Commerce software selection

AEO and GEO optimization for ecommerce product discovery

For ecommerce teams, AEO and GEO work starts with understanding where products appear in AI answers. The next step is deciding which findings matter to the business and what to do about them. Paz connects relevant monitoring with investigation, reviewable optimizations and approved execution through supported workflows.

Published 2026-08-15. Last reviewed 2026-08-15.

What is AEO and GEO optimization software?

Answer engine optimization (AEO) is the practice of helping a product or brand appear in AI answer results. Generative engine optimization (GEO) is the practice of helping a product or brand appear in AI-generated responses. Commerce software can help teams monitor observed appearances, investigate product-information gaps, prepare fact-based changes and measure subsequent results. Your buyers, growth priorities and previous decisions should shape that work. An omission alone does not establish why a product was absent.

The capabilities below give commerce teams a practical software selection checklist and show where Paz.ai fits in the workflow.

The capabilities commerce teams should evaluate

Use these capabilities as an evaluation checklist for any AEO or GEO platform built for ecommerce.

Choose relevant questions

Define monitoring around your buyers, products, priority categories and relevant competitors.

Read the evidence

Distinguish product cards, product mentions, brand mentions and source citations.

Investigate before changing

Examine source information and previous catalog changes before preparing an optimization.

Keep human control

Review the proposed change, approve it and check that it took effect.

Build on the results

Bring subsequent monitoring and previous decisions into the next cycle. Assess commercial results separately from visibility.

Where Paz.ai fits

Paz brings your business priorities into product and channel work. It combines catalog and connected commerce data with previous changes and monitoring results, prepares specific optimizations for review, and carries out approved work through supported workflows. It works alongside your existing tools and agency.

See the AI shopping visibility platform page for what Paz measures and the methodology page for how it measures it.

Paz workflow coverage

AI visibility and product information, including catalog-related channel corrections, are part of Essentials. Growth adds recurring commercial-performance investigations. Essentials and Growth cover one brand and one primary storefront. Connections and actions are confirmed for the selected work. See plans and pricing for commercial terms.

Methodology and product evidence

How Paz measures visibility is documented on the methodology page and held to the standards in the editorial policy. Public partnership evidence is on the press page.

Frequently asked questions

What is AEO and GEO optimization software?+
For commerce teams, AEO (answer engine optimization) and GEO (generative engine optimization) software monitors whether products and brand appear in AI answers, classifies how they appear, connects visibility gaps to catalog or content fixes, and measures AI-referred traffic. Some platforms also support catalog optimization and selected feed distribution.
Which AI engines does Paz.ai monitor?+
Paz monitors Google AI Mode, ChatGPT, Perplexity, and Google AI Overviews. Google AI Overviews is diagnostic and reported separately from the three primary per-engine visibility reports.
Does Paz.ai provide checkout or payment processing?+
Paz investigates and carries out approved product and channel work through supported workflows. Checkout, payments and order fulfillment remain with the merchant's existing systems.
Which ecommerce workflows is Paz.ai built for?+
AI visibility, product information, catalog-related channel corrections and recurring commercial-performance investigations. Paz uses business context and previous results to prepare relevant actions, with human approval before external changes.
Next steps

Choose your next step

Start with a product-level readiness check, review the operating workflow, or compare current plan coverage.

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