WHY AI READY?

Why your products need to be ready for AI agents

Customers no longer search — they ask. AI agents like ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews recommend products based on data quality. If your data falls short, AI will skip you.

HOW SHOPPING IS CHANGING

Three trends reshaping e-commerce

AI chatbots as personal shoppers

ChatGPT and Claude conversationally recommend specific products. Customers no longer click through ten results — they get a single, suggested pick.

Google AI Overviews instead of links

AI-generated answers are replacing traditional search results. Your SEO ranking is no longer enough — you have to be in the answer the AI puts together.

Autonomous agents compare for you

Perplexity Shopping and the Google Shopping Graph autonomously evaluate products based on data. Without rich attributes, you drop out of the shortlist.

WHAT AI EVALUATES IN PRODUCTS

Six critical elements for AI visibility

AI agents evaluate products based on structured, complete data. Missing fields mean missed recommendations.

1 · Product name

Must include the brand, type and key attributes. E.g. "Nike Dri-FIT men's running shirt, blue, size L".

2 · Product description

Detailed, context-rich copy. Use cases, materials, benefits, scenarios — not marketing fluff.

3 · Photography

Multiple high-quality photos from different angles. Ideally on a white background and in use, with descriptive alt text.

4 · Product attributes

Color, material, dimensions, weight, EAN/GTIN. AI needs these attributes to filter and compare.

5 · Structured data

Properly formatted feeds (Google Merchant, Heureka XML) plus JSON-LD Schema.org on product pages.

6 · Availability and price

Up-to-date stock and pricing. AI won't recommend products that are out of stock or have unreliable data.

SCHEMA.ORG · THE LANGUAGE OF AI

JSON-LD: how to talk to AI directly

Schema.org markup gives AI agents machine-readable data. The crawlers behind ChatGPT, Gemini, Perplexity and Claude all understand this structure — without it you're invisible to them.

product.html
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Product",
  "name": "Nike Dri-FIT pánské tričko, modré, vel. L",
  "brand": {"@type": "Brand", "name": "Nike"},
  "gtin13": "0194957000000",
  "offers": {"@type": "Offer", "price": "890", "priceCurrency": "CZK", "availability": "InStock"}
}
</script>
HOW AI SEES IT

Two products, two fates in AI results

Overlooked product · AI won't recommend it

Blue T-shirt

Men's T-shirt. Material, sizes and colors subject to availability.

  • Weak title with no brand, type or parameters
  • Two-sentence description · no use cases or benefits
  • A single low-quality photo on a white background
  • Missing EAN, material, color, dimensions
Recommended product · AI will pick it

Nike Dri-FIT men's running shirt, blue, size L

Performance shirt with Dri-FIT technology · 92% polyester · for running and fitness · reflective details · regular fit

  • Complete title: brand, type, color, size
  • Detailed description with material and use cases
  • 5+ HD photos · material close-ups · lifestyle shots
  • Full attribute set: EAN, color, size, material
HOW AGENTREADY HELPS

From domain to a fixed feed · 4 steps

1

Auto-detect the feed

Enter a domain · we find the product feed or scan the homepage.

2

AI Visibility Score 0–100

Every product gets a score · broken down into Content / Trust / Fit.

3

Concrete AI suggestions

Before/after for every field · with risk level and rationale.

4

Sync back to the feed

We push approved changes back into the production feed (Google Merchant, Heureka XML).

Find out your AI Visibility score for free

A free product feed analysis takes just a few minutes. Concrete recommendations on 10 products · no signup required.

Analyze for free