AI Chatbot for Recruiting
Career pages get the same questions in Slack and email every week - is the role remote, what's the salary band, what's the stack. SleekAI reads your job posts and benefits page so candidates self-qualify and apply with conviction.
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Help candidates self-qualify
A senior engineer in Berlin lands on your careers page on a Sunday evening. They want three things in two minutes: confirm the Senior Backend role is remote-friendly from the EU, see the salary band, and check the stack. A static job description usually delivers two of those - and forces a recruiter email for the third. SleekAI delivers all three in one chat exchange, with the salary band quoted exactly as published and the stack pulled from the team's engineering blog.
The bot reads each job posting in full, including level, location policy, and equity range. It also pulls from the benefits page, the team blog, and culture content - so when a candidate asks about working hours, parental leave, or the interview process, the answer reflects what you've actually written rather than a generic recruiter script. When the candidate is ready, the bot links straight to your ATS application URL with the right job pre-selected.
For larger companies, multibot scopes one assistant per department - engineering, design, sales - each with its own tone and source set. Conversation logs surface what candidates actually ask, which is usually the most honest signal about which parts of the job description are missing or unclear.
Workflow
Help candidates self-qualify before they apply
Index the careers page
Configure ATS handoff
Scope by department
Review the questions
Try it now
Recruiting chatbot in action
Comparison
Why talent teams pick SleekAI
Generic chatbot
- No knowledge of individual roles
- Can't quote salary or benefits
- Same script for every department
- Doesn't link to ATS application
- Per-candidate pricing
SleekAI chatbot
- Reads each job posting and benefits page
- Answers role-specific salary and stack questions
- Links straight to your ATS application
- Multibot - one bot per department
- Logs candidate questions for hiring managers
Features
What SleekAI gives you for Recruiting
Role-aware answers
SleekAI reads each job posting in full - salary band, level, location policy, equity, on-call expectations - so its answers track the listing rather than generic recruiter copy.
Culture context
Pulls from your team page, engineering blog, and culture deck so candidates get a richer picture than a static job description normally communicates.
Application handoff
When candidates are ready, the bot links straight to your ATS application URL with the right job pre-selected - removing the search-and-click friction at peak intent.
Use cases
How talent teams use SleekAI
Role discovery
Candidates describe what they want - 'staff-level backend, remote, no on-call' - and SleekAI matches them to the open roles that fit across the whole company.
Benefits and salary
Answer salary band, equity, parental leave, and benefits questions consistently from your published policies - no recruiter triage needed for routine numbers.
Remote and visa Q&A
Time zones, visa sponsorship, work-from-anywhere policy, country-of-employment requirements - all answered from your existing content rather than guessed.
The bigger picture
Why a careers chatbot is a hiring-funnel question
Hiring funnels leak hardest at the careers page. A motivated senior candidate gives you maybe two minutes before deciding whether to apply, switch tabs, or close the laptop. Static job descriptions assume the candidate will read every line and infer answers to questions you never explicitly addressed - is the equity vesting standard, do you sponsor visas in the EU, what's the on-call rotation.
Most candidates don't ask. They walk away with the unaddressed question as a low-grade reason not to apply, and you lose them silently. A chatbot that reads the role, the benefits, the culture content, and the team page surfaces those answers on demand.
It also creates a feedback loop that static pages can't: the questions candidates ask in chat are the questions your job description should answer better. Companies that publish salary bands publicly - increasingly mandatory for legal compliance - benefit twice, because the bot can quote them exactly without forcing a recruiter to act as a price-discovery interface.
Questions
Common questions about SleekAI for Recruiting
SleekAI reads your job posts - whether they live as WordPress posts, are embedded from your ATS, or are mirrored via API - and links to the ATS application page with the job pre-selected. It doesn't replace the ATS; it sits in front of it as the candidate-facing layer. The application, interview scheduling, and offer flow all stay in the system your team already uses.
 Only if you've published them. Many companies now publish bands for legal compliance - California, Colorado, New York, several EU member states under the EU Pay Transparency Directive. SleekAI quotes those bands exactly as written. If you haven't published bands, the bot defers ('I can connect you with the recruiter for compensation details') rather than inventing numbers.
 Yes - multibot lets engineering, design, sales, and operations each have their own assistant with department-specific tone, content scope, and starter questions. An engineering bot can talk stack and on-call; a sales bot can talk quota and territory. Candidates get more relevant answers and your hiring leads see questions sorted by team automatically.
 It can capture qualifying info - years of experience, location, current role, eligibility to work - but actual hiring decisions should remain with humans. We recommend using the bot to inform recruiters rather than to filter automatically: hard filters in chatbots have a poor track record on bias, and the legal exposure isn't worth a marginal time saving.
 Conversations live in your WordPress database under your control. Using your own OpenAI API key with the standard API terms means candidate data is not used for model training by default. Set retention policies to match your hiring-data policy - typically aligned with your ATS retention - and document the bot in your candidate privacy notice.
 Yes - candidates writing in German, French, Spanish, Mandarin, or any common language get answers in that language, with role details translated on the fly. For international hiring this is a real lever - a candidate gets fluent answers in their first language about a role advertised in English, which materially shifts who applies.
 Configure the system prompt to defer sensitive questions to a human recruiter rather than improvise - the model won't know your funding runway or current strategy, and a wrong answer is worse than a polite 'the recruiter can speak to that on the call'. Honesty about the bot's limits is more reassuring to a senior candidate than a confident guess.
 We recommend not. Letting the bot write candidate-facing application material crosses a line that hiring teams generally regret - it muddies signal in the funnel, candidates assume bias if the same template appears repeatedly, and the legal posture is awkward. Keep the bot scoped to information delivery and let candidates write their own application.
 Pricing
More than 1000+
happy customers
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