AI search readiness Get products ready for AI search with Antigravity
Getting products ready for AI search with Antigravity means asking Google's agentic IDE to read a product's GEO score in StoreSEO, preview the FAQs and AI snippet it can generate, and rewrite a thin description once you have answered StoreSEO's questions.
Last updated: October 2026
Set up Antigravity for StoreSEO
Skip this if Antigravity is already connected. The full guide, with the alternatives, is on the Antigravity page.
- 1
Add StoreSEO in View raw config
In the Antigravity IDE open the menu in the agent side panel, choose MCP Servers, then Manage MCP Servers, then View raw config. Paste this into mcp_config.json and save. The field is serverUrl: Antigravity does not support url or httpUrl for remote servers.
JSON{ "mcpServers": { "storeseo": { "serverUrl": "https://mcp.storeseo.com/mcp" } } } - 2
Sign in, then check the connection
Open Agent settings (Cmd+, on Mac, Ctrl+, on Windows and Linux), go to Customizations and click Authenticate next to storeseo. Pick your Shopify store and approve in the browser, copy the authorization code it shows, paste it into the settings panel and click Submit. Then ask this in the agent panel.
PromptUse StoreSEO to show me my store's SEO score breakdown.
How does this work in Antigravity?
You work in the Antigravity agent panel with your theme project open and ask which products AI shopping agents will struggle with. The agent calls storeseo_start, then storeseo_list_resources sorted by score and storeseo_get_resource_seo for the candidates. Each product's GEO block returns a score and the criteria that fail, which the agent summarizes: no FAQs, no AI snippet, thin description, alt text missing on a couple of images. Antigravity runs unconfigured MCP tools in Ask mode, so expect an approval request before each call in this first pass unless you have set a policy.
For a fix, the agent calls storeseo_preview_resource_optimization after saying it spends AI credit, and shows the drafted FAQs, the AI snippet and the projected GEO score. StoreSEO tells it to wait for your yes before storeseo_apply_resource_optimization, and Ask mode adds Antigravity's own approval on the call, so the step is checked twice. If product schema is off, the agent explains that it is a store-wide setting before using storeseo_update_schema_settings, and it turns off only a schema it enabled for this flow if you stop short of applying.
Descriptions go through storeseo_scan_product_description, with StoreSEO's questions put to you in the panel word for word and your answers typed back. Only then does the agent propose storeseo_write_product_description, with the warning that the new text replaces the current one at once. Since Antigravity works in your project, ask it to save the previous description from the write response to a file there.
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You: Scan the description of Ceramic Pour Over for AI agents.
- storeseo_start read-only
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Antigravity: The scan spends AI credit and writes nothing, and it needs a focus keyword on the product. Do you want me to run it?
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You: Yes, run it.
- storeseo_scan_product_description preview
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Antigravity: StoreSEO has seven questions. First, word for word: what materials is this product made from?
What to ask Antigravity
Use StoreSEO to list my five lowest GEO-scoring products and what each is missing for AI shopping agents. Read only.
Make Merino Beanie ready for AI search: preview FAQs and an AI snippet, show me the projected GEO score, and wait for my yes.
Scan the description of Ceramic Pour Over for AI agents, ask me StoreSEO's questions in order, and keep the old description in a file in this project.
- Which of my products have the lowest GEO score, and what is missing for AI shopping agents?
- Make the product Merino Beanie ready for AI search: FAQs, AI snippet and product schema. Preview first.
- Scan the description of my best seller for AI agents and ask me the questions it needs.
- Rewrite the description of Ceramic Pour Over from my answers. Keep a copy of the old one for me.
- Is product JSON-LD schema enabled on my store? If not, explain what turning it on changes.
What StoreSEO does: ai search readiness
GEO is StoreSEO's AI readiness score for products. The agent reads which GEO criteria fail, fixes the ones a tool can fix (FAQs, AI snippet, alt text, product schema), and can rewrite a thin description from your own answers to StoreSEO's questions.
Requires: FAQs, AI snippets and descriptions spend AI Content Optimizer credit. The product needs a focus keyword, set in the StoreSEO app, before a description scan or rewrite.
