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Adinda Pryanka · · 3 min read

The AI agent helping B2B companies master chatbot search

This article is a part of Startup Spotlight, a series that features young, up-and-coming startups.

Image credit: Timmy Loen

Raymond Yeh built a content management system that failed to gain traction. During this process, he discovered an effective distribution channel using generative engine optimization. He pivoted to launch Synscribe, turning this channel into a specialized service.

😟 Problem

Around 71% of B2B stakeholders now use AI chatbots to research purchases. These companies face a highly complex buying process with multiple decision-makers.

Most businesses lack the technical knowledge to optimize content for AI-powered search, limiting their visibility as more buyers turn to chatbots for recommendations.

💡 Solution

Synscribe deploys an AI agent to help companies manage search and generative engine optimization.

  • Researches and creates content based on real market feedback.
  • Generates landing pages and blog posts tailored for AI chatbots.
  • Secures product mentions on relevant third-party websites.

Image credit: Synscribe

📊 Market size

The global market for search and generative engine optimization services is projected to grow from US$80 billion to US$140 billion by 2030. Search behavior is shifting toward AI agents performing autonomous product discovery.

🤝 Team

  • Raymond Yeh. Founder. He previously worked on national digital infrastructure projects in Singapore and later served as CTO at Bluejay Finance.
  • Jazlyn Lim. Product manager. She oversees product development and user experience.

🚀 Traction

  • Reached US$500,000 in annual recurring revenue.
  • Secured 10 active customers, including several Y Combinator startups.
  • Generated inbound lead increases for clients within one month of deployment.

🏆 Competition

The startup competes with emerging generative engine optimization platforms such as Profound, as well as traditional SEO agencies expanding into AI search.

Synscribe differentiates itself through a continuous feedback loop. Its AI agent learns from performance data to self-improve over time rather than producing static content.

💰 Financials

🚩 Risks

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TIA Writer

Adinda Pryanka

Jakarta-based content writer