Pet Insurance,
according to AI
Every week we ask ChatGPT, Claude and Gemini the questions real UK consumers ask about pet insurance — and record exactly which brands they put forward. Right now, Agria owns the conversation.
0 AI answers this run · 0 brands named · measured, never estimated
Agria is the default answer.
Named in 23% of pet insurance answers, typically in position 2.2. Petplan follows at 23%, ManyPets at 17%.
Every brand AI names, ranked.
Visibility is the share of answers naming the brand; citation share is its slice of all brand-owned pages cited; read→cited is how often its pages convert a read into a citation.
| # | Brand | Visibility | Avg. position | Citation share | Read→cited |
|---|---|---|---|---|---|
| 1 | Agria | 23% | 2.2 | 10% | 80% |
| 2 | Petplan | 23% | 2.2 | 19% | 35% |
| 3 | ManyPets | 17% | 2.1 | 6% | 15% |
| 4 | More Than | 13% | 1.9 | 1% | — |
| 5 | Animal Friends | 10% | 2.8 | 8% | 7% |
| 6 | Perfect Pet | 8% | 2.4 | 13% | 24% |
| 7 | Direct Line | 8% | 3.2 | 1% | 13% |
| 8 | NFU Mutual | 7% | 1.8 | 2% | 50% |
| 9 | Admiral | 7% | 3.0 | 8% | 50% |
| 10 | BASC | 5% | 2.7 | 0% | 0% |
| 11 | Napier | 5% | 4.0 | 1% | 100% |
| 12 | John Lewis | 5% | 4.3 | 2% | — |
| 13 | Napo | 5% | 4.3 | 0% | — |
| 14 | RSPCA | 2% | 1.0 | 1% | 0% |
| 15 | Petgevity | 2% | 2.0 | 7% | 14% |
PDSA is the pet insurance brand AI wants most.
Being named is visibility. Underneath it, asked to rate each brand directly, the AI assistants judge it three ways — how much it stands out, how much it belongs, and how much it is returned to. They put 17% of the 35 brands rated above indifference. PDSA leads the brands the answers name, at 78% of maximum Desire. On attraction, the most divided driver, PDSA indexes 142 against Petgevity at 64, on a category average of 100.
Each whorl lights one ring per index threshold cleared (84 / 92 / 100 / 108 / 116). Above indifference means Desire above two-thirds of its maximum. See the full pet insurance desire edition →
The referees of pet insurance.
The independent sources AI models cite when answering pet insurance questions — the places a brand needs to be seen, reviewed and ranked.
Agria converts reads into citations. RSPCA doesn't.
When Claude or ChatGPT opens a brand's own pages while answering, does the page make the cited-sources list? Agria converts 80% of reads; RSPCA just 0%. That gap is a content problem, not a visibility problem.
Full data table
| # | Brand | Visibility | Avg. position | Citation share | Read→cited |
|---|---|---|---|---|---|
| 1 | Agria | 23% | 2.2 | 10% | 80% |
| 2 | Petplan | 23% | 2.2 | 19% | 35% |
| 3 | ManyPets | 17% | 2.1 | 6% | 15% |
| 4 | More Than | 13% | 1.9 | 1% | — |
| 5 | Animal Friends | 10% | 2.8 | 8% | 7% |
| 6 | Perfect Pet | 8% | 2.4 | 13% | 24% |
| 7 | Direct Line | 8% | 3.2 | 1% | 13% |
| 8 | NFU Mutual | 7% | 1.8 | 2% | 50% |
| 9 | Admiral | 7% | 3.0 | 8% | 50% |
| 10 | BASC | 5% | 2.7 | 0% | 0% |
| 11 | Napier | 5% | 4.0 | 1% | 100% |
| 12 | John Lewis | 5% | 4.3 | 2% | — |
| 13 | Napo | 5% | 4.3 | 0% | — |
| 14 | RSPCA | 2% | 1.0 | 1% | 0% |
| 15 | Petgevity | 2% | 2.0 | 7% | 14% |
The models do not agree on who leads.
