AI Visibility Index for the Fresh Dog Food Market Universe

Which Fresh Dog Food Brands AI Answer Engines Recommend and Cite

Brandi AI’s AI Visibility Index for the Fresh Dog Food Market Universe analyzes how seven leading AI answer engines respond when U.S. dog owners research, compare, and choose fresh dog food. Based on 17,796 AI-generated answers collected daily from January 1–31, 2026, the report identifies which brands AI introduces without prompting, emphasizes in competitive comparisons, frames most positively, and supports with citations. For fresh dog food brands and marketers, the findings show how third-party authority, source quality, and buyer-relevant evidence shape visibility in AI-generated answers.

When dog owners ask AI which fresh dog food to trust, the answers do not reflect every available brand equally. AI answer engines repeatedly introduce a relatively small group of brands, use them to explain category tradeoffs, and rely on a recurring set of media, institutional, review, and brand-owned sources as evidence.

Summary

When U.S. dog owners turn to AI for fresh dog food guidance, AI answer engines do not treat every brand equally. The systems repeatedly rely on a relatively narrow set of brands and authority signals to decide which options to include, compare, and recommend.

Brandi AI’s AI Visibility Index for the Fresh Dog Food Market Universe looks at how seven leading AI answer engines—ChatGPT, Google AI Mode, Google AI Overviews, Google Gemini, Grok, Microsoft Copilot, and Perplexity—respond to real buyer-stage questions about fresh dog food. Drawing on more than 17,500 AI-generated answers collected daily over one month (Jan. 1–31, 2026), the analysis tracks which brands show up, which get top billing, how sentiment is framed, and which sources AI keeps coming back to like a favorite chew toy.

The findings show that positive framing alone does not guarantee visibility. Brands that appear most consistently in AI-generated explanations are reinforced across independent, high-trust sources that AI can use as evidence. Over time, those brands can become category reference points that AI uses to explain tradeoffs, compare options, and guide decisions—even when buyers do not explicitly name them.

This report shows who’s currently leading the pack in the AI conversation around fresh dog food, who’s gaining ground, and who’s at risk of being left chasing the narrative. It also makes one thing clear: AI visibility isn’t a lucky fetch. It’s the result of consistent, observable authority—signals strong enough for AI to recognize, remember, and reuse.

How AI Answer Engines Determine Brand Visibility

How AI Decides Which Brands to Talk About

When faced with product questions in categories such as fresh dog food, AI answer engines aren’t trying to chase popularity, reward the biggest marketing budget, or surface every available option. Their goal is simpler: to deliver answers that are credible, fully explainable, and can withstand scrutiny.

In practice, this leads to several consistent behaviors:

• AI prioritizes explainability over popularity: Brands are selected based on how well they help AI explain the category, clarify tradeoffs, and structure comparisons—not on brand awareness or market share alone.
• AI favors repeatable authority signals: Brands reinforced across multiple independent, high-trust sources—such as major media outlets, institutional references, and expert-driven reviews—are far more likely to be included consistently.
• AI rewards category anchors: Certain brands become reference points that AI uses repeatedly to frame quality, pricing, nutrition standards, or subscription models. Once a brand occupies this role, it tends to appear across multiple buyer-stage questions.
• AI resists single-source narratives: Even strongly positive sentiment does not translate into durable visibility if it is not corroborated by external evidence AI recognizes as authoritative.
• AI treats omission as a valid outcome: Brands that lack sufficient authority reinforcement are not criticized or downgraded—they are simply excluded from answers altogether.

The following rankings show which brands AI introduces without being asked, which brands receive the greatest emphasis in competitive answers, and which brands AI uses most often to help buyers evaluate fresh dog food options.

Competitive Visibility Rankings

Which Fresh Dog Food Brands Lead AI Visibility Rankings?

These rankings measure observable AI behavior in buyer-stage answers. They show which brands AI introduces on its own, emphasizes in comparisons, and uses as category reference points; they do not measure consumer preference, market share, or product quality.

