The SetpointHQ IndexUpdated 2 November 2026

The SetpointHQ Index: UK employer AI visibility, measured.

Name: The SetpointHQ Index: UK Employer AI Visibility
Published: 2 November 2026
License: https://creativecommons.org/licenses/by/4.0/

A longitudinal dataset of how AI assistants describe UK employer brands to candidates. 101 brands, scored monthly against a consistent methodology. The empirical context every Pro report sits inside.

See the ranking Read the methodology

Measure · Track · FixHit the target, then raise it

Brands tracked: 101
Sectors covered: 14
Dimensions scored: 5
LLM providers probed: 4
Scoring cadence: Monthly

Why it matters

A candidate asks an AI assistant who the good employers are. The answer decides where they apply.

Most employer brands were built for Google. Almost none have been measured against ChatGPT, Claude, Perplexity or Gemini, the channel a growing share of candidates now research in. The Index measures it, and Pro shows you exactly where you stand.

AI assistant

ChatGPTClaudePerplexityGemini

Which UK employers are best to work for in my field?

For roles in your field in the UK, candidates usually weigh up large, well-known employers with structured training, clear progression and a strong reputation. A few established names tend to surface first. It is worth comparing pay, culture and reviews before applying.

[Your brand] does not appear. Cited in 1 of 4 assistants.

Same question, two AI-era reputations

Illustrative. Pro runs this across four assistants on your own queries.

Measure: How AI describes you, scored 0 to 100 across five dimensions and four assistants.
Track: Monthly, against a consistent methodology and the 101-brand cohort baseline.
Fix: A prioritised roadmap of what to change. Your team or SetpointHQ Services executes it.

Composite · UK all-sector · 2 November 2026

54.7/100

Median composite across 101 UK employer brands. A cohort-anchored baseline: every Pro report benchmarks against this distribution, not against an opaque internal benchmark.

Automotive
57.0
n=3
Banking
55.1
n=9
Consumer tech
48.7
n=10
Energy
56.3
n=5
Fintech
53.3
n=15
Healthcare
59.6
n=5
Healthtech
34.5
n=4
Legal
60.3
n=6
Logistics
52.1
n=5
Media & telecoms
43.5
n=8
Pharma & industrial
54.7
n=7
Professional services
64.1
n=9
Retail, FMCG & CPG
55.9
n=10
Facilities & contract services
54.7
n=5

The five dimensions

Score by dimension. All UK brands. 2 November 2026.

Each dimension scored 0 to 100 the same way for every brand. Composite is a weighted roll-up, with the weightings on the methodology page.

Dimension 01

Citation

27.5

0% scored zero

Dimension 02

Schema

35.0

21% scored zero

Dimension 03

KG · Knowledge Graph

87.8

8% scored zero

Dimension 04

Crawlability

75.0

0% scored zero

Dimension 05

Social

74.0

0% scored zero

The headline findingOne in five UK employers publish no schema an AI assistant can read, and the median brand scores just 35 out of 100. That structured data spells out who you are, where you hire and what each job is, so without it the assistants fall back on guesswork. It is the most common zero in the cohort, and the most fixable.

See your number

Where do you sit against the cohort?

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The cohort

All 101 brands, ranked.

← scroll →

Rank	Brand	Sector	Composite	Citation	Schema	KG	Crawl	Social
9 of 101	BAE Systems	Pharma & industrial	67.6	42.5	80.0	98.8	68.0	78.0
19 of 101	GSK	Pharma & industrial	62.3	22.5	80.0	99.2	75.0	82.0
47 of 101	AstraZeneca	Pharma & industrial	55.8	25.0	25.0	100.0	100.0	80.0
52 of 101	Rolls-Royce	Pharma & industrial	54.7	47.5	0.0	98.6	75.0	80.0
64 of 101	Babcock International	Pharma & industrial	48.9	27.5	0.0	89.7	100.0	72.0
67 of 101	Johnson Matthey	Pharma & industrial	48.5	20.0	25.0	92.2	85.0	66.0
91 of 101	Smiths Group	Pharma & industrial	40.0	20.0	0.0	90.3	60.0	70.0

Sample = 101 of 103 evaluated. Not measured this cycle: Capgemini UK (page load timed out), Sky (page load timed out). Full methodology and exclusion notes →

Two ways in

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Index updates

Monthly scores, methodology changes and cohort additions, by email. No pitch.

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Talk to us about Pro →Read the methodology →