Xclaymation helps B2B companies optimize how they are evaluated and selected by both human buyers and the autonomous AI agents that increasingly mediate purchasing decisions. The platform assesses a product's "machine selectability" score and restructures vendor information so AI-driven shortlists and procurement workflows recognize it as a credible choice. This positions companies to remain visible as AI agents become central to B2B purchasing, with billions in spend moving through these systems by 2028.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprise buyers now evaluate vendors alongside AI agents, search systems, and automated shortlists that filter products before human sales conversations begin. Most B2B positioning is designed only for human perception, leaving companies with unstructured or unclear data that AI evaluators cannot read, making them invisible during the critical shortlisting phase.
Solution
Xclaymation provides a platform that scores and optimizes a company's "machine selectability," ensuring products are understood and ranked favorably by AI agents operating at the point of purchase decision. The service analyzes how a product appears to autonomous systems and restructures vendor data to improve clarity and structure, making the offering a "safer choice" for AI-driven evaluation. By improving both human and machine scores, Xclaymation helps companies get into the shortlists that AI agents build, even while human buyers are still involved in the final decision. This dual optimization ensures that a company is not outpositioned by competitors with cleaner, more machine-readable content.
Target Audience
Primary customers are B2B enterprises and product marketing teams that sell through digital-first procurement channels and need to remain competitive as AI agents increasingly mediate vendor selection.
Features
- Machine selectability scoring that quantifies a product's visibility and appeal to AI procurement agents on a 0-100 scale
- Automated analysis of vendor data to identify readability gaps that cause AI systems to exclude a product from shortlists
- Optimization tools that restructure unstructured product information into formats and schemas aligned with AI summarization and evaluation workflows
- Competitive benchmarking that highlights how a product's data structure compares to rivals with higher machine scores