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Finance · refreshed weekly

How AI wants life insurance

Life Insurance is decided on attraction: Vitality indexes 137 there against Cirencester Friendly at 81, a 56-point spread. Vitality holds the strongest overall profile at 125 — complete desire. Across these 24 brands, attachment tracks being named most closely (rank correlation 0.77).

24 brands · 60 AI answers · 360 dimension scores · measured, never estimated

Attraction Standing out in the answer: named first, described as superior, magnetic and influential.
Affinity Belonging in the answer: tied to identity, values and legitimacy, not just specifications.
Attachment Staying in the answer: recommended again, dependable, easy, part of the routine.
AttractionAffinityAttachment Each whorl lights one ring per index threshold cleared (90 / 96 / 102 / 108 / 115)
Finance

Life Insurance

#Brand AttractionAffinityAttachment Desire shapeNamed in
1 Vitality: Attraction 137, Affinity 120, Attachment 118Vitality 137 120 118 Complete desire 18%
2 Aviva: Attraction 121, Affinity 111, Attachment 116Aviva 121 111 116 Complete desire 25%
3 Zurich: Attraction 115, Affinity 112, Attachment 116Zurich 115 112 116 Complete desire 13%
4 Legal General: Attraction 113, Affinity 108, Attachment 111Legal & General 113 108 111 Complete desire 15%
5 Royal London: Attraction 110, Affinity 109, Attachment 110Royal London 110 109 110 Complete desire 15%
6 Scottish Widows: Attraction 110, Affinity 109, Attachment 110Scottish Widows 110 109 110 Complete desire 8%
7 AIG: Attraction 108, Affinity 108, Attachment 108AIG 108 108 108 Complete desire 0%
8 AXA: Attraction 108, Affinity 108, Attachment 108AXA 108 108 108 Complete desire 5%
9 LV=: Attraction 108, Affinity 108, Attachment 108LV= 108 108 108 Complete desire 7%
10 Aegon: Attraction 105, Affinity 104, Attachment 99Aegon 105 104 99 Magnetic but unbought 2%
11 Guardian: Attraction 102, Affinity 96, Attachment 102Guardian 102 96 102 Magnetic but unbought 0%
12 SunLife: Attraction 100, Affinity 96, Attachment 97SunLife 100 96 97 Magnetic but unbought 0%
13 PruProtect: Attraction 100, Affinity 93, Attachment 91PruProtect 100 93 91 Magnetic but unbought 0%
14 Canada Life: Attraction 92, Affinity 96, Attachment 94Canada Life 92 96 94 Fading 0%
15 MetLife: Attraction 92, Affinity 93, Attachment 94MetLife 92 93 94 Fading 0%
16 The Exeter: Attraction 94, Affinity 93, Attachment 94The Exeter 94 93 94 Fading 5%
17 MS Bank: Attraction 89, Affinity 96, Attachment 91M&S Bank 89 96 91 Fading 0%
18 Sainsbury's Bank: Attraction 89, Affinity 93, Attachment 94Sainsbury's Bank 89 93 94 Fading 0%
19 Tesco Bank: Attraction 89, Affinity 93, Attachment 94Tesco Bank 89 93 94 Fading 0%
20 Post Office: Attraction 81, Affinity 96, Attachment 97Post Office 81 96 97 Habit, not love 2%
21 OneFamily: Attraction 86, Affinity 86, Attachment 88OneFamily 86 86 88 Fading 0%
22 Phoenix Life: Attraction 84, Affinity 93, Attachment 88Phoenix Life 84 93 88 Fading 0%
23 Shepherds Friendly: Attraction 86, Affinity 89, Attachment 88Shepherds Friendly 86 89 88 Fading 2%
24 Cirencester Friendly: Attraction 81, Affinity 89, Attachment 88Cirencester Friendly 81 89 88 Fading 0%

Indexed against the life insurance average of 24 brands (100 = the category), measured across 60 AI answers in the latest weekly run.

