Earth Animal AI Market Strategy Report - Sustainable Pet Food and Alternative Protein
This report supports CiteWorks Studio's examination of how AI search is recommending Sustainable Pet Food and Alternative Protein. For more detail, you can also read Sustainable Pet Food and Alternative Protein: AI Discovery Index.
On this report
Browse sections
- Answer Capsule
- Who This Report Is For
- Report Card
- Executive Summary
- What Earth Animal Is Winning
- Where Earth Animal Has the Clearest AI Visibility Gaps
- Biggest Opportunity
- Competitive Landscape
- Prompt Evidence
- What CiteWorks Studio Would Do Next
- Why This Matters
- Core Metrics
- Sentiment Score
- Sentiment by Platform
- Methodology
- See Where AI Is Recommending Your Brand
- Next Step
- Learn More
Key Takeaways
- Earth Animal's valid recommendation coverage rose to 2.4% in September 2026 from 2.0% in August, but the brand still ranked seventh out of ten tracked brands.
- The brand's strongest signal was sentiment: 12 positive mentions, 2 neutral mentions, and no negative mentions produced a 0.86 net sentiment score.
- Earth Animal appeared in 3.3% of qualified observations but converted only 2.4% into valid recommendations, showing a gap between visibility and shortlist placement.
- Google AI Overviews was the brand's best-performing surface, while Google AI Mode was the biggest gap with zero mentions across the largest recommendation pool.
Answer Capsule
Earth Animal holds a 2.4% valid recommendation coverage rate in September 2026, up 0.4 points from 2.0% in August 2026, placing it seventh among ten tracked brands in the sustainable pet food and alternative protein category. The brand is visible but under-recommended: it appears in 3.3% of qualified observations but converts only 2.4% into genuine recommendations, and its top-three rate sits at 0.5%. The clearest win is a 0.86 net sentiment score with zero negative mentions, while the clearest weakness is near-total absence from the platforms where category recommendations are most heavily formed. The biggest opportunity is converting its existing positive framing into shortlist placement in the brand recommendation cluster, where all 421 qualified September observations were concentrated.
Who This Report Is For
This report is for Earth Animal's marketing, ecommerce, and brand strategy teams, and for category analysts tracking how AI systems recommend sustainable and alternative protein pet food brands at the decision moment.
Report Card
Field | Value |
|---|---|
Report type | AI Company Market Strategy Report |
Target company | Earth Animal |
Category / market studied | Sustainable Pet Food and Alternative Protein |
Reporting month | September 2026 |
AI platforms tracked | 6 (ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, Google AI Mode) |
Public high-intent clusters | 3 |
AI observations analyzed | 421 |
Competitors tracked | 10 |
Executive Summary
Earth Animal holds a 2.4% valid recommendation coverage rate in September 2026, up 0.4 points from 2.0% in August 2026. That places the brand seventh of ten tracked companies, well behind category leader Open Farm at 66.8% and second-place Freshpet at 24.5%. The benchmark shows Earth Animal is present in the category conversation but is not yet part of the buyer shortlist at scale.
The gap between presence and recommendation is the defining pattern. Earth Animal's raw mention presence rate is 3.3%, meaning it appears in some form in roughly one in thirty qualified observations. Its valid recommendation coverage is 2.4%, so a meaningful share of its appearances are reference-style rather than recommendation-style. Its top-three rate is 0.5% and its rank-one rate is 0.2%, which means the brand is almost never placed in a leading recommendation position when it does appear.
Sentiment is the clearest positive signal. Earth Animal recorded 12 positive mentions, 2 neutral mentions, and zero negative mentions in September 2026, producing a net sentiment score of 0.86. The benchmark found no cautionary or negative framing attached to the brand this month. That is a clean framing position that most mid-tier brands in this category do not hold.
The strongest cluster is C01, Best Sustainable and Alternative Protein Pet Food, where all of Earth Animal's September activity was recorded. The brand registered a 0.5% top-three rate and a 0.2% rank-one rate in that cluster. Clusters C02 (Sustainable Pet Food Brand Comparisons) and C03 (Sustainable and Alternative Protein Pet Food Pricing and Value) recorded zero qualified observations across the entire benchmark this month, so no brand-level read is available there.
The strongest platform signal for Earth Animal is Google AI Overviews, where the brand recorded a 4.2% valid recommendation coverage rate, a 1.4% top-three rate, and a 0.7% rank-one rate. That is the only platform where Earth Animal earned any rank-one credit in September. Google AI Mode, the largest single platform pool in the benchmark at 103 qualified observations, recorded zero Earth Animal mentions.
