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Why ChatGPT can't understand your product page.
Paste any ecommerce product URL and get an instant plain-language report on exactly why AI shopping agents like ChatGPT, Perplexity, and Gemini can't find or recommend your products — with copy-paste fixes you can implement today.
Apparel
Beauty
Cars
Electronics
Any ecommerce product
"Instead of spending days guessing what AI agents need, this tool tells you exactly what's missing and hands you the fix. Most pages go from invisible to AI-readable in under an hour."
What this tool checks
- Structured data (JSON-LD schema) — Checks for Product, Offer, AggregateRating, BreadcrumbList, FAQPage, and Organization schema blocks. Without these, AI agents don't know your page is a product for sale.
- Description quality — Tests whether your copy covers the dimensions AI agents need to match a query: style, color, material, fit, occasion, finish, and skin type. Sparse copy that works for human browsers is invisible to AI.
- Image alt text — Scores how many product images have meaningful alt text. "Product image 1" is invisible to AI. "Sage green satin midi dress with cap sleeves, worn with nude heels" is searchable and citable.
- Page metadata — Reviews meta description length, OpenGraph completeness, H1 structure, and canonical URL — the signals AI uses to summarize and rank your page.
Works for any visual product category
AI shopping agents are reshaping how people discover products across every category. This tool is built for:
- Apparel — dresses, outerwear, footwear, accessories. AI needs silhouette, fabric, fit, and occasion to match "breathable linen midi dress for a summer wedding."
- Beauty — skincare, makeup, fragrance. AI needs finish, coverage, skin type, and ingredient callouts to match "long-wear matte foundation for oily skin."
- Cars — makes, models, trims, specs. AI needs year, engine, drivetrain, and features to match "fuel-efficient SUV under $40k with third-row seating."
- Electronics — phones, laptops, audio gear. AI needs specs, compatibility, and use case to match "noise-cancelling headphones for remote work under $200."
What the scores mean
- 85–100: AI-readable. The page gives agents everything they need to surface and recommend the product.
- 65–84: Partially readable. AI can identify the product but will struggle to recommend it in synthesized answers.
- Below 65: Effectively invisible. AI agents see a page but can't reliably match it to a shopping query.
How to show your work — before and after
If you're optimizing product pages for GEO — for your own store or a client — the audit gives you a before-and-after paper trail your boss or client can actually see.
- Run the audit before making changes. Screenshot the score and the category breakdown.
- Apply the fixes using the copy suggestions and code snippets from the report.
- Run the audit again. Screenshot the new score. That delta is your deliverable — a clear before-and-after your boss or client can read in seconds.
"The category breakdown tells you exactly which signals improved and why — so you can explain the work in plain language without a deck."
What is generative engine optimization (GEO)?
Generative engine optimization (GEO) is the practice of making web content readable and citable by AI agents like ChatGPT, Perplexity, Gemini, and Claude. Unlike traditional SEO — which optimizes for ranking on a results page the user clicks through — GEO optimizes for being cited in a synthesized AI answer.
A product page that ranks first on Google for its exact name might still be completely invisible to ChatGPT for any descriptive query about it. The fix is rarely "more keywords" — it's richer structured data and descriptions across the dimensions AI agents actually read.
Frequently asked questions
Is this tool free?
Yes, completely free. No account, no signup, no credit card. Paste your product page URL and get an instant report with actionable fixes.
Why can't ChatGPT recommend my products?
AI shopping agents don't browse like humans. They rely on structured data (schema.org markup), rich product descriptions, and meaningful image alt text. Most ecommerce pages lack Product and Offer JSON-LD schema, have thin descriptions, and use generic alt text — making them invisible to AI agents regardless of how well they rank on Google.
What is an AI visibility score?
A score from 0–100 that measures how much of the information AI shopping agents need is present on the page. The score is weighted by impact — schema and description depth matter most. The breakdown by category is more actionable than the headline number.
How long does it take to fix a low-scoring page?
Most pages can move from a low score to above 80 in under an hour. The audit provides copy-paste code snippets and description templates — you're not starting from scratch, you're filling in what's missing.
Learn more about how the audit works →