AI chatbot for executive recruiters: qualifies search briefs and candidate inquiries
Stop fielding every "do you do X?" call yourself. SleekAI handles candidate inquiries, qualifies new search briefs, and routes by practice area, using OpenAI, Anthropic, Google, or OpenRouter with your own API key.
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Executive search inquiries split into two completely different conversations
Every search firm site gets two flavours of inbound: candidates looking for the next CXO role and clients looking to fill one. They need wildly different answers, and a single "Contact us" form treats both the same. SleekAI separates the two upfront, in plain language, so the partner only sees the conversations that need partner attention.
The bot reads your practice areas, your active retained mandates (where listed publicly), your fee model, and your case studies from WordPress (post types, ACF fields, taxonomies, the data-source wizard handles each). When a CFO candidate asks about board-level finance roles, the bot describes which sectors your firm covers, asks about location and stage preferences, and captures the candidate profile cleanly. When a board chair asks about retained search for a new CEO, the bot confirms practice area fit, quotes the typical retainer structure, and books a scoping call.
BYO API key means OpenAI, Anthropic, Google, or OpenRouter and you pay only your provider. Conversation logs stay in WordPress with model name, token usage, and page URL, so the firm can see which practice pages generate which inquiries. The bot is the qualifying conversation a senior associate would run if they had time to staff the website 24/7.
Workflow
How SleekAI handles executive search inquiries
Split candidate from client
Ground in practice areas
Qualify by sector and scale
Hand off the real ones
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A typical executive recruiter conversation
Comparison
Generic chatbot vs SleekAI for executive recruiters
Generic chatbot
- Can't distinguish a candidate from a hiring client
- Doesn't know your practice areas or active mandates
- Misses the difference between retained and contingent search
- Books calls without confirming sector fit or fee model
- Can't surface case studies by sector or function
SleekAI chatbot
- Splits candidate and client conversations on the first message
- Reads practice areas, fee model, and case studies from your CMS
- Filters case studies by sector and function taxonomy
- Qualifies retainer scale, location, and timeline
- Logs every conversation with page URL and model used
Features
What SleekAI gives you for Executive recruiters
Candidate or client
First-message intent routing splits the two pipelines so a candidate asking about CFO openings sees a different track from a board chair asking about a CEO search.
Practice-area aware
Reads your practice areas (SaaS, fintech, healthcare, industrial) from your services pages and qualifies each conversation against the firm's actual focus, not a marketing wishlist.
Sector-matched proof
When a SaaS chair asks about CEO placements, the bot surfaces SaaS CEO case studies. When a healthcare board asks, it surfaces healthcare. Taxonomy filter, not one long list.
Use cases
Where search firms use SleekAI
Search brief qualification
Hiring clients describe scale, sector, timing, and stakeholders in chat. The scoping call walks in with the search shape already understood, not with you asking the basics in minute one.
Candidate intake
Candidates submit profiles in a structured way: function, sector, location, comp range, current role. The bot routes by function and adds them to the talent database with full context.
Practice-area proof
Board members asking for proof get sector-matched case studies pulled by taxonomy. The firm's reputation in the relevant practice is front-and-centre, not buried six clicks deep.
The bigger picture
Why a search firm site needs intent-aware routing
Executive search is a relationship business that happens to need a website. The website's job is not to close a placement; it is to ensure the partner only spends time on conversations that need partner time. That sounds simple but it is structurally hard because two completely different audiences land on the same page: candidates who want to be considered for senior roles, and hiring clients (boards, CEOs, CHROs) who need to launch retained searches.
A static contact form treats both the same and the partner ends up triaging the inbox by hand. A chatbot that splits the two on the first message and then runs the right qualifying conversation for each side replaces the entire triage layer. For client inquiries, the bot confirms practice-area fit, surfaces sector-relevant case studies, captures search shape (scale, location, stakeholders, timing) and books a scoping call only when the brief is real.
For candidate inquiries, the bot captures function, sector, current role, and comp range cleanly, routes the profile into the talent database, and points to relevant active mandates where they exist. Neither track wastes the partner's time on the procedural work, and both leave the visitor with a better experience than a six-field contact form would. The case-study matching layer is the multiplier.
Most search firms accumulate a deep proof library across sectors and functions, and a visitor will not dig through every placement. A bot that surfaces SaaS CEO proof to a SaaS chair, healthcare CFO proof to a healthcare board member, dramatically compresses the consideration cycle. And because the conversation logs sit in WordPress, the firm gets a structured record of which practice pages generate which kinds of inquiries, which is invaluable when planning the next year's marketing investment.
Questions
Common questions about SleekAI for Executive recruiters
Yes. Practice areas live on your services pages or as a custom post type, and SleekAI pulls them into the system prompt as context. The bot confirms practice-area fit before booking anything, so a hiring client asking about a niche outside the firm's coverage gets a polite "that's outside our focus, here's a peer firm you could reach out to" rather than landing on the calendar as a wasted call.
 Candidates get their own track: the bot captures function, sector, location, current role, and comp range cleanly, then either points them to relevant active mandates (where publicly listed) or adds them to the talent database with full context. Most firms run a Zapier or webhook trigger that pushes candidate intake into Invenias, Clockwork, or whichever ATS the firm uses, so the candidate record appears with profile already shaped.
 Yes, when the firm wants it to. Retainer scale (one-third structure, fixed-fee, or hybrid) lives in postmeta or on a services page, and the bot quotes the structure plus the typical engagement length for the practice area. Many firms prefer to keep specific dollar figures off the public bot and only quote ranges; the system prompt accepts that constraint and the bot defaults to "we typically run a one-third retainer; specific scale depends on the role" instead of a number.
 Confidential mandates stay off the bot entirely. Public retained searches can be surfaced if the firm has them listed on the site (some do, most don't). For confidential searches, the bot is configured to say "we have an active mandate at that level but we can't discuss it publicly; the partner will follow up" rather than pretending no relevant search exists. Conversation logs stay on the firm's WordPress install, not a third-party SaaS.
 Yes. Case studies live as a custom post type with sector and function taxonomies. SleekAI filters by taxonomy, so a SaaS CFO inquiry surfaces SaaS CFO placements and a healthcare CEO inquiry surfaces healthcare CEO placements. For long case study libraries, the OpenAI Files vector store handles retrieval, so the bot picks the most relevant two or three rather than listing every search the firm has run.
 SleekAI logs every conversation in WordPress, and search firms typically use a Zapier or webhook trigger to push transcripts into Invenias, Clockwork, Bullhorn, or HubSpot. Candidate inquiries route to the ATS as profiles; client search briefs route to the CRM as opportunities. The conversation summary plus the qualifying answers end up as a fully-shaped record so the partner walks into any follow-up with the full picture.
 BYO API key means OpenAI, Anthropic, Google, or OpenRouter, your choice. For most search firm sites a mid-tier model handles the qualifying conversation, since the bot mostly retrieves practice-area context and asks shaped questions. If the firm wants more nuanced handling of senior candidate inquiries (where tone matters more than retrieval), a stronger model is worth the spend, and token usage is logged per conversation so the cost picture is clear.
 Within limits. The bot can take a basic profile (function, sector, comp range) but is configured not to discuss specific candidates by name, specific compensation negotiations, or any matter that should sit with a partner. Sensitive conversations get routed to a partner with a same-day SLA rather than continued in chat. That discipline is what makes deploying AI on a search firm site safe rather than reputation-damaging.
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