The clearest platform gap is Google AI Mode. That surface carries the largest share of category recommendation activity and produced zero Earth Animal presence in September 2026. ChatGPT, Copilot, Gemini, and Perplexity each recorded some Earth Animal presence, but none produced a top-three placement. The pattern suggests the brand is being retrieved as context on several surfaces without being selected as a recommendation on any of them except Google AI Overviews.
What Earth Animal Is Winning
Questions This Section Answers
- Which AI platforms and signals are producing Earth Animal's strongest recommendation results?
- How does Earth Animal's sentiment compare with other sustainable pet food brands?
Earth Animal's strongest evidence-backed win is its framing quality. The brand recorded 12 positive mentions, 2 neutral mentions, and zero negative mentions in September 2026, producing a net sentiment score of 0.86. No tracked brand in the category recorded a negative mention this month, but Earth Animal's ratio of positive to neutral framing is cleaner than Freshpet (0.82) and Jiminy's (0.67).
The second win is Google AI Overviews. Earth Animal recorded a 4.2% valid recommendation coverage rate on that surface, its highest of any platform, along with a 1.4% top-three rate and a 0.7% rank-one rate. That is the only platform in the September dataset where Earth Animal earned rank-one credit. The brand's average recommended rank on Google AI Overviews was 2.33, a strong placement position relative to its overall average of 2.33 across all surfaces.
The third win is directional movement. Earth Animal's valid recommendation coverage rose 0.4 points from 2.0% in August 2026 to 2.4% in September 2026, and its valid recommendation count rose from 8 to 10 qualified observations. The benchmark classified that movement as within normal month-to-month variation, so it should not be read as a trend, but it is a positive direction rather than a decline.
Beyond those three signals, the win set is thin. Earth Animal does not hold a leading position in any cluster, does not appear in the top three on any platform at meaningful scale, and does not register on Google AI Mode at all. The report states that plainly rather than overstating the brand's position.
Where Earth Animal Has the Clearest AI Visibility Gaps
Questions This Section Answers
- Where is Earth Animal losing shortlist placement despite being mentioned in AI answers?
- Why does Google AI Mode represent the largest structural gap for Earth Animal?
- Which competitors are converting presence into top-three placements at a higher rate than Earth Animal?
The clearest gap is recommendation conversion. Earth Animal appears in 3.3% of qualified observations but converts only 2.4% into valid recommendations. That means roughly one in four of its appearances is a reference or context mention rather than a shortlist placement. The benchmark's own definition separates these: a mention is any appearance, while a valid recommendation requires the brand to appear in a genuine recommendation or shortlist. Earth Animal's presence-to-recommendation ratio shows the brand is being talked about more than it is being chosen.
The second gap is top-three placement. Earth Animal's top-three rate is 0.5%, which means it appears in the first three recommended positions in roughly two of 421 qualified observations. Its rank-one rate is 0.2%, or one observation. By comparison, V-Dog holds an 8.3% top-three rate and a 4.3% rank-one rate on a similar presence footprint, and Wild Earth holds an 8.3% top-three rate. Those brands are converting presence into placement at a much higher rate than Earth Animal.
The third gap is Google AI Mode. That surface produced 103 qualified observations in September 2026, the largest single platform pool in the benchmark, and Earth Animal recorded zero mentions there. Open Farm recorded a 69.9% valid recommendation coverage rate on Google AI Mode, Freshpet recorded 29.1%, and even PawCo Foods recorded 2.9%. Earth Animal's absence from that surface is the single largest structural gap in its September footprint.
The fourth gap is ChatGPT. Earth Animal recorded a 5.3% valid recommendation coverage rate on ChatGPT, but that coverage came entirely from visibility assist credit rather than recommendation credit. The brand's monthly AI recommendation value on ChatGPT was zero despite two valid recommendation count entries, because neither placement was rank-eligible. In plain terms, Earth Animal appears in ChatGPT answers about the category but is not being placed in a ranked recommendation position there.
The fifth gap is cluster concentration. All of Earth Animal's September activity sits in C01, the brand recommendation cluster. The benchmark recorded zero qualified observations in C02 (brand comparisons) and C03 (pricing and value) across all ten tracked brands, so no brand has a read there. That is a benchmark-level limitation rather than an Earth Animal-specific weakness, but it means the current public series cannot show whether Earth Animal would win or lose in comparison or pricing contexts.
Biggest Opportunity
Questions This Section Answers
- How can Earth Animal convert its positive sentiment into shortlist placements in AI recommendations?
- What prompts and content attributes should Earth Animal prioritize to move from mention to recommendation?
The single biggest opportunity is converting Earth Animal's existing positive framing into shortlist placement in the brand recommendation cluster. The brand already holds a 0.86 net sentiment score with zero negative mentions, which means the framing layer is not the problem. The problem is that AI systems are retrieving Earth Animal as context without placing it in the top three or at rank one.
