 0.7692.

This score matters because unclassified mention counts are misleading. A brand can appear frequently in AI responses without earning a single recommendation, and 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. Sundays for Dogs has a positive sentiment score of 0.7692, which is a genuine strength, but that score does not capture whether the brand is being recommended or merely referenced. Classified sentiment is required before interpreting AI visibility, and it must be read alongside recommendation coverage, top-three rate, and rank-one rate to understand the brand's actual position in the buyer shortlist.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

Gemini

16

16

0

0

1.0000

Strongest public recommendation signal

Google AI Overviews

8

5

3

0

0.6250

Present as context, not recommendation

Google AI Mode

11

5

6

0

0.4545

Present, but not recommendation-led

Perplexity

3

3

0

0

1.0000

Positive, but sample too small

Copilot

1

1

0

0

1.0000

Positive, but sample too small

ChatGPT

0

0

0

0

N/A

No public presence in this packet

Methodology

Questions This Section Answers

  • How were mentions, valid recommendations, and average recommended rank defined in this benchmark?
  • What are the limitations of the 537 qualified observations and the 29 valid recommendations for Sundays for Dogs?
  1. This report is a benchmark-based analysis of Sundays for Dogs within the Pet Food Delivery Services category, using data from the LLM Authority Index AI Visibility Market Discovery Index for October 2026.
  2. The reporting window is October 2026, with comparisons to the July 2026 baseline and intermediate months where available.
  3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
  4. The benchmark began with 800 prompt-surface observations and produced 537 qualified observations after qualification. The July 2026 baseline produced 568 qualified observations.
  5. The competitor universe includes ten tracked brands: Chewy, JustFoodForDogs Vet Support, Nom Nom, Ollie, Open Farm, Petco, PetFlow, Spot & Tango, Sundays for Dogs, and The Farmer's Dog.
  6. One qualified cluster was used: Best Pet Supplies & Pet Food Discovery (C01). The benchmark does not yet contain qualified observations in pricing, value, or multi-brand comparison clusters.
  7. Stage 0 extraction provided prompt-level observations retaining query, platform, answer, brand outcome, recommendation placement, sentiment, and citations where exposed.
  8. A mention is defined as any appearance of the brand in an AI response, regardless of recommendation status.
  9. A valid recommendation is defined as an appearance in a recommendation shortlist where the brand receives rank-eligible credit.
  10. Average recommended rank covers rank-eligible recommendations only. Brands with no rank-eligible recommendations receive N/A.
  11. The public benchmark does not measure market share, attributable sales, every possible AI response, organic-search ranking, social mention volume, or private or sponsored channels. A metric movement alone does not establish causality.
  12. Small-count brands warrant caution in interpreting month-over-month movement. Sundays for Dogs recorded 29 valid recommendations in October 2026, a thin base for interpretation.

See How AI Is Recommending Your Brand

The public benchmark shows where Sundays for Dogs is winning and losing in AI-generated recommendations. A company-level AI visibility audit maps the specific prompts, platforms, competitors, and source patterns that explain why. It moves from coverage percentages to a prioritized view of where the brand is being recommended, where it is being displaced, and what to address first.

/ Take the next step

Want to Understand Your AI Citation Footprint?

We start every engagement with a full audit of how AI systems reference your brand today.

Measurable, Repeatable Programme

Build a durable foundation of credible citations that compounds over time and continues to influence AI answers as new queries emerge

Citation Architecture Review

Identify which high-authority community sources are and aren't working in your favour across AI platforms.

AI Visibility Audit

Understand exactly how LLMs are referencing your brand today and which sources are shaping those answers.

/ Learn More

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.

VIEW ALL CASE STUDIESREQUEST AN AI VISIBILITY AUDIT