AI SHOPPING CHECK · FREE AI TOOL
LAUNCHING SOON

Is your product data ready for AI shopping?

Verify your best-sellers have the details AI-assisted shoppers need.

AI Shopping Check is a free tool that reviews how well your top products are set up for AI shopping assistants. It checks product details such as attributes, specifications, prices, Q&A, reviews, and product feeds.

  • Takes about 10 to 15 minutes for your top 5 products

  • Shows results instantly on screen, no email required

  • Provides a readiness score and a list of fixes

SAMPLE REPORT

Tidewell Kitchen (fictional brand)

Some of the product details AI shopping assistants and retailer search rely on are missing or inconsistent for your top 5.

We read 3 of your top 5 product pages.

Readiness by Area, Top 5 Products

  • Product details25Not ready
  • Search terms75Partly ready
  • Prices and stock75Partly ready
  • Q&A50Partly ready
  • Reviews75Partly ready
  • Feeds and schema25Not ready
  • Images and video50Partly ready
  • Retailer listings50Partly ready
  • Upkeep50Partly ready

TOP 3 GAPS

1. Product page rewrites
2. Product feed fixes
3. Attribute and spec fill

WHAT WE CHECK

What we review for each product.

When shoppers ask an AI assistant which product fits their needs, the assistant relies on the product information you provide. This check reviews that information for your top 5 products.

Attributes and specs
Size, materials, care instructions, and compatibility: the details shoppers use to filter and ask questions.

Price and availability
Whether price and stock are consistent across your site and retailer listings.

Questions and reviews
Unanswered shopper questions, plus review volume and how recent reviews are.

Feeds and product markup
Errors or missing fields in product feeds, plus product markup and identifiers on your site (GTIN, MPN, brand).

Images and video
Main-image compliance, dimension images, and video for each product.

How the AI Shopping Check works

Provide details about your top 5 product pages (PDPs) and get an instant assessment on whether they are ready for AI-assisted shopping. The tool reads your PDPs, and code extracts the price, stock status, and product identifiers, while AI identifies product details and writes the report summary. Some websites load details after the webpage opens. If the tool cannot see those details, you can enter them manually. How this tool uses AI →


1. Provide 5 product pages

Paste links to your top 5 product pages on your own site. The tool reads their product data.


2. Provide info about retailer PDPs

Answer short questions about your listings on Amazon and retailer sites. Estimates are fine.


3. Get your result

Get your brand’s AI shopping readiness by area, your top 3 gaps, and a list of fixes.

What you get

Your AI Shopping readiness rating

On screen, no email needed. PDF by email (optional).

  • A verdict on your overall AI shopping readiness

  • AI shopping readiness by area

  • Your top 3 gaps

Full AI Shopping readiness report, by email

Optional. One field: your email

  • Every gap with its fix

  • The full first-90-days outline

  • A one-page summary for your leadership or team

  • An attribute checklist for your top 5 products

Built by a Fractional CMO with decades on the digital shelf.

Kara grew a consumer manufacturer from $46M to $69M (1.5x, 8% a year) while shifting it from 95% brick-and-mortar to 30%+ e-commerce. She has also run AI-assisted SEO and product content across 80,000 SKUs. Read the digital shelf case study →

51%

Share of gross profit earned by e-commerce at a consumer electronics manufacturer

925%

Return on spend from Amazon advertising for a home goods brand

80,000

SKUs with AI-assisted SEO and product content marketing

AI Shopping Check FAQs

Kara Lineal reviewing marketing work at her desk.
Kara Lineal reviewing marketing work at her desk.

ABOUT KARA

Meet the human behind the tools.

Kara Lineal is a fractional CMO and marketing executive with 20+ years leading growth and digital transformation across B2C, D2C, and B2B companies. She built a $5M D2C channel at 65% margin and launched brands to $20M in first-year sales at national retail. Most recently, she built an AI grant research system for a nonprofit board that cut monthly research from about 10 hours to 30 minutes, freeing volunteers for work that requires human judgment. She holds a Johns Hopkins Certificate in Agentic AI.

Read Kara’s full background →