Shopify
Create and manage your store
- Category
- Commerce
- Primary Subcategory
- Ecommerce Operations Platforms
Integration details
Description
Shopify for ChatGPT makes starting, running, and growing an online store as easy as having a conversation. Turn a small business idea into an ecommerce website with Shopify’s AI store builder: describe what you sell, create your store, add products, and sell online. Already have a Shopify store? Connect it to manage inventory across locations, create discount codes, review orders and customer details, and pull analytics on your store’s performance. Shopify supports selling online, in person, B2B, on marketplaces, and selling internationally. Whether you run a print on demand business, sell digital products, operate an online boutique, dropship, or serve wholesale buyers, Shopify gives you the foundation to build, sell, and grow.
- Integration type
- Plugin
- Verification status
- Not applicable
- Platform
- ChatGPT
- Primary Subcategory
- Ecommerce Operations Platforms
- Secondary Subcategories
- None listed
- Brand
- Shopify
- Access
- Account optional
- First tracked
- 2026-08-21
- Tool count
- 40
- Geography
- US
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Other Subcategories where the Integration is listed.
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ChatGPT Plugin Discovery Score
Shopify in Ecommerce Operations Platforms
#1of 32competitors
Shown to buyers in 85.0% of contested Runs.
What we measure
One core score. Three important factors to discoverability.
- How often your Plugin appeared in the picker, or Claude invoked it directly, across contested conversations. This percentage is the Discoverability Score; the headline number is rounded.Sets the score
Picked
· 85/100 - Whether Claude found your Plugin in connector search. It must be Found before it can reach the picker, but the score counts picker appearances—not search results.Diagnostic
Found
· 86/100 - What position your Plugin appeared in when it was shown in the picker. This shows prominence, but it does not affect the score.Diagnostic
Positioned
Competing in ChatGPT Ecommerce Operations Platforms
View Category40 tools agents can invoke
Add one or more products to a collection in the connected Shopify store. Use this when the user wants to organize products into a collection. IMPORTANT: This tool already presents the primary data in a visual widget the user can see. Do not restate it in text. Use your response only for interpretation, caveats, or next steps. Always list out some potential next actions for the user to take.
add-to-collection
Mint a signed upload URL for one file on a Digital Products variant. Called by the upload widget, not by the model: it hands back a write credential and does not attach anything on its own. Attachment is recorded afterwards by finalize-digital-file-attachment.
attach-digital-file
Mint a staged upload target for one media image on a digital product. Called by the media image upload widget, not by the model: it hands back a write credential and attaches nothing on its own. The image is attached afterwards by finalize-digital-product-media.
attach-digital-product-media
Update the status of multiple products at once. Accepts a list of product IDs or a collectionId and a target status (ACTIVE, DRAFT, or ARCHIVED). Each product is updated individually so partial failures are possible. When using collectionId, only the first 50 products in the collection will be updated. IMPORTANT: This tool already presents the primary data in a visual widget the user can see. Do not restate it in text. Use your response only for interpretation, caveats, or next steps. Always list out some potential next actions for the user to take.
bulk-update-product-status
Create a new collection in the connected Shopify store and publish it to the Online Store. Use this when the user wants to organize products into a new group. COLLECTION TYPES: - Manual collection: pass `productIds` to add specific products. - Smart collection: pass `ruleSet` with conditions to auto-populate products. - `productIds` and `ruleSet` are mutually exclusive — provide one or neither. SMART COLLECTION RULES: - Common rule columns: TAG, VENDOR, TYPE, TITLE, VARIANT_PRICE. - Common relations: EQUALS, NOT_EQUALS, CONTAINS, NOT_CONTAINS, STARTS_WITH, ENDS_WITH, GREATER_THAN, LESS_THAN. - `appliedDisjunctively: true` means products matching ANY rule are included (OR logic). - `appliedDisjunctively: false` means products must match ALL rules (AND logic). IMAGE REQUIREMENTS: - Images must be publicly accessible HTTPS URLs (e.g. https://example.com/photo.jpg). - Local file paths (e.g. /mnt/data/..., file://...) are NOT supported and will fail. - If you have a local file, generated image, or external URL: call the upload-image tool FIRST to get a permanent Shopify CDN URL, then pass that URL here. - Avoid placeholder or non-deterministic image URLs (e.g. picsum.photos) for real collections. IMPORTANT: This tool already presents the primary data in a visual widget the user can see. Do not restate it in text. Use your response only for interpretation, caveats, or next steps. Always list out some potential next actions for the user to take.
