Open Farm AI Market Strategy Report - Sustainable Pet Food and Alternative Protein

Answer Capsule

Open Farm holds dominant recommendation power in the sustainable pet food and alternative protein category, with a 66.75% valid recommendation coverage rate in September 2026, up from 65.8% in August 2026. The brand leads second-place Freshpet by 42.3 points, a gap that widened this month as Freshpet's coverage declined. Open Farm's clearest win is its overwhelming presence across AI-generated recommendations, appearing in nearly four out of five qualified observations. Its clearest weakness is a 6.3-point decline in rank-one recommendation rate, from 14.9% in August to 8.55% in September 2026, meaning the brand is recommended more often but selected first less often. The clearest opportunity is converting that broad recommendation coverage into stronger first-position placement across high-intent prompt clusters.

Who This Report Is For

This report is written for Open Farm's marketing, ecommerce, and brand strategy teams, as well as retail and distribution partners evaluating the brand's competitive position in AI-led discovery. It is also relevant to category analysts tracking how AI systems shape buyer shortlists in the sustainable pet food and alternative protein market.

Report Card

Executive Summary

Open Farm is the dominant brand in AI-generated recommendations for sustainable pet food and alternative protein. The benchmark recorded a 66.75% valid recommendation coverage rate in September 2026, meaning the brand appeared in a genuine recommendation or shortlist in roughly two out of every three qualified observations. This is more than double the coverage of the next closest brand, Freshpet, at 24.5%, and more than five times the coverage of third-place V-Dog at 13.1%.

The brand's raw mention presence rate reached 78.86% in September 2026, up from 75.3% in August 2026. Open Farm appeared in some form in nearly four out of five qualified observations, making it the most visible brand in the category by a wide margin. Positive mentions totaled 302, with 30 neutral mentions and zero negative mentions, producing a net sentiment score of 0.9096.

The strongest cluster for Open Farm is the Brand Recommendation class, which captured all 421 qualified observations in September 2026. Within this cluster, Open Farm holds a 24.94% top-three recommendation rate and an 8.55% rank-one recommendation rate. The brand's average recommended rank is 3.31, indicating that when Open Farm is recommended, it typically appears in the third position rather than first.

The clearest platform signal comes from Google AI Mode, where Open Farm achieved a 69.9% valid recommendation coverage rate and a 36.9% top-three rate. Google AI Overviews also showed strong performance, with a 69.7% coverage rate and a 34.5% top-three rate. These two platforms represent the strongest public recommendation signals for the brand.

The clearest gap is the decline in rank-one placement. Open Farm's rank-one rate fell from 14.9% in August 2026 to 8.55% in September 2026, a 6.3-point drop. This is the largest placement-metric change recorded this month. The brand is being recommended in more answers but less often as the first pick. The benchmark cannot establish why this placement pattern shifted, but the data marks it as the highest-priority diagnostic for the brand.

No negative mentions were recorded for Open Farm in September 2026. The brand's framing quality is consistently positive across all platforms where it appears. The challenge is not reputation or sentiment but recommendation primacy: converting broad presence into first-position selection.

What Open Farm Is Winning

Questions This Section Answers

• How far ahead of Freshpet and V-Dog is Open Farm in recommendation coverage?
• Which platforms drive Open Farm's strongest top-three recommendation rates?
• What does Open Farm's zero negative mentions and 0.9096 sentiment score mean for its competitive position?

Open Farm holds the strongest recommendation position in the category by every primary metric. The brand's 66.75% valid recommendation coverage rate is 42.3 points ahead of second-place Freshpet and more than five times the coverage of third-place V-Dog. This is not a marginal lead; it is category dominance.

The brand's raw mention presence rate of 78.86% means Open Farm appears in nearly four out of five qualified observations. No other brand in the tracked set exceeds 35% presence. This level of visibility ensures that Open Farm is part of the consideration set in almost every AI-generated recommendation scenario.

Open Farm's strongest platform is Google AI Mode, where it achieved a 69.9% valid recommendation coverage rate and a 36.9% top-three rate. The brand also performed strongly on Google AI Overviews, with a 69.7% coverage rate and a 34.5% top-three rate. These platforms represent the highest-volume surfaces in the benchmark and are where Open Farm's recommendation power is most pronounced.

The brand recorded zero negative mentions across all platforms and clusters. Net sentiment score is 0.9096, reflecting overwhelmingly positive framing. Among the 332 observations where Open Farm was present, 302 were positive and 30 were neutral. This absence of negative framing is a meaningful competitive advantage in a category where trust and safety concerns often shape buyer decisions.

Open Farm also holds the strongest position in the Brand Recommendation cluster, which captured all 421 qualified observations in September 2026. Within this cluster, the brand's valid recommendation count was 281, compared to 103 for Freshpet and 55 for V-Dog. The brand is not just present; it is actively recommended at a scale no competitor approaches.

