# GEO Audit for Pets & Animal Supplies

> AI checklist for pet stores. Ingredient composition, vet validation, species/age filter - ChatGPT and Perplexity visibility.

- Canonical HTML: https://verityscore.io/en/industries/pets-animal-supplies/
- Markdown alternate: https://verityscore.io/en/industries/pets-animal-supplies.md
- Language: en
- Industry id: pets

Composition, vet validation, species filter - AI agents also protect pets.

The pet nutrition industry has a critical urgency on ingredient composition (Z92): it's an EU legal obligation for pet food. AI agents systematically verify meat percentage, ingredient origin, and absence of artificial additives. Veterinary validation (Z93) is a strong trust signal, and species/age filter (Z94) is essential for precise recommendations. The industry is competitive.

## Required content

- Ingredient composition (critical) : Z92
- Species & age filter (high) : Z94


## Expected trust signals

- Vet validation (high) : Z93


## Benchmarks

- Structured fields: 7
- AI-extractable claims: 9
- Trust signals in schema: 2
- Content gaps: 3


## Schema.org

- animal_type: Type d'animal. Fix: "additionalProperty": [{"@type": "PropertyValue", "name": "Animal Type", "value": "Dog"}]


## Prompt zones

- Z92: ingredient_quality : Composition ingrédients (% viande, origine, sans additifs artificiels) visible sur PDP
- Z93: vet_validation : Validation vétérinaire ou recommandation expert visible sur PDP
- Z94: species_age_filter : Filtre espèce (chien/chat) et tranche d'âge accessible PDP


## UX patterns

- ration_calculator: Daily ration calculator based on pet weight, breed, and activity level
- species_filter: Filter by species (dog, cat, small pet) and age range (puppy, adult, senior)


## FAQ

### Why is ingredient composition a critical urgency?

It's an EU legal obligation for pet food. AI agents filter by meat percentage, origin, and additive-free claims. Without this data in schema.org, your product is excluded from recommendations.

### Does veterinary validation have an impact?

Yes. Zone Z93 evaluates visible veterinary recommendation. It's the E-E-A-T expert signal equivalent for pets - AI detects it and increases trust.

### How do I structure animal type?

Add additionalProperty name='Animal Type' value='Dog' in schema.org Product. AI agents systematically filter by species for queries like 'senior dog food'.

### Is the ration calculator detected?

Yes. UX patterns ration_calculator and species_filter are detected and valued. They generate personalized recommendations extractable by AI.

### Are industry benchmarks competitive?

Yes. 7 structured fields, 9 AI-extractable claims, 2 trust signals. Leaders (Royal Canin, Hill's) perfectly structure composition and species data.

### Is AAFCO compliance detected as an AI signal in US/Canada markets?

Yes. AI agents use AAFCO (Association of American Feed Control Officials) compliance as a nutritional quality signal in North American markets. Expose 'AAFCO compliant' and 'complete and balanced' formulation statements in an additionalProperty in schema.org to maximize cross-market visibility.


## Related articles

- https://verityscore.io/en/kb/eeat-signaux-ia/
- https://verityscore.io/en/kb/contenu-conversationnel/