AI Employer Brand Benchmarks by Industry: UK 2026

How does your employer brand appear in AI compared to your industry peers? This benchmark report provides the reference data HR teams need to measure their AI visibility against sector averages.

Based on OpenRole's audit of 517 UK employers, we've broken down AI Visibility Scores by industry, identified the top performers in each sector, and highlighted the specific gaps that drag each industry's score down.

The overall UK average is 34/100. Most industries cluster between 22 and 52. The gap between the best and worst sectors is 30 points — a significant disparity driven by differences in salary transparency, structured data adoption, and content format.

Source: OpenRole audit data, March 2026. Updated monthly.

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How Does Your Industry Compare?

Browse the UK AI Employer Visibility Index for your specific industry, or run a free audit to see your individual score.

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Cybersecurity — Average Score: 52/100

Score range: 31–78 | Companies audited: 38

Cybersecurity leads all UK industries in AI visibility. The sector benefits from technically sophisticated web teams, high media visibility, and a talent market that's forced employers to compete aggressively for candidates.

What Are the Top Cybersecurity Employers Doing?

The top 3 scorers in cybersecurity (scoring 70+) shared these traits:

• 100% had Organisation schema on their homepage with complete company descriptions
• All three published salary bands for at least their top 5 hiring roles
• All three maintained FAQ-formatted careers pages answering the 7 core candidate questions
• Active engineering blogs generating fresh, crawlable content monthly

Where Does Cybersecurity Fall Short?

Despite leading the pack, even cybersecurity has gaps:

• 58% lacked interview process information in any structured format
• 44% had outdated employee counts (off by 20%+ from reality)
• Benefits descriptions averaged just 41/100 — companies list "competitive package" rather than specifics

Recommended Actions for Cybersecurity Employers

1. Add HowTo schema describing your interview process
2. Update numberOfEmployees in your Organisation schema quarterly
3. Replace "competitive benefits" with a specific, bulleted list

Browse cybersecurity employer rankings on the UK Index.

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Fintech — Average Score: 47/100

Score range: 22–81 | Companies audited: 64

Fintech is the UK's second-strongest industry for AI employer visibility, driven by companies like Monzo and Revolut that have invested heavily in employer branding. However, the range is wide — the best fintech employer scored 81 while the lowest scored just 22.

What Are the Top Fintech Employers Doing?

The top 3 fintech scorers (75+):

• Published complete salary bands for every open role, including equity information
• Maintained weekly-updated careers blogs with behind-the-scenes engineering content
• Had 5+ verified platform profiles (LinkedIn, Glassdoor, Indeed, Crunchbase, GitHub)
• Used JobPosting schema with baseSalary on every job listing page

Where Does Fintech Fall Short?

• 62% of fintech companies published no salary data in any structured format
• Remote/hybrid policies were poorly documented — AI correctly described working arrangements for only 34% of fintech employers
• Career progression frameworks were almost entirely absent from AI responses, even for companies that publish them internally

Recommended Actions for Fintech Employers

1. Publish salary ranges in JobPosting schema — the salary accuracy gap is costing you senior candidates
2. Add your remote/hybrid policy to FAQPage schema
3. Publish your engineering career ladder on your careers page in a structured format

Browse fintech employer rankings on the UK Index.

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SaaS — Average Score: 41/100

Score range: 18–73 | Companies audited: 72

SaaS companies sit at the UK average, with a wide distribution reflecting the sector's range from well-funded scale-ups to bootstrapped startups.

What Are the Top SaaS Employers Doing?

The top 3 SaaS scorers (65+):

• Treated their careers page as a product — structured, data-rich, regularly updated
• Published benefits in specific, quantified terms (e.g., "£1,500 learning budget" not "generous L&D")
• Maintained active Glassdoor profiles with employer responses to reviews
• Allowed all major AI crawlers in robots.txt

Where Does SaaS Fall Short?

• 69% blocked at least one AI crawler in robots.txt (highest blocking rate of any tech sector)
• Culture descriptions in AI responses were vague for 78% of SaaS companies — AI defaulted to generic phrases like "fast-paced, innovative environment"
• Small SaaS companies (under 50 employees) averaged just 24/100 due to minimal web presence

Recommended Actions for SaaS Employers

1. Audit your robots.txt — unblock GPTBot, ClaudeBot, and Google-Extended immediately
2. Replace vague culture language with specific, factual descriptions (team size, tech stack, working cadence)
3. If under 50 employees, prioritise Organisation schema and FAQPage schema as your first two implementations

Browse SaaS employer rankings on the UK Index.

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Consulting — Average Score: 38/100

Score range: 15–69 | Companies audited: 56

Consulting firms face a unique challenge: their employer brand is often overshadowed by their client-facing brand. AI models tend to describe what consulting firms do accurately but know very little about what it's like to work there.

What Are the Top Consulting Employers Doing?

The top 3 consulting scorers (60+):

• Maintained dedicated careers microsites separate from their corporate site
• Published graduate and experienced-hire salary bands transparently
• Had detailed interview process guides with stage-by-stage descriptions
• Invested in employee-generated content (blog posts, video testimonials) that AI could reference

Where Does Consulting Fall Short?

