The discovery layer for agentic commerce

Be found. Be chosen. Wherever shopping begins.

Unimode helps retailers see how they appear in AI answers, makes their products understandable to AI, and turns that intelligence into better shopping experiences across external AI platforms and their own site.

AI can’t recommend what your catalog doesn’t explain.

A shopper might ask for “a polished midi dress for work, with pockets and a defined waist.” But most product records stop at category, color, and size. That missing context affects whether a product is recommended, cited, clicked, and ultimately purchased.

MENTIONEDCITEDCLICKEDIN CARTevery arrow leaks
What it means for merchants

Discovery is moving upstream. The storefront visit can no longer be treated as the beginning of discovery. Products need to become legible before the click, and the conversation needs to continue after it.

Woman wearing a light blue utility midi shirt dress with a band collar, cap sleeves, chest flap pockets, self-tie belt, bellows hip pockets, and a buttoned front slit on a clean white background BAND COLLARCAP SLEEVESCHEST FLAP POCKETSSELF-TIE BELTBELLOWS POCKETSFRONT SLIT

From a basic listing to a product AI can understand.

RAW PRODUCT RECORD04 FIELDS
Women’s dress
Blue
Casual
XS–L
Low intent coverage
ENRICHED PRODUCT CONTEXTEVIDENCE ATTACHED
band collarcap sleevesself-tie waist beltbellows hip pocketschest flap pocketsbutton-front placketmidi length, front slitworkwear polish
Ready for merchant review and publication

From visibility to conversion, one connected system.

Unimode connects AI visibility, catalog intelligence, and shopping agents. Measure shows where products are being discovered. Enrich gives AI the context it needs. Deploy puts that intelligence to work wherever shoppers ask and buy.

PILLAR 01

Measure

AI Visibility

See where your brand shows up in AI answers today, where it doesn’t, and which categories carry the most commercial upside.

How you stand
PILLAR 02

Enrich

Catalog Intelligence

Rebuild catalog metadata into verified, evidence-backed attributes that agents can actually understand.

How it’s built
PILLAR 03

Deploy

Agentic Commerce

Publish enriched product context to external AI platforms and power conversational, multimodal shopping experiences on your own site.

Get citedExternal AI enginesKeep the conversationYour own shopping agent
Where it lands

See how the system works on your catalog.

Book a demo
Pillar 01 · Measure

Know where you show up and why.

See how often your brand is mentioned and cited across the AI platforms your customers already use. Compare performance by category, prompt, and competitor. Identify where better product information could improve discovery.

  • Mention and citation rates by category and intent
  • Competitive visibility on identical shopper prompts
  • Gaps between brand mentions, citations, and product recommendations
  • Opportunities tied to real commercial demand
Explore visibility measurement

Turn every product into something AI can understand.

Unimode brings imagery, descriptions, taxonomy, reviews, and operational data together to turn those signals into structured product context that merchandising teams can inspect and AI can understand.

01 / UNDERSTAND

Understand the whole product.

Bring product copy, imagery, taxonomy, reviews, and operational data into one connected view.

02 / TRANSLATE

Speak the shopper’s language.

Capture the attributes shoppers actually care about, from fit and feel to occasion, function, and style.

03 / PUBLISH

Publish with confidence.

Review and approve enriched product data before sending it to feeds, product pages, AI platforms, and shopping experiences.

Wherever the conversation starts, keep the experience connected.

Deploy the same product intelligence across external AI agents and your own shopping experiences. Whether shoppers begin on ChatGPT, Gemini, or your storefront, they get consistent, grounded answers and a seamless path from discovery to cart.

EXTERNAL AI AGENTS

Be part of the answer.

Make your products understandable and discoverable across the AI platforms shoppers already use, so the right products are recommended for the right intent.

RETAILER-OWNED SHOPPING AGENTS

Continue the conversation.

Power conversational, multimodal shopping on your own site or app using the same product intelligence. Help shoppers explore, compare, decide, and convert.

Built to launch alongside the commerce stack you already run.

Start with one category, keep the merchant in control, and expand from measured evidence without replacing the commerce stack you already run.

  1. 01 / CONNECT

    Bring source truth together.

    Catalog, PDP, imagery, reviews, taxonomy, and inventory.

  2. 02 / PRIORITIZE

    Choose where to begin.

    Use AI Visibility to find the category and intents with the clearest opportunity.

  3. 03 / DEPLOY

    Serve both destinations.

    Publish governed outputs outward and launch the owned agent alongside the storefront.

  4. 04 / IMPROVE

    Measure the same prompts again.

    Inspect the evidence, compare versions, and expand category by category.

MERCHANT CONTROL

Your team approves the vocabulary, evidence rules, publication status, agent behavior, and pace of expansion.

See the operating model

See how AI sees your brand.

Tell us your brand and priority category. We’ll show you where you appear in AI shopping answers today, where competitors are winning, and where better product context could improve your visibility.

  • Brand mention and citation rates across leading AI platforms
  • One category-level opportunity, supported by real prompts
  • A competitive comparison using identical shopper questions

Your report arrives within 2 business days. No mailing list. Just the read.

Prefer a conversation? Book a demo