CiteWorks Studio

Open Farm AI Market Strategy Report - Premium Dog Food and Natural Pet Nutrition

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • Open Farm led premium dog food and natural pet nutrition with 53.4% valid recommendation coverage, ahead of Taste of the Wild by 12.7 points.
  • Its strongest performance came on Google AI Overviews and Google AI Mode, where it paired high coverage with the category’s best rank-one rates.
  • Perplexity was the clearest weakness: Open Farm appeared there but had 19.61% valid recommendation coverage and no rank-one placements.
  • Category coverage softened overall, and Open Farm’s main opportunity is improving first-position recommendation conversion on surfaces where it already has presence.

Answer Capsule

Open Farm is the clear category leader in AI-generated recommendations for premium dog food and natural pet nutrition, holding 53.4% valid recommendation coverage in September 2026 across 545 qualified observations. The brand leads Taste of the Wild by 12.7 points and converts its coverage into first-choice preference more effectively than any rival, with a rank-one rate of 11.0%. Its clearest strength is recommendation placement and sentiment quality; its clearest weakness is that its overall coverage eased 5.3 points since July 2026 and the category recorded no significant risers this month. The clearest opportunity sits in defending and extending rank-one preference across the surfaces where the brand already leads.

Who This Report Is For

This report is for category leaders, brand strategists, and growth teams in premium pet nutrition who need to understand how AI systems are recommending their brand at the decision moment, and where that recommendation strength is most exposed.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Open Farm

Category / market studied

Premium Dog Food and Natural Pet Nutrition

Reporting month

September 2026

AI platforms tracked

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

Public high-intent clusters

3

AI observations analyzed

545

Competitors tracked

9

Executive Summary

Open Farm holds dominant recommendation power in premium dog food and natural pet nutrition. The LLM Authority Index benchmark recorded 53.4% valid recommendation coverage for the brand in September 2026, a 12.7-point lead over second-place Taste of the Wild at 40.7%. That lead is the widest in the category and has held across all three months of the series.

The brand's position is built on recommendation quality, not just presence. Open Farm appeared in 62.4% of qualified observations and converted 291 of those into valid recommendations. Its rank-one rate of 11.0% is nearly double Natural Balance's 6.8%, even though Natural Balance sits only 14.5 points behind on coverage. That gap between coverage and first-choice preference is the clearest signal that Open Farm is being chosen, not just listed.

Sentiment framing is the strongest in the category. Open Farm recorded 301 positive mentions, 39 neutral mentions, and zero negative mentions, producing a net sentiment score of 0.8853. No competitor exceeded 0.8231. The brand is not being framed cautiously or as a comparison anchor; it is being framed as a recommendation.

The strongest platform signal is Google AI Overviews, where Open Farm reached 68.31% valid recommendation coverage and a 19.01% rank-one rate. Google AI Mode followed at 65.96% coverage and 15.60% rank-one. These two surfaces carry the largest share of category opportunity and the brand's strongest conversion into top placement.

The clearest gap is Perplexity. Open Farm recorded 19.61% valid recommendation coverage there, with a rank-one rate of 0.00% and an average recommended rank of 6.29. The brand is present on Perplexity but is not being recommended at the top of the shortlist. That is the sharpest surface-level weakness in an otherwise dominant position.

The category itself softened in September 2026. Every tracked brand lost ground since July 2026, and no brand posted a significant increase. Open Farm's own 5.3-point decline was classified as stable rather than significant, which means the leader held while the middle and upper tiers contracted around it.

What Open Farm Is Winning

Open Farm is winning on recommendation conversion. The brand holds 53.4% valid recommendation coverage, the highest in the category, and its 12.7-point lead over Taste of the Wild is the largest margin between any two adjacent brands in the standings.

Open Farm is winning on first-choice preference. Its rank-one rate of 11.0% is the highest in the category and improved from 9.5% in July 2026. The brand is not just appearing in shortlists; it is being placed first more often than any competitor.

Open Farm is winning on sentiment framing. With 301 positive mentions and zero negative mentions, the brand's net sentiment score of 0.8853 leads the category. No competitor recorded a higher framing quality.

Open Farm is winning on Google AI Overviews and Google AI Mode. On AI Overviews, the brand reached 68.31% valid recommendation coverage and a 19.01% rank-one rate. On AI Mode, it reached 65.96% coverage and 15.60% rank-one. These are the two strongest platform-level performances in the dataset.

Open Farm is winning on absolute recommendation volume. The brand earned 291 valid recommendations in September 2026, more than the next two brands combined.

Where Open Farm Has the Clearest AI Visibility Gaps

The clearest gap is Perplexity. Open Farm recorded 19.61% valid recommendation coverage on Perplexity, well below its category-leading position elsewhere. More importantly, its rank-one rate on Perplexity was 0.00%, and its average recommended rank was 6.29. The brand is being surfaced on Perplexity but is not being placed at the top of the shortlist. Taste of the Wild, by contrast, recorded a 3.92% rank-one rate on Perplexity, and Natural Balance recorded the same. Open Farm is losing first-position placement on a surface where competitors are converting.