GEO Awareness

Unprompted Brand Inclusion in AI Buyer Answers

GEO Awareness measures how often AI brings a brand into its answers when the brand isn’t called out in the prompt. These questions span discovery, evaluation, and decision stages. A high GEO Awareness score signals that AI sees the brand as fundamental to the category—and introduces it naturally, without needing a nudge.

Table: GEO Awareness — Brand Inclusion in Unbranded AI Buyer Answers about Fresh Dog Food

Interpretation

Brands with high GEO Awareness are not merely mentioned; AI introduces them as part of its answer to unbranded buyer questions. Repeated inclusion suggests that an AI answer engine treats the brand as useful for explaining fresh dog food options, even when the buyer begins with a broad, open-ended question.

GEO Share of Voice (SOV)

Narrative Control in Competitive AI Answers

GEO Share of Voice measures how much of the overall fresh dog food conversation a brand controls when multiple relevant brands could reasonably appear in the same answer. A high SOV indicates that AI does more than simply mention the brand—it uses it to anchor explanations, frame comparisons, and guide recommendations.

Table: GEO Share of Voice — Narrative Control in Competitive AI Answers about Fresh Dog Food

Ranking	Brand Name	Percentage
1	The Farmer’s Dog	13%
2	JustFoodForDogs	10%
3	Ollie	10%
4	Nom Nom	9.3%
5	PetPlate	7.4%
6	FreshPet	5.7%
7	Spot & Tango	5.2%
8	Purina	2.4%
9	Hill’s Pet Nutrition	2.0%
10	We Feed Raw	0.8%
11	Orijen	0.6%
12	Butternut Box	0.1%

Interpretation

Share of Voice reflects narrative prominence, not simple presence. Brands with high SOV are more likely to be used by AI to explain quality, pricing tiers, nutrition standards, and delivery models. In AI-mediated buyer journeys, those brands can shape category understanding rather than simply compete for attention.

Comparative Sentiment Analysis 

How AI Frames Fresh Dog Food Brands in Generated Answers

Inclusion and narrative control decide whether a brand makes it into AI-generated answers; sentiment determines the tone once it’s there. This section looks at how AI frames fresh dog food brands—the language it uses, the qualifiers it applies, and the recommendations it serves up alongside them.

Sentiment scores range from 1 (most negative) to 10 (most positive) and reflect AI’s qualitative framing—not customer reviews, survey data, or social media sentiment.

Table: Sentiment Scores — Qualitative Brand Framing in AI Answers about Fresh Dog Food

Ranking	Brand Name	Score
1	The Farmer’s Dog	8.1
2	JustFoodForDogs	7.9
3	Orijen	7.7
4	Hill’s Pet Nutrition	7.7
5	Nom Nom	7.7
6	PetPlate	7.6
7	Spot & Tango	7.5
8	Ollie	7.5
9	Purina	7.4
10	FreshPet	7.3
11	Butternut Box	7.1
12	We Feed Raw	7.0

Interpretation

The rankings indicate that AI maps brands to particular buyer concerns, including nutritional value, price sensitivity, customer service, and institutional trust. Brands with a clear, well-supported association with one or more of these priorities are more likely to appear when those concerns are central to a buyer’s question.

How AI Differentiates Fresh Dog Food Brands by Buyer Concern

Rather than crowning a single “best” option, AI adjusts its recommendations based on what matters most to the buyer at that moment. The table below shows how AI differentiates brands when specific concerns—quality, price, customer service, and trust—take priority.

