Maev AI Visibility Market Strategy Report - Fresh Dog Food and Pet Meal Delivery

Answer Capsule

Maev holds almost no recommendation-stage visibility in the fresh dog food and pet meal delivery category. In October 2026, the LLM Authority Index recorded Maev in 7 of 510 qualified observations, a raw mention presence rate of 1.37%, and only 5 valid recommendations, a valid recommendation coverage of 0.98%. The brand's clearest weakness is that it is effectively absent from the answers where buyers form shortlists, and its clearest opportunity is to convert its small but entirely positive framing into a genuine recommendation pocket. Maev recorded no negative mentions in the period, which gives it a clean base to build from, but the gap to the category leaders is very wide.

Who This Report Is For

This report is for Maev's marketing, growth, and category leadership team, and for anyone evaluating how a small challenger brand in fresh dog food delivery appears inside AI-generated recommendations.

Report Card

Executive Summary

Questions This Section Answers

• How visible is Maev in AI-generated recommendations for fresh dog food?
• Which platforms and competitors define Maev's clearest gaps?

Maev is visible but under-recommended in the fresh dog food and pet meal delivery category. The October 2026 LLM Authority Index benchmark recorded Maev in 7 of 510 qualified observations, a raw mention presence rate of 1.37%, and credited the brand with 5 valid recommendations, a valid recommendation coverage of 0.98%. That places Maev last among the eight tracked brands on both presence and recommendation coverage.

The framing around those mentions is entirely positive. Maev recorded 5 positive mentions, 2 neutral mentions, and no negative mentions, producing a net sentiment score of 0.71. That is the lowest net sentiment score in the tracked set, not because the brand is framed badly, but because the neutral share of its very small mention base pulls the score down. The evidence suggests the brand is being referenced in a factual or contextual way rather than being actively recommended.

Maev's strongest cluster is the only cluster with sufficient data, Best Fresh Dog Food and Delivery Services, where all 510 qualified observations sit. The other two clusters, Fresh Dog Food Brand Comparisons and Fresh Dog Food Delivery Pricing and Cost, returned no qualified observations in the public benchmark, so no cluster-level comparison or pricing-stage readout is available for Maev or any other brand.

The strongest platform signal for Maev is Google AI Overviews, where the brand recorded 2 mentions and 1 valid recommendation, producing a valid recommendation coverage of 0.72% on that surface. Gemini and AI Mode each produced 1 valid recommendation. ChatGPT, Copilot, and Perplexity returned no valid recommendations for Maev in the period.

The clearest platform gap is ChatGPT. Maev recorded zero mentions and zero valid recommendations on ChatGPT across 60 platform observations, while the category leader The Farmer's Dog recorded 45 valid recommendations on the same surface. Copilot and Perplexity also returned no valid recommendations for Maev.

The clearest competitive gap is scale. The Farmer's Dog recorded 402 valid recommendations and a valid recommendation coverage of 78.82%, while JustFoodForDogs recorded 393 valid recommendations at 77.06%. Maev's 5 valid recommendations sit on a base where a change of a few observations moves the percentage by several points, so the reading should be treated as a directional signal rather than a settled position.

What Maev Is Winning

Questions This Section Answers

• What positive signals does Maev have despite low recommendation coverage?
• Where did Maev convert its mentions into recommendations most efficiently?

Maev's wins in this benchmark are narrow but real. The brand recorded no negative mentions in October 2026, which means nothing in the qualified observation set framed Maev unfavorably. That is a clean starting position.

The brand's net sentiment score of 0.71 is positive, and its positive visibility rate of 0.98% reflects the fact that nearly all of its mentions carried positive framing. On Google AI Overviews, Maev recorded 1 valid recommendation from 2 mentions, which is the highest conversion of mentions to recommendations among the platforms where it appeared.

Maev also recorded 2 top-three placements in the period, a top-three rate of 0.39%, and an average recommended rank of 3.40 when it received rank credit. On a base this small, those placements are worth noting but should not be read as a durable position.

The honest summary is that Maev has very few wins in this benchmark. The brand is present in a small number of answers, framed positively, and occasionally placed in the top three. That is the extent of the evidence.

Where Maev Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Where is Maev losing recommendation share to competitors?
• Which AI platforms and prompt clusters show the largest gaps in Maev's visibility?

