Website:
motionexalabs.com
Job details:
Company Description
MOTIONexa LABS collaborates with Series A and Series B Cybersecurity and Compliance SaaS companies to enhance their inclusion within AI-generated vendor shortlists. With the growing shift in B2B discovery from traditional search to synthesized AI-driven answers, we specialize in optimizing AI Search Authority for technical B2B companies in competitive, high-revenue markets. Our expertise spans areas such as Knowledge Graph Alignment, Structured Schema, and AI Visibility Audits across generative platforms. As generative AI tools like ChatGPT and Perplexity redefine vendor discovery, our solutions help organizations strategically position themselves to meet these emerging demands.
Role Description
This is a contract, hybrid role for a GEO Analyst based in Mumbai, with some flexibility for remote work. Responsibilities include researching and analyzing geographic data to enhance AI-driven search authority, conducting competitive analyses of recommendation algorithms, optimizing knowledge graph alignment, and contributing to structured schema improvements. Collaborating with cross-functional teams to mitigate gaps in machine-readable architectures and improve AI visibility will also be a key aspect of the role. The GEO Analyst will play a pivotal role in ensuring brands remain discoverable on AI-powered platforms, supporting clients in high-stakes, competitive markets.
Qualifications
- Experience in Geographic Data Analysis, Knowledge Graphs, and Entity Alignment
- Strong Research and Analytical skills for conducting Competitive and Market Analyses
- Understanding of AI-driven Technologies, Structured Schema, and Query Algorithms
- Ability to collaborate with technical teams to improve Machine-Readable Architectures and Authority Signal Engineering
- Attention to detail, problem-solving skills, and proficiency in relevant software tools
- Prior experience in B2B markets, cybersecurity, compliance, or SaaS companies is an advantage
- Bachelor's or Master’s degree in Geography, Data Science, Computer Science, or a related field
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