Yes. Add your writers as a custom post type with fields for industry specialty (tech, healthcare, finance, government, academic), seniority focus (entry, mid, executive, C-suite), years of experience, and previous-role background. The bot reads those as context and recommends the best-fit writer when the prospect describes the target role. The matchmaker stays in control of the final assignment, but the bot does the first-pass filtering. If a writer is at capacity, mark them as such in postmeta and the bot stops recommending them automatically.

Each package gets its own page with deliverables, page count, and pricing. The bot reads them and recommends the right one based on the prospect's career level, target role, and salary band. Entry-level packages focus on internships, projects, and transferable skills. Mid-career packages focus on quantified outcomes and ATS optimisation. Executive packages include a longer document, board-bio variants, and often a LinkedIn rewrite. Federal and academic packages have their own structures and route to specialists from your team.

Most resume buyers benefit from a coordinated resume-plus-LinkedIn rewrite because recruiters often check LinkedIn before the resume. A bundle that surfaces at the moment of resume quote, with a published discount, converts much better than a separate upsell six weeks later. SleekAI presents the bundle once with the math (typically saves $50-150 versus separate purchases) and lets the buyer decide. The bot does not push or repeat the offer if the buyer declines.

Yes, when you have those specialty services. Federal resumes (USAJOBS) require detailed work-experience entries with hours per week, salary, and supervisor contact, plus KSAs or specialised experience statements. Academic CVs require publications lists, grants, and teaching dossiers. Medical CVs include rotations, board certifications, and procedures. The bot routes those to specialists from your team's profile pages and quotes the specialty rate, which is typically higher than the general-package rate because the formats are more demanding.

Yes, with a career-changer service page. Career-changer resumes need different framing than direct-industry candidates because the prospect's most recent role does not match the target role. The bot captures the pivot direction (industry change, function change, or both), the transferable skills, and the timing, then routes to a writer who specialises in pivots. Career-changers often also need a cover letter strategy or networking script, which the bot can surface as add-ons if you offer them.

Yes, when you tell it your floors in the system prompt. If you do not serve C-suite executives, do not handle federal resumes, or do not write for certain industries, the bot says so politely and points the prospect to a directory or partner referral. Some prospects also have unrealistic timelines (resume in 24 hours for a Director-level role) that the bot can surface as 'we can do an emergency rush but here's the surcharge', which lets the buyer decide informed rather than receive a quote four hours later.

Conversations stay on the firm's WordPress install, never on a third-party SaaS. The system prompt instructs the bot to capture career-search metadata (target role, industry, timeline, salary band) rather than detailed work history or company names that the prospect has not disclosed publicly. The detailed work history comes through the secure intake worksheet after the consultation is booked, never the chatbot window. This matters for senior executives who are confidentially searching while still employed.

Hand-off is via Calendly, Acuity, or any hosted scheduler, and CRM integration runs through Zapier or webhook on the conversation-saved event. The bot does not write directly to HubSpot, Pipedrive, or a niche resume-writer CRM, it routes the prospect to a hosted intake and your existing automation captures the lead. That separation keeps the architecture clean and avoids a Sleek-hosted middleware your operations team would have to maintain.