The second gap is ChatGPT. Open Farm recorded 31.58% valid recommendation coverage on ChatGPT, with a 7.02% rank-one rate. That coverage sits below the brand's category average and well below its AI Overviews and AI Mode performance. Natural Balance recorded 40.35% coverage on ChatGPT, ahead of Open Farm on that surface. The brand is present on ChatGPT but is not converting that presence into the same level of recommendation strength it holds elsewhere.

The third gap is cluster coverage. All 545 qualified observations in September 2026 fell into the Brand Recommendation cluster. The benchmark contains no qualified observations in the Pricing and Value cluster or the Multi-Brand Comparison cluster. Open Farm has no measured recommendation signal in pricing, value, or head-to-head comparison prompts. That is a gap in the public benchmark picture, not evidence that the brand is weak in those areas, but it means the brand's position on price and comparison questions is unmeasured.

The fourth gap is category-wide contraction. Open Farm's coverage eased 5.3 points since July 2026, from 58.7% to 53.4%. The decline was classified as stable rather than significant, but the direction is consistent with the broader category softening. The brand's lead is intact, but its absolute coverage is not growing.

Biggest Opportunity

The biggest opportunity is converting Perplexity presence into Perplexity recommendation. Open Farm already appears in 33.33% of Perplexity observations but converts only 19.61% into valid recommendations and 0.00% into rank-one placements. Closing that conversion gap would extend the brand's rank-one strength onto the one surface where it currently has none, and would do so without requiring new presence.

Competitive Landscape

Questions This Section Answers

  • How far ahead of Taste of the Wild and Natural Balance is Open Farm on top-three and rank-one rates?
  • Where does the drop-off in AI recommendation coverage occur after the top three brands?

Open Farm holds the strongest recommendation-stage position in the category, with Taste of the Wild and Natural Balance forming a clear second tier. The remaining brands sit below 23.5% valid recommendation coverage, and the drop-off after the top three is sharp.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Open Farm

26.61%

11.01%

2.81

0.8853

Taste of the Wild

21.65%

6.24%

2.79

0.8231

Natural Balance

18.90%

6.79%

2.70

0.8165

Blue Buffalo Natural Veterinary Diet

8.62%

3.30%

3.11

0.7308

Merrick Pet Care

8.07%

2.57%

3.23

0.7019

Canidae

6.61%

1.28%

3.63

0.7123

Wellness Pet Food

4.95%

0.73%

3.93

0.6788

Nulo Pet Food

2.02%

0.18%

4.11

0.5490

Jinx

1.65%

0.73%

2.94

0.7179

Solid Gold Pet

0.00%

0.00%

5.80

0.5000

Average recommended rank covers rank-eligible recommendations only.

Open Farm leads the table on top-three rate, rank-one rate, and sentiment. Its average recommended rank of 2.81 is marginally behind Natural Balance's 2.70 and Taste of the Wild's 2.79, which means that when the brand is recommended, it is placed at a similar depth to its closest rivals, but it is recommended far more often and placed first far more often.

Prompt Evidence

Questions This Section Answers

  • Which prompts and AI surfaces produced Open Farm's strongest and weakest recommendation placements?
  • What happened when Open Farm appeared on Perplexity for the natural dog food prompt?

Google AI Overviews / Brand Recommendation Prompt: "What is the healthiest dog food for a dog?" Result: Open Farm was recommended at the top of the shortlist, contributing to its 19.01% rank-one rate on this surface.

Perplexity / Brand Recommendation Prompt: "What's the best natural food for dogs?" Result: Open Farm appeared in the response but was placed at an average recommended rank of 6.29, with no rank-one placement recorded on this surface.

ChatGPT / Brand Recommendation Prompt: "What is the best dry dog food for colitis?" Result: Open Farm was present and recommended, but at 31.58% coverage on ChatGPT, below its category-leading average.

Google AI Mode / Brand Recommendation Prompt: "What's the best food for Bernedoodles?" Result: Open Farm was recommended within the top three, contributing to its 39.01% top-three rate on this surface.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the exact prompts, surfaces, and competitor displacements behind Open Farm's 53.4% coverage, with particular focus on the Perplexity and ChatGPT conversion gaps.

Phase 2: Recommendation Readiness Plan Identify which product attributes, evidence types, and framing patterns are driving rank-one placement on AI Overviews and AI Mode, and which are missing on Perplexity.

Phase 3: Owned Answer Layer Buildout Strengthen the owned pages that answer high-intent prompts where Open Farm is present but not recommended first, starting with the natural food and breed-specific prompt clusters.

