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Technology · a live data story

Smartphones,
according to AI

Every week we ask ChatGPT, Claude and Gemini the questions real UK consumers ask about smartphones — and record exactly which brands they put forward. Right now, Samsung owns the conversation.

0 AI answers this run · 0 brands named · measured, never estimated

The podium

Samsung is the default answer.

Named in 60% of smartphones answers, typically in position 1.9. Google follows at 57%, Apple at 48%.

Google
57% of answers
Samsung
60% of answers
Apple
48% of answers
The full board

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.

#BrandVisibilityAvg. positionCitation shareRead→cited
1Samsung 60% 1.9 24% 15%
2Google 57% 2.2 20% 38%
3Apple 48% 2.5 36% 15%
4Xiaomi 17% 4.2 4% 25%
5OnePlus 13% 3.4 0% —
6Motorola 13% 4.4 0% —
7Oppo 10% 3.3 8% 50%
8Nothing 8% 4.0 0% —
9Honor 7% 4.3 0% 0%
10Ulefone 5% 2.0 0% —
11Vivo 5% 4.7 0% —
12CAT 3% 3.5 0% —
13Crosscall 2% 1.0 0% —
14Sonim 2% 1.0 4% 9%
15Doogee 2% 2.0 4% —
What AI wants here

Samsung is named most. That is not the same as being wanted.

Being named is visibility. Underneath it, every answer describes a brand in three ways — how much it stands out, how much it belongs, and how much it is returned to. In smartphones, Google leads affinity at 115 against Xiaomi at 55, indexed on the category at 100.

Affinity
Google115
Xiaomi55
60-point spread
Attachment
Samsung115
Xiaomi57
58-point spread
Attraction
Google110
Xiaomi88
22-point spread
Google: Attraction 110, Affinity 115, Attachment 114
Google
Ahead on all three
Samsung: Attraction 103, Affinity 115, Attachment 115
Samsung
Credible, not first choice
Apple: Attraction 99, Affinity 115, Attachment 115
Apple
Credible, not first choice
AttractionAffinityAttachment

Each whorl lights one ring per index threshold cleared. See the full smartphones desire edition →

What AI searched for first

Before it answers, it goes looking for Google.

An assistant does not answer from memory alone. It runs its own web searches first, and whoever it searches for is the shortlist it then chooses from. Across 63 searches in smartphones, Google is named in 36% of the ones that name a brand at all. ChatGPT Web, Copilot do not report their searches, so these shares are measured against the ones that do.

Google 36%
Samsung 29%
Apple 21%
Xiaomi 14%
Claude
Searches per question1.1
Names a brand0%
Names a year69%
Goes to a site0%
Gemini
Searches per question1.8
Names a brand0%
Names a year46%
Goes to a site0%
ChatGPT
Searches per question1.2
Names a brand47%
Names a year80%
Goes to a site20%
2026 latest smartphone processor benchmarks Snapdragon Apple A-series MediaTek Dimensity generation performance gains
ChatGPT
UK phone screen repair cheapest options Apple Samsung official repair pricing screen replacement 2026
ChatGPT
how much faster are new phone processors generation vs generation smartphone benchmark trends
Gemini
best phone low light photography 2026 UK iPhone 17 Pro Pixel 10 Pro Galaxy S26 Ultra review
ChatGPT

These are the assistants' own searches, read from their answers — not what anyone typed into a search engine.

Who AI trusts here

The referees of smartphones.

The independent sources AI models cite when answering smartphones questions — the places a brand needs to be seen, reviewed and ranked.

youtube.com 11 cites
techradar.com 10 cites
reddit.com 9 cites
expertreviews.co.uk 7 cites
trustedreviews.com 7 cites
bgr.com 5 cites
digitalcameraworld.com 5 cites
gsmarena.com 5 cites
pcmag.com 4 cites
techadvisor.com 4 cites
Read is not cited

Google converts reads into citations. Sonim doesn't.

When Claude or ChatGPT opens a brand's own pages while answering, does the page make the cited-sources list? Google converts 38% of reads; Sonim just 9%. That gap is a content problem, not a visibility problem.

