Is your catalog ready for them? Start with a three-product diagnostic: we show what AI agents can read, recommend, and buy. If the findings warrant it, a separate remediation engagement fixes the highest-leverage gaps and a re-audit proves what changed.
GPTBot, ClaudeBot and PerplexityBot don't run JavaScript. If your data only appears after the page hydrates, they see nothing.
An agent comparing two products needs specs to argue with. Undeclared loses to declared, every time.
Autonomous checkout needs a declared commerce manifest and machine-readable policy terms.
A duplicated product record was removed from one page and a missing barcode plus review data appeared on another. Neither change was announced to us. Our re-audit caught both, and the brand moved into first place in its own competitive set.
Four steps. The first three run on every product; the fourth is optional, and it's the one that shows you where you actually rank.
We read raw HTML as a crawler does for structured-data and access checks, then review the rendered product page for visible specifications, variants, reviews, and policy terms. The gap between those views is often the finding.
Crawl (40%): can machines parse it at all. Recommend (40%): is there enough substance for an agent to cite you over a rival. Transact (20%): could an autonomous agent actually complete the purchase. Each fails for a different reason, so each gets a different fix.
Every product lands in one of five SKUcommerce readiness bands: Invisible, At risk, Readable, Competitive, Agent-ready. A score of 70 marks the Competitive threshold in this methodology.
Name up to two competitors and we score three of their most prominently merchandised products with the identical methodology, on the same day, so your number sits next to theirs, not alone.
When an agent stacks you against a competitor, yours has the specs to actually win.
Audit and fix in days, not a quarterly SEO project. Most of it is a data problem, not a content problem.
Invisible to an agent isn't a complaint. It's a sale that vanishes with no signal telling you why.
The re-audit turns "we think it's better" into a number you can point to.
Managed by default: the work happens without anyone opening a new dashboard.
Agents, catalogs and competitors keep changing. A scheduled re-audit is how you notice before it costs you rank.
A diagnostic, not a fix plan: give us up to three product URLs and we'll email a directional scorecard within one business day. Competitive benchmarking and remediation are separate engagements.
We read publicly accessible product pages: the same pages Google, GPTBot and any shopper's browser can reach. No login, no private data, and robots.txt is respected, including crawl-delay directives.
They overlap but optimize for different readers. SEO is largely about ranking for a human who then clicks. We measure whether a machine can extract, trust and act on your product data: specs it can compare, policies it can read, a checkout it can complete.
You name up to two competitors (or we help you pick) and we score three of their most prominently merchandised products with the exact same methodology, on the same day. You see your number next to theirs, scored identically, not a generic industry benchmark.
That's what the re-audit is for: same pages, same methodology, same scoring rules, so the movement is comparable rather than a fresh opinion. Every finding is date-stamped.
The free scan covers up to three of your own products: a one-time snapshot, emailed to you. A full engagement scores your whole catalog, benchmarks it against two named competitors, implements the fixes, and re-audits on a schedule to prove the change landed.
They're used only to generate and send your report. We don't share them, and we won't add you to a marketing list without asking first.
SKUcommerce is a product of SKUforce, which also builds SKUmagic, our product-data platform.
No deck. We screen-share the diagnostic, show you the evidence, and decide whether a competitive audit or remediation engagement is worthwhile. The first report is diagnosis; the implementation plan comes only when you choose to pursue the work.