Social media retainers stall in the same conversation every time: a prospect needs to know whether the agency has real proof on the specific platforms they care about, what a monthly deliverable bundle looks like, and how the team handles paid versus organic. The case-study grid often groups work by client logo rather than platform, which makes that first question almost impossible to answer on a static page. SleekAI reads case studies, platform expertise pages, and service tiers, then answers "have you scaled a brand on TikTok" with specific projects and outcomes.

The bot pulls from wp_posts, ACF fields, and custom taxonomies via the data-source wizard. Tag case studies by platform, deliverable type, and industry, and the bot can filter by any combination. A prospect on the TikTok-focused landing page gets answers scoped to TikTok proof points; a prospect on the LinkedIn B2B cluster gets the LinkedIn-relevant retainers and case studies, all using SleekAI's display conditions to route per URL.

Pre-qualification happens in conversation. The system prompt encodes the minimum retainer, the platforms the team does and does not service, and the typical content cadence per tier. Off-fit prospects get a polite no; qualified leads book a discovery call with the transcript attached. Conversation logs include model name, token usage, and page URL so the agency can audit which platform clusters actually convert and tune the prompt accordingly.

Social media retainers are decided on platform proof more than on brand fit. A DTC brand manager weighing three agencies for a TikTok program is not asking whether the team is competent in general; they are asking whether the team has actually scaled a brand on TikTok in their category in the last 18 months. The static portfolio grid is bad at answering that.

Most agency sites group case studies by client logo, not by platform, and the prospect has to scroll, infer, and triangulate to figure out which projects are TikTok versus Instagram versus paid social. Many give up and move to the agency whose site lets them ask the question directly. A bot that reads every case study and filters by platform tag closes that loop in two messages.

Pre-qualification by retainer size is the second piece. Social retainers span an enormous range, from 3,000 USD a month for a small organic-only program to 40,000 USD a month for an enterprise multi-platform program with paid layers. Filtering out prospects under the agency's minimum, or above the team's current capacity, before the call books, raises close rate on calls that do happen and keeps the new business team focused on the engagements that match the agency's shape.

The transcript is the slow compounding payoff. Reading a week of conversations tells the agency which platforms inquire most, which deliverable bundles prospects ask about, and which case studies actually pull weight on the cluster pages. That feedback loop is hard to get from contact form submissions, where the prospect's real question gets compressed into a one-line subject before anyone responds.