- 1
Read the GEO checklist
The agent reads the product's GEO block: the score and every AI-readiness criterion that passes or fails.
- 2
Turn on product schema if it is off
Product JSON-LD is a shop-wide setting, so enabling it clears that criterion for every product at once. If you then decide not to apply the rest, the agent switches back off only the schema it turned on.
- 3
Preview FAQs and the AI snippet
The preview generates FAQs and an AI snippet (summary, benefits, best for) and projects the new SEO and GEO scores without saving.
- 4
Scan the description
For a thin or missing description, StoreSEO scores it on seven pillars (identity, materials, dimensions, features, use cases, what is included, care) and returns questions. The agent asks you each one, word for word.
- 5
Write and apply
With your answers, StoreSEO writes the description and saves it immediately; the response holds the only copy of the old text. The previewed FAQs and snippet are applied after your yes.
AI search readiness reference
| Scope | Products only; collections, pages and articles have no GEO score |
|---|---|
| Fixable by tools | FAQs, AI snippet, image alt text, product schema, description |
| Fixed only in the app or admin | Product title, category, product type, image count, inventory, variant barcode, SKU, price, image |
| Description pillars | Identity, materials, dimensions, features, use cases, what is included, care |
| Description write | Saved immediately to Shopify and StoreSEO; no undo and no revision history |
| Old description | Returned once in the write response, the only remaining copy |
| Product schema | Shop-wide toggle; credits the schema criterion on every product |
| Prerequisite | A focus keyword on the product, set in the StoreSEO app |
Rules Antigravity follows
- The scan's questions go to you word for word and in order; the agent does not answer them for you.
- A description is only written without questions when you decline to answer or authorize a bulk run without them.
- Writing a description replaces the current one at once with no undo, so the agent asks first and keeps the old text the response returns.
- If the agent enabled product schema for this flow and you stop before applying, it turns that schema back off; it never disables a schema you already had on.
- Criteria only you can fix get one link to the product's fix page, not a link per criterion.
In Antigravity
Antigravity runs MCP tools you have not configured in Ask mode, which gives you a prompt on each call. If you add a policy that allows mcp(storeseo/*), that prompt disappears for every StoreSEO tool, including storeseo_write_product_description, which replaces the live description with no undo. StoreSEO's request to wait for your yes then becomes the only pause. Allow individual read tools instead, and keep the scan, preview, apply, schema and write tools in Ask mode.
What runs without asking. Reads such as SEO scores, store listings, settings and Google reports run straight away. Generating a preview spends AI credit but writes nothing, and StoreSEO tells the agent to say what a generation will cost before it runs one. Applying content, optimizing images, changing settings, publishing llms.txt or agents.md, writing a product description and deleting anything wait for your yes in the conversation. That yes is an instruction the agent follows, not a lock on the server, so your client's own tool-approval setting is the hard stop.
Questions
Will Antigravity ask before it rewrites a product description?
By default yes, because unconfigured MCP tools run in Ask mode, and StoreSEO also tells the agent to ask in the chat. A policy that allows the whole storeseo server removes the first of those checks.
Why does the agent ask me questions before writing a description?
StoreSEO's scan returns questions about materials, dimensions, what is included and care. Your answers become stated facts in the new copy instead of guesses, and the agent should put each question to you word for word.
What is a GEO score in StoreSEO?
GEO is StoreSEO's AI readiness score for products. It measures how well a product can be understood by AI shopping agents and generative search, using criteria such as FAQs, an AI snippet, image alt text, product schema and the quality of the description.
Can I undo a rewritten product description?
Not inside StoreSEO. The new description is saved immediately and StoreSEO keeps no revision history. The response returns the previous description once, so ask the agent to keep it for you before it writes.
Why does the agent ask me questions before writing a description?
StoreSEO scans the description on seven pillars and returns questions for the facts it cannot infer, such as materials or what is in the box. Your answers become stated facts in the new copy instead of guesses.
Does enabling product schema affect every product?
Yes. Product JSON-LD is a shop-wide setting, so turning it on clears that criterion for every product at once, and turning it off removes it everywhere.
Keep going
AI search readiness with other agents
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