CiteWorks Studio

Open Farm AI Market Strategy Report - Pet Food Delivery Services

Mark HuntleyBy Mark HuntleyFounder and CEO
12 minutes read

Key Takeaways

  • Open Farm ranks fourth in pet food delivery services with 32.0% valid recommendation coverage across 559 qualified observations.
  • The brand has the category’s highest net sentiment score at 0.9283, with 207 positive mentions and no negative mentions.
  • Open Farm appears in 39.9% of observations but converts only 32.0% into valid recommendations, showing a 7.9-point mention-to-recommendation gap.
  • Coverage fell 13.6 points from July to September 2026, while Google AI Mode and Google AI Overviews remained its strongest platforms for recommendation performance.

Answer Capsule

Open Farm holds 32.0% valid recommendation coverage in the September 2026 LLM Authority Index benchmark for Pet Food Delivery Services, ranking fourth of ten tracked brands. The brand is visible but under-recommended relative to its presence: it appears in 39.9% of qualified observations but converts only 32.0% of those into valid recommendations, and its rank-one rate of 5.2% trails both The Farmer's Dog (27.0%) and JustFoodForDogs Vet Support (6.4%). The clearest win is sentiment quality, where Open Farm records the highest net sentiment score in the category at 0.9283. The clearest weakness is a broad-based decline across both presence and placement, with coverage down 13.6 points from the July 2026 baseline. The clearest opportunity is converting its strong positive framing into higher placement in the recommendation shortlist.

Who This Report Is For

This report is for Open Farm's marketing, brand, and ecommerce leadership, and for category strategists evaluating how fresh and premium pet food brands are positioned in AI-generated recommendations across major AI and search surfaces.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Open Farm

Category / market studied

Pet Food Delivery Services

Reporting month

September 2026

AI platforms tracked

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

Public high-intent clusters

1 qualified (Brand Recommendation)

AI observations analyzed

559 qualified observations

Competitors tracked

9

Executive Summary

Open Farm enters September 2026 as the fourth-ranked brand in the Pet Food Delivery Services category by valid recommendation coverage, at 32.0%. The brand sits behind The Farmer's Dog (57.8%), Ollie (46.2%), and JustFoodForDogs Vet Support (32.9%), and ahead of Spot & Tango (28.4%), Nom Nom (22.4%), Chewy (14.7%), Petco (6.6%), Sundays for Dogs (3.9%), and PetFlow (3.0%).

The benchmark shows a clear presence-to-recommendation gap for Open Farm. The brand appears in 39.9% of qualified observations, but only 32.0% of those observations produce a valid recommendation. That 7.9-point gap means Open Farm is mentioned in AI answers more often than it is shortlisted, a pattern the dataset marks as visibility without full recommendation conversion.

Sentiment is Open Farm's strongest signal. The brand records a net sentiment score of 0.9283, the highest in the tracked set, with 207 positive mentions, 16 neutral mentions, and zero negative mentions across 559 qualified observations. When AI systems do discuss Open Farm, the framing is overwhelmingly favorable.

The weakest signal is placement. Open Farm's top-three rate is 12.2% and its rank-one rate is 5.2%. The Farmer's Dog converts 27.0% of qualified observations into first-position recommendations, more than five times Open Farm's rate. Ollie holds a 24.5% top-three rate despite a rank-one rate of only 2.5%, showing that top-three presence and first-position presence are distinct competitive assets.

The strongest platform signal for Open Farm is Google AI Mode, where the brand records a 35.0% valid recommendation coverage rate and a 10.9% rank-one rate, both above its overall averages. Google AI Overviews also performs above baseline at 42.9% coverage. The weakest platform signal is Copilot, where Open Farm records a 29.8% coverage rate but a 0.0% rank-one rate and an average recommended rank of 5.0.

The clearest gap is the absence of qualified observations in the Pricing & Value and Multi-Brand Comparison clusters. All 559 qualified observations in September 2026 fell into the Brand Recommendation class, so the benchmark cannot yet speak to how Open Farm performs in cost-focused or head-to-head comparison prompts. This is a measurement limitation, not a brand weakness, but it constrains what the current public data can conclude.

The series-level picture is a broad decline. Open Farm's coverage fell from 45.6% in July 2026 to 32.0% in September 2026, a drop of 13.6 points. Presence fell from 49.5% to 39.9% over the same period. The brand declined in each of the two months since baseline, alongside eight other tracked brands, while Sundays for Dogs remained stable.

