CartSignal

Merchant AI-readiness

Can AI assistants understand your store’s products?

CartSignal checks whether your product pages, schema, sitemap, robots.txt, metadata, and product feed are easy for search systems and AI assistants to read. The output is a practical fix list — not a guarantee of AI rankings or recommendations.

Conservative promise: This is a technical discoverability audit based on public pages and machine-readable signals. It does not contact customers, change your store, or claim guaranteed placement in ChatGPT, Gemini, Perplexity, Google, or any other platform.
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Audit scope

What the audit checks

Crawler access robots.txt, sitemap availability, indexability signals, canonical tags, and whether important product URLs are reachable without obvious blockers.
Product understanding Product and Offer schema, names, descriptions, images, brand, SKU/variants when present, availability signals, and metadata consistency.
AI-readable feed Whether a clean product feed, JSON catalog, merchant feed, or structured page data could help assistants and search systems parse the catalog.
Request a manual audit
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Recommended for

  • Shopify, WooCommerce, and custom ecommerce merchants with product pages already online.
  • SaaS and digital-product companies that want clearer product metadata for AI/search discovery.
  • Small stores that are unsure whether schema, sitemap, or feed issues are hurting discoverability.

What you get

Mini scorecard A simple 0–100 readiness score with notes about crawlability, schema, product data completeness, and feed/readability gaps.
Critical fixes A short prioritized list of issues to fix first, such as missing product schema, blocked crawl paths, or weak product descriptions.
Implementation direction Suggested next steps your developer, Shopify/WooCommerce admin, or CartSignal can implement after explicit approval for any paid work.
Repeatable intake checklist A lightweight request format covering store URL, platform, priority product/category URL, sitemap/feed URLs, target buyer, and competitor context.

Sample mini-audit output

A first pass focuses on signals a crawler or AI/search system can inspect from public pages. A merchant report would summarize findings in plain English before recommending implementation work.

Crawlability robots.txt reachable; sitemap present; important public product/category URLs included; no obvious noindex or canonical conflicts on sampled pages.
Structured product data Product/Offer schema found on sampled product pages, with readable name, description, image, brand, availability, and price fields where appropriate.
Fix priority Critical blockers first, then product-feed cleanup, metadata consistency, and AI-readable summaries that help assistants understand buyer fit and limitations.

Want to see the report shape and score rubric before requesting a review? Open the sample AI-readiness audit report. It is an anonymized example, not a claim about a specific merchant.

How the first request works

  1. Send the store URL and one product category through the contact page.
  2. CartSignal reviews public crawler, sitemap, schema, metadata, and feed signals.
  3. You receive a short findings summary and recommended next fixes. Any paid implementation or outreach requires direct human approval first.
Request the first-pass review

AI-readable structured summary

{
  "service": "CartSignal AI Readiness Audit",
  "buyer": "ecommerce and digital-product merchants",
  "checks": ["robots.txt", "sitemap", "product schema", "metadata", "product feed", "AI-readable product data"],
  "output": ["readiness score", "critical issues", "prioritized fix list"],
  "limits": "No guaranteed rankings, citations, AI recommendations, or revenue claims"
}