Where Open Farm Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Why did Open Farm's rank-one recommendation rate fall even as its overall coverage increased?
• Which competitors achieve a stronger average recommended rank than Open Farm?
• Which high-intent clusters are missing from the benchmark, and what does that mean for assessing Open Farm's position?

The clearest gap for Open Farm is recommendation primacy. While the brand's overall coverage rate increased from August 2026 to September 2026, its rank-one recommendation rate fell from 14.9% in August 2026 to 8.55% in September 2026. This 6.3-point decline is the largest placement-metric change recorded this month. The brand is being recommended in more answers but less often as the first pick.

This pattern suggests that Open Farm is frequently included in AI-generated shortlists but is not consistently the top selection. The brand's average recommended rank is 3.31, meaning that when Open Farm is recommended, it typically appears in the third position. Competitors like V-Dog, despite much lower overall coverage, achieve a stronger average recommended rank of 1.93. This indicates that V-Dog, when recommended, is more likely to appear near the top of the list.

The gap is not about presence or sentiment. Open Farm is the most visible and most positively framed brand in the category. The gap is about conversion from recommendation to first-position selection. The benchmark cannot establish why this placement pattern shifted, but the data marks it as the highest-priority diagnostic for the brand.

A secondary gap appears in platform-specific performance. While Open Farm performs strongly on Google AI Mode and Google AI Overviews, its coverage on ChatGPT is lower at 36.8%. On Copilot, the brand's coverage rate is 70.7%, but its top-three rate is only 12.2%. These platform-level variations suggest that Open Farm's recommendation strength is not uniform across all AI surfaces. The brand may be losing first-position placement on specific platforms where competitors are gaining ground.

The benchmark also recorded no qualified observations in the Pricing & Value or Multi-Brand Comparison clusters. This means the public benchmark cannot yet speak to how Open Farm performs in price-focused or head-to-head comparison scenarios. These are high-intent prompt types that often drive purchase decisions. The absence of qualified observations in these clusters represents a measurement gap rather than a performance gap, but it limits the benchmark's ability to assess Open Farm's competitive position in those commercial contexts.

Biggest Opportunity

Questions This Section Answers

• What would it take to convert Open Farm's broad recommendation coverage into first-position placement?
• Why does an average recommended rank of 3.31 matter for Open Farm's competitive position?

The biggest opportunity for Open Farm is converting its dominant recommendation coverage into stronger first-position placement. The brand already appears in nearly four out of five qualified observations and holds a 66.75% valid recommendation coverage rate. The gap is not visibility or sentiment; it is primacy.

Closing this gap means ensuring that when AI systems generate a recommendation shortlist, Open Farm is not just included but selected first. This requires targeted work on the prompt, page, and citation layers that shape how AI systems rank and prioritize brands within a recommendation context. The brand's average recommended rank of 3.31 suggests that competitors are often placed ahead of Open Farm even when the brand is recommended. Understanding which prompts, platforms, and source patterns drive those first-position selections is the clearest path to strengthening the brand's competitive position.

The opportunity is specific and measurable. A 6.3-point decline in rank-one rate represents a meaningful shift in how AI systems prioritize Open Farm within recommendation shortlists. Reversing that decline, or at least stabilizing it, would strengthen the brand's position at the decision moment when buyers are forming their shortlist.

Competitive Landscape

Questions This Section Answers

• How does Open Farm's top-three rate and rank-one rate compare with Freshpet, V-Dog, and the rest of the tracked brands?
• Why does V-Dog have a stronger average recommended rank despite far lower overall coverage?

Open Farm holds dominant recommendation-stage strength in the sustainable pet food and alternative protein category. The brand's 66.75% valid recommendation coverage rate is more than double the next closest competitor and more than five times the coverage of third-place V-Dog. Freshpet remains the strongest challenger at 24.5% coverage, but the gap between first and second place widened to 42.3 points in September 2026.

Average recommended rank covers rank-eligible recommendations only.

Open Farm leads the category in top-three rate and rank-one rate, but its average recommended rank of 3.31 is slightly behind Freshpet at 3.29 and well behind V-Dog at 1.93. This means that while Open Farm is recommended more often than any other brand, it is not always the first pick. V-Dog, despite much lower overall coverage, achieves a stronger average recommended rank, indicating that when V-Dog is recommended, it tends to appear near the top of the list.

Prompt Evidence

Google AI Mode / Brand Recommendation Prompt: "What is the healthiest dog food for a dog?" Result: Open Farm was recommended with a top-three placement rate of 36.9% on this platform, contributing to its 69.9% valid recommendation coverage rate.

ChatGPT / Brand Recommendation Prompt: "best dog food brands" Result: Open Farm achieved a 36.8% valid recommendation coverage rate on ChatGPT, lower than its performance on Google AI Mode and Google AI Overviews, suggesting platform-specific variation in recommendation strength.

