AI visibility: Australian vet businesses, ranked

Measured across 9 businesses · average AI visibility 49/100 · updated continuously. When buyers ask AI for a vet, these are the businesses it names most.

#	Business	AI visibility	Verdict
1	Stores stores.petco.com	66	Visible to AI
2	Qvs qvs.com.au	50	Barely visible
3	The Wild Vet thewildvet.com.au	50	Barely visible
4	Urban Exotics Vet urbanexoticsvet.com	50	Barely visible
5	Itchypetvet itchypetvet.com	49	Barely visible
6	Arkvets arkvets.com.au	49	Barely visible
7	Avesvet avesvet.com.au	47	Barely visible
8	Animalemergencyservice animalemergencyservice.com.au	42	Barely visible
9	SASH Vets sashvets.com	39	Barely visible

The state of vet AI visibility

Aggregated across 10 measured scans in this category (anonymised — includes community scans, never names).

Visible to AI

10%

Barely visible

90%

Invisible to AI

Visibility score distribution

0–19

20–39

40–59

60–79

80–100

Average signal scores — where the category is weak

Quotable content

Brand recognition

Trust & credibility

Site health

Machine-readable info

AI-ready setup

The category's weakest signal is quotable content (avg 63/100) — the businesses that fix it first take the answers.

The names AI keeps saying

Across every scan in this category, these are the businesses the engines recommended most often:

Urban Exotics Vet ×3The Wild Vet ×3North Shore Veterinary Hospital ×3Carlingford Animal Hospital ×3Avian & Exotics Service ×3SASH Sunshine Coast ×2

Where would you rank?
Run the free 60-second scan — see whether ChatGPT, Claude, Perplexity and Google's AI name your business, and who they name instead.
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Method. Found by AI asks ChatGPT, Claude, Perplexity and Google's AI the questions real buyers ask for each category, then measures which businesses the engines actually name. Scores are 0–100 point-in-time measurements; the index re-scans and grows automatically. Businesses listed here were selected and measured by us from public directories — scan your own site free to see where you'd rank. Queries and methodology are open: github.com/techhorizonlabs.