A homeowner with a tired front yard wants to know whether you charge for a design, what an install ballpark looks like, and how booked you are through the season. A generic chatbot collects a name and tells them someone will reach out. SleekAI reads your design fee, your install rate ranges, and your maintenance plans from WordPress so the visitor gets oriented to your scope before they pick up the phone.

The example chat shows the qualifying pattern. A front yard refresh with new beds and a flagstone walkway gets framed honestly: a $450 design fee credited back if you install, install ranges from $8,000 to $18,000 depending on plant size and hardscape scope, current install lead time runs four to six weeks, and the spring queue closes mid-April. The bot is not trying to quote the job down to the dollar; it is qualifying the budget, the timing, and the scope so the designer's first site visit is a productive one.

Maintenance inquiries route differently. A customer who wants weekly mowing and seasonal cleanup gets pushed to the maintenance plan flow with the per-cut rate, biweekly option, and fall cleanup price. Design-build inquiries get pushed to a discovery flow. The conversation, the scope, and any photos uploaded all save into WordPress against the lead record, so the designer walks into the consultation with context instead of a five-line voicemail.

Design-build landscaping is a long-cycle sale, and the designer's calendar is the bottleneck. Every site visit that turns out to be a $500 budget for a $20,000 project is a lost morning, and every install-only inquiry funneled into a design queue is a customer wasted on the wrong flow. A generic chatbot that books "a landscape estimate" without qualifying scope or budget burns through site visits and produces conversion rates that look ugly in any CRM report.

Scope-aware intake matters because the right next step depends on what the customer actually wants. Someone with a sketch from another landscape architect needs install-only review, not a design consultation. Someone with a maintenance need needs the per-cut rate, not a $450 design fee.

Someone with a tired front yard and a real budget needs the design consultation framed honestly, with the credit-back math made explicit so they understand they are paying for a deliverable, not buying a meeting. SleekAI reads your published service tiers, your seasonal queue, and your maintenance menu straight from WordPress so the conversation matches what your studio manager would say on the phone. Customers who chat with a bot that routes them correctly land in the right intake flow on the first try, which means the designer's site visits go to real projects, the install crew rolls onto jobs that were qualified in advance, and the maintenance calendar fills in March instead of in May.