Shoppers ask agents what to buy. Be the store the answer names.
ChatGPT, Claude, Perplexity, Gemini and Copilot answer with a handful of named stores — you're in the answer or you're invisible. Inception Agents makes your store the one agents recommend, and proves the revenue it sends you.
Transactable isn't recommended.
Your platform's default agent layer makes you purchasable: checkout rails, a product feed, an entry in a cross-store catalog. None of it makes an agent choose you — and when your products carry two-sentence descriptions and no structured attributes, the agent quietly recommends the store it can read.
- Agents filter on the attributes shoppers ask by — fit, materials, ingredients, dietary flags, compatibility. Catalogs without them never make the shortlist.
- Cross-store catalogs rank you beside every competitor, with your brand voice stripped out.
- None of it shows in your analytics: the shopper never searched, never landed, never bounced. The agent decided.
Watch the answer get won.
The same category, on a store agents can read. The chat is what the shopper sees; the rail is the structured layer Inception Agents serves underneath — your catalog, your claims, your trace.
Your catalog, structured to win the answer.
Inception Agents serves agents your real catalog, enriched with brand-authored decision data — the attributes, comparisons and honest trade-offs an agent needs to recommend you with confidence. It runs as a parallel layer on your own domain: shoppers see your normal site, agents finally see your store.
- Every product completed for machine buyers: attributes, GTINs, availability, and the why-choose-this story in your own words.
- Present on every surface agents read — JSON-LD, llms.txt, agent endpoints, MCP, ACP and UCP — from one activation.
- Agentic Revenue Cards render your products, your brand and checkout inside the thread, on your own Stripe.
Be found. Be legible. Be chosen. Be counted.
Four moves turn a storefront into the store agents recommend — and every one runs as a parallel layer on the stack you already have.
From a question in a thread to an order you can trace.
Every agentic purchase moves through the same five moments. The store that wins is legible at every one of them.
- 01 Intent declared Intent Graphshopper Hands the agent the whole brief — use case, constraints, budget — in one sentence.agent Hits your catalog with structured filters built from the shopper’s actual words.
- 02 Catalog audited Inception Pointsshopper Waits a few seconds while the agent reads every store it can.agent Parses attributes, GTINs, pricing, availability — and quietly routes around catalogs it can’t read.
- 03 Claims checked Honesty Pipelineshopper Asks which option is actually right for them.agent Weighs your brand-authored comparisons and honest trade-offs against every alternative.
- 04 Purchase made Decision Engineshopper Buys in the thread, or clicks through to your store to finish.agent Renders your card — your brand, your checkout, your Stripe — or hands off a traced click.
- 05 Order counted Re-activationshopper Becomes a customer you can actually keep.agent Inception Trace attributes the sale; the intent behind it feeds your audiences and replenishment.
Your analytics end at a referrer. The journey started earlier.
Today, agent demand reaches your reports only when a UTM tag survives the click — one visit, context stripped. Inception Trace stitches the agent's query to the shopper's arrival and the order that follows: deterministic, first-party, no cookies.
- See the queries agents ran, the comparisons you were in, and the evaluations that never became a click.
- Every agent-driven order attributed — a channel you can report, budget against, and grow.
- The intent behind each purchase feeds replenishment timing and audiences you actually own.
Keep your stack. Speak your category.
One activation on the storefront you already run, with the depth your category demands.
Any storefront.
Shopify, WooCommerce, BigCommerce, Salesforce Commerce Cloud, Adobe Commerce, or a headless front end — the layer sits on top of the store you have. Nothing about your human site changes. See the platform connectors →
Honest by design.
Agents reward complete, truthful data and penalize cherry-picking. Structured honesty — including what a product is not for — earns recommendations that hold up.
Your category, spoken.
Skincare shoppers ask by ingredient and concern; runners ask by fit and terrain. The catalog is structured for how your buyers actually ask. See it for health & beauty →
Your next customer is asking an agent right now.
See how your store reads to shopping agents today — then make yours the store the answer names.