create-collection
Create a percentage-based discount code for the connected Shopify store. Use this when the merchant wants to set up a new discount code with a specific percentage off — including one limited to particular products or to a collection — with optional minimum purchase or quantity requirements. SCOPE — what the discount applies to: - Call both search_products and search_collections on whatever the merchant named, even if the first one already matches — a product and a collection can share a name. If both match, ask the merchant which they meant rather than picking one. - Specific products ("20% off the Snake Plant", "put these three items on sale"): pass productIds with their product GIDs, up to 50 of them. Look the GIDs up with search_products or get-product first. - An existing collection ("20% off everything in Summer Sale"), or any set larger than 50 products: pass collectionId. - Every product in the store: omit both. - productIds and collectionId are mutually exclusive. Passing both is rejected before anything is created. Do NOT create a collection just to scope a discount to products. This tool discounts products directly in one call, so a collection made only as a stepping stone leaves the merchant with one they never asked for. This is not a restriction on create-collection itself: if the merchant asked for a collection, create it and then scope the discount to it with collectionId. What matters is why the collection exists — one the merchant wants is fine, one invented to work around productIds is not. Two things must be confirmed with the merchant before this tool will create anything: when the discount starts, and who can use it. Both are ordinary parameters on this tool. If either is missing, the tool answers with a plain-language question to put to the merchant. Ask the merchant, then call create-discount again with the answer filled in. Start date: pass startsAt as an ISO 8601 timestamp. For a discount the merchant wants active right away, pass the current date and time; for a scheduled one, pass the date they chose. Omit it only if they have not said yet. Customer eligibility: pass customerEligibility="all_customers" once the merchant has confirmed it should be available to everyone, or pass customerSegments with the names of merchant-defined customer segments. If neither field is set, the tool returns a clarification prompt that lists the segments defined on this store — pick one of those names or "all_customers" based on what the merchant wants. IMPORTANT: This tool already presents the primary data in a visual widget the user can see. Do not restate it in text. Use your response only for interpretation, caveats, or next steps. Always list out some potential next actions for the user to take.
create-discount
Create a new product in the connected Shopify store. If create-product-interactive is available, prefer it over create-product. Use this when the user wants to add a product with a title, description, variants, images, or other product details. VARIANTS & OPTIONS: - When providing `variants`, you MUST also provide the `options` field as a string array of option names. - Example: for a single default variant use `options: ['Title']`, for Size/Color variants use `options: ['Size', 'Color']`. - The `options` field must be an array of strings (e.g. `['Size', 'Color']`), NOT an array of objects. - Each variant's `optionValues` must reference option names declared in the `options` array. INVENTORY TRACKING: - To enable inventory tracking on variants, set `inventoryItem: { tracked: true }` on each variant. - If omitted, inventory defaults to untracked and set-inventory will not work as expected. IMAGE REQUIREMENTS: - Images must be publicly accessible HTTPS URLs (e.g. https://example.com/photo.jpg). - Local file paths (e.g. /mnt/data/..., file://...) are NOT supported and will fail. - If you have a local file, generated image, or external URL: call the upload-image tool FIRST to get a permanent Shopify CDN URL, then pass that URL here. - Avoid placeholder or non-deterministic image URLs (e.g. picsum.photos) for real products. - The first image provided becomes the product's featured image. COLLECTION: - Optionally pass `collectionId` to add the product to a collection after creation. - To add to multiple collections, use add-to-collection afterward. IMPORTANT: This tool already presents the primary data in a visual widget the user can see. Do not restate it in text. Use your response only for interpretation, caveats, or next steps. Always list out some potential next actions for the user to take.
create-product
Explore the Shopify Admin GraphQL schema to discover types, fields, and arguments. You MUST call this tool before building ANY GraphQL operation — every graphql_query and every graphql_mutation starts here, not just mutations. It is step 1 of the GraphQL Workflow and the only source of truth for exact type, field, argument, and input-type names — never guess them. For INPUT_OBJECT types (e.g. 'ProductInput', 'DiscountCodeBasicInput') the response includes the full transitive closure of every nested input type — you do NOT need to call again per nested type. Each inputFields[] entry whose type unwraps to an INPUT_OBJECT carries an 'expanded' key with that type's inputFields recursively. Cycles are emitted as { "$ref": "TypeName" }. ENUM-typed fields have their values inlined under 'enumValues'. Pass a type name to inspect. Common starting points: - 'Mutation' — list all available mutations (search here first for mutations) - 'QueryRoot' — list all available queries - 'Product', 'Order', 'Customer' — inspect entity fields for queries - 'ProductInput', 'ProductVariantInput' — inspect mutation input types (returned with full nested closure) Workflow for mutations: graphql_schema('Mutation') → find the mutation → graphql_schema('InputTypeName') → construct the mutation → validate_graphql_codeblocks → graphql_mutation. Workflow for queries: graphql_schema('QueryRoot') → find the query → graphql_schema('TypeName') → construct the query → validate_graphql_codeblocks → graphql_query. While building an operation, search_docs_chunks supplements this tool with worked examples from shopify.dev; it does NOT replace it and is not where the workflow starts. A standalone documentation question, with no operation to build, goes straight to search_docs_chunks.
