AI Talent Attraction Launchpad

RMG provides the AI Talent Attraction Launchpad for employers, talent teams and recruitment businesses that want a practical AI talent attraction programme. It combines an AI Visibility Health Check, an organic action plan and live paid audience testing, so you can improve long-term visibility while testing candidate demand now.

What is the AI Talent Attraction Launchpad?

The AI Talent Attraction Launchpad is an AI recruitment marketing programme from RMG that helps organisations improve how they appear in AI-driven candidate journeys, while also testing live demand through paid activity. It is designed for teams that want a practical starting point, not a large transformation programme from day one.

This is a two-speed approach. First, we assess your current AI visibility and set out an organic action plan. Then we run two focused paid audience tests over six weeks, putting your employer brand in front of priority candidate groups in the places where they are already asking career questions. The aim is to build evidence, not just activity, using application behaviour and candidate quality to inform what you do next.

Who it is for

• Employers and in-house talent teams that want a clearer AI talent attraction strategy before making bigger changes.
• Recruitment and search firms looking to test conversational AI recruitment advertising with defined target audiences.
• PE-backed and scaling businesses that need practical evidence to support future recruitment marketing decisions.
• AI-enabled recruitment teams that want an external review of visibility, audience approach and early market response.
• Organisations hiring into areas such as technology, engineering, data, early careers, professional services or career-change routes.

What is included

• AI Visibility Health Check: A review of your current presence across the areas that influence how candidates discover and assess opportunities through AI-led search and conversational journeys.
• Organic action plan: A clear set of prioritised recommendations to improve long-term visibility, strengthen employer brand signals and support better candidate discovery.
• Audience prioritisation: Selection of two priority audiences based on the strongest recruitment opportunities and the groups most likely to engage with conversational AI before they apply.
• Paid audience test design: Planning for two focused live tests, including channel approach, message direction and how each audience will be assessed.
• Conversational AI recruitment advertising: Paid activity designed to place your employer brand in relevant environments where candidates are already researching roles, careers and next moves.
• Six-week live test period: A contained test window that gives you real market feedback without requiring a major long-term commitment from the outset.
• Measurement framework: Assessment based on application behaviour and candidate quality, rather than relying only on click volume or surface-level engagement.
• Decision-ready findings: A practical view of what improved, what attracted interest and what this means for your next investment decision in AI talent attraction.

How we work

• Discovery: We start by understanding your hiring priorities, target audiences, current recruitment marketing position and where AI may already be influencing candidate behaviour.
• Visibility review: We complete the AI Visibility Health Check and identify the most important organic actions to improve how your brand and opportunities show up.
• Test planning: We agree the two priority audiences, shape the paid test approach and define what meaningful success looks like for each audience.
• Live activation: We run the two paid audience tests over six weeks, keeping the work focused, practical and aligned to the agreed hiring objectives.
• Evaluation: We review the outcome through application behaviour and candidate quality, then set out the evidence and recommended next steps.

Why RMG

Recruitment Marketing Group (RMG) is a specialist marketing consultancy helping employers and recruitment businesses attract talent, build stronger brands, drive growth and transform how they work.

Founded in 2011, we bring senior, hands-on experience across recruitment marketing, employer brand, marketing and growth strategy, media, job boards, HR tech, CRM and AI - combining strategic thinking with practical experience of what actually works.

Through our industry network and specialist partners, we can bring together the right expertise for each project - from strategy and creative to media, technology, automation and AI. Whether you need senior strategic support, an independent review or a specialist team to deliver, RMG can scale around what you need.

Frequently asked questions

What makes this different from a wider AI transformation project?

The Launchpad is a contained starting point. It combines an AI Visibility Health Check and organic action plan with two live paid audience tests over six weeks. That gives you practical evidence about AI talent attraction without committing to a broader transformation programme from the start.

Who should use this AI recruitment marketing programme?

It is suited to employers, in-house talent teams and recruitment businesses that want to understand how AI is affecting candidate discovery and response. It works particularly well for organisations with clear hiring priorities and a need to test audience demand before making larger recruitment marketing decisions.

What audiences can be tested in the programme?

RMG selects two priority audiences based on your strongest recruitment opportunities. Typical examples include technology, engineering, data, early careers, professional services and career-change candidates. The focus is on audiences most likely to engage with conversational AI before they apply.

How are results measured?

The programme is measured on application behaviour and candidate quality, not just clicks. The aim is to understand whether the activity is attracting the right people and creating useful evidence for future decisions, rather than reporting surface-level campaign activity alone.