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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, AJ Bell owns the conversation.

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

The podium

AJ Bell is the default answer.

Named in 10% of pensions answers, typically in position 1.3. Hargreaves Lansdown follows at 10%, Vanguard at 8%.

Hargreaves Lansdown
10% of answers
AJ Bell
10% of answers
Vanguard
8% 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
1AJ Bell 10% 1.3 7% 8%
2Hargreaves Lansdown 10% 2.3 11% 50%
3Vanguard 8% 2.2 0% —
4Interactive Investor 8% 3.4 8% 43%
5Aviva 7% 2.0 14% 100%
6Legal & General 5% 2.3 8% 100%
7Scottish Widows 5% 3.0 7% —
8NEST 3% 2.5 4% —
9Aegon 3% 3.0 5% 100%
10Fidelity International 3% 3.0 8% 50%
11PensionBee 3% 4.5 9% 29%
12Smart Pension 2% 1.0 0% —
13Freetrade 2% 5.0 0% —
14InvestEngine 2% 6.0 0% 0%
15Canada Life 0% — 4% 0%
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.

moneyhelper.org.uk 43 cites
gov.uk 35 cites
fca.org.uk 13 cites
pension-helper.co.uk 7 cites
thepensionsregulator.gov.uk 5 cites
calchub.uk 4 cites
moneysavingexpert.com 4 cites
peoplespension.co.uk 4 cites
morningstar.com 3 cites
pensionbible.co.uk 3 cites
Read is not cited

Hargreaves Lansdown converts reads into citations. AJ Bell doesn't.

When Claude or ChatGPT opens a brand's own pages while answering, does the page make the cited-sources list? Hargreaves Lansdown converts 50% of reads; AJ Bell just 8%. That gap is a content problem, not a visibility problem.

Hargreaves Lansdown · read 6×50%
Interactive Investor · read 7×43%
PensionBee · read 7×29%
AJ Bell · read 12×8%
Full data table
#BrandVisibilityAvg. positionCitation shareRead→cited
1AJ Bell10%1.37%8%
2Hargreaves Lansdown10%2.311%50%
3Vanguard8%2.20%—
4Interactive Investor8%3.48%43%
5Aviva7%2.014%100%
6Legal & General5%2.38%100%
7Scottish Widows5%3.07%—
8NEST3%2.54%—
9Aegon3%3.05%100%
10Fidelity International3%3.08%50%
11PensionBee3%4.59%29%
12Smart Pension2%1.00%—
13Freetrade2%5.00%—
14InvestEngine2%6.00%0%
15Canada Life0%—4%0%
Which AI you ask

Three models. Three different answers.

Ask about pensions and the brand you are shown depends on the assistant: Claude → Vanguard, Gemini → Interactive Investor, ChatGPT → AJ Bell. Their top-five lists share just 33% of names.

Claude recommends
Vanguard
named in 15% of its answers
Gemini recommends
Interactive Investor
named in 15% of its answers
ChatGPT recommends
AJ Bell
named in 5% of its answers

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

Vanguard 15pp
Fidelity International 10pp
AJ Bell 10pp
Hargreaves Lansdown 10pp
Interactive Investor 10pp
Aegon 10pp
Scottish Widows 10pp
ClaudeGeminiChatGPT
The data behind this chart
BrandClaudeGeminiChatGPTSpread
Vanguard15%10%0%15pp
Fidelity International10%0%0%10pp
AJ Bell10%15%5%10pp
Hargreaves Lansdown10%15%5%10pp
Interactive Investor5%15%5%10pp
Aegon0%10%0%10pp
Scottish Widows0%10%5%10pp
NEST5%5%0%5pp
Aviva5%10%5%5pp
PensionBee5%5%0%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
Legal & General 48 4% 46
LV= 48 0% 5
Standard Life 45 14% 29
InvestEngine 40 0% 5
AJ Bell 37 1% 142
Scottish Widows 36 20% 10
Royal London 35 6% 50

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 are annuity rates calculated?
How does pension tax relief work?
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 07:18:42 GMT.

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