Category Intelligence
Pet
RevvUp Category Intelligence

The State of AI Visibility in Pet.

How ChatGPT, Claude, Perplexity, and Gemini are reshaping discovery for premium pet food, treats, supplements, and accessories — and which brands are getting recommended, which are getting mentioned, and which are getting routed past.

Abstract
The US pet care category is $152 billion in 2026 — premium DTC pet brands have grown 32% YoY, and roughly 4.2 million buyer questions per month ("best fresh dog food," "is The Farmer's Dog worth it," "what do vets recommend") are now routed through AI engines rather than Google. The pet parent still has the question. Most DTC pet brands are no longer in the answer. This report measures, for 35 named DTC pet brands on Shopify, how often they surface when buyers ask, which ones get recommended, and what that gap is worth.
The category at a glance
4.2M
Monthly buyer queries about pet products routed through AI
64%
Of DTC pet brands audited score below 50 on AI visibility
$4.9B
Estimated category revenue routed to AI-recommended brands
71%
Of pet parents now use AI to research food and supplements
01
The category snapshot

Pet is the most trust-driven DTC category. And AI is reshaping who pet parents trust.

Three things make pet different. One: the buyer isn't the consumer — pet parents make decisions on behalf of an animal that can't tell them if it's working, so they research obsessively. Two: "vet-recommended" is the entire purchase signal. Nobody wants to put unsafe food in their dog's bowl. Three: "fresh DTC" brands and "premium kibble" brands now compete with each other AND with veterinary brands like Hill's and Royal Canin — and AI is the new tiebreaker.

AI Visibility Spectrum · category distribution of 35 audited pet brands
Spot & Tango · 63
Category median · 54
Farmer's Dog · 85
Critical
0–20
Poor
21–40
Fair
41–60
Strong
61–80
Dominant
81–100
02
The visibility leaderboard

Who AI recommends. Who AI ignores.

Twelve named Shopify pet brands, ranked by AI Visibility Score (AVIS) — a 0-100 composite of presence rate, lead-position rate, and citation authority across ChatGPT, Claude, Perplexity, and Gemini. Top of the table is winning AI search. Bottom is losing customers without knowing it. Spot & Tango sits at rank 05 with a score of 63 — above the category median, cited by name on every major AI platform, and still losing the top position on the queries that convert most because the veterinary authority signal is not wired into their digital infrastructure.

Rank
Brand
AVIS
Tier
01
The Farmer's Dog
85
Dominant
02
Ollie
81
Dominant
03
Nom Nom
76
Strong
04
Open Farm
69
Strong
05
Spot & Tango
63
Strong
06
Ruffwear
58
Fair
07
Native Pet
52
Fair
08
PetPlate
46
Fair
09
Zesty Paws
39
Poor
10
Gunner Kennels
35
Poor
11
Fable Pets
31
Poor
12
Frenchie Bulldog
28
Critical

Full leaderboard of all 35 brands and per-platform breakdown available in the pet category data pack. Methodology in footer.

03
Three patterns we keep seeing

The same three failure modes show up in every pet brand below the median.

Across 35 audits, the gap between top and bottom comes down to a small number of recurring structural issues. None of them is a marketing problem. All of them are fixable.

01

The veterinary authority gap

Spot & Tango is cited by name on virtually every fresh dog food query ChatGPT answers. The brand is known, the product is respected, the ingredient quality is real. But when a buyer asks "what do vets recommend for dog food," Spot & Tango appears at position five — behind Purina Pro Plan, Hill's Science Diet, Royal Canin, and JustFoodForDogs. The AI answer explains it plainly: Spot & Tango is "becoming more popular among owners looking for fresh food alternatives" but "does not yet have the same level of institutional veterinary backing."

Where it shows up: Veterinary authority is not built through brand voice. It is built through parseable clinical signals — board-certified veterinary nutritionist cross-links, feeding trial language in HTML, WSAVA-aligned manufacturing disclosures. The Farmer's Dog has these wired in. Spot & Tango does not, and it costs them the top position on the highest-intent query in the category.

Layer 3 · Trust
02

The ingredient sourcing gap

Spot & Tango's entire brand positioning is built around ingredient transparency and recognizable whole food components. ChatGPT cites this accurately — "Spot & Tango does a strong job highlighting recognizable whole food ingredients." But when ranked for ingredient sourcing transparency, Spot & Tango finishes second behind JustFoodForDogs, which "openly discusses ingredient origins, manufacturing processes, feeding trials, and nutritional formulation standards." The brand's transparency is real. The structured data that would let AI verify and rank it as category-best is not parseable from the PDP.

Where it shows up: A pet parent asking "what dog food has the most transparent ingredient sourcing" is the highest-intent buyer in the category. Spot & Tango should own that query. They are cited second because their sourcing story is marketing copy rather than structured, AI-readable data.

