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Free Webinar  ·  September 24th, 2026

How to Measure AI Visibility for Your Ecommerce Catalog

Your products may rank well, yet stay invisible when shoppers ask AI what to buy. This session shows you which AI visibility metrics matter, how to benchmark your catalog, and where competitors are winning today.

Thursday, September 24, 2026
2:00 PM EST  ·  45 minutes + Live Q&A
Live webinar  ·  Free to attend
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🎁 Free AI Visibility Audit, yours as an attendee

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42%
of people using AI assistants for shopping recommendations.
4.4x
higher conversion rate for AI-referred visitors compared with organic search traffic.
93%
of Google AI Mode searches end without a click to any website.
Why this webinar

Your products are being evaluated by AI. Are you measuring what it sees?

Buyers ask an AI assistant which product to get, then arrive on your site already half decided. Almost no ecommerce team has a number that says whether their catalog shows up in that conversation.

What you’ll walk away with

Six things you can act on immediately

Practical metrics, examples, and a framework you can apply to your own ecommerce catalog.

A clear definition of ecommerce AI visibility
Understand the difference between being indexed, mentioned, cited, recommended, and selected as a product answer.
The metrics that actually matter
Learn how to track AI Mention Rate, Citation Rate, Recommendation Rate, Share of AI Visibility, and Product Coverage instead of relying only on traditional SEO rankings.
A framework for testing real buying questions
Build a prompt set around how shoppers actually research products: category questions, comparisons, use cases, specifications, problems, and purchase intent.
Product-level visibility across your catalog
See why measuring only your brand creates blind spots and how to identify which SKUs, categories, and product attributes AI engines understand best.
Competitive AI visibility benchmarking
Measure how often your products appear compared with competitors and identify the questions where competing brands dominate AI recommendations.
A repeatable AI visibility scorecard
Bring everything together into a simple framework your ecommerce, SEO, merchandising, and content teams can track over time.
Session agenda

Topics covered

A focused 45-minute session. Practical examples, measurement frameworks, and a live catalog walkthrough.

01 Why traditional SEO metrics do not give you the full picture of AI discovery
02 What ecommerce AI visibility actually means at the brand, category, and product level
03 The core metrics: mentions, citations, recommendations, catalog coverage, and share of visibility
04 How to measure product visibility across a large catalog without looking at every SKU individually
05 Live walkthrough: measuring AI visibility for a real ecommerce catalog
06 How to identify citation gaps, product-data gaps, and competitor opportunities
07 Building your AI Visibility Scorecard and tracking progress over time
08 Open Q&A: your catalog, your questions, answered live/span>
Who should attend

Built for ecommerce teams

If customers research products through AI before reaching your store, this session will help you understand whether your catalog is showing up when those buying decisions are being made.

Ecommerce founders & CEOs
Understand how visible your products are in AI discovery and where competitors may be gaining an early advantage.
VPs & Directors of Ecommerce
Build AI visibility into your ecommerce measurement framework and identify where to prioritize investment.
SEO & AEO/GEO teams
Move beyond traditional rankings and establish measurable KPIs for AI mentions, citations, and product recommendations.
Ecommerce marketing teams
Understand which products and categories AI engines surface when shoppers research what to buy.
Merchandising & product teams
Identify catalog-data gaps that make it harder for AI engines to understand, compare, and recommend your products.
Agencies & consultants
Add structured ecommerce AI visibility measurement to your client strategy, reporting, and optimization programs.
Exclusive attendee offer

Free AI Visibility Audit for your catalog

Every attendee receives a personalized audit report on their own catalog. Scored findings across the six areas that decide whether AI engines can find, understand, and recommend your products. Clear fixes, prioritized by revenue impact.

AI brand mentions
Product recommendation visibility
Citation coverage
Priority category visibility
Competitor share of visibility
Product information gaps
High-opportunity shopper questions
Priority recommendations
Your hosts

Featured speakers

Practical, benchmark-backed tactics. Built from live ecommerce data.

Shawn Post
Conversion Rate Optimization Specialist
10+ years optimizing ecommerce funnels for brands doing $5M+ in annual revenue. Specializes in analyzing shopper behavior, conversion data, and the signals that reveal where product discovery breaks down. Known for live store teardowns that turn complex ecommerce data into clear, prioritized action plans.
Sathish Kumar M
Sathish Kumar M
AI Discovery & Conversion Specialist
Deployed AI-powered discovery and guided selling stacks across 50+ ecommerce brands, averaging a 22% conversion lift per implementation. Focuses on helping ecommerce teams understand, measure, and improve how their products are discovered, cited, and recommended across AI-driven shopping journeys.

Seats are limited.
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Wednesday, July 16, 2026  ·  2:00 PM EST  ·  Free to attend

Presented by ConversionBox  ·  conversionbox.ai

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