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Finance · a live data story

Pensions,
according to AI

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

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

The podium

Hargreaves Lansdown is the default answer.

Named in 7% of pensions answers, typically in position 1.8. Vanguard follows at 7%, Legal & General at 7%.

Vanguard
7% of answers
Hargreaves Lansdown
7% of answers
Legal & General
7% 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
1Hargreaves Lansdown 7% 1.8 6% 0%
2Vanguard 7% 1.8 3% 100%
3Legal & General 7% 3.3 6% 50%
4Aviva 5% 2.0 13% 33%
5AJ Bell 5% 2.3 6% 50%
6Interactive Investor 5% 3.3 8% 100%
7Fidelity International 5% 3.7 7% 25%
8NEST 3% 1.0 3%
9Scottish Widows 3% 3.5 6% 0%
10Peoples Pension 2% 1.0 0%
11Standard Life 2% 4.0 3% 33%
12Aegon 0% 8% 67%
13Freetrade 0% 1%
14Monzo 0% 1%
15Nutmeg 0% 1%
What AI wants here

Legal & General 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 pensions, Aviva leads affinity at 97 against Peoples Pension at 91, indexed on the category at 100.

Affinity
Aviva97
Peoples Pension91
6-point spread · tracks being named 0.89
Attraction
Aviva87
Peoples Pension84
3-point spread · tracks being named 0.92
Attachment
NEST93
Peoples Pension92
1-point spread · tracks being named -0.36
Aviva: Attraction 87, Affinity 97, Attachment 92
Aviva
Loved, not chosen
Legal General: Attraction 87, Affinity 97, Attachment 92
Legal & General
Loved, not chosen
Fidelity International: Attraction 87, Affinity 97, Attachment 92
Fidelity International
Loved, not chosen
AttractionAffinityAttachment

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

What AI searched for first

Before it answers, it goes looking for AJ Bell.

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 75 searches in pensions, AJ Bell is named in 20% of the ones that name a brand at all. ChatGPT Web does not report its searches, so these shares are measured against the ones that do.

AJ Bell 20%
Fidelity International 20%
Hargreaves Lansdown 20%
Interactive Investor 20%
Vanguard 20%
Claude
Searches per question1.1
Names a brand0%
Names a year38%
Goes to a site0%
Gemini
Searches per question2
Names a brand0%
Names a year10%
Goes to a site0%
ChatGPT
Searches per question1.1
Names a brand5%
Names a year30%
Goes to a site90%
UK SIPP platform fees 2026 official fee schedule Vanguard AJ Bell Fidelity Interactive Investor Hargreaves Lansdown
ChatGPT
site:gov.uk tax on your private pension contributions tax relief relief at source net pay higher rate
ChatGPT
UK retirement safe withdrawal rate 2025 research Morningstar 3.7%
ChatGPT
safe withdrawal rate retirement UK financial conduct authority
Gemini

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 pensions.

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

gov.uk 42 cites
moneyhelper.org.uk 42 cites
fca.org.uk 11 cites
aberdeenadviser.com 6 cites
pension-helper.co.uk 6 cites
unbiased.co.uk 6 cites
peoplespension.co.uk 5 cites
thepensionsregulator.gov.uk 5 cites
moneysavingexpert.com 4 cites
pensionbible.co.uk 4 cites
Read is not cited

Aegon converts reads into citations. Hargreaves Lansdown doesn't.

When Claude or ChatGPT opens a brand's own pages while answering, does the page make the cited-sources list? Aegon converts 67% of reads; Hargreaves Lansdown just 0%. That gap is a content problem, not a visibility problem.

Aegon · read 3×67%
Aviva · read 3×33%
Standard Life · read 3×33%
Fidelity International · read 4×25%
Hargreaves Lansdown · read 3×0%
Full data table
#BrandVisibilityAvg. positionCitation shareRead→cited
1Hargreaves Lansdown7%1.86%0%
2Vanguard7%1.83%100%
3Legal & General7%3.36%50%
4Aviva5%2.013%33%
5AJ Bell5%2.36%50%
6Interactive Investor5%3.38%100%
7Fidelity International5%3.77%25%
8NEST3%1.03%
9Scottish Widows3%3.56%0%
10Peoples Pension2%1.00%
11Standard Life2%4.03%33%
12Aegon0%8%67%
13Freetrade0%1%
14Monzo0%1%
15Nutmeg0%1%
Which AI you ask

Three models. Three different answers.

Ask about pensions and the brand you are shown depends on the assistant: Claude → Peoples Pension, Gemini → AJ Bell, ChatGPT → Fidelity International. Their top-five lists share just 0% of names.

Claude recommends
Peoples Pension
named in 5% of its answers
Gemini recommends
AJ Bell
named in 15% of its answers
ChatGPT recommends
Fidelity International
named in 5% of its answers

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

Hargreaves Lansdown 15pp
AJ Bell 15pp
Vanguard 15pp
Legal & General 15pp
Interactive Investor 10pp
Aviva 10pp
NEST 10pp
Fidelity International 10pp
ClaudeGeminiChatGPT
The data behind this chart
BrandClaudeGeminiChatGPTSpread
Hargreaves Lansdown5%15%0%15pp
AJ Bell0%15%0%15pp
Vanguard0%15%5%15pp
Legal & General0%15%5%15pp
Interactive Investor0%10%5%10pp
Aviva0%10%5%10pp
NEST0%10%0%10pp
Fidelity International0%10%5%10pp
Peoples Pension5%0%0%5pp
Scottish Widows0%5%5%5pp
What AI reads here

Editorial carry pensions.

Every page AI opened while answering, classified by what kind of page it is. Editorial supply the most citations; How-to guides convert best — 97% of the ones models opened were actually cited.

Editorial
107 cited · 5 read only
96% of reads cited
How-to guides
68 cited · 2 read only
97% of reads cited
Comparisons
25 cited · 1 read only
96% of reads cited
Documentation
19 cited · 2 read only
90% of reads cited
Product pages
10 cited · 1 read only
91% of reads cited
Other
9 cited · 5 read only
64% of reads cited
The data behind this chart
Page typeCitedRead but not citedConversion
Editorial107596%
How-to guides68297%
Comparisons25196%
Documentation19290%
Product pages10191%
Other9564%
What gets cited

Answer up front is what separates cited from ignored.

Of the pensions pages models actually opened, how much more often each feature's pages ended up in the cited sources. Answer up front is worth 7 percentage points; hard statistics pages fare 9pp worse. Measured within the read population, so selection can't flatter it.

Answer up front +7pp
Structured data +3pp
Comparison table +3pp
Updated this year -2pp
Named author -3pp
Hard statistics -9pp
The data behind this chart
FeaturePages withCited %Pages withoutCited %Difference
Answer up front18096%11589%+7pp
Structured data23494%6190%+3pp
Comparison table8295%21392%+3pp
Updated this year12292%17394%-2pp
Named author12891%16794%-3pp
Hard statistics14488%15197%-9pp
Citation readiness

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

BrandReadinessPages citedPages profiled
Freetrade 59 25% 4
Wealthify 54 0% 3
PensionBee 51 25% 36
LV= 48 0% 5
Standard Life 45 14% 29
Royal London 44 14% 22
InvestEngine 40 0% 5
Scottish Widows 39 22% 9
AJ Bell 37 1% 142
Canada Life 33 20% 5

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 pensions 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.

What is an annuity?
What is a SIPP?
What is pension drawdown?
What is a stakeholder pension?
What is a workplace pension?
What is pension consolidation?
How does pension tax relief work?
How are annuity rates calculated?
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 Tue, 08 Sep 2026 07:07:21 GMT.

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