Table: Sentiment by Buyer Concern Across Fresh Dog Food Brands

Ranking	Nutritional Value	Quality	Price	Customer Service	Trust
1	The Farmer’s Dog	The Farmer’s Dog	Purina	Hill’s Pet Nutrition	Hill’s Pet Nutrition
2	Hill’s Pet Nutrition	Hill’s Pet Nutrition	FreshPet	JustFoodForDogs	Butternut Box
3	Nom Nom	Nom Nom	Orijen	Ollie	JustFoodForDogs
4	JustFoodForDogs	JustFoodForDogs	Butternut Box	The Farmer’s Dog	Purina
5	PetPlate	We Feed Raw	PetPlate	Butternut Box	The Farmer’s Dog
6	Spot & Tango	Ollie	Ollie	PetPlate	We Feed Raw
7	We Feed Raw	Purina	Hill’s Pet Nutrition	Nom Nom	Ollie
8	Ollie	Orijen	The Farmer’s Dog	We Feed Raw	Nom Nom
9	Orijen	PetPlate	Spot & Tango	Spot & Tango	PetPlate
10	Purina	Spot & Tango	Nom Nom	Purina	Spot & Tango
11	FreshPet	FreshPet	JustFoodForDogs	Orijen	Orijen
12	Butternut Box	Butternut Box	We Feed Raw	FreshPet	FreshPet

Interpretation

The rankings indicate that AI maps brands to particular buyer concerns, including nutritional value, price sensitivity, customer service, and institutional trust. Brands with a clear, well-supported association with one or more of these priorities are more likely to appear when those concerns are central to a buyer’s question.

Source Authority in AI-Generated Answers

Sources Most Frequently Cited by AI in Fresh Dog Food Answers

When AI answer engines explain, compare, or recommend fresh dog food brands, they don’t rely on brand claims alone. Instead, they back up their responses with external sources they treat as evidence. This section looks at which domains AI cites most often—and what those citations reveal about how authority is earned inside AI-generated answers.

It’s worth noting that frequent citation isn’t the same as endorsement. It reflects perceived usefulness and credibility as supporting material when AI constructs an explanation.

Table: Brand Domains — Most Cited in AI Answers About Fresh Dog Food

Ranking	Brand Domain
1	Freshpet
2	Spot & Tango
3	The Farmer’s Dog
4	JustFoodForDogs
5	Ollie
6	PetPlate
7	The Honest Kitchen
8	Nom Nom
9	Wag Tantrum
10	We Feed Raw

Interpretation

Brand-owned content can earn citations when it is clearly structured, provides useful category information, and aligns with evidence from third-party sources or widely recognized nutrition and safety standards. In this analysis, however, brand domains generally appear alongside external validation rather than serving as the sole evidence base for AI-generated answers.

Media Sources

Table: Media Domains — Most Cited in AI Answers About Fresh Dog Food

Ranking	Media Domain
1	Forbes
2	Business Insider
3	NBC News
4	Petfood Industry
5	The Spruce Pets

Interpretation

Media outlets often provide comparative, buyer-focused framing that AI can reuse across multiple questions. Well-structured articles that explain product differences, tradeoffs, and use cases can become recurring evidence sources in AI-generated answers long after publication.

Product Review Sources

Table: Product Reviews — Most Frequently Cited in AI Answers About Fresh Dog Food

Ranking	Product Review
1	The Best Fresh Dog Food Brands in 2026, Tested with our DogsBusiness Insider
2	The Pros and Cons of Fresh Dog Food PetMD by Chewy
3	9 Best Dog Foods for Dogs With Allergies in 2026, Vet RecommendedPetMD by Chewy
4	10 Best Dog Food Delivery Services Of 2025 Forbes
5	Best Fresh Dog Food 2026: 6 Vet-Recommended Brands Forbes

Interpretation

A small number of high-trust comparison articles account for a disproportionate share of AI citations in this market. Their influence demonstrates how a detailed, credible product comparison can shape AI recommendations across multiple platforms and buyer intents.

Institutional and Scientific Sources

Table: Institutional & Scientific Domains — Most Cited in AI Answers About Fresh Dog Food

Ranking	Institutional/Scientific Domain
1	American Kennel Club
2	National Institutes of Health
3	Auburn University
4	Tufts University
5	American Animal Hospital Association

Interpretation

Institutional references help ground AI-generated answers in veterinary guidance, academic research, and professional standards. When AI discusses brand benefits or tradeoffs, these sources can provide the independent context needed to support more credible explanations.