Ask about pet insurance and the brand you are shown depends on the assistant: Claude → Agria, Gemini → Petplan, ChatGPT → Petplan. Their top-five lists share just 22% of names.
Brands whose visibility swings most between models — the bar per model, widest gap on the right.
The data behind this chart
| Brand | Claude | Gemini | ChatGPT | Spread |
|---|---|---|---|---|
| Petplan | 5% | 40% | 25% | 35pp |
| Agria | 30% | 30% | 10% | 20pp |
| Perfect Pet | 15% | 5% | 5% | 10pp |
| Admiral | 10% | 10% | 0% | 10pp |
| Napo | 10% | 0% | 5% | 10pp |
| Napier | 10% | 0% | 5% | 10pp |
| John Lewis | 5% | 10% | 0% | 10pp |
| Animal Friends | 5% | 15% | 10% | 10pp |
| Direct Line | 5% | 15% | 5% | 10pp |
| ManyPets | 20% | 15% | 15% | 5pp |
Editorial carry pet insurance.
Every page AI opened while answering, classified by what kind of page it is. Editorial supply the most citations; Product pages convert best — 92% of the ones models opened were actually cited.
The data behind this chart
| Page type | Cited | Read but not cited | Conversion |
|---|---|---|---|
| Editorial | 69 | 12 | 85% |
| Product pages | 36 | 3 | 92% |
| How-to guides | 25 | 8 | 76% |
| Comparisons | 24 | 2 | 92% |
| Other | 17 | 7 | 71% |
| faq | 11 | 2 | 85% |
| Community threads | 9 | 17 | 35% |
| Documentation | 5 | 18 | 22% |
Structured data is what separates cited from ignored.
Of the pet insurance pages models actually opened, how much more often each feature's pages ended up in the cited sources. Structured data is worth 40 percentage points; hard statistics pages fare 4pp worse. Measured within the read population, so selection can't flatter it.
The data behind this chart
| Feature | Pages with | Cited % | Pages without | Cited % | Difference |
|---|---|---|---|---|---|
| Structured data | 200 | 88% | 87 | 47% | +40pp |
| Specifications | 36 | 97% | 251 | 72% | +25pp |
| Named author | 125 | 88% | 162 | 65% | +23pp |
| Answer up front | 142 | 84% | 145 | 67% | +17pp |
| Comparison table | 78 | 87% | 209 | 71% | +16pp |
| Updated this year | 107 | 80% | 180 | 72% | +8pp |
| Hard statistics | 122 | 73% | 165 | 77% | -4pp |
Scratch & Patch builds pages AI can quote.
Readiness scores each brand's own pages on the structure models reward — a direct answer up front, tables, hard numbers, named authors, structured data, recency, specifications. Scratch & Patch is the widest gap: well-built pages that still aren't converting into citations.
| Brand | Readiness | Pages cited | Pages profiled |
|---|---|---|---|
| Scratch & Patch | 59 | 0% | 4 |
| Admiral | 57 | 33% | 9 |
| Perfect Pet | 56 | 32% | 28 |
| Vetsure | 50 | 9% | 11 |
| Petgevity | 47 | 45% | 11 |
| CoverMyPet | 46 | 17% | 6 |
| Napier | 43 | 0% | 5 |
| Pet Protect | 41 | 27% | 11 |
| ManyPets | 35 | 14% | 51 |
| Agria | 29 | 4% | 125 |
Readiness is the share of eight measurable structural signals present on a brand's profiled pages. It is a build-quality measure, not a ranking of the brand.
The questions pet insurance pages have to settle.
Read straight off the pages AI cited: the consumer questions cited content answers most often. Content that fails to settle these is content models have no reason to quote.
Nineteen more categories.
Method: 20 unbranded consumer prompts per category, spread across the buying journey, run weekly against ChatGPT, Claude and Gemini. Read→cited uses Claude and ChatGPT only (Gemini does not separate the two). Correlational observations of model behaviour at the time of the run. Data from the run completed Sat, 17 Oct 2026 13:14:47 GMT.