What Open Farm Is Winning

Questions This Section Answers

  • Where does Open Farm outperform its own category averages, by platform?
  • How does Open Farm's sentiment compare with the rest of the tracked pet food brands?
  • What does Open Farm's average recommended rank say about where it typically lands in AI shortlists?

Open Farm holds the highest net sentiment score in the category at 0.9283. Across 223 mentions, the brand recorded 207 positive, 16 neutral, and zero negative classifications. No other tracked brand matches this combination of high positive volume and zero negative framing.

The brand also performs above its own baseline on Google AI Mode and Google AI Overviews. On Google AI Mode, Open Farm records 35.0% valid recommendation coverage and a 10.9% rank-one rate, both above its overall averages of 32.0% and 5.2%. On Google AI Overviews, coverage reaches 42.9%, the second-highest platform result for the brand after Google AI Mode.

Open Farm's rank-one count of 29 is the second-highest in the category, behind only The Farmer's Dog at 151 and ahead of JustFoodForDogs Vet Support at 36. This means that when Open Farm does reach the first position, it does so across a meaningful number of observations, not just a handful.

The brand's average recommended rank of 3.124 is mid-pack but respectable, better than Nom Nom (3.5789), Spot & Tango (3.4775), and PetFlow (4.125). When Open Farm is recommended, it tends to appear in the middle of the shortlist rather than at the bottom.

Where Open Farm Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why does Open Farm convert fewer AI mentions into recommendations than The Farmer's Dog or Ollie?
  • Which platform produces Open Farm's weakest recommendation placement?
  • How much recommendation coverage has Open Farm lost since the July 2026 baseline?

The primary gap is recommendation conversion. Open Farm's presence rate of 39.9% and its valid recommendation coverage of 32.0% leave a 7.9-point gap where the brand is mentioned but not shortlisted. By comparison, The Farmer's Dog converts 76.6% presence into 57.8% coverage, a gap of 18.8 points but from a much higher base. Ollie converts 61.5% presence into 46.2% coverage. Open Farm's conversion ratio is lower than both leaders.

The second gap is first-position placement. Open Farm's rank-one rate of 5.2% is less than one-fifth of The Farmer's Dog's 27.0%. Even JustFoodForDogs Vet Support, which has lower overall coverage at 32.9%, achieves a higher rank-one rate at 6.4%. This suggests that Open Farm is frequently included in recommendation lists but rarely chosen as the top option.

The third gap is platform inconsistency. On Copilot, Open Farm records a 0.0% rank-one rate and an average recommended rank of 5.0, the weakest placement profile across its tracked platforms. On ChatGPT, the brand records a 4.5% rank-one rate and an average recommended rank of 2.5714, which is stronger. The variance suggests that Open Farm's recommendation position depends heavily on which AI surface is answering the prompt.

The fourth gap is the decline trajectory. Open Farm's coverage fell 13.6 points from July to September 2026, the third-largest cumulative decline in the category behind The Farmer's Dog (15.8 points) and Ollie (14.5 points). Presence fell 9.6 points over the same period. The brand lost both visibility and recommendation credit, unlike Chewy, which held presence steady while losing recommendation credit.

Competitor displacement is visible in the cluster data. The Farmer's Dog holds the strongest position in the Brand Recommendation cluster with a 38.8% top-three rate and a 27.0% rank-one rate. JustFoodForDogs Vet Support holds a 20.6% top-three rate and a 6.4% rank-one rate. Open Farm's 12.2% top-three rate places it fourth in the cluster, behind these two brands and Ollie.

Biggest Opportunity

Open Farm's clearest path from reference to recommendation runs through converting its positive framing into higher placement. The brand already earns the strongest sentiment in the category and appears in nearly 40% of qualified observations. The gap is not awareness or perception; it is shortlist position.

The specific opportunity is to increase rank-one and top-three rates on the platforms where Open Farm already performs well. Google AI Mode and Google AI Overviews both show above-average coverage for the brand, and Google AI Mode already produces a 10.9% rank-one rate. Strengthening the owned answer layer and citation architecture on the prompts that drive these surfaces could lift Open Farm from mid-list inclusion to first-position recommendation.

