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Tru Commerce
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AGENTIC COMMERCE INFRASTRUCTURE

Discover. Recommend.
Transact. In one experience.

The unified commerce layer for AI agents. Connect your catalog, close gaps in AI recommendations, and turn shopping conversations into a path to purchase.

30 minutes·with a founder·no card
The connected storefrontIllustrative flow

Your product catalog

Products · pricing · availability

01
Tru CommerceStructure. Connect. Measure.
ChatGPTGeminiPerplexity

“An everyday sneaker under $150?”

A relevant match

North everyday sneaker

USD 129 · In stock

Merchant checkoutYour store. Your customer.

Discovery and checkout availability vary by agent and integration.

22% → 56%ChatGPT mention share · House of Zelena · 6 months

The commerce layer

Your catalog is the starting point.
The purchase is the destination.

Tru Commerce connects the work between them: product data, agent experiences, and measurement. Start with the gap that matters to your business.

01

Catalog intelligence

Make your products understandable.

Turn product pages into structured information: what the product is, who it is for, what it costs, and whether it is available.

Product attributes · feeds · availability

Explore catalog intelligence
02

Agent commerce

Connect intent to your storefront.

Bring relevant products into shopping conversations and connect supported agents to your checkout, with your store managing the order.

Agent storefronts · checkout · order events

Explore agent commerce
03

Visibility & measurement

Understand what is working.

Track mentions, recommendations, and attributed activity separately. Identify the product and source gaps that your team can act on.

Citation tracking · source analysis · attribution

Explore visibility & measurement

Inside the experience

One product. From the first question to checkout.

Follow a sample product through the three stages. See what the shopper experiences and what your team manages.

For your commerce team

Give agents the product details that matter.

A shopper asks for a use case, a budget, and a preference. Connect those needs to structured product attributes, accurate pricing, and current availability.

A catalog agents can understand
Explore catalog connectivity
North / sample storefrontInteractive example

North everyday sneaker

SKU NORTH-001

Category
Everyday sneakers
Use case
Daily walking
Price
USD 129
Availability
In stock
Size
US 8 / 9 / 10

How it works

Three steps. No re-platforming

01

Connect your store

Start with your storefront and catalog. Review the integration options for your platform and identify missing product attributes before rollout.

You getA catalog readiness baseline

02

Choose your first use case

Prioritize the category, products, and shopper questions that matter. Agree on the target agent surfaces and the work needed to support them.

You getA focused implementation plan

03

Launch, measure, improve

Validate the experience on supported surfaces. Track recommendation coverage and attributed activity, then use the findings to guide the next set of fixes.

You getA measured rollout with next actions

Integrations

Your platform. A clear path to agent commerce

Start with your existing storefront. Live integrations are ready to use; available integrations are scoped per engagement. Planned protocols are on the roadmap.

Paid discovery

Bring paid discovery into your commerce plan

Explore campaign setup, product feeds, creative, and measurement in the ChatGPT Ads hub. Use the published guides and cost calculator to plan your test, and the ad library to study observed placements before building your own.

Featured proof · Marketplace

Amazon

+0.98%

Share of Voice

+2.4%

Top-5 Presence

+5.53%

Price Competitiveness

-2.5%

Absent Rate

In 6 weeks. Across marketplace.

Tru Commerce tracking platform · Jan W1 → Feb W2 · Amazon marketplace

Read the full case study

Across verticals

Measured results, with the context

Explore the starting point, work completed, and measurement window behind each case study.

House of Zelena · 6 months

ChatGPT mention share, 22% → 56%

Measured at baseline and month 6. Category rank moved #6 → #1 across three LLMs in the same window.

0%20%40%60%22%56%BaselineMonth 6

Read the full case →

Behind the result

What changed, over what period, and on which surface?

House of Zelena went from #6 to #1 across three LLMs against incumbents with 50× the marketing spend — specific claims, structured data, and citation building, tracked weekly.

In their words

260%

AI search mentions · Amazon

Tru Commerce transformed how we track our brand visibility. We've seen a 260% increase in AI search mentions since we started measuring AI Share of Voice across our categories.
Ankita Bajaj Shankar

Ankita Bajaj Shankar

Senior Brand Manager · Amazon

See all case studies →

Pricing

Priced by catalog size. Published, not gated

Three brackets scoped by SKUs. No hidden numbers. No annual commit - and the free tools give you a baseline before you pay anything.

Starter

$800

per month · 1-50 SKUs

  • Full AI visibility tracking - SoV, position, sentiment
  • Feed, GMC + PDP optimization for a focused catalog
  • AI traffic attribution (DACT)
  • Agent-ready catalog connection
  • GA4 + Search Console integration
Book a demo

Growth

$1,500

per month · 51-250 SKUs

  • Everything in Starter
  • Broader catalog coverage
  • MCP deployment
  • ACP + UCP compliance
  • Merchant transaction dashboard
  • Connectivity to 8 AI agents
Book a demo

Pro

Custom

250+ SKUs · full catalog

  • Everything in Growth
  • Full catalog, dedicated ops
  • Custom integrations (PIM, ERP, OMS)
  • Dedicated success manager
  • SLA 99.9%
  • 24/7 support
Book a demo

Before you connect

A few practical questions.

Start with a clear scope, a supported integration, and a baseline you can measure.

Talk through your setup →

Start with a free Citation Rank scan to understand your current visibility. For an implementation, bring your storefront URL, priority categories, and the problem you want to solve: product discovery, checkout, or measurement.

Insights

The agentic commerce frontline, weekly

All 174 articles →

AI Search Visibility · Sep 23, 2026

Reddit Marketing Services: Who Actually Does What

Most Reddit agency lists are opinion. This one is built from 33 live AI answers measured across ChatGPT, Gemini, Perplexity, Copilot and Google AI Mode in three markets, showing which firms assistants actually name when a buyer asks. Full disclosure: we publish this list and we are on it, so every placement carries the number behind it.

Citation Rank & Share of Voice · Sep 23, 2026

Reddit Monitoring Tools, Ranked by What AI Assistants Say

Fourteen tools, measured across 18 live AI answers on six engines in three markets. Syften leads on frequency, Brandwatch and Brand24 follow, and the best-known name in the category carries the worst sentiment of the set. Plus the job none of them are built for: telling you whether a Reddit thread produced an AI citation.

Citation Rank & Share of Voice · Sep 23, 2026

Why AI Search Engines Cite Reddit So Often

Across 3,750 tracked AI answers on five engines in three markets, reddit.com is the most-cited domain we measure - 439 citations in the AI-visibility corpus, appearing in more separate answers than any other source. But community content is only about 5% of all citations. Reddit is not most of the evidence; it is the most concentrated single piece of it. Here is the measured picture, the Google-versus-OpenAI split nobody talks about, and what it means for a brand.

From the founders

We spent two years measuring which brands AI agents recommend - and the ones with the widest gaps kept asking the same question: we can see it, but how do we close it? Tru Commerce is our answer. The infrastructure that makes your catalog readable, recommendable, and buyable by every agent - without you losing the customer, the data, or the margin.

Find your next opportunity in AI commerce

Book a demo or talk to founders