User-Generated Content and Social Media Sources

Table: User-Generated Content and Social Media Domains — Most Cited in AI Answers About Fresh Dog Food

Ranking	Platform
1	Reddit
2	YouTube
3	Facebook
4	Quora
5	Instagram

Interpretation

User-generated content and social platforms provide contextual signals about real-world experiences, practical concerns, and perceived tradeoffs. These sources are distinct from institutional or editorial evidence, but they can help AI reflect the everyday questions and friction points that dog owners raise.

Buyer Demand Signals

Buyer Concerns That Shape AI Answers About Fresh Dog Food

Buyers don’t approach AI with abstract curiosity. They come with specific concerns, constraints, and unresolved tradeoffs. These recurring questions help explain why certain brands and sources consistently surface in AI-generated answers—while others do not.

The pain points below represent common decision-making moments in which dog owners seek reassurance, clarity, or risk reduction. In those moments, AI tends to prioritize evidence that directly addresses the concern over broad promotional claims.

Table: Top Buyer Pain Points Surfacing in AI Answers about Fresh Dog Food

Ranking	Pain Point	Explanation
1	The Trust Gap	Skepticism is driven by vague sourcing, unclear certifications, and ethical claims that are difficult for dog owners to verify.
2	The Allergy Anxiety Loop	Fear-driven trial-and-error cycles experienced by owners managing food sensitivities, intolerances, or medically required diets.
3	The Premium Price Cliff	Sticker shock from high list prices, rigid subscription models, and a perceived collapse in value once introductory pricing ends.
4	The Chaos of Frozen Food Delivery	Delivery delays, thawed shipments, freezer overcrowding, and logistics issues that undermine the promise of convenience.
5	The Daily Friction Tax	Ongoing prep time, thawing schedules, portioning complexity, and routine disruptions that accumulate into long-term fatigue.

Interpretation

Brands that surface repeatedly in AI answers are those that help resolve buyer concerns with verifiable signals—clear ingredient sourcing, veterinary validation, transparent pricing explanations, or reliable logistics narratives. Brands that don’t address these tensions directly may still receive positive sentiment when mentioned, but often struggle to maintain consistent inclusion in AI-generated answers.

Market Interpretation

January 2026 Performance Highlights

Top Dog: The Farmer’s Dog 

The Farmer’s Dog has firmly taken the lead across the metrics that most directly shape AI-generated explanations. The brand shows up most unprompted, claims the biggest share of narrative territory when competitors enter the yard, and maintains strong positive sentiment across buyer-stage contexts—all without having to jump through hoops.

Across the reporting period, AI answer engines treated The Farmer’s Dog as a leading category reference point. The brand appeared when AI explained what fresh dog food is, compared fresh food with kibble, and discussed the tradeoffs buyers may consider before selecting an option. Its performance reflects a durable authority profile reinforced through recurring citations and third-party validation.

Largest Citation Increase: Hill’s Pet Nutrition

Hill’s Pet Nutrition posted the biggest jump in AI citations during the reporting period, growing by more than 300 percent. That surge is driven by strong alignment with institutional trust signals—especially veterinary guidance and academic research—which gives the brand a solid foundation for AI-generated answers.

AI increasingly referenced Hill’s Pet Nutrition in health-focused answers involving allergies, digestive sensitivity, and trust-based decisions. Although the brand had lower overall visibility than direct-to-consumer leaders, its institutional authority profile made it a recurring reference point when buyers’ questions required health and veterinary context.

Spot & Tango: Strong Citation Performance Relative to Market Share

Despite less than 5% estimated U.S. market share, Spot & Tango achieved 15% GEO Awareness (No. 7), 5.2% GEO Share of Voice (No. 7), and 17% domain citations (No. 2). The results suggest that clear, consistent, and well-supported information can help a smaller brand earn meaningful visibility in AI-generated answers.

Most Influential Product Review Source: Business Insider

Business Insider emerged as the single most influential editorial source shaping AI answers in the fresh dog food category. Its comparison article, “The Best Fresh Dog Food Brands in 2026, Tested with Our Dogs”, received the most AI citations across the analyzed platforms.