graphql_schema
Record a digital file that was uploaded directly to storage by the widget, then enable automatic delivery for the variant. Called only by the widget after a successful upload to the URL from attach-digital-file; never invoke directly from the model. Does not publish the product.
finalize-digital-file-attachment
Attach a media image that was uploaded straight to storage by the widget, as the digital product's media. Called only by the media image upload widget after a successful upload to the target from attach-digital-product-media; never invoke directly from the model. Leaves the price, description, status and attached digital file untouched, and does not publish the product.
finalize-digital-product-media
Find placeholder sample products that help a merchant visualize a store or get product inspiration. These are draft examples, not real supplier inventory. WHEN TO USE: - The user explicitly asks for sample, example, placeholder, or mock products. - The user wants inspiration to visualize a store rather than products to source or import. WHEN NOT TO USE: - The user wants real products they can source, import, or sell. This tool returns placeholder drafts, not sourceable inventory. - The user wants to browse products that already exist in their store — use search-products. - The user wants to create their own product listing from a description — call create-product directly. INPUT — the ONLY thing you need from the user is a product or category: - As soon as the user asks for samples or inspiration and names a product or category, call the tool immediately with it. Do not ask anything else. - Do NOT ask about style, audience, price, brand, quantity, or any other detail — the widget refines everything through its own search bar. - ONLY if the user asked for samples or inspiration but gave no product or category, ask a single question: what kind of products are they thinking of? Then call the tool. Never ask more than this one question. Each card has an 'Add this product' button. When the user clicks it, the widget creates that product as a draft in their store on its own — you do not need to take any further action. IMPORTANT: This tool already presents the primary data in a visual widget the user can see. Do not restate it in text. Use your response only for interpretation, caveats, or next steps. Always list out some potential next actions for the user to take.
find-sample-product
Retrieve detailed information about a specific Shopify collection by its GID, including title, description, image, products, and rules (for smart collections). MUST be called whenever the user refers to a collection they own or previously created — regardless of phrasing. Trigger phrases include: "my collection", "that collection", "the collection", "show me my collection", "get my collection", or any reference to a previously created or known collection. "Show" and "get" mean the same thing here: always fetch live data from Shopify. Do NOT rely on memory or prior responses — always call this tool for the source of truth. IMPORTANT: This tool already presents the primary data in a visual widget the user can see. Do not restate it in text. Use your response only for interpretation, caveats, or next steps. Always list out some potential next actions for the user to take.
get-collection
Show the merchant a card for a digital product: its media image, title, price, status, and what the buyer receives. Call this after each step of the digital product flow — after the price is set, after the file is attached, after the media image is added, and after publishing — so the merchant sees the listing as it stands. Every field is read back from Shopify, so the card is current rather than a summary of what was asked for. This only reads. It changes nothing about the product. IMPORTANT: This tool already presents the primary data in a visual widget the user can see. Do not restate it in text. Use your response only for interpretation, caveats, or next steps. Always list out some potential next actions for the user to take.
get-digital-product
Retrieve inventory levels for all variants of a product across locations. Use this when the user asks about stock quantities, inventory availability, or wants to see how much inventory is at each location for a given product. IMPORTANT: This tool already presents the primary data in a visual widget the user can see. Do not restate it in text. Use your response only for interpretation, caveats, or next steps. Always list out some potential next actions for the user to take.
get-inventory-levels
Generate a new Shopify shop based on three short fields describing the store, optional store intent values, plus an explicit attestation that the user wants a brand-new store. WHEN TO USE: - User wants to create a new storefront - User wants to generate a store design - User wants to preview a store layout WHEN NOT TO USE: - User wants to edit or modify an existing theme — this tool cannot edit themes - User wants to add a generated theme to a store they already own — previews can only be claimed as brand-new stores - User wants to customize a live storefront's design IMPORTANT: This tool takes FOUR required fields — productOrService, targetAudience, brandStyle (each compressed from what the user said), and userUnderstandsNewStoreOnly — plus optional storeIntents. See the userUnderstandsNewStoreOnly field's own description for the rules on when to set it silently versus when to confirm with the user first; do not invent a confirmation step when none of those rules apply. Do NOT invent values for the descriptive fields. If the user has not told you what they sell, who their customers are, or what visual style they want, ASK THEM before calling this tool. Make sure you have enough concrete detail from the user that there's something meaningful to compress — at least varieties or specifics for the product, real audience traits, and concrete visual cues. The previews are much better when each field is grounded in something the user actually said. Each descriptive field (productOrService, targetAudience, brandStyle) is a comma-delimited keyword phrase (max 78 characters), compressed from what the user said — no synonyms, no inferred attributes, no full conversation history. Drop filler words and keep nouns and concrete descriptors. Returns up to 3 storefront previews. Generation typically takes about 3 minutes. After calling this tool, let the user know their previews are on the way and may take a few minutes. Remind them that the previews can only be claimed as brand-new stores; they cannot be applied to an existing storefront or used to edit an existing theme. Keep the conversation going while they wait. IMPORTANT: This tool already presents the primary data in a visual widget the user can see. Do not restate it in text. Use your response only for interpretation, caveats, or next steps. Always list out some potential next actions for the user to take.
