Your Catalog Lies To Agents
A product feed listed an item at one price. The live store charged more than double. An agent acting on stale feed data misquotes your price, or abandons you for a competitor whose data is clean.
AI buying agents are already shopping your store: comparing your products, hunting your discounts, and checking out without ever seeing your website. Most stores are invisible to them. The rest are visible and broken. We make yours the store agents find, quote correctly, and buy from.
For twenty years, every optimization was for human eyes: prettier pages, faster loads, better photos. That era just ended. The shopper is increasingly software, an agent acting for a human, comparing five stores in seconds and buying from the one it can understand. If your product data, promotions, and checkout only make sense to a person scrolling, you are not in the comparison at all.
We did not run a survey. We pointed real AI buying agents at real transactions. Discovery worked. Checkout did not. Every failure below happened at the money moment, and every one of them is happening on stores like yours right now.
A product feed listed an item at one price. The live store charged more than double. An agent acting on stale feed data misquotes your price, or abandons you for a competitor whose data is clean.
A promo code advertised at one discount applied at a lower one. With no machine-readable promotion feed, the agent hunted coupon codes like a human with fourteen tabs open. If your offers cannot be read by software, they do not exist to software.
One color name meant three different colorways. The agent had to interpret which one the shopper meant, and that is judgment, not data. Every ambiguous variant is a wrong item shipped or a sale lost.
Shipping and tax were unknowable without a full address, so the agent could not show a real total for approval. Nobody, human or agent, approves a number they cannot see.
With no agent checkout interface enabled, the agent drove the website like a person: slow, brittle, one bot check from dead. That is not a channel. That is a hack.
The agent did everything right, found the bill, verified the amount, secured explicit human approval, and the processor declined the agent-issued card. When agents cannot pay you, they pay someone else.
Four jobs, done relentlessly: make every product, price, and promotion readable to buying agents; make checkout completable by software, not just humans; put your own selling agent in the conversation to win the order; and measure what the agents actually did, because agent-driven sales arrive with the attribution trail missing.
Your catalog, fluent in agent. We rebuild your product data the way agents consume it: live pricing and inventory, unambiguous variants, machine-readable promotions, and policies stated in structured form. No more feed versus store mismatches. No more coupon archaeology. What the agent reads is what is real.
Checkout that software can finish. We wire your store to the open agentic commerce standards, so buying agents transact through clean interfaces instead of scraping your pages. Real totals early enough to approve, guest paths that do not break mid-flow, and post-purchase tracking, returns, and support an agent can actually complete.
Your branded selling agent. Then we deploy the closer: your AI selling agent, trained on your products, your voice, and your policies. It answers the fit question, tells the brand story, suggests the bundle, and negotiates inside guardrails you set, with human shoppers on your site and with their buying agents in the background. One brain, two faces.
Attribution that survives the agent. When software buys on a shopper's behalf, the referral trail that used to tell you where a customer came from can simply be absent: no campaign, no creator link, no source. We instrument your store to identify agent-driven sessions, record what each agent asked for and was shown, and report which agent surfaces bring you revenue. You keep running your business on evidence instead of guessing which channel earned the order.
The flagship. Your catalog becomes agent-discoverable, your promotions machine-readable, your checkout agent-native, and your selling agent works every visit, human or software, around the clock.
When you carry thousands of SKUs across brands, agent readability is make or break. We normalize your catalog so buying agents can accurately compare, configure, and check out across your entire range.
Motorsports, outdoor, fitness, technical apparel: where fit, compatibility, and configuration decide the sale. Exactly where a selling agent earns its keep, answering the questions that used to need your best floor person.
Agentic Commerce Readiness Sprint. We run your store through real buying-agent journeys and score everything an agent touches: product data accuracy, variant clarity, promotion readability, total transparency, checkout completability, and post-purchase. You get a scored readiness report, a prioritized fix list, and the journey replays. The evidence, not opinions.
Selling Agent Pilot. We build and deploy your branded selling agent: your products, your voice, your guardrails. Live on your storefront for human shoppers and exposed to buying agents through structured interfaces, with bounded negotiation, honest limits, and full oversight.
Stay Current. The protocols are evolving constantly. We keep your implementation compatible, your agent trained on your latest catalog, and your guardrails tuned from real conversation data, so you stay agent-preferred while competitors fall behind.
Shopify provides the rails; we make you win on them. Being technically purchasable is not the same as being chosen, quoted correctly, and checked out cleanly. Our tests prove the gap: stale feeds, unreadable promotions, and human-only checkouts exist on Shopify stores today.
A chatbot answers questions on your site. A selling agent closes sales across every channel, conversing with human shoppers on your storefront and negotiating with their buying agents in the background, inside pricing and policy guardrails you define.
Yes. AI platforms already transact through agentic checkout on major retailers, and every platform is expanding it. The question is not whether agents will shop your category. It is whether your store will be readable when they arrive.
No. We work with Shopify, custom platforms, and multi-brand catalogs. The standards we build on are platform-agnostic, and the readiness sprint will tell you exactly what your stack needs.
No. Your site stays the home for human shoppers. The agent is an additional salesperson on it, and simultaneously a machine-readable presence for the agents shopping in the background.
Only if you instrument for it. When an agent navigates directly to a product page and checks out, the referral data that normally identifies the source may not exist, so agent-driven revenue can appear with no traceable channel. We build that measurement layer as part of the engagement: agent sessions identified, requests and responses recorded, and reporting on which agent surfaces produce orders.
They are separate offerings that share DNA. An AI sales agent sells to the humans visiting your store. Agentic Shopping Optimization makes your entire store legible and transactable to the software shopping on their behalf, then puts a selling agent in both conversations. Each works fully on its own.
Buying agents are already comparing your products, hunting your discounts, and checking out, or giving up and buying elsewhere. Tell us about your store and we will show you exactly what they see.
Check My Agent-Readiness