Layer 2 · Understanding
03

The AAFCO compliance signal gap

AAFCO compliance is a baseline trust signal that AI engines use to confirm nutritional adequacy on senior, puppy, and medical-need queries. ChatGPT confirms Spot & Tango meets AAFCO standards. But when asked about AAFCO compliant fresh dog food brands, The Farmer's Dog leads — because their AAFCO compliance language is surfaced in HTML as structured data, not buried in a PDF or a checkbox on a landing page. For senior dog queries, Spot & Tango drops to position four, specifically described as potentially helpful for "appetite or digestion issues" — supportive language, not authoritative positioning.

Where it shows up: Senior, puppy, and medical-need queries are where conversion intent is highest. Spot & Tango has the product quality to win these queries. The compliance signal that would put them at the top is not wired into the infrastructure that AI reads.

Layer 3 · Trust
04
The fresh-vs-legacy collision

Fresh-DTC brands won Instagram. Veterinary brands are still winning AI.

Here's the surprising finding. Fresh-food DTC brands like The Farmer's Dog, Ollie, and Nom Nom dominate this leaderboard — but when you expand the audit to include veterinary kibble brands like Hill's Science Diet, Royal Canin, and Purina Pro Plan (not on this leaderboard because they're not on Shopify), the picture changes. Veterinary kibble still wins "what do vets recommend" queries on ChatGPT and Claude. Fresh-DTC brands win "best dog food online" queries. The category is fragmenting along an axis pet parents don't realize exists.

→ The pattern that matters most for fresh-DTC pet brands right now

Spot & Tango wins the direct comparison against The Farmer's Dog — and still finishes second on every query that matters. That's the gap.

When ChatGPT is asked "Spot and Tango vs The Farmer's Dog — which is better," Spot & Tango is cited first. The brand wins on flexibility, ingredient quality, and the UnKibble innovation. But when a buyer asks "what do vets recommend for dog food" without naming either brand, Spot & Tango finishes fifth — behind Purina, Hill's, Royal Canin, and JustFoodForDogs. The product wins the direct fight. The infrastructure loses the discovery query. And discovery is where new customers come from.

This isn't a story about The Farmer's Dog being better. It's a story about Spot & Tango being invisible at the top of the funnel — on the queries where buyers are still deciding which brand to even consider.

Three real query receipts

"What is the best fresh dog food delivery service?"
ChatGPT 4o
What ChatGPT said → Cited The Farmer's Dog first ("the most recognized fresh dog food delivery service overall")
→ Then Spot & Tango at position two — "one of the strongest alternatives for owners who want cleaner ingredient panels"
Spot & Tango cited second despite ingredient quality that matches or exceeds The Farmer's Dog — The Farmer's Dog leads on "customization system" and "owner satisfaction," both of which are entity signals built through structured review and nutrition data
Second position — product quality without discovery authority
"What do vets recommend for dog food?"
ChatGPT 4o
What ChatGPT said → Cited Purina Pro Plan, Hill's Science Diet, Royal Canin as the veterinary standard
Spot & Tango cited fifth — "becoming more popular among owners looking for fresh food alternatives" but not universally recommended in traditional veterinary medicine
→ This is the query every new pet parent runs first. Spot & Tango has the ingredient quality to deserve a higher position. The veterinary trust infrastructure that would put them there is not in place.
Fifth position on the highest-intent query in pet
"Spot and Tango vs The Farmer's Dog — which is better?"
ChatGPT 4o
What ChatGPT said → Cited Spot & Tango first — wins on flexibility, UnKibble innovation, and ingredient quality
This is the only query where Spot & Tango leads — when forced to compare directly, the product wins
→ The gap is not product quality. It is that buyers only run this query after they already know both brands. The upstream discovery queries, where buyers are choosing which brands to even consider, still route to The Farmer's Dog first.
Wins the direct comparison — loses the discovery funnel
05
The category math

What the gap is worth, in dollars.

The US pet care category is $152B in 2026 (American Pet Products Association). DTC pet food specifically is $3.8B and growing at 32% YoY (Cascadia Capital Pet Industry Overview, Winter 2025/2026). Online discovery now drives 54% of new-customer acquisition in DTC pet — and of that online discovery, ~41% now starts and ends inside an AI engine.

Total category revenue routed by AI
$4.9B
Estimated. Roughly $4.9B in US premium pet and DTC pet food sales are being directed by ChatGPT, Claude, Perplexity, and Gemini answers annually — and that figure projects to $11.6B within two years if current growth holds.

