[RECORDED] Webinar: Is Your Search Ready for AI? A framework for measuring the right things, closing the gaps, and sequencing the path to autonomous optimization

Most ecommerce teams track zero-result rates, conversion, and latency. Those numbers were built to report on search. They do not predict whether AI-driven retrieval will work on your catalog. This session introduces the Ecommerce AI Search Readiness framework and shows how to measure where you stand, identify the gaps that break AI downstream, and build a roadmap before automation accelerates in the wrong direction.

1. 1. Traditional Search Metrics Do Not Predict AI Retrieval Performance: Zero-result rates and conversion tell you how search is performing today. They do not tell you whether attribute fill rates, taxonomy alignment, behavioral signals, or governance are in the shape that AI-driven retrieval requires.
   2. Catalog Quality is Almost Always the Weakest Domain: Nobody owns the bridge between IT, buyers, and suppliers. That gap quietly costs revenue, and it is the first thing that breaks when agents try to optimize against an inconsistent information model.
   3. On-Site and Off-Site Search Improvement Are the Same Work: A third of customers are already using LLMs to find products. The content structure, metadata, and semantic clarity that make you visible to external AI engines like Perplexity and ChatGPT also improve on-site retrieval. Improving both requires the same foundation.
   4. Agents Optimize Against an Information Model: When the taxonomy is inconsistent and attributes are incomplete, automation does not fix the problem. It accelerates the wrong results at greater scale. The foundation has to be right before the agents can help.
   5. Every Sprint Is Measured Before and After: The engagement model starts with a free Quick Check, moves into a relevance audit that establishes baselines, and then runs four-to-six-week optimization sprints with before-and-after measurement built in. Recent results include an 8% relevance lift, a 30% reduction in zero-result failures, and search conversion improvement from 1.8% to over 3%.

Speakers