Sico AgenticSEO audits your Shopify catalog for AI-search visibility and injects semantic metafields and JSON-LD so AI shopping assistants can read your products.
Free during the private beta. No credit card. Bring your own Shopify token.
AI-readiness score
IllustrativeMerino Wool Crew Sweater
Illustrative example — your real scan reads your live catalog
You create a Custom App in your own Shopify admin, grant it read_products and write_products, install it, and paste the Admin API access token. No App Store install and no OAuth consent screen. Your token is encrypted at rest, and AgenticSEO only ever writes the semantic metafields and JSON-LD you approve — it never touches your pricing, inventory, orders, or customers.
Score the signals AI assistants actually read — then fix them, with your sign-off.
Connect your Shopify store with a Custom App token. We pull your live catalog and score every product on what AI assistants demonstrably rely on — structured attributes, JSON-LD product data, and descriptions that answer the questions shoppers actually ask.
Approve the proposed fixes and we write standardized custom.ai_attributes / custom.semantic_context metafields and rewritten, answer-shaped descriptions straight back to Shopify via the API — no CSV wrangling. We also generate a complete schema.org JSON-LD block and store it in a custom.json_ld metafield, ready to publish once your theme reads it.
We publish a machine-readable llms.txt of your optimized catalog for the agent tooling that reads it — agent frameworks, MCP integrations, and agentic-commerce clients. A cheap forward bet on agentic shopping; the scan and schema work above is what moves AI visibility today.
Three steps from a raw catalog to AI-readable product data.
You create a Custom App in your own Shopify admin, grant it read_products and write_products, install it, and paste the Admin API access token. No App Store install and no OAuth consent screen. Your token is encrypted at rest, and AgenticSEO only ever writes the semantic metafields and JSON-LD you approve — it never touches your pricing, inventory, orders, or customers.
Deterministic catalog rules plus an LLM pass score every product on the signals AI assistants rely on — structured attributes, JSON-LD, and descriptions that answer real shopper questions. You get a readiness score and a per-product gap list.
Review the proposed fixes and approve them. AgenticSEO writes standardized semantic metafields and rewritten descriptions straight to Shopify, generates a schema.org JSON-LD block into a metafield ready for your theme to publish, and produces a machine-readable llms.txt of your optimized catalog for agent tooling that reads it.
Assistants like ChatGPT, Perplexity, and agentic shopping tools don't render your storefront the way a browser does — they read the crawlable, structured signals behind it: the product's attributes, its JSON-LD (schema.org) markup, and description text that plainly answers what a shopper is asking. If those signals are thin or missing, an assistant has little to go on when it decides what to surface. AgenticSEO scores your catalog on exactly those signals and fills the gaps.
Two things, both written back to Shopify via the API — no CSV exports. First, standardized semantic metafields (custom.ai_attributes and custom.semantic_context) plus rewritten, answer-shaped product descriptions and SEO fields; these apply immediately with no theme edits and give AI assistants richer, crawlable signals to read. Second, a complete schema.org JSON-LD Product block per product — the structured-data format Google's own AI-optimization guidance points at — stored in a custom.json_ld metafield. Surfacing that JSON-LD block in your live storefront depends on your theme reading the metafield, so it's a ready-to-publish asset rather than an instant change.
Straight answer: not the way it's often sold. Google has said it does not use llms.txt for AI Overviews or AI Mode, and OpenAI has never said ChatGPT search reads it — one large study found ~97% of llms.txt files drew zero AI-bot traffic. We still publish one because agent tooling genuinely reads it (agent frameworks, MCP integrations, agentic-commerce clients), so it's a cheap forward bet on where agentic shopping is going. It is not the mechanism that gets your products cited today — the scan and structured-data work is.
Yes — writing improvements back is the whole point, so it does need write_products. But it's bounded and approval-gated: it only ever writes the semantic metafields and JSON-LD you approve after reviewing the scan, and it touches nothing else. It never changes your pricing, inventory, orders, or customers. Your token is encrypted at rest and you can revoke it in Shopify at any time.
You create a Custom App in your own Shopify admin (Settings → Apps and sales channels → Develop apps), grant it read_products and write_products, install it, and paste the Admin API access token. There's no App Store install and no OAuth consent screen — you hold the credential and can revoke it whenever you like.
It's free during the private beta. You can connect your store, run a full readiness scan, and inject the approved fixes at no cost while we're in beta — no credit card required.
Free during the private beta. No credit card. You approve every change.
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