Maev's clearest gap is recommendation conversion at scale. The brand appeared in 7 of 510 qualified observations and received valid recommendation credit in 5 of them. The category leader, The Farmer's Dog, appeared in 465 observations and received 402 valid recommendations. JustFoodForDogs appeared in 424 observations and received 393 valid recommendations. The gap is not a matter of framing or placement quality; it is a matter of how often Maev enters the answer at all.

The second gap is platform coverage. Maev recorded zero mentions on ChatGPT across 60 platform observations, zero valid recommendations on Copilot across 47 observations, and zero valid recommendations on Perplexity across 59 observations. ChatGPT is the surface where the category leader recorded 45 valid recommendations and where JustFoodForDogs recorded 48. Maev's absence there is the single largest platform-level gap in its profile.

The third gap is competitive displacement. In the prompts where Maev does not appear, competitors are taking the recommendation. Freshpet, the strongest cumulative riser in the category, recorded 246 valid recommendations and a valid recommendation coverage of 48.24%, up 7.4 points from the July 2026 baseline. Nom Nom, despite a 14.2-point decline against the baseline, still recorded 147 valid recommendations. Maev's 5 valid recommendations sit far below both.

The fourth gap is cluster coverage. The public benchmark returned no qualified observations in the Fresh Dog Food Brand Comparisons cluster or the Fresh Dog Food Delivery Pricing and Cost cluster. That means Maev's visibility in head-to-head comparison prompts and pricing prompts is not measured in this dataset. The absence of data is not evidence of absence, but it does mean the brand cannot be assessed on those high-intent prompt types from this benchmark alone.

Biggest Opportunity

Questions This Section Answers

• How can Maev convert its positive framing into more AI recommendations?
• Which source layer matters most for moving from reference to recommendation?

Maev's biggest opportunity is to convert its clean framing into recommendation coverage in the Best Fresh Dog Food and Delivery Services cluster, the only cluster with sufficient data. The brand already has a positive sentiment profile and no negative framing to correct. What it lacks is presence in the answers where buyers ask which fresh dog food brand is best.

The prompt evidence in the benchmark shows the category is being decided on questions like "best fresh dog food," "What are the top 3 dog foods recommended by vets?," and "What is the best fresh dog food to get?" Maev is not appearing in enough of those answers to compete. The path from reference to recommendation runs through the source layer that AI systems retrieve from, and the benchmark's citation data shows that layer is concentrated in a small number of domains.

The top 10 cited domains in the category accounted for roughly 40% of all citations from less than 1% of unique domains. Review and editorial sources dominate that list, including dogfoodadvisor.com, petful.com, forbes.com, businessinsider.com, reddit.com, and youtube.com. Maev's own domain does not appear in the top 10. Building presence in the review and editorial sources that AI systems cite is the clearest route from occasional mention to consistent recommendation.

Competitive Landscape

Questions This Section Answers

• How does Maev's recommendation visibility compare to The Farmer's Dog, JustFoodForDogs, and Freshpet?
• Why does Maev rank last despite a reasonable average recommended rank?

The Farmer's Dog and JustFoodForDogs hold recommendation-stage strength in the fresh dog food and pet meal delivery category, with Freshpet as the strongest cumulative riser. Maev sits at the bottom of the tracked set on both presence and recommendation coverage.

Average recommended rank covers rank-eligible recommendations only.

Maev's position at the bottom of the table reflects the scale of its presence rather than the quality of its placement. Its average recommended rank of 3.40 is better than Nom Nom, PetPlate, A Pup Above, and Sundays for Dogs, which means that when Maev does receive rank credit, it is placed reasonably well. The problem is that it receives rank credit in only 5 of 510 qualified observations.

Prompt Evidence

Questions This Section Answers

• What do the actual prompt responses show about where Maev appears or is absent?
• Which platforms and queries produced Maev's few recommendations?

ChatGPT / Best Fresh Dog Food and Delivery Services Prompt: "best fresh dog food" Result: Maev did not appear in the ChatGPT response, while The Farmer's Dog and JustFoodForDogs were both recommended.

Gemini / Best Fresh Dog Food and Delivery Services Prompt: "What are the top 3 dog foods recommended by vets?" Result: Maev received 1 valid recommendation on Gemini, its only recommendation on that platform, with an average recommended rank of 4.

Google AI Overviews / Best Fresh Dog Food and Delivery Services Prompt: "What is the best fresh dog food to get?" Result: Maev appeared in 2 AI Overviews responses and received 1 valid recommendation, the highest mention-to-recommendation conversion among its platforms.