Key Takeaways

• AI-generated answers repeatedly favor a limited group of fresh dog food brands. Brands without authority signals that AI recognizes may be excluded from answers altogether, even when they are not framed negatively.
• Positive sentiment does not guarantee inclusion. Brands must first earn visibility through credible, repeatable evidence before favorable qualitative framing can influence buyer understanding.
• High AI visibility reflects category relevance and narrative prominence. Leading brands are used to explain the category, frame comparisons, and address common buyer tradeoffs.
• Third-party validation is central to citation readiness. Media coverage, expert reviews, institutional guidance, and other independent evidence can reinforce the claims and context AI uses in its answers.
• Omission can be a significant competitive risk. When a brand is absent from AI-generated answers, buyers may not encounter or compare it during early research and evaluation.

Conclusion

Why AI Visibility Requires Ongoing Measurement and Improvement

AI visibility measures whether a brand has earned enough credible, recurring evidence to be included and explained in AI-generated answers over time. That visibility is reinforced across independent sources, multiple AI answer engines, and buyer-stage questions.

Shaping AI visibility takes more than posting content or scoring the occasional media mention. It requires coordination between what a brand says, what others say about it, and how long those signals stick around. AI answer engines respond to patterns of evidence, not isolated tactics.

To maintain and improve AI visibility, brands need to show:

• Consistency across sources, with owned content, media coverage, reviews, and institutional references supporting the same core story
• Reinforcement across platforms, with visibility that extends across ChatGPT, Google AI Overviews, Perplexity, and other relevant answer engines
• Alignment with buyer-stage questions, with evidence that remains useful from initial research through final decision-making
• Ongoing measurement and intervention, with the ability to identify changes in AI behavior and respond before visibility declines

Treating AI visibility as an operational discipline helps brands identify weak evidence signals, strengthen effective sources and content, and monitor how AI understanding changes over time.

How Brandi AI Measures Brand Visibility in AI Answers

Brandi AI analyzes AI-generated answers to show how brands are included, framed, compared, and cited across AI platforms and buyer moments. Instead of relying only on indirect indicators, the platform measures the answers prospective buyers actually receive.

Rather than just telling you where your brand shows up, Brandi AI shows how and why it appears—or why it’s not getting called at all.

Brandi AI surfaces:

• AI mentions: Whether or not your brand makes it into answers across the major AI engines.
• AI Share of Voice: Whether AI relies on your brand to explain and compare, or just gives it a quick name-check.
• Citation authority: When AI treats your content—or someone else’s—as evidence worth fetching.
• Narrative themes: The traits, concerns, and ideas AI consistently associates with your brand.
• Platform gaps: Where visibility holds across ChatGPT, Google AI Overviews, Perplexity, and where the leash slips.

Together, these signals establish a measurable baseline for how AI includes, trusts, and frames a brand, allowing teams to track progress and identify where intervention is needed.

What Brandi AI Helps Brands Improve

Once teams can see how AI answers describe their brand and category, they can make more informed content, sourcing, and narrative decisions. Brandi AI helps identify the evidence gaps and content opportunities most likely to influence future AI-generated answers.

Brandi AI points out:

• Which existing pages need a good grooming—expanded, clarified, or reshaped—to earn AI citations
• Which buyer-stage questions are missing from the yard and need new content to fill the gaps
• Which content formats AI reliably fetches when building answers
• Where outside “good dog” validation—from media, experts, or institutions—is needed to reinforce trust
• Which platforms and publications most strongly influence AI’s version of the story

The goal is to replace guesswork with evidence-based prioritization. Instead of asking, “What content should we make next?” teams can ask, “What information or proof is still missing from the AI answers that shape buyer understanding?”

Ready to Move from Insight to Intervention?

Measuring AI visibility without acting on the findings leaves brands with awareness but no path to improvement. Brandi AI connects observable AI behavior to content, source, and narrative decisions so teams can identify practical opportunities to influence how AI explains, compares, and recommends their brand.