get-new-store-previews
Retrieve detailed information about a specific Shopify order including line items, fulfillment status, shipping address, and tracking. Use this when the user asks about a particular order's details or status. IMPORTANT: This tool already presents the primary data in a visual widget the user can see. Do not restate it in text. Use your response only for interpretation, caveats, or next steps. Always list out some potential next actions for the user to take.
get-order
Retrieve detailed information about a specific Shopify product by its GID, including title, status, vendor, variants, images, tags, and inventory. MUST be called whenever the user refers to a product they own or previously created — regardless of phrasing. Trigger phrases include: "my product", "that product", "the product", "show me my product", "get my product", "pull up the product", "open my product", or any reference to a previously created or known product. "Show" and "get" mean the same thing here: always fetch live data from Shopify. Do NOT rely on memory or prior responses — always call this tool for the source of truth. IMPORTANT: This tool already presents the primary data in a visual widget the user can see. Do not restate it in text. Use your response only for interpretation, caveats, or next steps. Always list out some potential next actions for the user to take.
get-product
Retrieve basic information about the connected Shopify store including name, domain, email, plan, currency, timezone, and country. Use this when you need store context to tailor advice (e.g. plan limitations, currency for pricing, timezone for scheduling), when the user asks about their store details, or to verify which store is connected. IMPORTANT: This tool already presents the primary data in a visual widget the user can see. Do not restate it in text. Use your response only for interpretation, caveats, or next steps. Always list out some potential next actions for the user to take.
get-shop-info
Execute a GraphQL mutation against the Shopify Admin API. The Shopify Admin API supports hundreds of mutations. Built-in tools cover common write operations, but when the user asks to modify a resource that has no dedicated tool (e.g. metafields, metaobjects, pages, blogs, translations, publications, etc.), use this tool. Note: Some dangerous mutations are blocked for safety (e.g. refunds, gift card writes, staff management, theme deletion, theme publishing). Theme file writes (themeFilesCopy, themeFilesUpsert) are allowed on unpublished themes only — writes that target the live/MAIN theme are blocked. If a mutation is blocked, inform the user and suggest they perform the action in Shopify admin. The host app will prompt the user for confirmation before executing. Before calling this tool, follow the GraphQL Workflow: 1. Use graphql_schema to look up the exact mutation name (type_name='Mutation') and input type fields — do NOT guess. 2. You can also use search_docs_chunks to find mutation examples in Shopify documentation. 3. Construct the operation. 4. Call validate_graphql_codeblocks to verify the operation — do NOT skip validation. 5. Only then call this tool to execute the mutation. IMPORTANT: After executing, present the results clearly to the user. Do NOT dump raw JSON — summarize what changed in a helpful, readable way.
graphql_mutation
Execute a read-only GraphQL query against the Shopify Admin API. The Shopify Admin API exposes hundreds of resources. Built-in tools cover common operations, but when the user asks about a resource that has no dedicated tool (e.g. gift cards, metafields, metaobjects, pages, blogs, markets, translations, publications, etc.), use this tool to fetch the data. Before calling this tool, follow the GraphQL Workflow: 1. Call graphql_schema FIRST to discover the correct types and fields — do NOT guess field names, and do NOT skip this step. 2. Construct the operation. search_docs_chunks is optional here for worked examples; it supplements graphql_schema and never replaces it. 3. Call validate_graphql_codeblocks to verify the operation — do NOT skip validation. 4. Only then call this tool to execute the query. Pagination: include `pageInfo { hasNextPage endCursor }` in your query. Pass the endCursor value as the `after` variable for the next page. IMPORTANT: After calling this tool, present the results clearly to the user. Do NOT dump raw JSON — summarize the key information in a helpful, readable way.
graphql_query
Open a Shopify Admin install handoff for Digital Products on the authenticated store. Use this only after the merchant has explicitly asked to install or prepare Digital Products for their store. The app identity is fixed by Shopify; this tool cannot install arbitrary apps and does not install anything silently. The merchant must click the widget button and complete the Shopify Admin install flow before Digital Products connector tools can continue. IMPORTANT: This tool already presents the primary data in a visual widget the user can see. Do not restate it in text. Use your response only for interpretation, caveats, or next steps. Always list out some potential next actions for the user to take.
