The shopper has a 12-foot living room with 7-foot ceilings, a mid-century rug, and a partner who hates beige. The agent needs to know your sofa's depth, your color truthfulness, and your delivery window — not just that it photographs well.
When the shopper describes their space, Inception Agents delivers your verified dimensions, lead time to their ZIP, and color-truthful swatches before the agent picks a sofa. Wrong size means returns; the data prevents them.
Home is the highest-stakes ecomm category. Wrong size means returns. Wrong color means regret. The agent's whole job is to de-risk the purchase.
Home is the highest-stakes ecomm category — wrong dimensions mean returns, wrong color means regret. The six pillars work together to de-risk the purchase before the agent ever recommends.
How agents discover your catalog
Your catalog becomes browsable by room dimension, style, and material constraints.
A home agent searches by space, not by SKU. Inception Points expose your full dimensional data — length, depth, seat height, ceiling clearance — alongside style tags, material durability ratings, and color families. The shopper's room becomes a query your catalog can answer.
Your store’s agent evaluating in real time
Fit, lead time, white-glove vs threshold — the decision dimensions home shoppers care about.
When the Decision Engine evaluates your sofa against Article's or West Elm's, it weighs more than price. It weighs your real lead time to the shopper's ZIP, your assembly model, your return policy on oversized items. Get those structured signals right and the agent recommends with confidence.
The signal map your category produces
Room dimensions, style preferences, project context — the home signal mix.
Home intent is unusually project-shaped. "Furnishing a first apartment." "Mid-century overhaul." "Nursery before April." The Intent Graph captures the project context across the shopper's full agent session, so a sofa query and a rug query and a lamp query stitch into one buying journey.
What compounds with every visit
Project-aware. The graph learns that the sofa buyer is buying for a whole room.
The Learning Engine notices that shoppers who land on Hollis from a 12ft-room query come back within 2 weeks looking at coffee tables and rugs. That pattern flows into how your catalog surfaces complementary pieces — the room sells, not just the sofa.
Recovering the buyer the agent already evaluated
The room isn't done in one session. Re-activation knows what's missing.
Home is a multi-week, multi-session project. Re-activation builds intent-based audiences from the shopper's full project signal — sofa bought, but rug, lamp, and side table still unclaimed. Your targeted ads complete the room.
The trust dimensions agents reward
Dimension accuracy, color truthfulness, material reality — the home trust dimensions.
AI agents catch inflated photos, vague "fits most spaces" claims, color photos that don't match real fabric. The Honesty Pipeline audits your product copy for the exact patterns that get filtered out of agent recommendations — dimension precision, lab-calibrated swatches, real lead times — so your sofa earns the recommendation.
Inception Agents sits between your commerce platform and every major AI agent. Whether you run Shopify, Woo, BigCommerce, SFCC, Magento, or Vercel, one activation makes your store agent-ready. Turnkey, instant, permanent.
Across early-access home tenants, 64% of agent product queries include a dimensional constraint (room size, ceiling height, doorway width). Catalogs with full dimension metadata get recommended; catalogs with "fits most rooms" copy get skipped.
A free audit checks your catalog for the dimension, color, and lead-time signals home agents actually filter on — and shows you what to fix first.
