Get clear answers and choose your next step.

CatalogSignal builds on your SEO and goes further into AI product recommendations. We deliberately identify and retain the important keywords, SEO wording, and brand voice your team has invested in. CEI adds product-level testing of how assistants find, compare, and describe your products, then gives your existing teams the evidence and prioritized fixes to improve those results.

The Commerce Eligibility Index is a 0 to 100 readiness score across five pillars and 16 signals. It connects the score to specific product evidence, so your team can see which gaps matter, choose the next fixes, and measure progress after changes.

Comparable mode uses only the public view any AI agent can crawl, so scores are comparable across brands. Authorized mode adds the private feeds and APIs you already share with commerce partners, which makes more signals computable and the score more complete.

For a baseline, very little: your brand and a representative set of product pages. Authorized mode is optional but strongly encouraged, and only uses the private feeds and APIs you choose to share. It makes more signals computable and the score more complete. We will identify the strongest starting point for your catalog and growth goal.

CEI Diagnose gives you the scorecard, product-level evidence, and prioritized action plan. CEI Activate turns the priorities into implementation-ready fixes. CEI Publish delivers machine-readable catalog assets and an authenticated MCP endpoint AI agents can query directly. CEI Protect checks new and updated records before they go live. The result is a clear cycle: see the gap, fix the gap, publish the evidence, and keep the catalog ready for AI to use.

An executive scorecard with your readiness band and drivers, a technical evidence package with product-level findings, and a prioritized remediation roadmap mapped to owners and impact. Because every finding is tied to a specific product and an owner, you leave with an executable fix plan, not opinions, which is what separates a CEI assessment from a standard audit.

Your private data stays confidential and is used only to produce your own assessment. Benchmarking draws solely on the public view anyone can see, and every diagnostic is evidence-backed and inspectable.

Organizations whose products are increasingly discovered through AI shopping and answer agents, and the commerce, marketing, and data leaders accountable for whether those agents can find, trust, and recommend them. Today that is mostly retailers and consumer brands; the same readiness gap is emerging across more categories as AI-mediated discovery expands.

SEO improves visibility and usefulness in search. AEO and GEO are common terms for work aimed at answer engines and generative AI experiences, and their practices overlap. CatalogSignal gives these efforts a shared product-data foundation: evidence showing whether assistants can find the right item, explain its differences, and confirm its fit for a shopper.

CatalogSignal strengthens GEO at the catalog layer. It measures and improves whether AI can find, tell apart, trust, and recommend specific products, SKU by SKU. GEO gets your brand talked about; CatalogSignal gives AI the product evidence it needs to act on that interest.

Strong SEO gives you a valuable foundation, and we preserve that work. CatalogSignal goes further by testing how AI assistants represent individual products for real shopping requests. We identify and retain your important search terms while improving missing or conflicting product evidence. Your team gets a practical path from being found to being accurately compared and recommended.