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Property · refreshed weekly

How AI wants property portals & agents

Property Portals & Agents is decided on attraction: Rightmove indexes 109 there against PrimeLocation at 95, a 14-point spread. Attachment separates almost nobody (4 points across the whole category), so being described that way is table stakes here rather than an advantage. Rightmove holds the strongest overall profile at 105 — magnetic but unbought. But the brand assistants name most often is Zoopla, not the category's market leader: being desired and being named are not the same measurement.

4 brands · 60 AI answers · 44 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)
Property

Property Portals & Agentsupset

#Brand AttractionAffinityAttachment Desire shapeNamed in
1 Rightmove: Attraction 109, Affinity 105, Attachment 103Rightmove 109 105 103 Magnetic but unbought 27%
2 Zoopla: Attraction 102, Affinity 98, Attachment 99Zoopla 102 98 99 Category default 28%
3 OnTheMarket: Attraction 95, Affinity 98, Attachment 99OnTheMarket 95 98 99 Habit, not love 17%
4 PrimeLocation: Attraction 95, Affinity 98, Attachment 99PrimeLocation 95 98 99 Habit, not love 2%

Indexed against the property portals & agents average of 4 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

14-point spread
Rightmove109
PrimeLocation95

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

Affinity

7-point spread
Rightmove105
PrimeLocation98

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

Attachment

4-point spread
Rightmove103
PrimeLocation99

Tightly bunched: assistants describe every brand here in much the same terms, so it is the price of entry rather than an edge.

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.

Rightmove: Attraction 109, Affinity 105, Attachment 103
Magnetic but unbought
AI admires it and forgets to recommend buying it again.
Rightmove
Build next: attachment
OnTheMarket: Attraction 95, Affinity 98, Attachment 99
Habit, not love
Recommended for reliability and ease; nobody calls it exciting.
OnTheMarket · PrimeLocation
Build next: attraction
Zoopla: Attraction 102, Affinity 98, Attachment 99
Category default
Parity on all three: the safe answer, never the interesting one.
Zoopla
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
Leadership & Momentum Attraction 7.6 Rightmove 8.7 1.7
Boldness & Creativity Attraction 6.3 Rightmove 7.0 1.0
Heritage & Authority Affinity 7.3 Rightmove 8.0 1.0
Quality & Performance Attraction 7.4 Rightmove 8.0 1.0
Range & Availability Attachment 8.3 Rightmove 9.0 1.0

Where everyone reads alike

DimensionDriverCategory avgStrongestSpread
Value & Pricing Attachment 7.0 OnTheMarket 7.0 0.0
Trust & Credibility Affinity 8.0 OnTheMarket 8.0 0.0
Reliability & Consistency Attachment 8.0 OnTheMarket 8.0 0.0
Ease of Use & Onboarding Attachment 8.1 Rightmove 8.3 0.3
Innovation & Technology Attraction 7.4 Rightmove 7.7 0.7

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.