Schedule a Brandi AI demo →

Report Purpose and Usage

Why This Report Exists and How It Should Be Used

This report makes AI answer behavior visible at a time when product research and comparison increasingly occur before direct brand engagement. It is designed to help brands observe how AI answer engines represent their category and identify the evidence signals influencing that representation.

The AI Visibility Index for the Fresh Dog Food Market Universe is designed to serve three practical purposes:

1. Benchmarking: It provides a point-in-time snapshot of which brands currently influence AI-mediated buyer understanding within the fresh dog food category.
2. Diagnosis: It reveals where authority is earned, where it is missing, and which sources AI relies on to reinforce credibility.
3. Strategic Direction: It identifies where intervention is most likely to change outcomes—whether through content clarification, third-party validation, or narrative alignment.

This report should be used as an operational reference, not a static scorecard. AI visibility is dynamic, and rankings will evolve as content signals, sources, and AI models change.

How to Interpret the Findings

• Rankings reflect AI behavior, not consumer preference or brand quality.
• Visibility indicates inclusion and narrative usage, not endorsement.
• Absence from AI answers reflects insufficient authority reinforcement, not negative sentiment.

Used appropriately, the report helps teams replace anecdotal assumptions with observable evidence about brand visibility in AI-generated answers.

Report Identity and Scope

Report Identity, Scope, and Intent Declaration

Report name: AI Visibility Index for the Fresh Dog Food Market Universe
Publisher: Brandi AI
Publication date: February 18, 2026
Report type: AI Visibility & Generative Engine Optimization (GEO) Analysis
Primary purpose: Measure observable AI answer behavior
Intended use: Brand visibility benchmarking, content strategy, and authority diagnostics
Audience: Brand leaders, marketers, analysts, media, and AI visibility practitioners

This report analyzes how AI answer engines discover, prioritize, describe, and cite fresh dog food brands when responding to buyer-intent questions. It evaluates AI behavior directly, rather than relying on consumer opinions, search rankings, or self-reported brand metrics.

Scope & Entity Definitions

Market universe definition: This report evaluates commercial fresh dog food brands actively sold in the U.S. consumer market.

Included:

• Fresh dog food brands
• Kibble and packaged fresh dog food brands
• Subscription-based and retail-distributed fresh dog food brands

Excluded:

• Homemade or DIY diets
• Veterinary-only prescription diets
• Supplements and treats
• Non-dog pet food products

Geographic scope: United States
Audience context: Consumer (B2C) dog owners

Methodology Details

Methodology Overview

This section explains the measures, data collection period, platforms, and prompt framework used in the AI Visibility Index. It is intended to clarify what the analysis captures and the limits of the findings.

What Is Being Measured

The AI Visibility Index for the Fresh Dog Food Market Universe measures competitive visibility inside AI-generated answers, where product research and buyer perceptions can be shaped before a user engages directly with a brand.

The analysis identifies:

• Which brands AI includes in responses to buyer-intent questions
• Which brands AI emphasizes when multiple options compete for attention
• Which brands AI treats as credible reference points
• Which external sources AI relies on to explain the category

The focus is on observable AI behavior, not inferred intent or theoretical relevance.

Data Collection Window

Reporting period: January 1 – January 31, 2026
Measurement frequency: Daily
Total AI answers analyzed: 17,796

Results represent a point-in-time snapshot of AI behavior during the reporting window. AI visibility is dynamic and may shift as content signals, source authority, and AI models evolve.

AI Answer Engines Included

This analysis evaluates responses generated by the following AI answer engines:

• ChatGPT
• Google AI Mode
• Google AI Overviews
• Google Gemini
• Grok
• Microsoft Copilot
• Perplexity

All platforms were weighted equally. No manual adjustments were made for response length, citation density, or platform-specific bias.