For an individual brand, the per-brand gap ranges from $320K (small DTC, $5M revenue) to $4.6M (mid-market, $50M+ revenue) annually, depending on category presence and conversion rate from AI mentions. The brands at the top of the leaderboard are capturing this share now. The brands at the bottom are donating it to vet-positioned and fresh-positioned competitors that built the infrastructure first.

06
What separates them

The top three brands do five things. The bottom three do almost none of them.

Same category. Same buyer. Different infrastructure. The gap between The Farmer's Dog and Frenchie Bulldog isn't reputation — it's structural choices on five specific dimensions.

Dimension
Top 3 (Farmer's Dog, Ollie, Nom Nom)
Spot & Tango vs Top 3
Recipe transparency
Named protein sources, AAFCO compliance, and complete nutrient panels in HTML, not images. AI can extract and reason about formulation.
Ingredients trapped in PDP images, marketing copy, or styled accordions. AI cannot parse — falls back to better-structured alternatives.
Veterinary authority signals
Board-certified veterinary nutritionist partnerships explicitly named, cross-linked, and surfaced on PDPs as parseable HTML.
Vet credentials in marketing copy or About pages. AI can't verify or surface the credential when buyers ask "what do vets recommend?"
Single-category positioning
Owns one clear category (fresh dog food, transparent kibble, vet-formulated meals). AI categorization is consistent across training data.
Multi-category positioning (supplements + treats, gear + accessories). AI struggles to classify, routes buyer past entirely.
Subscription / commitment signals
Subscription model surfaced as structured data with cancellation terms, customization, and meal plan personalization parseable.
Subscription mentioned in marketing but not exposed as structured commerce data. AI can't compare "subscription pet food" properly.
Cross-channel entity
Recognized by Google, AVMA references, Reddit r/dogs, and pet-specific publications as the same canonical brand. Entity signal compounds.
Inconsistent entity signals across platforms. AI can't confirm if this is a serious pet brand or a niche lifestyle brand.
07
The recovery framework

How brands close this gap. In that order.

We apply the same four-step framework to every brand we audit. Score first. Audit second. Fix third. Measure to verify. Each step has specific outputs.

01 · Score
Baseline visibility
AVIS score across all major AI engines. Lead-position rate vs presence rate. Per-SKU breakdown. This is the diagnostic snapshot.
02 · Audit
Diagnose the layers
16 fix types across crawlability, understanding, and trust. Each finding ranked by revenue impact ÷ effort. No vanity findings.
03 · Fix
Ship the queue
Schema, entity, llms.txt, structured recipe panels, vet credentials, AAFCO compliance — pushed live where the platform allows native write-back.
04 · Measure
Verify the lift
Re-run AVIS at 30, 60, and 90 days. Confirm AI now recommends what it previously missed. Iterate on remaining gaps.
What happens next

The RevvUp Design Partner Program is opening 10 spots.

We're selecting 10 pet brands to work alongside us for 6 months as design partners. Six months of full platform access, free. Direct input into the product roadmap. Founding partner positioning in our case studies and category reports.

In exchange we ask for: 30 minutes biweekly, willingness to ship fixes we recommend, and permission to cite results in our research. Applications reviewed on a rolling basis. Spots filled by fit, not first-come.

Not ready to commit? Run a free AI visibility audit on your brand. Same methodology as this report. Delivered in 5 business days. Request your free audit →

Audits are run by our platform. Walkthroughs are done by founders, one at a time.
Methodology
& data sources

Sample. 35 named DTC pet brands tested across 142 buyer queries on ChatGPT 4o, Claude 3.5 Sonnet, Perplexity, and Gemini. All audited brands run on Shopify and fall in the $1M–$500M revenue range. Queries sourced from observed category search volume (Similarweb, Google query expansion, BrightEdge pet category indices) and validated against pet community activity (Reddit r/dogs, r/DogFood, pet-specific YouTube channels, vet-focused publications).

AVIS scoring. Composite 0-100 score weighted: 50% presence rate (named in any answer), 30% lead-position rate (first-named), 20% citation authority (own pages used as sources). Tier thresholds: Critical 0-20, Poor 21-40, Fair 41-60, Strong 61-80, Dominant 81-100.

Category sizing. US pet care market baseline: $152B (American Pet Products Association, 2026 Industry Trends Report). DTC pet food subcategory: $3.8B (Cascadia Capital Pet Industry Overview, Winter 2025/2026). Online discovery share: 54% (Statista DTC Pet Report). AI-routed share within online discovery: 41% (RevvUp proprietary measurement across 35-brand panel). Resulting category-level AI-routed revenue estimate: $4.9B annually, projected to $11.6B within two years at observed 55% CAGR for AI-routed traffic.

Confidence. Directional. Not accounting-grade. Brand-level scores are honest about what we tested and what we didn't. Full per-brand audit available on request.