AI agents are already shopping for your customers.
Can they find your products?

See how ChatGPT, Perplexity, and Google's AI interpret your catalog — and fix the gaps that keep you invisible.

Aqua Terra Performance Runner
Aqua Terra Performance Runner$145 · Running
How ChatGPT sees it
Variants12 colors · 6 sizes
3 of 12 shown
MaterialEngineered mesh · EVA midsole
CategoryRunning · Performance
Footwear!
Octogen reconciles every agent's read against your source of truth.Live

Your best-selling product has 12 colorways. Agents show 3.

Retail catalog data is fragmented across feeds, PIMs, CMSs, and marketplaces. When structure drifts, agents miss variants, guess attributes, and surface stale details — if they surface your products at all.

Octogen scores your catalog across every major agent and automatically fixes:

  • Missing variants (sizes, colors)
  • Sparse attributes (materials, fit, style)
  • Inconsistent taxonomy mapping
  • Conflicting truths between your systems
ChatGPT
Claude
Gemini
Perplexity
0Readiness
Variant Integrity74%
Attribute Coverage48%
Taxonomy Mapping65%
Media Quality81%
Top issues1 of 4 agents scanned
Missing size variants38 pages affected
High
Sparse material attributes47 pages affected
High
Category mismatches15 pages affected
Medium

What Octogen Does

01

Standardize & Enrich

Ingest your product data from every source, map it to a clean schema, and fill gaps across taxonomy, attributes, and variants.

02

Agent Compatibility

See how each major agent interprets your products, side-by-side. Know exactly where you’re invisible — and why.

03

Stay Compatible

Platforms change constantly. Octogen detects schema drift and auto-adjusts before performance breaks.

04

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
Data pipelineContinuous
Inputs
Product feed
API
Web crawl
PIM
Octogen
Standardize
Enrich
Validate
Deliver
Outputs
AI agents
Site search
Marketplaces
Partner feeds
1.2M+ products structured
10,000+ brands processed
250+ enrichment attributes

From correctness to ROI

01

Standardization

Clean, structured, continuously updated product data.

02

Agent Compatibility

Monitor and automatically maintain compatibility across agents.

03

Attribution

Measure agent-driven traffic and conversion over time.

04

Optimization

Improve surfacing and test improvements to grow agent-driven revenue.

Value stackStart at the foundation
01
StandardizationClean, structured, continuously updated product data.
Starting point
02
Agent CompatibilityMonitor and auto-maintain compatibility across agents.
Starting point
03
AttributionMeasure agent-driven traffic and conversion.
04
OptimizationImprove surfacing and grow agent-driven revenue.
Layers 1 and 2 compound before the rest matter.

See what agents see in 15 minutes.

1

Enter your storefront URL

2

We crawl a representative sample

3

Compare how agents interpret your products

4

Get gaps, readiness score, and next steps

No engineering lift. No feed export required.

Is your catalog readable by AI?

Start with a free audit. Get your readiness score, and see the gaps and fixes that move conversion.