The internet is packed with content — but finding exactly what you need isn’t always easy, even when you know what you’re looking for.
Now imagine you’re the world’s go-to resource for visitor attraction professionals — covering everything from theme parks and aquariums to museums and immersive experiences. With years of content and thousands of articles, tracking down the right story or the perfect case study can become a real challenge.
The old search worked — but not well enough. Users wanted instant, context-aware results.
So Blooloop did what smart innovators do: they teamed up with Zazmic to reinvent search.
Turning Search into a Conversation
Blooloop wanted to make finding information feel as easy as talking to someone who already knows what you need.
So Zazmic built BlooBot, a conversational assistant powered by Dialogflow, Vertex AI, and Cloud Run — all working together to make content discovery feel natural and human.
Instead of keywords, BlooBot understands intent.
Ask it, “What are the latest trends in themed entertainment?”
It’ll answer in plain language — and then recommend related articles, interviews, or case studies you didn’t even know existed.
How We Engineered an AI Assistant in Just Six Sprints
With support from Google’s sales team (who helped secure cost efficiencies), Zazmic moved fast: six sprints from concept to deployment. That’s enterprise-grade AI, shipped in weeks.
Under the hood:
- Dialogflow powers the conversation engine. It’s the heart of BlooBot’s ability to understand natural language. Dialogflow interprets what users are asking, identifies their intent, and determines how to respond accurately, even with ambiguous or complex queries.
- Vertex AI handles training, retrieval, and personalization. Vertex AI is where the heavy lifting happens. It trains machine learning models on Blooloop’s vast content library, retrieves relevant information in real time, and personalizes recommendations based on user behavior. Essentially, it ensures that BlooBot doesn’t just respond — it responds smartly and contextually.
- Cloud Run makes it all scalable, efficient, and lightweight. Cloud Run allows BlooBot to run reliably under any traffic load. It automatically scales up when many users interact at once and scales down when traffic is low, keeping performance smooth and costs optimized.
Every interaction teaches BlooBot more about what users want — turning Blooloop’s deep content archive into an ever-learning, ever-improving experience.
The Results Speak (Literally)
When BlooBot launched on July 24, 2024, users stopped searching — and started talking.
Engagement grew. People spent more time discovering related articles. And those conversations started converting. Blooloop saw real business outcomes: user satisfaction up, inquiries turning into leads and sales.
Why This Matters for Media Tech
This project shows how AI-driven interaction is reshaping content discovery by evolving search.
Where traditional search ends, conversational AI begins. And the next wave of web experiences will be conversational. At Zazmic, we see this as the new UX frontier.
With the right stack and seamless cloud deployment — any content-heavy platform can evolve into a living knowledge system.Book our free AI consultation to learn how to bring this to your platform.