open-digital-products-install
Retrieve a list of customers from the connected Shopify store, including name, email, phone, order count, and total spent. Use this when the user asks about their customers, wants to look up a specific customer, or needs customer data for analysis. SEARCH SYNTAX: When the user is looking for a specific customer (by name, email, tag, etc.), ALWAYS pass a structured `query` using Shopify's customer search syntax. Do NOT pass a bare free-text term like `Smith` for a name search — Shopify's default fields match addresses, tags, company names, and notes, which returns unrelated customers. Field filters use `field:value`. Combine with `AND` / `OR` / `NOT`; parenthesize subqueries. Ranges use `:<`, `:<=`, `:>`, `:>=` on numeric / date fields. Name lookups should query BOTH first and last name, e.g. for "customers named Smith" use `first_name:Smith OR last_name:Smith`. Supported filter fields: - Name: `first_name`, `last_name` - Contact: `email`, `phone` - Location: `country` (full name or code, e.g. `Canada` / `CA`) - Account state: `state` (`enabled` | `invited` | `disabled` | `declined`) - Marketing: `accepts_marketing` (boolean), `email_marketing_state` (`subscribed` | `not_subscribed` | `pending` | `invalid` | `redacted`) - Tags: `tag`, `tag_not` - Numeric (support ranges): `orders_count`, `total_spent`, `id` - Date (support ranges): `created_at`, `updated_at`, `order_date`, `last_abandoned_order_date` — use ISO 8601 in quotes, e.g. `created_at:>'2024-01-01'` RECENCY OF ORDERS: To filter by when a customer placed an order, use `order_date` — NOT `updated_at`. `order_date` matches customers who have at least one order within the given date range. `updated_at` is bumped by profile edits too, so it's a leaky proxy. For abandoned-checkout recency, use `last_abandoned_order_date`. Compose either with the same date syntax shown for `created_at` / `updated_at` above; for relative windows ("last N days"), compute the cutoff from the current date in your context. Examples: - `Find customers named Smith` → `first_name:Smith OR last_name:Smith` - `Customers with gmail addresses` → `email:*@gmail.com` - `Customers with more than 5 orders` → `orders_count:>5` - `Customers from Canada` → `country:Canada` - `VIP customers` → `tag:vip` - `Subscribed to email` → `email_marketing_state:subscribed` IMPORTANT — invalid field names are silently ignored and return everything. Only use the fields listed above. Do NOT invent fields like `name:`, `full_name:`, `customer_name:`, or `city:`. IMPORTANT: This tool already presents the primary data in a visual widget the user can see. Do not restate it in text. Use your response only for interpretation, caveats, or next steps. Always list out some potential next actions for the user to take.
list-customers
Retrieve recent orders from the connected Shopify store. Returns order name, customer, totals, financial and fulfillment status. Use this when the user asks about their orders, wants an overview of recent sales, or needs to find a specific order. IMPORTANT: This tool already presents the primary data in a visual widget the user can see. Do not restate it in text. Use your response only for interpretation, caveats, or next steps. Always list out some potential next actions for the user to take.
list-orders
Record the outcome of a file upload the widget sent straight to storage. Called only by the upload widget; never invoke directly from the model. Records telemetry and changes nothing about the product.
report-digital-file-upload
Run a ShopifyQL analytics query. Returns tabular results with automatic chart visualization. IMPORTANT: Always use FROM...SHOW syntax. Use TIMESERIES for time charts, GROUP BY for categories. ## Sales & Revenue - FROM sales SHOW gross_sales TIMESERIES day SINCE -30d UNTIL today - FROM sales SHOW orders, gross_sales, discounts, sales_reversals, net_sales, shipping_charges, taxes, total_sales TIMESERIES day SINCE -30d UNTIL today - FROM sales SHOW total_sales TIMESERIES day SINCE -30d UNTIL today COMPARE TO previous_period - FROM sales SHOW gross_sales, discounts, sales_reversals, net_sales, shipping_charges, taxes, total_sales - FROM sales SHOW average_order_value TIMESERIES day SINCE -30d UNTIL today ## Orders - FROM sales SHOW orders TIMESERIES day SINCE -7d UNTIL today - FROM fulfillments SHOW orders_fulfilled, orders_shipped, orders_delivered TIMESERIES day SINCE -30d UNTIL today ## Products - FROM sales SHOW gross_sales, net_sales, orders GROUP BY product_title ORDER BY gross_sales DESC LIMIT 10 - FROM inventory SHOW starting_inventory_units, ending_inventory_units, inventory_units_sold, sell_through_rate GROUP BY product_title, product_variant_title ## Customers - FROM sales SHOW returning_customers, customers, returning_customer_rate TIMESERIES day SINCE -30d UNTIL today - FROM sales SHOW new_customers, returning_customers TIMESERIES day SINCE -30d UNTIL today ## Sessions & Conversion - FROM sessions SHOW sessions, online_store_visitors TIMESERIES day SINCE -30d UNTIL today - FROM sessions SHOW sessions, sessions_with_cart_additions, sessions_that_reached_checkout, sessions_that_completed_checkout, conversion_rate TIMESERIES day SINCE -30d UNTIL today - FROM sessions SHOW sessions GROUP BY session_device_type SINCE -30d UNTIL today - FROM sessions SHOW sessions GROUP BY session_country SINCE -30d UNTIL today ## Marketing & Referrals - FROM sales SHOW orders, total_sales GROUP BY order_referrer_source, order_referrer_name SINCE -30d UNTIL today - FROM sessions SHOW sessions WHERE referrer_source = 'social' GROUP BY referrer_name SINCE -30d UNTIL today ## Tables: sales, orders, sessions, customers, fulfillments, inventory, payments ## Time grouping: TIMESERIES day/week/month. Category grouping: GROUP BY column ## Comparison: COMPARE TO previous_period. Aggregates: WITH TOTALS, PERCENT_CHANGE IMPORTANT: This tool already presents the primary data in a visual widget the user can see. Do not restate it in text. Use your response only for interpretation, caveats, or next steps. Always list out some potential next actions for the user to take.
