Send Outreach That Candidates Actually Reply To.
Personalised candidate outreach drives placements. But writing individual messages for every prospect on a sourcing list takes time your team does not have. AI bridges the gap between personalisation and volume.
The Personalisation Problem
Recruitment outreach is a numbers game with a quality threshold. Generic messages get ignored; personalised ones get replies. Research from HeroHunt.ai found that well-personalised outreach emails boost response rates by approximately 30% compared to template messages. Yet the time required to personalise each message at scale creates a painful bottleneck for busy consultants.
The maths makes the challenge clear. A sourcer working a difficult vacancy might need to reach 50 to 100 candidates to generate enough interest for a strong shortlist. If each personalised email takes 10 to 15 minutes to research and write, that single vacancy consumes 8 to 25 hours of outreach effort alone. Most consultants handle multiple vacancies simultaneously, making thorough personalisation practically impossible without sacrificing something else.
The follow-up problem compounds the issue. Gem's recruiting benchmark data shows that over 60% of candidate replies come from follow-up messages rather than the initial outreach. Yet most recruiters stop after one message because they simply do not have time to maintain multi-touch sequences across dozens of candidates. The result is a systematic failure to convert warm prospects into active candidates, and placements are lost before they ever reach the shortlist stage.
~30%
higher response rate from personalised outreach emails
HeroHunt.ai, The Ultimate Guide to Email Outreach for Recruiting, 2025
60%+
of candidate replies come from follow-up messages, not initial outreach
Gem, 2022 Benchmarks for Recruiting Email Outreach
14.6 hrs/week
spent by recruiters on candidate searching and outreach
Bullhorn GRID 2025 Industry Trends Report
How AI Changes the Process
AI drafts personalised outreach messages using candidate profile data, matching the tone and content to each individual without the hours of manual research. Bullhorn found that AI-enabled firms are 86% more likely to place candidates within 20 days. For agencies ready to go beyond individual prompts, automated outreach pipelines can pull candidate data from your ATS, draft personalised sequences, and schedule follow-ups across multiple channels.
Provide the candidate context
Share the candidate profile, LinkedIn summary, or CV highlights along with the vacancy details. The AI uses this context to craft a message that references specific aspects of the candidate background.
Generate a personalised message
The AI drafts an outreach email or InMail that connects the candidate experience to the opportunity. It avoids generic phrases and focuses on specific details that demonstrate genuine research.
Create a follow-up sequence
The AI generates two to three follow-up messages with different angles, spaced appropriately. Each follow-up adds new information or reframes the opportunity rather than simply repeating the original message.
Review and personalise further
Your consultant reviews each message, adds any insights from their own market knowledge, and adjusts the tone to match their personal communication style. The AI provides the foundation; the recruiter adds the authenticity.
Track and refine
Monitor open rates and response rates across different message styles. Over time, you learn which approaches work best for specific candidate segments and feed that knowledge back into future drafts.
Try It Yourself
Paste this prompt into ChatGPT or Claude along with the candidate profile information and the job details. You can paste a LinkedIn profile summary or CV extract as the candidate context.
Example Prompt
Role: You are an experienced UK recruitment consultant who writes high-performing candidate outreach messages. Context: I am reaching out to a candidate for a [job title] role at [client company or "a confidential client"] based in [location], paying [salary range]. Here is the candidate profile: [paste LinkedIn summary, CV extract, or key details]. The key selling points of this role are: [list 2-3 reasons this role is attractive]. Task: Write a personalised outreach email and two follow-up messages. The initial email should: reference a specific detail from the candidate profile, explain why they caught your attention for this role, describe the opportunity concisely (under 100 words), and include a clear call to action. Follow-up 1 (to send after 5 days if no reply) should introduce a new angle or additional detail about the role. Follow-up 2 (to send after another 5 days) should be shorter, acknowledging their busy schedule while keeping the door open. Format: Present each message with a subject line and body text, clearly labelled as "Initial Outreach," "Follow-up 1," and "Follow-up 2." Keep each message under 150 words. Constraints: Professional but warm tone. No exclamation marks in subject lines. No phrases like "exciting opportunity" or "perfect fit." British English spellings. Do not fabricate any details about the candidate or role.
The Numbers
5+ hours
saved per week
£360+
monthly saving
Estimated based on practitioner workflows: personalising an outreach email takes 10-15 minutes manually. AI drafting reduces this to 2-3 minutes per message including review. Weekly figure assumes 30-40 outreach messages per week across multiple vacancies. Monthly cost based on £30,000 average UK recruiter salary (Indeed UK / New Millennia 2025), equating to £14.42/hour.
Frequently Asked Questions
Will candidates know the message was AI-generated?
Not if you review and personalise the output. AI generates a strong first draft, but the recruiter should always add their own voice and any details they know from market experience. The goal is to use AI for the time-consuming research and drafting, not to replace the human connection that makes outreach effective.
Does AI outreach actually improve response rates?
Personalisation improves response rates, and AI makes consistent personalisation possible at scale. HeroHunt.ai found that well-personalised emails boost response rates by approximately 30%. The improvement comes from being able to reference specific candidate details in every message rather than sending generic templates to save time.
How do I maintain my personal style when using AI drafts?
Treat the AI output as a starting point, not a finished product. Review each message and adjust the tone, add your own observations, and ensure it sounds like something you would actually send. Over time, you can refine your prompts to match your natural communication style more closely.
What about GDPR when using candidate data in AI prompts?
You are sharing personal data with a third-party processor when using AI tools. Review the provider data processing terms, use enterprise accounts where available, and avoid including sensitive personal data beyond what is necessary for personalisation. Your agency privacy policy should cover AI-assisted processing.
Can AI handle outreach for passive candidates who are not actively looking?
Passive candidates require a different approach, and AI can adapt the tone accordingly. The prompt on this page focuses on connecting the candidate profile to the opportunity rather than assuming they are job-hunting. This makes the message relevant even to someone who was not considering a move.
How does this scale for high-volume roles?
For roles requiring outreach to 50 or more candidates, the prompt approach works well when combined with a spreadsheet workflow. Extract candidate details in bulk, run the prompt for each one, and review the batch. For even higher volumes, specialist outreach platforms can automate the entire sequence with AI personalisation built in.
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