The path from reference to recommendation runs through the prompt, page, and citation layers. Earth Animal needs owned answer content that directly addresses the high-intent prompts in C01, such as "best sustainable dog food," "best alternative protein pet food," and "healthiest dog food for a dog," with the specific attributes AI systems associate with recommendation-worthy brands. It also needs its public evidence layer, including third-party reviews, ingredient sourcing documentation, and sustainability credentials, to be retrievable in the form AI systems synthesize from. The benchmark cannot establish why the placement pattern exists, but the pattern itself points clearly at the recommendation conversion step rather than the awareness step.
Competitive Landscape
Questions This Section Answers
- Where does Earth Animal rank against Open Farm, Freshpet, and other tracked brands in top-three and rank-one rates?
- How does Earth Animal's average recommended rank compare with V-Dog and other competitors?
Open Farm holds dominant recommendation-stage strength in this category, and Freshpet is the strongest challenger. Earth Animal sits in the lower mid-tier, with recommendation coverage well below the two leaders and below the V-Dog and Wild Earth tier, but ahead of Jiminy's, Yora, and Noochies!.
Brand | Top-3 rate | Rank-1 rate | Avg recommended rank | Sentiment |
|---|---|---|---|---|
Open Farm | 24.94% | 8.55% | 3.31 | 0.9096 |
Freshpet | 10.21% | 3.80% | 3.29 | 0.8151 |
V-Dog | 8.31% | 4.28% | 1.93 | 0.9831 |
Wild Earth | 8.31% | 1.43% | 2.28 | 0.9333 |
Petaluma | 2.85% | 0.71% | 3.11 | 0.8846 |
PawCo Foods | 1.66% | 0.71% | 3.63 | 1.0000 |
Earth Animal | 0.48% | 0.24% | 2.33 | 0.8571 |
Jiminy's | 0.48% | 0.24% | 2.00 | 0.6667 |
Yora | 0.24% | 0.00% | 2.00 | 1.0000 |
Noochies! | 0.00% | 0.00% | N/A | 0.0000 |
Average recommended rank covers rank-eligible recommendations only.
Earth Animal's position in the table shows a brand with strong framing quality and a favorable average recommended rank when it does receive rank credit, but very low top-three and rank-one rates. The 2.33 average recommended rank is the second-best in the tracked set after V-Dog's 1.93, which means that when Earth Animal is placed, it tends to be placed well. The constraint is placement frequency, not placement quality.
Prompt Evidence
Google AI Overviews / Best Sustainable and Alternative Protein Pet Food Prompt: "What is the healthiest dog food for a dog?" Result: Earth Animal recorded a rank-one placement on Google AI Overviews in this cluster, contributing to its 0.7% rank-one rate on that surface.
ChatGPT / Best Sustainable and Alternative Protein Pet Food Prompt: "best dog food brands" Result: Earth Animal appeared in the ChatGPT response but did not receive a rank-eligible recommendation placement, contributing to its zero monthly AI recommendation value on that platform.
Google AI Mode / Best Sustainable and Alternative Protein Pet Food Prompt: "best dog food" Result: Earth Animal did not appear in the Google AI Mode response, consistent with the brand's zero mentions across all 103 qualified Google AI Mode observations in September 2026.
Perplexity / Best Sustainable and Alternative Protein Pet Food Prompt: "best dog foods for sensitive stomach" Result: Earth Animal recorded no presence on Perplexity in September 2026, where the platform's 42 qualified observations produced recommendations for Open Farm, Freshpet, V-Dog, Wild Earth, and PawCo Foods.
What CiteWorks Studio Would Do Next
Phase 1: AI Market Discovery Audit Map every high-intent prompt in the brand recommendation cluster where Earth Animal appears, where it is displaced, and which competitor takes the recommendation when it is absent.
Phase 2: Recommendation Readiness Plan Prioritize the prompts and platforms where Earth Animal already has positive framing but no shortlist placement, starting with Google AI Mode and ChatGPT.
Phase 3: Owned Answer Layer Buildout Build owned content that directly answers the category's highest-intent prompts with the specific attributes AI systems associate with recommendation-worthy sustainable pet food brands.
Phase 4: Citation / Authority Layer Development Strengthen the third-party evidence layer, including reviews, ingredient sourcing documentation, and sustainability credentials, so AI systems can retrieve and synthesize Earth Animal's attributes in recommendation contexts.
Phase 5: Monthly AI Visibility and Recommendation Tracking Track Earth Animal's presence, valid recommendation coverage, top-three rate, rank-one rate, and sentiment month over month against the same ten-brand benchmark set.
Why This Matters
Questions This Section Answers
- What does the shift toward recommendation-shaped AI responses mean for Earth Animal's shortlist visibility?