A secondary opportunity is to close the Copilot gap. Open Farm records a 29.8% coverage rate on Copilot but a 0.0% rank-one rate and an average recommended rank of 5.0. The brand is present on Copilot but not competitive for the top slot. Understanding which prompts drive Copilot recommendations and which sources those answers draw from could reveal a targeted correction path.

Competitive Landscape

Questions This Section Answers

  • How does Open Farm's top-three and rank-one rate compare with The Farmer's Dog, Ollie, and JustFoodForDogs Vet Support?
  • Why is Open Farm's recommendation position closer to Spot & Tango and Nom Nom despite having the highest sentiment?

The Farmer's Dog holds dominant recommendation power in the Pet Food Delivery Services category, with Ollie as the strongest challenger and JustFoodForDogs Vet Support as the third-ranked brand. Open Farm sits fourth, with strong sentiment but lower placement rates than the three brands ahead of it.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

The Farmer's Dog

38.82%

27.01%

1.6498

0.8364

Ollie

24.51%

2.50%

2.7143

0.8372

JustFoodForDogs Vet Support

20.57%

6.44%

2.4752

0.8955

Open Farm

12.16%

5.19%

3.124

0.9283

Spot & Tango

10.73%

2.33%

3.4775

0.845

Nom Nom

6.98%

0.18%

3.5789

0.8167

Chewy

6.80%

5.19%

2.7193

0.3728

Petco

2.86%

0.18%

3

0.2315

Sundays for Dogs

1.07%

0.54%

3.3

0.7143

PetFlow

0.36%

0.00%

4.125

0.5641

Average recommended rank covers rank-eligible recommendations only.

Open Farm ranks fourth by top-three rate and fourth by rank-one rate, but first by sentiment. The table shows that Open Farm's recommendation position is closer to Spot & Tango and Nom Nom than to the three brands ahead of it, even though its sentiment score exceeds all of them. The brand is well-regarded but not yet a default first choice in AI-generated shortlists.

Prompt Evidence

Google AI Mode / Brand Recommendation Prompt: "What is the best place to get pet supplies?" Result: Open Farm appeared in the recommendation set with a 35.0% cluster coverage rate on this platform, contributing to its above-average Google AI Mode performance.

Copilot / Brand Recommendation Prompt: "What is the healthiest dog food for a dog?" Result: Open Farm was mentioned but recorded a 0.0% rank-one rate on Copilot, with an average recommended rank of 5.0 when included.

ChatGPT / Brand Recommendation Prompt: "What dog foods have a 5 star rating?" Result: Open Farm earned a 4.5% rank-one rate on ChatGPT, with an average recommended rank of 2.5714, showing stronger placement on this surface than on Copilot.

Google AI Overviews / Brand Recommendation Prompt: "What is the healthiest dog food for dogs with sensitive stomachs?" Result: Open Farm recorded a 42.9% valid recommendation coverage rate on Google AI Overviews, its second-strongest platform result.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompts, platforms, and competitor displacements driving Open Farm's 7.9-point presence-to-recommendation gap and its 5.2% rank-one rate.

Phase 2: Recommendation Readiness Plan Identify which prompt clusters and platforms offer the clearest path from mid-list inclusion to top-three and first-position placement, prioritizing Google AI Mode and Google AI Overviews where Open Farm already performs above baseline.

Phase 3: Owned Answer Layer Buildout Strengthen the pages and content assets that AI systems retrieve when answering high-intent pet food prompts, with emphasis on the health, ingredient, and sensitive-stomach queries where Open Farm's sentiment is strongest.

Phase 4: Citation / Authority Layer Development Develop the public evidence layer, including third-party sources, expert references, and structured data, that AI systems appear to synthesize from when forming recommendation shortlists in this category.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Open Farm's coverage, top-three rate, rank-one rate, and sentiment across all six platforms monthly to measure whether placement improves and whether the Copilot gap closes.

Why This Matters

Questions This Section Answers

  • What is the difference between being mentioned in an AI shortlist and being recommended first?
  • What should Open Farm fix to move from mid-list inclusion to first-position recommendation?

AI-generated recommendations are becoming a primary discovery layer for high-consideration purchases like pet food delivery. Buyers who ask an AI system for the healthiest dog food or the best fresh pet food brand receive a shortlist, not a search results page. Being mentioned in that shortlist is not the same as being recommended first, and Open Farm's data shows exactly that distinction: strong sentiment, solid presence, but lower placement than three competitors.

