Resources for SKU-level AI visibility.
Blog posts, glossary entries, pillar guides, free tools, and the jobs-to-be-done library. Written for VPs of Ecommerce and SEO leads who want to know which SKUs are being cited, on which engine, and what to change on every PDP.
Blog
Field notes on ChatGPT citation patterns, Perplexity Shopping behavior, Shopify metafields for AI, and the economics of SKU-level tracking. Ten posts at launch, more every month.
GUIDESGuides
Pillar guides that define GEO, AEO, and Agentic Commerce Optimization — plus the two eCommerce Insights wedge pillars, Product AI visibility and SKU-level AEO. Written neutrally; the category hasn't picked a winner yet.
GLOSSARYGlossary
Thirty definitions for the terms practitioners, analysts, and vendors use interchangeably. One sentence on each, plus context, examples, and cross-links to the relevant guide.
TOOLSFree tools
The Shopify SKU Visibility Grader, the llms.txt generator, a product schema generator, the ChatGPT Product Visibility Checker, and the AEO Grader. No signup required for the first pass.
JTBDJobs to be done
Specific tasks a VP of Ecom or SEO lead hires eCommerce Insights for. Think "check if my product appears in ChatGPT" or "prove AI-search ROI to leadership." One page per job, concrete.
COMPARECompare
Head-to-head pages: eCommerce Insights vs Profound, Ahrefs Brand Radar, Semrush AI Visibility, and more. Facts attributed to each vendor's public materials.
What to read first
The right starting point depends on where you are in the buying cycle and which persona sits inside your org.
If you've heard "GEO" or "AEO" and want the landscape
Start with What is GEO for the category-wide umbrella, then What is AEO for the answer-engine framing. If you work in ecommerce specifically, read What is Agentic Commerce Optimization — eCommerce Insights defines the term neutrally even though a competitor coined it.
If you already know the category and want the eCommerce Insights wedge
Read Product AI visibility and SKU-level AEO. Together, they explain why brand-level tracking loses money for ecommerce and what changes when you measure per-SKU instead. Then spot-check your catalog with the Shopify SKU Visibility Grader.
If you're technical and want the implementation detail
Start with Schema for AI search, then llms.txt for Shopify, then the blog post on Shopify metafields for AI search. These three stack: schema is the truth layer, llms.txt is the summary layer, metafields are the plumbing that keeps both current.
If you're weighing vendors
Read the relevant comparison page first — facts attributed to each vendor's public materials, no trash talk. Then check the best AI visibility tools for Shopify roundup for the landscape view. End with the blog post on why brand-level AI tracking misses your revenue — it explains the design choice eCommerce Insights makes differently.
Fresh this quarter
- Perplexity Shopping citation patterns, Q1 2026 — sample distribution of sources cited per answer.
- How AI engines pick which products to cite — retrieval, grounding, ranking, and why review coverage amplifies you.
- The D2C playbook for AI search, 2026 edition — seven steps, opinionated, honest about what's still forming.
- Measuring AI visibility: what actually matters — the metric primitive, what to track, what to ignore.
Resources FAQ.
Where should a VP of SEO new to AI search start?
What is the fastest way to check my catalog's AI visibility?
How current are these guides?
Is there a glossary for the GEO / AEO / ACO vocabulary?
See eCommerce Insights on your catalog.
Track every SKU across ChatGPT, Perplexity, Gemini, Google AI Overviews, Claude, and Copilot. Fix every PDP. One dashboard.