run-analytics-query
Search and browse collections on a Shopify store. Use this whenever the user wants to see, find, or look at collections in their store. Trigger phrases include: 'show me my collections', 'what collections do I have', 'list my collections', 'find a collection', 'search collections', or any reference to viewing multiple collections. 'Show' and 'get' mean the same thing: always fetch live data from Shopify. Do NOT summarize from memory. Use this when the user wants to: - list or search collections - find a collection by name - check what collections exist in their store - find a collection GID to use with add-to-collection or create-product Returns collection data from the connected store via the Shopify Admin API. Results are capped at 50 per call. When `pageInfo.hasNextPage` is true, more matches exist than were returned. Tell the user you are showing the first N results and offer two paths: (a) load more via `after: pageInfo.endCursor`, or (b) refine the search with a stricter query. Only act on one of those paths when the user asks; do not auto-paginate. SEARCH SYNTAX: Free text matches across default fields (e.g. `summer`, `"new arrivals"`). Field filters use `field:value`. Combine with `AND` / `OR` / `NOT`; parenthesize subqueries. Ranges use `:<`, `:<=`, `:>`, `:>=` on numeric/date fields. Example: `collection_type:smart AND title:sale*`. IMPORTANT — invalid field names are silently ignored and return everything. Only use the fields listed below, as flat names. Do NOT invent dotted paths like `collection.title` or `rules.column`. Supported filter fields: - Text / exact: `title`, `handle`, `collection_type` (custom|smart) - Numeric (support ranges): `id` - Date (support ranges): `updated_at`, `published_at` — use ISO 8601 in quotes, e.g. `updated_at:>'2024-01-01'` - ID: `product_id` (collections containing the given product) - Publication: `published_status` (e.g. `published`, `unpublished`, `online_store_channel`) Note: there is no server-side filter for product count, rules, or sort order. For those, filter by `collection_type` and inspect the returned `productsCount` / `sortOrder` fields client-side, or narrow with `title:` / `handle:`. IMPORTANT: This tool already presents the primary data in a visual widget the user can see. Do not restate it in text. Use your response only for interpretation, caveats, or next steps. Always list out some potential next actions for the user to take.