• 78% had zero salary data accessible to AI — the highest absence rate in any professional sector
• Interview processes were described as "rigorous" by AI but with no actual detail for 81% of firms
• Work-life balance information was almost entirely absent — AI often cited negative perceptions from Reddit and forum posts

Recommended Actions for Consulting Employers

1. Publish at least graduate and senior consultant salary ranges
2. Create a detailed, publicly accessible interview process guide
3. Add FAQPage schema addressing work-life balance directly — control the narrative before Reddit does

Browse consulting employer rankings on the UK Index.

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Energy — Average Score: 35/100

Score range: 12–65 | Companies audited: 41

Energy companies are undergoing a major talent shift as the sector pivots towards renewables and green technology. AI visibility hasn't kept pace with the transformation.

Where Does Energy Fall Short?

• 73% of energy companies had Organisation schema that described their products but not their employer brand
• Sustainability credentials — a major candidate attractor — were absent from AI responses for 82% of energy employers
• AI frequently described energy companies using outdated industry categorisations (e.g., "oil and gas" for companies that have pivoted to renewables)

Recommended Actions for Energy Employers

1. Update your Organisation schema description to reflect your current focus (renewables, clean tech, etc.)
2. Add sustainability commitments and ESG data to your careers page in structured format
3. Ensure your LinkedIn and Glassdoor profiles reflect your current positioning, not historical descriptions

Browse energy employer rankings on the UK Index.

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Media — Average Score: 33/100

Score range: 14–61 | Companies audited: 35

Media companies often have strong consumer brands but weak employer brands in AI. AI models know what media companies produce but struggle to describe them as workplaces.

Where Does Media Fall Short?

• Only 17% published salary data — below the UK average of 39%
• Freelance vs. permanent roles were poorly distinguished in AI responses
• AI frequently cited outdated information about media companies (referencing pre-restructuring team sizes and office locations)

Recommended Actions for Media Employers

1. Clearly distinguish freelance and permanent roles in your JobPosting schema
2. Update your Organisation schema to reflect current team size and locations
3. Publish salary ranges — media's reputation for low pay means AI defaults to pessimistic estimates

Browse media employer rankings on the UK Index.

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AI/ML — Average Score: 32/100

Score range: 11–64 | Companies audited: 29

The irony is sharp: companies building AI are among the least visible to it. Most AI/ML companies in our sample are early-stage startups with minimal structured web presence.

Where Does AI/ML Fall Short?

• 72% had no structured data on any page — the worst adoption rate in any tech sector
• AI frequently confused similar-sounding companies due to lack of distinguishing structured data
• Equity and total compensation — often a major part of AI/ML packages — were absent from AI responses entirely

Recommended Actions for AI/ML Employers

1. Implement Organisation schema immediately — give AI basic facts to prevent confusion with similarly-named companies
2. Include equity ranges alongside base salary in JobPosting schema
3. Publish a careers page with FAQ formatting — even a single page with 5 Q&A pairs will significantly improve visibility

Browse AI/ML employer rankings on the UK Index.

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Professional Services — Average Score: 31/100

Score range: 10–58 | Companies audited: 48

Professional services firms (accounting, legal, HR, recruitment) scored below average, primarily due to low salary transparency and reliance on third-party job boards rather than owned careers content.

Recommended Actions for Professional Services Employers

1. Build a careers page on your own domain rather than relying solely on LinkedIn and Indeed
2. Publish salary bands for at least trainee and manager-level roles
3. Add FAQPage schema with answers about professional development and qualification support

Browse professional services employer rankings on the UK Index.

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Healthcare — Average Score: 28/100

Score range: 8–52 | Companies audited: 67

Healthcare employers face structural challenges: many roles follow NHS pay bands (which AI knows), but private healthcare employers are poorly represented in AI training data.

Recommended Actions for Healthcare Employers

1. Explicitly state whether you follow NHS Agenda for Change or set independent pay scales
2. Highlight non-salary benefits (pension, shift patterns, CPD support) in structured format
3. Use FAQPage schema to address the most common candidate concerns (work-life balance, staffing ratios, overtime)

Browse healthcare employer rankings on the UK Index.

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Retail — Average Score: 22/100

Score range: 5–47 | Companies audited: 67

Retail has the lowest AI visibility of any UK industry. The primary driver: near-zero salary transparency combined with heavy reliance on job boards rather than owned careers content.

Where Does Retail Fall Short?

• Only 8% published any salary data — the lowest rate of any industry
• AI hallucinated salary figures for retail employers at a 40% rate — the highest of any sector
• 92% had no schema markup of any kind on their careers pages
• Career progression information was absent from AI responses for 94% of retail employers

Recommended Actions for Retail Employers

1. Publish salary ranges — even hourly rates for frontline roles would dramatically improve accuracy
2. Implement Organisation schema on your homepage (takes under an hour)
3. Create a careers FAQ addressing progression opportunities — retail's biggest perception gap

Browse retail employer rankings on the UK Index.

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How Often Are These Benchmarks Updated?

We update industry benchmarks monthly based on continuous audit data. As more employers implement structured data and improve their AI visibility, these averages will shift.

Track your progress:

• Run a free audit to see your current score
• Compare against your industry average above
• Implement the recommended actions for your sector
• Re-audit in 30 days to measure improvement

View detailed rankings:

• UK AI Employer Visibility Index — searchable by industry, size, and location
• Sample audit report — see the level of detail in a full assessment

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Source: OpenRole audit data, March 2026. Based on 517 UK employers audited between January and February 2026. Industry classifications follow ONS SIC codes. Benchmarks are updated monthly as new audit data becomes available. Individual employer scores available through OpenRole's free audit tool.