Pets & Animal Supplies Shopify GEO Checklist

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

01 · The checklist

The data engines look for on a pet product page

Excerpts from the sector checklist, ranked by weight: what blocks a recommendation when missing, then what reinforces trust. The full audit covers 149 checks.

Required content

Ingredient composition Critical

Species & age filter High

Industry-specific audit zones

Composition ingrédients (% viande, origine, sans additifs artificiels) visible sur PDP

Validation vétérinaire ou recommandation expert visible sur PDP

Filtre espèce (chien/chat) et tranche d'âge accessible PDP

Trust signals

Vet validation High

Expected 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)

02 · Industry benchmarks

Reference values for a pet page

Internal reference values

structured fields

product data exposed in a machine-readable format

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AI-extractable claims

verifiable statements taken verbatim from the page's visible text (efficacy, tests, certification, origin, warranty), excluding technical specs

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trust signals in schema.org

proof (reviews, certifications, policies) marked up in schema.org

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lower = better

buyer questions out of 10 without a clear answer

out of the 10 most likely buyer questions for a product, those left without a clear answer on the page

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Per-sector reference targets defined by Verity Score, not measured on a sample of stores.

03 · Required schema.org

The markup engines can read

Copy the structure and adapt the values to your pages.

Type d'animal Example

"additionalProperty": [{"@type": "PropertyValue", "name": "Animal Type", "value": "Dog"}]

See how engines read your Pets / Animal Supplies store.

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05 · Frequent questions

Your questions about AI engines

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. The audit evaluates visible veterinary recommendation. It is the sector's reference proof of expertise: marked up, it is readable and verifiable by AI.

How do I structure animal type?

Add additionalProperty name='Animal Type' value='Dog' in schema.org Product. AI agents 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.

Get your Pets / Animal Supplies store audited

The Shopify app is in private beta. It analyzes your Pets / Animal Supplies store across 149 checks in 39+ zones, in 60 seconds, and gives you the fixes to make.

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