In a recent LinkedIn post, Jesse M. discusses the development of a custom AI Search Dashboard for his clients at SpearPoint, aimed at tracking visibility across emerging AI search platforms. Jesse M. is now seeking user input to enhance the dashboard, focusing on metrics that genuinely matter to businesses.
As Jesse M. notes, the current focus is on understanding what clients truly want to see:
“There are a lot of things we can track with AI Search / AEO / GEO, but I’m more interested in what businesses actually care about seeing.”
Prioritizing Business-Centric Metrics in AI Search Analytics
Jesse M. highlights a critical challenge in the rapidly evolving field of AI search: aligning technical tracking capabilities with the practical needs of businesses. While numerous metrics can be monitored, including those related to AI Search, Advanced Engine Optimization (AEO), and Geo-Optimization (GEO), Jesse M. emphasizes the importance of distilling this data into actionable insights that resonate with business objectives.
The core of Jesse M.’s inquiry revolves around identifying the primary metrics that business leaders would prioritize if given access to such a dashboard. This user-centric approach is key to ensuring the dashboard’s utility and value.
The Quest for the First Metric
Jesse M. directly asks his network:
“So, if you had an AI Search dashboard, what metric would you check first?”
This question is designed to elicit immediate, high-level priorities. By focusing on the “first metric,” Jesse M. aims to uncover the most crucial indicators of success or concern for businesses operating in an AI-driven search landscape. This could range from lead generation and conversion rates influenced by AI search results to brand visibility and market share within these new platforms.
Enhancing the AI Search Dashboard Based on User Feedback
Beyond a single primary metric, Jesse M. also invites broader suggestions for features or data points that might be missing from current tracking capabilities.
“And if there’s something missing, drop it in the comments.”
This open invitation suggests a commitment to iterative development, where user feedback directly shapes the evolution of the AI Search Dashboard. Jesse M. frames this as an opportunity to build a tool that is not just technically proficient but also genuinely indispensable for his clients.
Furthermore, Jesse M. hints at the potential for a demonstration:
“P.S. Let me know if you’d like to see the dashboard.”
This offer implies a readiness to showcase the current state of the dashboard and further engage with interested parties, potentially leading to more detailed discussions and feedback. The initiative underscores Jesse M.’s proactive approach to leveraging AI search analytics for client success.
📝 About This Content
This article is based on insights shared by Jesse M. on LinkedIn.
📅 Originally posted on September 2, 2026 | View original post on LinkedIn →