LiveLike Launches Genie – a Multi-Agent AI Assistant to Transform Interactive Content Workflows

New York, September 22, 2025 – Today, LiveLike is announcing the release of its new multi-agent AI assistant, a fully embedded intelligence layer within the LiveLike CMS. Designed for editorial, marketing, product, and analytics teams, the assistant enables users to create, schedule, and analyze interactive experiences – including quizzes, polls, and predictions – via natural language prompts.

This system isn’t just a tool – it’s an intelligent agent network, where each agent mirrors a distinct user persona and collaborates in real time to execute complex engagement strategies.

“This assistant goes far beyond basic prompt-to-output functionality,” said Miheer Walavalkar, CEO of LiveLike. “It’s engineered to eliminate friction between content, marketing, product, and analytics teams. That means faster time to market, greater campaign precision, and the ability to launch initiatives that were previously too complex to execute.”

Unlocking Real-Time, Multi-Team Collaboration

Historically, producing the average 30 to 40 widgets per weekend – across quizzes, polls, and campaigns – required up to 400 minutes of manual work. With the AI assistant, teams can now build and deploy the same output in under an hour, while also increasing personalization and segmentation.

What sets this system apart is agent coordination. A single prompt from a content editor can automatically incorporate marketing timing, product publishing rules, and analytics triggers – without requiring cross-team planning.

“We’ve engineered coordination as a feature, not a byproduct,” Walavalkar continued. “When the editor acts, the analyst, product manager, and marketer are already in sync – through the agents that represent them.”

Key Use Cases in Beta

The assistant is designed to serve four core user personas:

• Editors: Create and deploy polls, quizzes, and other content with a single prompt
  
• Marketers: Launch personalized, time-sensitive campaigns aligned with key events
  
• Product Managers: Automate publishing logic and remove manual QA cycles
  
• Analysts: Access live performance data and generate optimization recommendations

Agents don’t work in isolation – they share data and intent. This inter-agent coordination produces second- and third-order benefits: analysts identify high-performing segments, marketers plan corresponding activations, and editors produce tailored content without duplication or delay.

What the AI Assistant Can Do Today

• Generate and publish polls, quizzes, and prediction widgets with natural language
  
• Image-based widgets for polls and quizzes
  
• Access real-time internet data to ensure freshness and contextual relevance
  
• Analyze historical widget performance and recommend next-step actions
  
• Produce code snippets for developers embedding LiveLike functionality
  
• Support brainstorming and campaign ideation using internal LiveLike knowledge, including compliance documents and case studies

One of the most advanced and exciting features now available is personalized loyalty experiences powered by dynamic user groups. Genie can now: 

• Identify user segments based on behavior and engagement patterns
  
• Assign personalized quests and incentives
  
• Deliver campaign experiences unique to each user

Roadmap: More Formats, More Intelligence

What’s next for Genie? Even more ways to play, share, and stay engaged:

• Emoji sliders that let audiences express sentiment and intensity – such as excitement, approval, or mood – through an interactive, visual scale.
  
• Badges, leaderboards, and rewards that keep fans coming back for more.
  
• Instantly see which content hits hardest and how different audiences engage with deeper insights
  
• Enable campaign segmentation using predefined or AI-generated user groups

And this is just the start. Genie is gearing up for personalised loyalty journeys — where every fan gets their own quests, challenges, and rewards based on how they interact.

Imagine this: one user unlocks a football-themed badge, another gets a music quest, and both feel like the experience was made just for them. That’s where segmentation, personalization, and automation finally click.

Built on AWS and Designed for Scale

The assistant is built using AWS Bedrock, ensuring enterprise-grade security, data isolation, and zero model training on client data. LiveLike is actively exploring co-marketing initiatives with AWS and anticipates strategic interest in extending this tool to AWS partners through its go-to-market ecosystem.

Expanding Beyond the CMS

In parallel, LiveLike has developed and launched an MCP server that will allow external large language models  to trigger CMS functionality via API. This opens access to the assistant’s capabilities for partners who do not currently use the LiveLike CMS – such as broadcasters, sports apps, and third-party platforms.

“We believe the future of engagement is not just automated, but coordinated. That’s what this assistant enables – whether you’re a LiveLike client or part of the broader content ecosystem,” said Walavalkar.