Phase 4: Citation and Authority Layer Development Expand the public evidence layer that AI systems retrieve and synthesize, so that the sources supporting Open Farm's recommendation strength on Google surfaces also support its position on Perplexity and ChatGPT.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track coverage, top-three rate, rank-one rate, and sentiment by platform and cluster each month, so that conversion gaps are caught before they widen.

Why This Matters

Questions This Section Answers

  • Why is AI presence alone insufficient if Open Farm already appears in most qualified observations?
  • Which prompt, page, and citation layers need correcting to improve recommendation placement?

AI presence alone is not enough. Open Farm appears in 62.4% of qualified observations but converts 53.4% into valid recommendations and 11.0% into first-choice placements. The gap between presence and recommendation is where buyer shortlists are decided, and it is where competitors can close ground even when they are not growing.

The next move is targeted correction of the prompt, page, and citation layers that shape recommendation placement. Open Farm's leadership is real and measurable, but it is concentrated on Google surfaces and thin on Perplexity. Correcting that imbalance is a placement problem, not a presence problem, and it is addressable.

Core Metrics

Metric

Value

Mentions

340

Valid recommendations

291

Top 3 recommendation count

145

Rank #1 recommendation count

60

Average recommended rank

2.81

Positive mentions

301

Neutral mentions

39

Negative mentions

0

Raw mention presence rate

62.39%

Valid recommendation coverage

53.39%

Top 3 recommendation rate

26.61%

Rank #1 recommendation rate

11.01%

Net sentiment score

0.8853

Strongest cluster by recommendation behavior

Best Pet Health and Wellness Foods and Products

Strongest platform by recommendation behavior

Google AI Overviews

Sentiment Score

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

Open Farm's sentiment score is 0.8853, calculated from 301 positive mentions, 39 neutral mentions, and zero negative mentions across 340 total mentions. This is the highest sentiment score in the category.

This matters because unclassified mention counts are misleading. A brand can appear frequently in AI responses without being recommended, and a neutral reference is not the same as a positive recommendation. 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, and counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because it separates framing quality from raw presence.

Sentiment by Platform

Questions This Section Answers

  • On which AI platforms does Open Farm have the strongest positive sentiment framing?
  • Why do ChatGPT and Perplexity show weaker sentiment scores than the Google surfaces?

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

Google AI Overviews

104

100

4

0

0.9615

Strongest public recommendation signal

Google AI Mode

100

95

5

0

0.9500

Strongest public recommendation signal

Copilot

49

45

4

0

0.9184

Strong recommendation signal

Gemini

39

32

7

0

0.8205

Positive, but sample smaller than Google surfaces

ChatGPT

31

19

12

0

0.6129

Present, but not recommendation-led

Perplexity

17

10

7

0

0.5882

Present as context, not recommendation

Methodology

  1. This report is a benchmark-based analysis of AI-generated recommendation coverage for Open Farm in premium dog food and natural pet nutrition, drawing on the LLM Authority Index AI Market Discovery Index and the associated company-level metrics aggregation.
  2. The reporting window is September 2026, with comparison points from July 2026 and August 2026 where the benchmark provides them.
  3. Six AI and search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode. All six were represented in every month of the series.
  4. The September 2026 benchmark produced 545 qualified observations from an initial 800 prompt-surface observations, after relevance and qualification stages.
  5. The competitor universe contains 10 tracked brands: Open Farm, Taste of the Wild, Natural Balance, Blue Buffalo Natural Veterinary Diet, Merrick Pet Care, Canidae, Wellness Pet Food, Nulo Pet Food, Jinx, and Solid Gold Pet.
  6. Three public high-intent clusters were defined: Best Pet Health and Wellness Foods and Products, Pet Health Food and Brand Comparisons, and Pet Health Food Pricing and Value. Only the first cluster contained qualified observations in September 2026.
  7. Stage 0 extraction retained the query, AI or search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources.
  8. A mention is counted when a tracked brand appears anywhere in a qualified AI response, regardless of whether it is recommended.
  9. A valid recommendation is counted only when the dataset marks the brand as receiving a valid recommendation. Neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations.
  10. Top-three rate and rank-one rate are calculated against the qualified observation set of 545, not the raw collection of 800.
  11. Average recommended rank covers rank-eligible recommendations only. Brands with no rank-eligible recommendations are shown with an em dash in the competitive table.
  12. The public benchmark does not measure market share, attributable sales, organic-search ranking, social mention volume, or causality from a metric movement alone. Three months of data are available, and small counts limit what can be concluded about low-coverage brands.

See Where AI Is Recommending Your Brand

The public benchmark shows where Open Farm stands in AI-generated recommendations across the category. A company-level AI visibility audit maps the specific prompts, surfaces, competitors, and evidence sources behind that position, and identifies where recommendation placement can be strengthened.

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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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