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Retail & Ecommerce · Readiness check

Would an AI agent choose your brand over your competitor's — right now?

Answer five scenarios about your store. Get a Product & Customer Intelligence Score, benchmarked against other retail brands, in about two minutes.

2 min
Time to complete
5
Dimensions scored
240+
Brands benchmarked
Agent session · shopper intent
"Best waterproof running shoe under $160, in stock in a 10 — ship by Friday."
Agent cites 3 brands
01Competitor Alive inventory
02Competitor Bstructured feed
03Your brandnot resolved
resolving product context…
The check

Five dimensions of agentic readiness

Answer honestly — the report is only as useful as the picture it starts from.

Readiness check · liveTakes about 2 minutes
03 — How it works

The missing piece isn't the AI model. It's the context layer.

Syntasa turns idle warehouse data into one queryable intelligence layer — customer, product and business context, served to every agent at the moment of intent.

Step 01 · Your data
BigQuery
Snowflake
Databricks
Merchant Center · feeds

Warehouse-native, zero-copy. Nothing leaves your environment.

Step 02 · Syntasa MCP server
Context
layer
CustomerProductBusiness

One queryable layer, delivered at the moment of intent — inventory, price, eligibility, identity.

Step 03 · Every agent
Your site agentGeminiChatGPTClaudeDynamic feeds

One strategy across your own surfaces and every external agent.

Let's see where you stand

Where does your business stand?

Five dimensions. Two minutes. A tailored Readiness Report with a dimension-by-dimension breakdown and your recommended next step.

Start the readiness check
The brand that gets chosen
01Chosen by agents on your site, in Gemini, ChatGPT and Claude
02Personalised in real time: loyal versus new, premium versus deal-seeker
03Conversation-level measurement of what actually drives revenue