Hey AskSpot community 👋 In this Live Help Session, we built the AI Marketing Workflow Builder (Canvas) — a powerful AI tool designed to help users turn their marketing ideas into fully structured, buildable workflows inside AskSpot. Instead of starting from scratch, this tool guides users through defining their goal, audience, and offer — then generates a complete system including strategy, prompts, sources, channels, and step-by-step build instructions. This makes it much easier to build consistent, high-converting marketing systems while maximizing AskSpot’s full capabilities. Perfect for agencies, SaaS founders, course creators, and anyone building client systems or marketing workflows inside AskSpot. Here’s what we covered: • 00:24 – Intro to Office Hours + overview of AskSpot tools • 00:53 – Build overview: AI Marketing Workflow Builder use case • 02:15 – Creating the Canvas and setting up sources • 05:01 – Configuring AI prompt, logic, and guardrails • 11:43 – Testing the builder with a real marketing scenario • 13:53 – Reviewing generated workflow, prompts, and outputs Check the comments for your duplicate link. Questions? Drop them here or email [email protected]

Hey AskSpot community! We’re going live to build an AI Marketing Workflow Builder — a powerful agent that helps users turn their marketing ideas into fully structured, high-converting workflows inside AskSpot. Instead of guessing how to connect tools or structure your funnel, this AI will take your goal (lead gen, nurturing, sales, onboarding) and generate a complete setup — including prompts, sources, channels, and step-by-step build instructions. This is perfect for anyone who wants to: • Build complete marketing systems faster • Turn ideas into structured workflows • Improve conversions with better AI setups • Maximize AskSpot’s full capabilities Perfect for: • Agencies • SaaS founders • Course creators • Local businesses • AskSpot users building client systems Join us live at 11am ET — no registration needed: https://us02web.zoom.us/j/81360629264?pwd=gvPiQhNjk4qERxsitSqdKz2ikcwg7n.1 Questions? Drop them here or email [email protected]

Hey AskSpot community 👋 In this Live Help Session, we built the Chiropractic AI Assistant (Chatbot) — a conversational AI tool designed to help chiropractic clinics answer patient questions, guide visitors, and streamline appointment bookings. We also kicked things off with a walkthrough of AskSpot’s core tools so you can better understand when to use Chatbots, IntelliForms, Spotlight, and Canvas depending on your use case. Instead of patients digging through a website or waiting on a response, this tool helps patients get answers, understand services, and move toward booking a consultation — while capturing the right information in a structured way. Perfect for chiropractic clinics, physiotherapy centers, and local healthcare providers looking to automate patient engagement and improve lead quality. Here’s what we covered: • 00:24 – Intro to Office Hours + overview of AskSpot tools • 01:18 – Build overview: Chiropractic clinic use case • 02:55 – Creating the chatbot and setting up the structure • 09:29 – Configuring AI prompt, tone, and conversation flow • 10:47 – Adding consultation form, call button, and Q&A channels • 14:46 – Testing the assistant and refining CTA behavior Check the comment section for the duplicate link. Questions? Drop them here or email [email protected]

Hey AskSpot community 👋 In this upcoming Live Help Session, we’ll be building the AI Chiropractic Intake & Pain Assessment Assistant — a conversational tool that helps clinics guide potential patients, understand their pain points, and move them toward booking an appointment. Many chiropractic clinics lose leads because patients aren’t sure if their issue can be treated, feel hesitant to call, or don’t fully understand their symptoms. In this session, we’ll build a tool that reduces that friction and captures more qualified bookings. Instead of leaving the site or guessing, users will be guided through a structured conversation about their pain (location, severity, duration, triggers, lifestyle). The AI will then help them understand possible causes (non-diagnostic), recommend services, answer common concerns, and direct them to book an appointment. Perfect for chiropractic clinics, wellness centers, physical therapy clinics, and agencies building healthcare lead-gen tools. Here’s what we’ll cover live: • Designing the conversational intake flow • Capturing pain points and patient context • Structuring AI responses for non-diagnostic guidance • Recommending services based on user inputs • Guiding users toward booking an appointment You’ll walk away with: • A working chiropractic intake assistant • A repeatable framework for patient qualification • A tool that increases bookings and reduces friction • A better way to guide patients before consultations Join us live at 11am ET — no registration needed: https://us02web.zoom.us/j/81360629264?pwd=gvPiQhNjk4qERxsitSqdKz2ikcwg7n.1 Questions? Drop them here or email [email protected]

Hey AskSpot community 👋 In this Live Help Session, we built the Daycare Enrollment Assistant (Spotlight) — a conversational AI tool designed to help daycare centers streamline parent inquiries and guide families toward the right next step. We also kicked things off with a walkthrough of AskSpot’s core tools so you can better understand when to use Chatbots, IntelliForms, Spotlight, and Canvas depending on your use case. Instead of messy back-and-forth conversations, this tool helps parents get answers, explore programs, and move toward booking a tour or starting enrollment — while capturing the right information in a structured way. Perfect for daycare centers, childcare providers, and agencies looking to qualify leads and improve enrollment workflows. Here’s what we covered: • 00:34 – Intro to Office Hours + overview of AskSpot tools • 06:57 – Build overview: Daycare Enrollment Assistant use case • 08:02 – Creating the Spotlight and setting up the structure • 13:28 – Configuring AI prompt, tone, and conversation flow • 18:06 – Testing the assistant and refining CTA behavior Check the comments for your duplicate link. Questions? Drop them here or email [email protected]