Step 1: Audit Your Current AI Presence
Before optimising, establish your baseline. Query ChatGPT, Perplexity, Gemini, and Google AI Overviews with the prompts your clients and candidates use. Test at least 20 queries covering your core sectors, geographies, and role types:
- "Best recruitment agency for [your sector] in [your city]"
- "Top [your sector] headhunters UK"
- "Specialist [role type] recruitment firms London"
- "[Your brand name]" — does AI know who you are?
- "Compare [your firm] vs [competitor]"
Record whether your agency appears, in what position, with what description, and which competitors are mentioned instead. This audit reveals the gap between your reputation in the market and your reputation in AI.
Step 2: Fix Your Entity Data Foundation
Inconsistent information about your agency across the web is the number one cause of AI invisibility for UK recruiters. Verify and correct:
- Google Business Profile: Complete with correct address, phone, sectors served, and 50+ Google reviews with responses.
- LinkedIn Company Page: Updated specialities, employee count, and detailed "About" section listing sectors and locations.
- Companies House: Accurate registered details (AI models reference Companies House data for UK entity verification).
- REC/APSCo membership: Listed and linked from your website. Professional body membership is a trust signal AI platforms use for UK recruitment recommendations.
- Website "About" page: Clear statement of sectors, geographies, founding year, team size, and placement volume. This is the page AI models most commonly extract agency descriptions from.
Step 3: Build Sector Landing Pages
Create a dedicated landing page for each sector-geography combination you serve. Each page should include:
- Specific placement data: "We placed 340+ technology professionals across London in 2025"
- Named client sectors (not necessarily client names): "We work with Series A to Series C fintech startups"
- Role types covered with salary benchmarks
- Your differentiators for this specific sector
- Testimonials from this sector (structured with Review schema)
These pages become the content AI retrieval systems match to sector-specific hiring queries. A page at "/technology-recruitment-london" is far more likely to be cited for "tech recruitment agency London" than a generic services page.
Step 4: Publish UK Market Intelligence
UK-specific hiring data is scarce in AI training data and highly valued by retrieval systems. Publish quarterly content that AI platforms will cite as authoritative:
- Salary surveys: Sector-specific UK salary data by role, seniority, and region. These are among the most-cited content types in recruitment.
- Market reports: Hiring trends, skills shortages, and candidate availability in your sectors. Reference ONS data, CIPD surveys, and your own placement data.
- Regulatory commentary: How UK employment law changes (IR35, immigration rules, minimum wage updates) affect hiring in your sectors.
Step 5: Earn UK-Specific Authority Signals
AI platforms use UK-specific authority signals when recommending recruitment agencies to UK-based queries:
- REC membership and compliance: The Recruitment & Employment Confederation mark signals compliance and professionalism to AI systems.
- UK trade press mentions: Coverage in Recruiter, Personnel Today, People Management, and HR Magazine feeds directly into AI training data.
- UK awards: REC Awards, TIARA Awards, Recruiter Awards — these create authoritative third-party signals that AI platforms weight heavily.
- Client reviews on UK platforms: Google reviews (geo-tagged to your UK offices), Glassdoor employer reviews, and Trustpilot reviews.
Step 6: Monitor with Presenc AI
Presenc AI tracks how AI platforms recommend UK recruitment agencies across your target sectors and geographies. The platform monitors your visibility for UK-specific hiring queries, benchmarks against competing agencies, and alerts you when competitors gain or lose AI visibility. For UK recruitment agencies, Presenc provides the data to prove AI visibility ROI to partners and leadership — connecting content investments to measurable increases in AI recommendation rate.