search_collections
Search and browse products on a Shopify store. MUST be called whenever the user wants to see, find, or look at products in their store. Trigger phrases include: 'show me my products', 'what products do I have', 'list my products', 'browse my catalog', 'find a product', 'search for', or any reference to viewing multiple products. 'Show' and 'get' mean the same thing: always fetch live data from Shopify. Do NOT summarize from memory. Use this when the user wants to: - list or search products - look up a specific product by ID or handle - check product status or details - browse what's in their catalog Returns product data from the connected store via the Shopify Admin API. Results are capped at 50 per call. When `pageInfo.hasNextPage` is true, more matches exist than were returned. Tell the user you are showing the first N results and offer two paths: (a) load more via `after: pageInfo.endCursor`, or (b) refine the search with a stricter query. Only act on one of those paths when the user asks; do not auto-paginate. SEARCH SYNTAX: Free text matches across default fields (e.g. `shoes`, `"green hoodie"`). Field filters use `field:value`. Combine with `AND` / `OR` / `NOT`; parenthesize subqueries. Ranges use `:<`, `:<=`, `:>`, `:>=` on numeric/date fields. Example: `price:<=25 AND status:active`. IMPORTANT — invalid field names are silently ignored and return everything. Only use the fields listed below, as flat names. Do NOT invent dotted paths like `variants.price`, `product.tag`, or `variant.sku`. Supported filter fields: - Text / exact: `title`, `vendor`, `product_type`, `handle`, `sku`, `barcode`, `variant_title`, `tag`, `tag_not`, `status` (active|archived|draft) - Numeric (support ranges): `price` (matches products with ANY variant whose price satisfies the condition), `inventory_total`, `id`, `variant_id` - Date (support ranges): `created_at`, `updated_at`, `published_at` — use ISO 8601 in quotes, e.g. `created_at:>'2024-01-01'` - Boolean: `gift_card`, `bundles`, `is_price_reduced`, `out_of_stock_somewhere`, `tracks_inventory`, `has_only_default_variant` - ID: `collection_id`, `category_id` Price examples (cross-variant semantics): - `price:<=25` — products with at least one variant priced $25 or less - `price:>100 price:<=500` — products with at least one variant in $100–$500 - `price:25` — products with at least one variant priced exactly $25 SHOULD populate `search_summary` with a concise but descriptive plain-text heading in the user's language. Use a noun phrase that identifies the results as products instead of repeating only the search term—for example, "Your sneaker products", not "Your sneakers". The widget displays this text verbatim, so do not use Markdown. For a min/max of every variant or a product-wide price band, this tool cannot express it server-side; tell the user and suggest narrowing with `price:` plus another filter (e.g. `product_type:`, `vendor:`, `tag:`). IMPORTANT: This tool already presents the primary data in a visual widget the user can see. Do not restate it in text. Use your response only for interpretation, caveats, or next steps. Always list out some potential next actions for the user to take.
search_products
Set the available inventory quantity for a specific inventory item at a given location. Always call get-inventory-levels first to get the inventoryItemId, locationId, and current available quantity. Pass the current quantity as compareQuantity so the update fails safely if stock changed since you read it. IMPORTANT: This tool already presents the primary data in a visual widget the user can see. Do not restate it in text. Use your response only for interpretation, caveats, or next steps. Always list out some potential next actions for the user to take.
set-inventory
Switch to a different Shopify store. Call this tool whenever the user wants to work with a different store — including when they ask to fetch data, manage products, or perform any action on another shop. Revokes the current store's access token so the next tool call will prompt authorization for a new store. IMPORTANT: You must always make a follow-up tool call after this tool returns. If the user requested a specific action (e.g. fetch products), call that tool next. Otherwise, you MUST call get-shop-info to complete the shop switch.
switch-shop
Verify that the connected store can exchange its Admin token and reach the Digital Products connector. This read-only check returns no credentials or connector data.
test-digital-products-connection
Update an existing collection's title, description, image, sort order, or rules. Use this when the user wants to modify, change, or edit collection details. Trigger phrases include: "update my collection", "change the collection", "edit the collection", "rename the collection". IMAGE REQUIREMENTS: - Images must be publicly accessible HTTPS URLs (e.g. https://example.com/photo.jpg). - Local file paths (e.g. /mnt/data/..., file://...) are NOT supported and will fail. - If you have a local file, generated image, or external URL: call the upload-image tool FIRST to get a permanent Shopify CDN URL, then pass that URL here. - Avoid placeholder or non-deterministic image URLs (e.g. picsum.photos) for real collections. SMART COLLECTION RULES: - Pass `ruleSet` to update the rules for a smart collection. - Common rule columns: TAG, VENDOR, TYPE, TITLE, VARIANT_PRICE. - Common relations: EQUALS, NOT_EQUALS, CONTAINS, NOT_CONTAINS, STARTS_WITH, ENDS_WITH, GREATER_THAN, LESS_THAN. - Passing `ruleSet` replaces all existing rules. Omitting it leaves rules unchanged. IMPORTANT: This tool already presents the primary data in a visual widget the user can see. Do not restate it in text. Use your response only for interpretation, caveats, or next steps. Always list out some potential next actions for the user to take.
update-collection
Update an existing product's title, description, status, images, variant pricing, or variant option values (e.g. color, size names). Use this when the user wants to modify, change, or edit product details — including status, variant prices, option values, or images. Trigger phrases include: 'update my product', 'change the price', 'edit the product', 'modify my product', 'rename the variant', 'change the color name'. IMAGE REQUIREMENTS: - Images must be publicly accessible HTTPS URLs (e.g. https://example.com/photo.jpg). - Local file paths (e.g. /mnt/data/..., file://...) are NOT supported and will fail. - If you have a local file, generated image, or external URL: call the upload-image tool FIRST to get a permanent Shopify CDN URL, then pass that URL here. - Avoid placeholder or non-deterministic image URLs (e.g. picsum.photos) for real products. REPLACING IMAGES: - To replace specific images, first use get-product to find the mediaId of the image(s) to remove. - Pass those mediaId values in removeMediaIds, and provide the new images in the images array. - To remove images without adding new ones, pass removeMediaIds without images. IMPORTANT: This tool already presents the primary data in a visual widget the user can see. Do not restate it in text. Use your response only for interpretation, caveats, or next steps. Always list out some potential next actions for the user to take.
