Is your store readable by AI?
Shoppers increasingly ask AI to find and compare products. If AI search and shopping agents cannot read your catalog, you are invisible to them. Here is what AI-readiness means — and how to get there.
AI readiness means your store is structured so AI search and shopping agents can read and cite it — via schema markup, complete product attributes, clear FAQs, reviews, and feeds. An AI-readiness audit checks these signals. FaStart builds storefronts toward structured data by default; full agentic readiness is early access.
Why AI readiness matters
Shopping search is shifting to answer engines like ChatGPT, Perplexity, and Google AI Overviews; these engines cite structured answers, not pages.
AI only recommends a product it can read. Schema, clear attributes, FAQs, and reviews are machine-readable signals.
Tomorrow’s shopping agents traverse your catalog via structured data; missing markup means invisibility.
What an AI-readiness audit checks
Each signal carries an honest status: where FaStart configures it for you today, and where full automation is still early access or roadmap.
Structured data (schema.org)
Are JSON-LD markups like Product, Offer, BreadcrumbList, and FAQPage present? AI engines and rich results read this markup. FaStart storefronts are configured in this direction.
Product attributes & specs
Are attributes like size, material, color, and compatibility complete? AI agents match products by structured attributes; missing fields reduce visibility.
FAQ & Q&A content
Do your pages have clear question-and-answer blocks? Answer engines (AEO) favor short, directly quotable answers.
Reviews & ratings
Are product reviews and aggregate ratings marked up? AI summaries and comparisons use social proof and AggregateRating data.
Product feeds
Is your catalog exposed via machine-readable feeds? Marketplace and ads feeds (Trendyol/Google/Meta) are not live yet; they are on our roadmap.
Agent readability (agentic)
Can a shopping agent traverse and transact with your store? Full agentic readiness and the Agentic Commerce Gateway are in early access.
How FaStart helps
FaStart storefronts are built toward structured data by default — product, breadcrumb, and FAQ markup are part of the rendering direction, and the theme guides you to fill complete attributes and FAQs. That is real, shipped direction. Full agentic readiness — where shopping agents transact with your store through the Agentic Commerce Gateway — is in early access, not live yet.
Read more about the agent layer on the Agentic Commerce page, or reserve your spot on the waitlist.
Frequently asked questions
- What is AEO (Answer Engine Optimization) and how is it different from SEO?
- SEO aims to rank pages higher in search results; AEO aims to get answer engines (ChatGPT, Perplexity, AI Overviews) to cite your content directly. AEO relies on structured data, clear Q&A blocks, and complete product attributes.
- Does FaStart automatically make my store rank #1 in AI search?
- No — no platform can guarantee rankings. FaStart storefronts are set up toward structured data by default, which gives you the right foundation. But full agentic readiness is early access, and results also depend on the quality of your product data.
- Is this audit a live scanner or a manual review?
- Today this is an informational, manual review run by our team — not an automated live scanner. We go over your store for schema, attributes, FAQs, reviews, and feeds, and share a prioritized list.
- How long until AI engines cite my products?
- There is no guaranteed timeline; answer engines pull content on their own crawl and refresh cycles. Setting up structured data properly, filling missing attributes, and adding clear FAQs improves your odds of being cited.
Request your AI-readiness audit
Tell us your store and we will review it for AI search and agent readiness, then share a prioritized list. Prefer to explore first? Walk the live demo.