Cleveland, OH — May 1, 2025 — BuyerTwin today announced the launch of its AI-powered platform for virtual buyer feedback. The platform gives marketing, sales, product, and business leaders a practical way to test ideas through modeled buyer perspectives before taking them to market.
BuyerTwin creates interactive virtual buyer models using structured buyer intelligence, research, and AI. Teams can ask questions, examine likely reactions, and identify where messaging or strategy may be misaligned with the priorities, concerns, and decision criteria of the buyers they want to reach.
The goal is not to treat an AI-generated response as a literal statement from a customer. It is to give teams a faster, repeatable way to challenge internal assumptions, surface better questions, and decide what should be validated through direct customer research.
What teams could evaluate at launch
- Website experience: Examine whether copy, design, and navigation are clear and relevant from a buyer’s perspective.
- Content strategy: Explore which topics, formats, and messages connect to meaningful buyer questions and needs.
- Channel choices: Evaluate where target buyers are likely to research, learn, and engage.
- Positioning and messaging: Test whether value propositions are differentiated, understandable, and supported by credible evidence.
- Sales approaches: Identify likely questions, objections, and confidence gaps before a sales conversation.
- Competitive context: Explore how buyers may compare alternatives and which differences could influence a decision.
- Buyer language: Uncover the terms, questions, and framing buyers may use when researching a problem or solution.
The platform addresses a persistent problem inside growing companies: decisions about buyers are often made from an inside-out perspective. Teams may rely on internal opinions, familiar language, or old assumptions even when buyer expectations have changed. Traditional research remains essential, but it can be difficult to conduct for every campaign, page, sales message, or product decision.
BuyerTwin was created to make buyer-centered evaluation easier to use in everyday work. Virtual buyer feedback can help a team find blind spots and improve an idea before investing in production, while direct conversations, behavioral evidence, and market results continue to provide essential validation.
“Every business thinks it knows its buyer, but internal bias and legacy thinking create significant blind spots,” said Andy Halko, Founder and CEO of BuyerTwin. “BuyerTwin gives teams an outside-in perspective they can use while the work is still taking shape. It helps people move from assumption toward understanding—and make better decisions about what they should test next.”
BuyerTwin is designed for business leaders, marketers, sales teams, product teams, and content creators working to build a more buyer-centered organization. By making buyer intelligence available during planning and execution, the platform helps teams reduce wasted effort, improve alignment, and make more informed decisions.
How BuyerTwin has evolved since launch
Since this announcement, BuyerTwin has expanded its approach to include deeper buyer intelligence and decision signals, structured buyer simulation, and the ability to connect BuyerTwin to compatible AI assistants through MCP. These capabilities make it easier to bring persistent buyer context into the tools and workflows where teams already make decisions.
About BuyerTwin
BuyerTwin is an AI-powered buyer-intelligence platform that helps organizations model buyer psychology, intent, priorities, and decision behavior. Teams use BuyerTwin to examine ideas through buyer perspectives, measure alignment, find gaps, and improve marketing, sales, product, and strategy decisions before taking them to market.
Learn more at buyertwin.com.
Press inquiries
BuyerTwin
Email: [email protected]
Phone: 310-270-6149
5000 Euclid Avenue, Suite 102
Cleveland, OH