AI agents are shopping for your customers.Can they find your products?
See how ChatGPT, Claude, Perplexity, and Google interpret your catalog — and fix the gaps that keep you invisible.
Your best-selling product has 12 variants. Agents show 3.
Your catalog may be correct in your systems and wrong in AI. When AI can't see a complete and accurate version of your catalog, agents miss variants, lose key attributes, and surface incomplete results.
Octogen identifies and fixes issues suppressing visibility:
- Missing variants (sizes, colors)
- Sparse attributes (materials, fit, style)
- Inconsistent taxonomy mapping
- Conflicting truths between your systems
So when shoppers ask, AI agents surface your products instead of competing alternatives.
What Octogen Does
Standardize & Enrich
Ingest your product data from every source, map it to a clean schema, and fill gaps across taxonomy, attributes, and variants.
Agent Compatibility
See how each major agent interprets your products, side-by-side. Know exactly where you’re invisible — and why.
Stay Compatible
Platforms change constantly. Octogen detects schema drift and auto-adjusts before performance breaks.
Measure & Optimize
Track agent-driven visibility and conversion, benchmark by category, and improve where it impacts revenue most.
Infrastructure, not dashboards.
Other tools tell you what's broken. Octogen fixes the data layer and keeps it compatible across every agent as they evolve.
- Standardize once, reuse everywhere
- Auto-maintain compatibility as platforms change
- Deliver clean feeds to agents, search, and partners
From correctness to ROI
Standardization
Clean, structured, continuously updated product data.
Agent Compatibility
Monitor and automatically maintain compatibility across agents.
Attribution
Measure agent-driven traffic and conversion over time.
Optimization
Improve surfacing and test improvements to grow agent-driven revenue.
See what agents see in 15 minutes.
Enter your storefront URL
We crawl a representative sample
Compare how agents interpret your products
Get gaps, readiness score, and next steps
No engineering lift. No feed export required.
Frequently asked
Everything you need to know about AI shopping visibility.
- Can AI shopping agents find my products?
- AI agents like ChatGPT, Claude, Perplexity, and Google interpret your catalog through their own retrieval and parsing pipelines. If your product data is incomplete, sparsely attributed, or inconsistently categorized, agents will miss variants, drop key attributes, and surface incomplete results — even when your catalog is correct in your own systems. Octogen audits how each major agent sees your catalog so you can see exactly where you're invisible and why.
- Why does my catalog look different in AI than in my store?
- Agents build their own view of your catalog from your PDPs and feeds. Common gaps include missing variants (sizes, colors), sparse attributes (materials, fit, style), inconsistent taxonomy mapping, and conflicting truths between your systems. Each gap suppresses visibility on AI surfaces.
- What does Octogen do?
- Octogen is product-data infrastructure for agentic commerce. It standardizes and enriches your catalog, monitors how every major AI agent interprets it, automatically maintains compatibility as platforms change, and measures agent-driven visibility and conversion.
- How long does an AI visibility audit take?
- About 15 minutes. You enter your storefront URL, Octogen crawls a representative sample, compares how each agent interprets your products side-by-side, and returns the gaps, a readiness score, and recommended next steps. No engineering lift or feed export is required.
- Is Octogen infrastructure or a dashboard?
- Octogen is infrastructure, not a dashboard. Other tools tell you what's broken; Octogen fixes the underlying data layer and keeps it compatible across every agent as the agents themselves evolve.
Is your catalog readable by AI?
Start with a free audit. Get your readiness score, and see the gaps and fixes that move conversion.