My Store is the catalog health and compliance dashboard in AgentIQ. It gives merchants a real-time view of how well their product catalog is structured for discovery by AI shopping agents. Every metric, warning, and recommendation on this page traces directly to whether a listing will win or lose a recommendation when a shopper queries ChatGPT, Gemini, Perplexity, or a similar agent.

Figure 1 — My Store dashboard showing the Catalog Health Tracker and score breakdown

The Catalog Health Tracker is the top-level summary card. It shows the total product and collection count, a full-width progress bar segmented by health tier, and the distribution of products across four tiers.

Every product in the catalog is assigned one of four health tiers. The progress bar on the tracker card shows their relative proportions at a glance.

Below the tracker, three score cards decompose the overall health rating into specific signal categories.

Figure 2 — Catalog health breakdown scores and the expanded Important Warnings panel

The Important Warnings section is a collapsible panel that surfaces the most impactful issues across the catalog. Each warning card shows how many products are affected, why it matters for AI agent performance, and a direct action link.

Below the warnings, the Product Optimization Opportunities table provides a per-product view of all compliance issues. This is the main triage surface for individual product fixes.

Figure 3 — Product Optimization Opportunities table with health badges, alerts, and Fix Now actions

Two dropdown filters sit above the table:

A search field at the top allows filtering by product title across the full 134-product catalog.

The Catalog Guardrails button (gear icon, top-right) opens a configuration panel for setting the thresholds and rules that determine when a product triggers a warning. Rules can be customized per merchant to reflect their specific catalog requirements and quality standards. (See Catalog guardrails article in the knowledge center)

The Product Listing page is the individual product optimization workspace. It opens when a merchant clicks "Fix Now" from the Product Optimization Opportunities table. Here, merchants can inspect every aspect of a single product's AI-readiness, run Prompt Analysis to simulate how an AI agent would evaluate the listing, and act on AI-generated suggestions to improve it.

Figure 4 — Product Listing page for "Oakley Flight Deck M Goggles" showing the header, performance metrics, and Product Pulse

Four key metrics are displayed in a row beneath the header. These reflect actual customer behavior data from your Shopify store for the selected date range.

The Organization panel occupies the left two-thirds of the Product Listing page. It is structured into five sub-sections covering all fields that AI agents evaluate when deciding whether to recommend the product.

Figure 5 — Organization panel showing vendor, product type, product options, category taxonomy, and the Prompts Analysis sidebar

The top of the Organization panel lists the foundational product metadata fields:

Product Options shows the variant dimensions defined for the product (e.g., Color: Black). These are pulled directly from Shopify and inform AI agent understanding of available configurations.

The Category field shows the full Shopify taxonomy path assigned to the product. A deep, accurate taxonomy path is one of the strongest signals for AI agent routing.

Example path:

Two tools assist with category accuracy:

The Metafields section shows structured data fields attached to the product. The panel displays:

The gap count indicates missing fields that AI agents rely on for structured attribute extraction. Filling these gaps directly improves agent confidence when evaluating the product against a query.

Figure 6 — Organization panel with full category taxonomy, metafields, and Prompts Analysis results

Prompts Analysis is the right-side panel of the Product Listing page. It is the core diagnostic tool in AgentIQ: it lets merchants simulate the exact prompt an AI shopping agent would receive and see whether the current listing would be recommended in response.

To run an analysis:

Figure 7 — Prompts Analysis panel with a prompt entered and ready to run

The Analysis Results panel provides a structured breakdown of exactly why the product would or would not be returned for the entered query. It contains:

The icon to the right of the "+" button shows the total number of prompts saved in the Prompt Library (e.g., "69"). Clicking it opens the Prompt Library where pre-built and saved prompts can be selected and re-used across products. (check out our article that explains Prompt libraries)

The Filters section below the prompt field scopes the competitive analysis to a specific context. Active filters affect how the AI evaluates the listing relative to competitor products.

A "How does analysis work?" link at the bottom of the Filters panel opens an explainer on the methodology behind Prompts Analysis scoring.

AI Suggestions appear inline within the Organization panel whenever AgentIQ detects a specific, actionable improvement. Each suggestion card contains:

Figure 9 — AI Suggestion card for image alt text with detected attributes, competitor context, and an editable suggested replacement

Example — alt text suggestion for Oakley Flight Deck M Goggles:

Common tasks and where to find them: