Product AEO/GEO for ecommerce sellers
Find why AI skips your SKU. Ship the missing proof.
Qurifix turns weak product evidence into fix-ready PDP, listing, FAQ, schema, and creator assets.
Shopify PDPs
Amazon listings
TikTok Shop briefs
Evidence-based repair only
Why now
AI shopping answers reward products they can explain safely.
If competitors are easier to verify, AI makes them the safer answer.
Clear evidence beats generic claims.
One SKU needs one consistent story.
Platform focus
Built for the surfaces AI actually reads.
Start with the surfaces AI actually reads: PDPs, marketplace listings, FAQs, feeds, and comparison proof.
Shopify
Amazon
TikTok Shop
WooCommerce
Walmart Marketplace
Etsy
eBay
Cross-border marketplaces
How it works
Audit, repair, then prove movement.
A short workflow for finding the trust gap, shipping evidence, and retesting the same prompts.
Audit buyer prompts
We test how AI answers real buying questions for your SKU, category, and competitors.
Repair evidence gaps
We turn missing proof into PDP, listing, FAQ, schema, feed, and comparison assets.
Retest movement
We re-run priority prompts after fixes go live to track answer and shelf-share changes.
No fake reviews
No ranking guarantees
Evidence-based repair only
Example report
See how one SKU turns into a repair plan.
Short samples are illustrative. Paid audits replace these examples with live prompt tests, platform-specific repair assets, and a retest schedule.
Inside the report
One diagnosis, three decisions.
- Which competitors AI trusts first.
- Which evidence gaps are suppressing the SKU.
- Which fixes should ship before broader content work.
Service packages
Start with one SKU, then expand with confidence.
Validate one SKU first, then expand only when the evidence story works.
Audit
Quick Shelf Audit
Find where one SKU loses AI recommendations to competitors.
For first validation- Prompt map
- Competitor shelf snapshot
- Missing evidence signals
Fix Pack
Product Repair Pack
Publishable assets for product pages, listings, FAQs, and structured data.
For active repair work- PDP and listing rewrite blocks
- FAQ and comparison content
- Schema and feed recommendations
Retainer
Monthly AEO/GEO Retainer
Track priority SKUs and keep repairing evidence as AI answers shift.
For category coverage- SKU batch monitoring
- Before/after answer tracking
- Monthly fix backlog
Most teams start with one SKU, validate the gap, then expand only after the proof story is working.
Request audit
Start with one SKU and one competitive question.
Send the minimum details needed for a first read. Deeper intake comes after we confirm the SKU and competitive set.
Quick Audit runs a lightweight shelf test. Fix Pack
is a deeper request for diagnosis, repair assets, and retesting.
What to send
A product URL, your main competitor, and the buyer question you believe AI is answering badly today.
What comes back
A first read on shelf pressure, missing evidence signals, and the next fixes worth shipping.