The next move is not to increase visibility for its own sake. Open Farm already appears in nearly 40% of qualified observations. The next move is to correct the prompt, page, and citation layers that determine where Open Farm lands within the recommendation list. That means understanding which prompts produce first-position recommendations, which sources AI systems cite when forming those answers, and which competitor is inheriting the top slot when Open Farm is included but not chosen.

Core Metrics

Metric

Value

Mentions

223

Valid recommendations

179

Top 3 recommendation count

68

Rank #1 recommendation count

29

Average recommended rank

3.124

Positive mentions

207

Neutral mentions

16

Negative mentions

0

Raw mention presence rate

39.89%

Valid recommendation coverage

32.02%

Top 3 recommendation rate

12.16%

Rank #1 recommendation rate

5.19%

Net sentiment score

0.9283

Strongest cluster by recommendation behavior

Brand Recommendation (C01)

Strongest platform by recommendation behavior

Google AI Overviews (42.95% coverage)

Sentiment Score

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

For Open Farm in September 2026: (207 × 1 + 16 × 0 + 0 × -1) / 223 = 0.9283.

This score matters because unclassified mention counts are misleading. A brand can appear frequently in AI answers without being recommended, and a mention that frames a brand as a cautionary example is not equivalent to a mention that recommends it. Open Farm's 223 mentions include 207 positive classifications and zero negative classifications, which means the brand's framing quality is exceptionally strong.

Share of voice is a diagnostic metric, not a business KPI. Counting all mentions as wins is bad measurement. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal. Open Farm's high sentiment score indicates that when AI systems discuss the brand, they do so favorably. But sentiment alone does not determine placement. The brand's 5.2% rank-one rate shows that positive framing does not automatically convert into first-position recommendations.

Classified sentiment is required before interpreting AI visibility. Open Farm's zero negative mentions and 207 positive mentions give the brand a strong foundation. The question is whether that foundation can be converted into higher placement in the recommendation shortlist.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

14

12

2

0

0.8571

Positive, but sample small

Copilot

24

19

5

0

0.7917

Present, but not recommendation-led

Gemini

34

32

2

0

0.9412

Strongest public recommendation signal

Perplexity

23

22

1

0

0.9565

Positive, but sample small

Google AI Overviews

70

68

2

0

0.9714

Strongest public recommendation signal

Google AI Mode

58

54

4

0

0.931

Strongest public recommendation signal

Methodology

  1. This report is a benchmark-based analysis of Open Farm's AI recommendation performance in the Pet Food Delivery Services category, using data from the LLM Authority Index AI Market Discovery Index for September 2026.
  2. The reporting window is September 2026, with comparisons to July 2026 (baseline) and August 2026 where available.
  3. Six AI and search platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
  4. The September 2026 benchmark analyzed 559 qualified observations, drawn from 800 source prompt-surface observations and 610 unique questions.
  5. The competitor universe includes ten tracked brands: The Farmer's Dog, Ollie, JustFoodForDogs Vet Support, Open Farm, Spot & Tango, Nom Nom, Chewy, Petco, Sundays for Dogs, and PetFlow.
  6. All qualified observations in September 2026 fell into the Brand Recommendation cluster. The Pricing & Value and Multi-Brand Comparison clusters produced zero qualified observations in the current public series.
  7. Stage 0 extraction retained the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources.
  8. A mention is defined as any appearance of a tracked brand in a qualified observation, regardless of recommendation status.
  9. A valid recommendation is defined as an observation where the brand appears in a recommendation shortlist, as marked by the dataset.
  10. Brand-level percentages use the 559 qualified observations as the public denominator, not the raw 800-prompt collection.
  11. Average recommended rank covers rank-eligible recommendations only. Brands with no rank-eligible recommendations are marked N/A.
  12. Small-count brands (PetFlow, Sundays for Dogs) warrant caution in interpreting month-over-month movement. Open Farm's 179 valid recommendations provide a stable base for analysis.
  13. The benchmark does not measure market share, attributable sales, organic-search ranking, or social mention volume. A metric movement alone does not establish causality.

See How AI Is Recommending Your Brand

The public benchmark shows where Open Farm stands in AI-generated recommendations across the Pet Food Delivery Services category. A company-level AI visibility audit maps the specific prompts, platforms, competitors, and evidence sources driving those results, and identifies where Open Farm can move from mid-list inclusion to first-position recommendation.

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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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