AI systems are now forming the buyer shortlist before a shopper ever reaches a brand's website. In this category, 52.7% of September responses took a recommendation-shaped form, up 4.3 points from August, which means AI systems are increasingly producing shortlist-style output rather than general information. A brand that appears in those answers as context but not as a recommendation is visible without being chosen.
Earth Animal's September data shows exactly that pattern. The brand holds clean framing, a favorable average recommended rank when it is placed, and a small but positive coverage movement. What it does not hold is shortlist placement at scale, particularly on Google AI Mode, where the category's largest recommendation pool sits. The next move is targeted correction of the prompt, page, and citation layers that determine whether AI systems place Earth Animal in the top three or leave it as background context.
Core Metrics
Metric | Value |
|---|---|
Mentions | 14 |
Valid recommendations | 10 |
Top 3 recommendation count | 2 |
Rank #1 recommendation count | 1 |
Average recommended rank | 2.33 |
Positive mentions | 12 |
Neutral mentions | 2 |
Negative mentions | 0 |
Raw mention presence rate | 3.33% |
Valid recommendation coverage | 2.38% |
Top 3 recommendation rate | 0.48% |
Rank #1 recommendation rate | 0.24% |
Net sentiment score | 0.8571 |
Strongest cluster by recommendation behavior | C01, Best Sustainable and Alternative Protein Pet Food |
Strongest platform by recommendation behavior | Google AI Overviews |
Sentiment Score
Sentiment Score = (positive mentions × 1 + neutral mentions × 0 + negative mentions × -1) / total mentions
Earth Animal's September 2026 sentiment score is 0.8571, calculated from 12 positive mentions, 2 neutral mentions, and 0 negative mentions across 14 total mentions.
This matters because unclassified mention counts are misleading. A brand that appears 14 times with 12 positive and 2 neutral mentions is in a different position than a brand that appears 14 times with 7 positive and 7 cautionary mentions, even though both would show the same raw mention count. 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 in commercial terms, and counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because it separates brands that are being recommended from brands that are merely being named.
Sentiment by Platform
Platform | Mentions | Positive | Neutral | Negative | Sentiment Score | Readout |
|---|---|---|---|---|---|---|
Google AI Overviews | 8 | 8 | 0 | 0 | 1.0000 | Strongest public recommendation signal |
ChatGPT | 3 | 2 | 1 | 0 | 0.6667 | Present as context, not recommendation |
Copilot | 2 | 2 | 0 | 0 | 1.0000 | Positive, but sample too small |
Gemini | 1 | 0 | 1 | 0 | 0.0000 | Present as context, not recommendation |
Perplexity | 0 | 0 | 0 | 0 | N/A | No public presence in this packet |
Google AI Mode | 0 | 0 | 0 | 0 | N/A | No public presence in this packet |
Methodology
- This report is a benchmark-based analysis of Earth Animal's AI recommendation footprint in the sustainable pet food and alternative protein category for September 2026. It is not a client implementation case study.
- The reporting window is September 2026, with August 2026 used as the comparison month.
- Six AI and search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode. All six registered qualified observations in both months.
- The September 2026 benchmark began with 800 prompt-surface observations and produced 421 qualified observations after qualification. The August 2026 benchmark produced 409 qualified observations.
- The competitor universe is ten tracked brands: Open Farm, Freshpet, V-Dog, Wild Earth, Petaluma, PawCo Foods, Earth Animal, Jiminy's, Yora, and Noochies!.
- Three public high-intent clusters were defined: C01 Best Sustainable and Alternative Protein Pet Food (consideration stage), C02 Sustainable Pet Food Brand Comparisons (evaluation stage), and C03 Sustainable and Alternative Protein Pet Food Pricing and Value (decision stage). In September 2026, all 421 qualified observations fell into C01. C02 and C03 recorded zero qualified observations.
- Stage 0 extraction produced the prompt-level observations that retain the query, AI or search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources.
- A mention is any appearance of a tracked brand in a qualified observation, regardless of context or placement.
- A valid recommendation is an appearance where the brand is placed 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.
- Brand-level percentages use the 421 qualified observations as the public denominator, not the raw collection of 800 prompts. Small observation counts at the individual brand level mean percentage movement should be interpreted with caution.
- The benchmark does not measure market share, sales attribution, organic search ranking performance, social media mention volume, private or sponsored channels, or causality from a metric movement alone.
- Source presence in an AI response is evidence about the information environment. It is not automatically proof that the source caused the recommendation.
See Where AI Is Recommending Your Brand
The public benchmark shows where Earth Animal stands in the category. A company-level AI visibility audit maps the specific prompts where the brand wins, the prompts where it is displaced, which competitor takes the recommendation when it is absent, and which external sources are shaping those answers. The audit turns the benchmark signal into a prioritized visibility strategy built around the prompt, page, and citation layers that determine shortlist placement.
/ 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.