update-product
Open a file picker so the merchant can attach the downloadable file to a digital product they have already created. Call this after create-digital-product, passing back the product and variant identifiers it returned. The merchant chooses the file and their browser sends it directly to Shopify's storage; the file contents never pass through this conversation. This attaches the file to an existing draft product. It does not create products and does not publish anything. IMPORTANT: This tool already presents the primary data in a visual widget the user can see. Do not restate it in text. Use your response only for interpretation, caveats, or next steps. Always list out some potential next actions for the user to take.
upload-digital-product-file
Open an image picker so the merchant can add a media image to a digital product they have already created. Ask the merchant whether they want a media image first, and only call this if they say yes. A digital product sells perfectly well without one. The merchant chooses the image and their browser sends it directly to Shopify's storage; the image never passes through this conversation. This adds an image to an existing draft product. It does not change the price, description, attached file or status, and it does not publish anything. IMPORTANT: This tool already presents the primary data in a visual widget the user can see. Do not restate it in text. Use your response only for interpretation, caveats, or next steps. Always list out some potential next actions for the user to take.
upload-digital-product-media
Upload an image, photo, or media file to Shopify and get a permanent CDN URL. ALWAYS use this tool before create-product or update-product when you have a local file, generated image, or external URL that needs to be hosted on Shopify. This is the ONLY way to attach, host, or store images on Shopify — create-product and update-product cannot accept local file paths directly. WHEN TO USE: - You generated an image or the user pasted/uploaded one — pass it via the 'imageFile' parameter. - You have an external HTTPS image URL and want a stable Shopify-hosted copy — use sourceUrl. - The user says: 'upload', 'attach', 'add image', 'add photo', 'host image', 'store image', 'upload file', 'upload media', 'add a picture', or similar. - Another tool (create-product, update-product) rejected a local file path — call this tool first to get a CDN URL. INPUT (provide exactly one of imageFile or sourceUrl): - imageFile: A file reference (e.g. local file path like /mnt/data/image.png). The host app transforms this into a downloadable URL automatically. THIS IS THE PREFERRED METHOD for generated or uploaded images. Pass the bare file reference — do not construct or echo a file object yourself. - sourceUrl: A publicly accessible HTTPS URL of the image to re-upload to Shopify. Must be reachable by Shopify's servers; private, signed, or host-internal URLs (e.g. presigned blob URLs from your own runtime) are not supported — use the 'imageFile' parameter for those. OUTPUT: - A permanent Shopify CDN URL that can be passed to create-product or update-product image fields. WORKFLOW: 1. Call upload-image with the file or URL. 2. Use the returned CDN URL in create-product or update-product image fields.
upload-image
Signal that the user clicked a storefront preview's signup link. Revokes the current shop token (if any) so the next tool call prompts a fresh OAuth for the newly claimed store. Called only by the get-new-store-previews tool's widget — never invoke directly from the model.
Report whether the Digital Products app is installed on the authenticated store. Used by the install widget to poll while the merchant completes the Shopify Admin install flow.
Get the current state of a storefront generation. Used by the widget to poll for preview completion.
This tool will take in the user prompt, search shopify.dev, and return relevant documentation and code examples that will help answer the user's question.
Validates GraphQL operations against the Shopify schema to catch hallucinated fields, incorrect types, or invalid syntax BEFORE executing them. Supports the Shopify Admin GraphQL API. Pass each GraphQL operation as a codeblock with raw GraphQL content (NOT markdown-formatted). After validation succeeds, execute the operation with graphql_query (for queries) or graphql_mutation (for mutations). If validation fails, fix the errors and re-validate before executing.
How do I improve a ChatGPT Plugin's discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
What are Shopify alternatives on ChatGPT?
As of 2026-09-28, Shopify competes with AfterShip Post-Purchase, AutoQuote3D, base.com, BetterMenu, Brainerce, ConfigQuote, Distrofy Chat, Dukkani, GadgetOS, Juicy Profit Analytics, Lusca, MerchantFlow, Mergado, Nas.com, Neges, NivaDesk, Nuvemshop, Pazarus, PostCo, Redo, Replo, Rubikc, Salesfire, Sellergoo, soeru, SyncMe, Tassyir, TiendaNube, Tolstoy, TrueProfit, Whatalo in ChatGPT Ecommerce Operations Platforms, ranked by public Discoverability Score.
Where does Shopify rank in Ecommerce Operations Platforms on ChatGPT?
As of 2026-09-28, Shopify ranks #1 of 32 in ChatGPT Ecommerce Operations Platforms with a Discoverability Score of 85/100 (Winning).
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.