Google AI Overviews / Brand Recommendation Prompt: "best dog foods for sensitive stomach" Result: Open Farm appeared in 69.7% of qualified observations on this platform, with a 34.5% top-three rate, making it the strongest platform signal for the brand.

Perplexity / Brand Recommendation Prompt: "What's the best natural food for dogs?" Result: Open Farm achieved a 69.0% valid recommendation coverage rate on Perplexity, with a 16.7% top-three rate and a 4.8% rank-one rate.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map Open Farm's current recommendation coverage, placement patterns, and platform-specific performance across all six tracked AI surfaces. Identify the specific prompts and clusters where rank-one placement has declined.

Phase 2: Recommendation Readiness Plan Develop a targeted plan to strengthen first-position placement in high-intent prompt clusters. Prioritize platforms and prompt types where Open Farm is recommended but not selected first.

Phase 3: Owned Answer Layer Buildout Build and optimize owned content that directly addresses the prompts where Open Farm is losing first-position placement. Ensure that product pages, comparison content, and category pages are structured for AI retrieval and recommendation.

Phase 4: Citation / Authority Layer Development Strengthen the public evidence layer that AI systems draw from when generating recommendations. Focus on source types and citation patterns that support first-position selection in the sustainable pet food category.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Open Farm's recommendation coverage, top-three rate, rank-one rate, and average recommended rank on a monthly basis. Monitor platform-specific performance and adjust strategy as AI systems evolve.

Why This Matters

Questions This Section Answers

• What does the gap between Open Farm's recommendation coverage and its rank-one rate mean for buyers forming their shortlist?
• Which prompt, page, and citation layers need targeted correction to improve Open Farm's first-position selection?

AI presence alone is not enough. Open Farm is the most visible brand in the sustainable pet food and alternative protein category, appearing in nearly four out of five qualified observations. But visibility does not guarantee selection. The brand's rank-one recommendation rate declined by 6.3 points in September 2026, even as its overall coverage increased. This means that AI systems are recommending Open Farm more often but selecting it first less often.

The next move is targeted correction of the prompt, page, and citation layers that shape how AI systems prioritize brands within recommendation shortlists. The benchmark shows where Open Farm is winning and where it is losing ground. A company-level audit shows why. The gap between recommendation coverage and recommendation primacy is the clearest opportunity for Open Farm to strengthen its position at the decision moment when buyers are forming their shortlist.

Core Metrics

Sentiment Score

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

For Open Farm in September 2026: (302 × 1 + 30 × 0 + 0 × -1) / 332 = 0.9096

This score matters because unclassified mention counts are misleading. 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.

Open Farm's sentiment score of 0.9096 reflects overwhelmingly positive framing across all platforms and clusters. The brand recorded zero negative mentions in September 2026. This is a strong signal that AI systems consistently frame Open Farm in favorable terms when the brand appears in recommendations. However, sentiment alone does not capture recommendation primacy. A brand can be positively framed but still not selected first. Open Farm's challenge is not reputation but placement.

Sentiment by Platform

Questions This Section Answers

• Which platforms produce the strongest positive framing for Open Farm?
• Why does Open Farm's ChatGPT sentiment score lag behind its other platforms?

Methodology

1. This report is a benchmark-based analysis of Open Farm's position in AI-generated recommendations for the sustainable pet food and alternative protein category. It is not a client result or a full audit.
2. The reporting month is September 2026, with comparisons to August 2026 where available.
3. The benchmark tracked six AI platforms: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
4. A total of 421 qualified observations were analyzed in September 2026, drawn from a collection of 800 prompt-surface runs.
5. The competitor universe includes nine tracked brands: Freshpet, V-Dog, Wild Earth, Petaluma, PawCo Foods, Earth Animal, Jiminy's, Yora, and Noochies!
6. Three public high-intent clusters were defined: Brand Recommendation, Pricing & Value, and Multi-Brand Comparison. All 421 qualified observations fell into the Brand Recommendation cluster in September 2026.
7. Stage 0 extraction retained the query, AI surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources.
8. A mention is defined as any appearance of the brand in an AI response, regardless of whether the brand is recommended.
9. A valid recommendation is defined as an appearance in a genuine recommendation or shortlist, as marked by the dataset. Negative, neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations unless explicitly marked.
10. Brand-level percentages are calculated against the qualified benchmark set of 421 observations, not the raw collection universe of 800 prompts.
11. Open Farm's rank-one rate decline is reported as a placement-level change worth watching. It does not by itself establish a cause for that change.
12. The benchmark has used six AI surface families throughout this series, and qualified surface breadth held at 6 in both August and September 2026.

See How AI Is Recommending Your Brand

The public benchmark shows where Open Farm is winning and where it is losing ground in AI-generated recommendations. A company-level AI visibility audit maps the specific prompts, platforms, competitors, and source patterns that shape how AI systems recommend your brand. It investigates why placement patterns shift and what can be done about it, turning the benchmark signal into an action plan.