The WP Job Manager Applications add-on stores every application as a job_application post with postmeta like _applicant_name, _applicant_email, and _application_message attached to the parent job_listing. Candidates ask the same questions over and over: what file types are accepted, whether a cover letter is required, how to update an application, and how long until they hear back.

SleekAI maps those fields into the chatbot prompt at request time, so the answer about file types comes from the actual upload rules configured for the listing, not from a guess. For logged-in candidates, the bot can also reference their own applications, like which jobs they have applied to and the current status saved in postmeta. Recruiters get an admin-side bot that can summarise today's applications across listings.

Generic bots fail here because the application data model is split across two custom post types and several meta keys, and the upload rules vary per listing. Without that mapping, the bot answers with the same vague paragraph for every job. SleekAI's data sources turn that mapping into a few clicks, and display conditions keep candidate and recruiter assistants properly scoped.

Job boards lose candidates at two specific friction points. The first is the pre-application stage, where a small uncertainty about file types, cover-letter requirements, or remote eligibility makes a strong candidate close the tab. The second is the post-submit silence, where a candidate hears nothing for two weeks and assumes the role has been filled.

A chatbot that cannot read job listing or application data cannot help with either friction point. WP Job Manager and the Applications add-on store everything the assistant needs as standard WordPress custom post types and postmeta. SleekAI maps those into the chatbot prompt at request time, so the bot answers with the actual file types and the actual status the database holds.

Multibot mode means a candidate-facing bot on the listing page and a recruiter-facing bot in the dashboard can coexist without leaking data between them. Conversation logs reveal which listings generate the most questions, which is usually a sign the listing copy itself needs to be sharper. Bring-your-own-key keeps cost predictable.