Google · read 13×38%
Xiaomi · read 4×25%
Apple · read 47×15%
Samsung · read 34×15%
Sonim · read 11×9%
Full data table
#BrandVisibilityAvg. positionCitation shareRead→cited
1Samsung60%1.924%15%
2Google57%2.220%38%
3Apple48%2.536%15%
4Xiaomi17%4.24%25%
5OnePlus13%3.40%—
6Motorola13%4.40%—
7Oppo10%3.38%50%
8Nothing8%4.00%—
9Honor7%4.30%0%
10Ulefone5%2.00%—
11Vivo5%4.70%—
12CAT3%3.50%—
13Crosscall2%1.00%—
14Sonim2%1.04%9%
15Doogee2%2.04%—
Which AI you ask

All three models agree: Samsung.

A rare consensus — every model puts Samsung first, and their top-five lists overlap 43%. Winning here means winning everywhere at once.

Claude recommends
Samsung
named in 50% of its answers
Gemini recommends
Samsung
named in 75% of its answers
ChatGPT recommends
Samsung
named in 55% of its answers

Brands whose visibility swings most between models — the bar per model, widest gap on the right.

Google 35pp
Motorola 30pp
Samsung 25pp
OnePlus 15pp
Honor 15pp
Apple 10pp
ClaudeGeminiChatGPT
The data behind this chart
BrandClaudeGeminiChatGPTSpread
Google40%75%55%35pp
Motorola0%30%10%30pp
Samsung50%75%55%25pp
OnePlus20%15%5%15pp
Honor15%0%5%15pp
Apple45%55%45%10pp
Xiaomi15%15%20%5pp
Nothing10%10%5%5pp
CAT5%0%5%5pp
Crosscall5%0%0%5pp
What AI reads here

Comparisons carry smartphones.

Every page AI opened while answering, classified by what kind of page it is. Comparisons supply the most citations; How-to guides convert best — 98% of the ones models opened were actually cited.

Comparisons
82 cited · 20 read only
80% of reads cited
Editorial
63 cited · 21 read only
75% of reads cited
How-to guides
49 cited · 1 read only
98% of reads cited
Listicles
33 cited · 10 read only
77% of reads cited
Community threads
31 cited · 8 read only
79% of reads cited
Reviews
20 cited · 9 read only
69% of reads cited
Product pages
16 cited · 8 read only
67% of reads cited
Other
13 cited · 23 read only
36% of reads cited
The data behind this chart
Page typeCitedRead but not citedConversion
Comparisons822080%
Editorial632175%
How-to guides49198%
Listicles331077%
Community threads31879%
Reviews20969%
Product pages16867%
Other132336%
What gets cited

Named author is what separates cited from ignored.

Of the smartphones pages models actually opened, how much more often each feature's pages ended up in the cited sources. Named author is worth 2 percentage points; cites its sources pages fare 50pp worse. Measured within the read population, so selection can't flatter it.

Named author +2pp
Structured data +2pp
Specifications -0pp
Answer up front -6pp
Hard statistics -9pp
Updated this year -12pp
Comparison table -15pp
Cites its sources -50pp
The data behind this chart
FeaturePages withCited %Pages withoutCited %Difference
Named author27272%22470%+2pp
Structured data21172%28570%+2pp
Specifications20271%29471%-0pp
Answer up front22467%27274%-6pp
Hard statistics24066%25675%-9pp
Updated this year23265%26477%-12pp
Comparison table16261%33476%-15pp
Cites its sources4726%44976%-50pp
Citation readiness

Oppo 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. Motorola is the widest gap: well-built pages that still aren't converting into citations.

BrandReadinessPages citedPages profiled
Oppo 38 67% 3
Doogee 38 50% 4
Honor 38 18% 11
Samsung 32 25% 63
Apple 32 10% 158
Xiaomi 30 20% 10
Motorola 25 0% 24
Nokia 13 33% 3
Google 11 15% 62
OnePlus 11 9% 32

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.

What the answers answer

The questions smartphones 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.

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Keep exploring

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 Thu, 08 Oct 2026 06:39:55 GMT.

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