Perplexity / Best Fresh Dog Food and Delivery Services Prompt: "fresh dog food delivery" Result: Maev did not receive a valid recommendation on Perplexity, where The Farmer's Dog recorded 47 valid recommendations and JustFoodForDogs recorded 42.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit. Map exactly which prompts, surfaces, and competitor sets produce Maev mentions versus recommendations, and identify the specific answers where the brand is absent.

Phase 2: Recommendation Readiness Plan. Prioritize the prompt types and clusters where Maev has the clearest path from occasional mention to consistent recommendation, starting with the Best Fresh Dog Food and Delivery Services cluster.

Phase 3: Owned Answer Layer Buildout. Strengthen the pages and content that answer the high-intent questions in the category, so AI systems have a clear, retrievable source for Maev's positioning.

Phase 4: Citation / Authority Layer Development. Build presence in the review and editorial sources that AI systems cite most often, including the specialist pet-food review sites and general-interest sources that dominate the category's citation profile.

Phase 5: Monthly AI Visibility and Recommendation Tracking. Track Maev's presence, recommendation coverage, placement, and sentiment month over month to confirm whether the brand is moving from reference to recommendation.

Why This Matters

AI presence alone is not enough. Maev is present in a small number of answers and framed positively, but it is not being recommended at the rate the category leaders are. Buyers asking which fresh dog food brand is best are receiving answers that name The Farmer's Dog, JustFoodForDogs, and Freshpet, not Maev.

The next move is targeted correction of the prompt, page, and citation layers. Maev does not need to fix negative framing; it needs to build the source footprint that makes the brand retrievable and recommendable in the answers where the category is being decided.

Core Metrics

Sentiment Score

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

For Maev in October 2026: (5 x 1 + 2 x 0 + 0 x -1) / 7 = 0.7143.

This matters because unclassified mention counts are misleading. A brand with 7 mentions and no negative framing looks identical to a brand with 7 mentions and 3 cautionary references if sentiment is not classified. Maev's score of 0.71 reflects a small mention base where 2 of the 7 mentions were neutral rather than positive.

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. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, and Maev's classified sentiment shows a brand that is framed positively but referenced too rarely to compete.

Sentiment by Platform

Methodology

1. This report is a benchmark-based analysis of Maev's AI recommendation visibility in the Fresh Dog Food and Pet Meal Delivery category, produced from the October 2026 LLM Authority Index AI Market Discovery measurement.
2. The reporting month is October 2026. The baseline month for comparison is July 2026.
3. Six AI/search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. All six were represented in the qualified observation set.
4. The October 2026 benchmark produced 510 qualified observations from 800 prompt-surface starts and 493 unique questions.
5. Eight brands were tracked: A Pup Above, Freshpet, JustFoodForDogs, Maev, Nom Nom, PetPlate, Sundays for Dogs, and The Farmer's Dog.
6. Three public clusters were defined: Best Fresh Dog Food and Delivery Services (consideration stage, sufficient data), Fresh Dog Food Brand Comparisons (evaluation stage, no data), and Fresh Dog Food Delivery Pricing and Cost (decision stage, no data).
7. Stage 0 extraction retained the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources for each prompt-level observation.
8. A mention is counted when a tracked brand appears in a qualified observation in any capacity, whether recommended or referenced.
9. A valid recommendation is counted when a tracked brand receives explicit recommendation credit with a rank position of 1 to 10. Neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations.
10. All brand-level percentages use the 510 qualified observations as the denominator, not the 800 raw prompt-surface starts. The two denominators should not be interchanged.
11. Maev's metrics sit on a very small absolute base. Five valid recommendations and 7 mentions mean that a change of a few observations moves the percentage by several points. These readings should be treated as directional signals rather than settled positions.
12. The public benchmark does not measure market share, revenue attribution, attributable sales or conversions, organic-search ranking outside the six tracked surface families, social media mention volume, or causality from a metric movement alone.

See How AI Is Recommending Your Brand

The public benchmark shows where Maev stands in AI-generated recommendations across the fresh dog food and pet meal delivery category. A company-level AI visibility audit maps the prompt, surface, competitor, ranking, sentiment, and evidence-source patterns behind those numbers into a prioritized strategy, and identifies the specific answers where Maev can move from occasional mention to consistent recommendation.