Buyer-Stage Prompt Design

Prompts were structured around three buyer stages:

• Discovery-stage prompts: Broad, exploratory questions where buyers seek orientation or education. Examples: “Best fresh dog food for dogs,” “Is fresh dog food healthier than kibble?”
• Evaluation-stage prompts: Comparative or validation-seeking questions where buyers weigh options. Examples: “Compare fresh dog food brands,” “Is fresh dog food worth the cost?”
• Decision-stage prompts: Action-oriented questions where buyers are close to commitment. Examples: “Should I switch my dog to fresh food?,” “Which fresh dog food is best for allergies?”

This structure captures both whether a brand appears and the stage of the buyer journey in which it appears.

Brand Inclusion Rules

To isolate true AI-driven visibility:

• Brand names were excluded from discovery-stage prompts, ensuring that inclusion reflects AI initiative rather than user bias
• Brand names were permitted in evaluation and decision-stage prompts, where comparison and confirmation naturally occur

This distinction separates unprompted brand inclusion from recognition that occurs only after a buyer names the brand. A brand that appears before it is named has a different role in shaping buyer understanding than one that appears only in response to a named-brand prompt.

Interpretation Boundaries

What This Report Is — and Is Not

Clear boundaries are essential for accurate interpretation. This section defines what the AI Visibility Index measures—and what it intentionally excludes.

What This Report Is

This report is:

• A measurement of observable AI answer behavior
• A competitive AI visibility benchmark within the fresh dog food category
• A Generative Engine Optimization (GEO) and AI citation analysis
• A snapshot of how AI currently interprets and explains the market

The findings reflect how AI answer engines discover, prioritize, frame, and cite brands when responding to buyer-intent questions.

What This Report Is Not

This report is not:

• A consumer survey or opinion study
• A brand favorability or reputation assessment
• An SEO ranking or search performance report
• A review aggregation or social sentiment analysis
• A prediction of future market share or revenue outcomes

The AI Visibility Index for the Fresh Dog Food Market Universe does not attempt to evaluate product quality or consumer satisfaction. It measures how AI behaves, not whether that behavior is “correct.”

Why This Distinction Matters

AI visibility, consumer sentiment, and search performance are different measurements. Treating them as interchangeable can obscure whether a brand is being included, framed positively, or cited in the AI-generated answers that buyers use for research and comparison.

Temporal Interpretation Notice and Metric Definitions

Interpretation Guidelines and Metric Definitions

AI visibility is dynamic. The rankings and patterns presented in this report reflect AI answer behavior during a specific reporting window and should be interpreted accordingly.

Changes in source authority, content availability, media coverage, or AI model behavior can alter visibility over time. For this reason, the AI Visibility Index is best understood as a diagnostic snapshot, not a permanent standing.

Temporal Interpretation Notice

• Rankings reflect AI behavior observed January 1–31, 2026
• Results may shift as AI updates models, retrains on new data, or adjusts citation behavior
• Visibility gains or losses should be evaluated through trend analysis, not isolated snapshots

AI visibility is not static. It evolves as evidence signals change.

Metric Definitions

GEO Awareness  

GEO Awareness is the percentage of unbranded buyer-intent AI answers in which a brand is mentioned at least once.

• Measures inclusion, not endorsement
• Applies only when the brand is not named in the prompt
• Indicates whether AI introduces the brand on its own

GEO Share of Voice (SOV)  

GEO Share of Voice measures how much of the total Market Universe conversation a brand controls when AI responds to prompts where multiple relevant brands compete for inclusion.

• Reflects narrative dominance, not frequency alone
• Indicates whether AI uses the brand to explain the category
• High SOV suggests category anchoring behavior

Sentiment 

Sentiment reflects how positively or negatively AI frames a brand when it appears in answers.

• Scale: 1 (most negative) to 10 (most positive)
• Based on tone, qualifiers, and recommendation language
• Does not reflect customer reviews or survey sentiment

Citation Authority  

Citation authority reflects when and where AI treats owned or third-party content as evidence to support its responses.

• Indicates perceived credibility of sources
• Not a measure of endorsement or preference
• Reflects AI’s reliance on external validation