Driver by driver

Where the category actually separates. A wide spread means assistants describe these brands very differently on that driver; a narrow one means it is table stakes.

Attraction

56-point spread · tracks being named 0.73
Vitality137
Cirencester Friendly81

The widest field of the three: this is where the category separates.

Affinity

34-point spread · tracks being named 0.74
Vitality120
OneFamily86

Real separation, but not the category’s defining contest.

Attachment

30-point spread · tracks being named 0.77
Vitality118
Cirencester Friendly88

The tightest of the three: most brands land close together here.

The shapes AI leaves these brands in

Three indices make a profile, and profiles fall into recognisable shapes. A brand that is magnetic but unbought has a different problem from a habit nobody loves — and a different thing to build next.

Vitality: Attraction 137, Affinity 120, Attachment 118
Complete desire
Wanted, belonged-to and repurchased — the rare full spiral.
Vitality · Aviva · Zurich · Legal & General · Royal London · Scottish Widows · AIG · AXA · LV=
Nothing obviously missing.
Aegon: Attraction 105, Affinity 104, Attachment 99
Magnetic but unbought
AI admires it and forgets to recommend buying it again.
Aegon · Guardian · SunLife · PruProtect
Build next: attachment
Post Office: Attraction 81, Affinity 96, Attachment 97
Habit, not love
Recommended for reliability and ease; nobody calls it exciting.
Post Office
Build next: attraction
Canada Life: Attraction 92, Affinity 96, Attachment 94
Fading
Below the benchmark everywhere; the answer has moved on.
Canada Life · MetLife · The Exeter · M&S Bank · Sainsbury's Bank · Tesco Bank · OneFamily · Phoenix Life · Shepherds Friendly · Cirencester Friendly
Build next: attraction

What assistants actually talk about

The sixteen dimensions underneath the drivers, scored 0–10 on how the answers describe each brand. Spread is the distance between the strongest and weakest brand: the widest are where a brand can still separate itself, the narrowest are the price of entry.

Where brands separate

DimensionDriverCategory avgStrongestSpread
Boldness & Creativity Attraction 5.6 Vitality 8.0 4.0
Differentiation vs Sameness Attraction 5.8 Vitality 9.0 4.0
Innovation & Technology Attraction 6.5 Vitality 9.0 4.0
Leadership & Momentum Attraction 6.3 Vitality 9.0 4.0
Lifestyle Fit & Identity Affinity 5.8 Vitality 8.5 3.5

Where everyone reads alike

DimensionDriverCategory avgStrongestSpread
Value & Pricing Attachment 6.6 Aviva 7.5 1.5
Sustainability & Ethics Affinity 6.5 Vitality 8.0 2.0
Style & Aesthetic Attraction 5.7 Aviva 7.0 2.0
Range & Availability Attachment 7.0 AIG 8.0 2.0
Ease of Use & Onboarding Attachment 6.8 Aviva 8.0 2.0

Does desire track being recommended?

Rank correlation between a brand's driver index and the share of answers naming it, across the 24 indexed brands in this category. A relationship inside one run's answers — descriptive, never causal, and easily moved by a single brand at this sample size.

Attraction0.73
Affinity0.74
Attachment0.77

Method & limitations

Every week, each category runs a fixed set of unbranded consumer prompts against ChatGPT, Claude and Gemini. A separate model reads the answers and scores every brand named in them across 16 perception dimensions, 0–10. Those dimensions are grouped into the three Drivers of Desire from the Havas Science of Desire framework, and each brand's driver score is indexed against the average of every scored brand in its category — 100 is the category, 115 is fifteen per cent above it.

This measures how AI assistants describe brands in their answers. It is not a survey of people, and it is not an endorsement: the scores are a reading of machine-generated text at the time of the run, and relationships between drivers and how often a brand is named are correlational. A brand needs at least six scored dimensions in a run to be indexed, and a category needs at least four such brands to get a board. See the full methodology.