Site Scanner
We scan the storefront first so the next move is based on evidence instead of guesses.
Autonomous Path
Audit the storefront first.
Get a clear scan of how your store looks to AI search tools and shopping agents. We show what to fix next without hype or guesswork.
Find what is holding AI search and agentic commerce back.
The market shift: AI search tools, shopping agents, and commerce platforms need clearer product data, readable pages, and trustworthy policies. The first job is to find the gap that matters most for your store.
Catalog Scanner
We confirm feed and catalog issues with a lighter audit before AI-facing product-data cleanup starts.
Remediation + Monitoring
We separate AI Search Remediation, Catalog Remediation, and recurring monitoring so each AI-commerce next step has a clear job.
Storefront scan
We check the signals that shape the AI-commerce next step.
Scan statusEvidence collected
OutputAI-commerce next step
How it works
1. Site Scanner
Start with Site Scanner to see whether the main issue is your product pages, policies, structured data, or catalog.
Upgrade to the paid full report only when the evidence needs a deeper issue register and fix order.
2. Catalog Scanner
Run Catalog Scanner first to see whether missing fields, messy product details, or formatting problems are holding the catalog back.
Once diagnosed, move into the paid Catalog Scanner report for a saved findings report, then into Catalog Remediation or Recurring Monitoring only if the scope is already clear.
What gets reviewed
We first check whether your store is easy for AI systems to read.
Are products clear, are policies visible, and do the behind-the-scenes signals match what customers and AI systems see? From there, we recommend the most practical AI-commerce next steps.
Storefront foundations
The pages customers, AI search tools, and shopping agents rely on.
Why we audit this:
Shows whether key product pages can be reached, read, and understood by AI-facing systems.
- Product pages
- Collections
- Site access
Behind-the-scenes product data
Check whether page code matches what shoppers see.
Why we audit this:
Catches hidden data mismatches that can confuse shopping and search systems.
- Structured product data
- Price and availability
- Seller details
AI-commerce next step
Turn the scan into a practical AI-commerce priority.
Why we audit this:
Helps avoid paying for the wrong site cleanup, catalog cleanup, or integration work first.
- Platform fit
- Goals
- Prerequisite gaps
Start here
Start with the evidence.
Front-door audit
Site Scanner
A free preview that checks whether AI search tools and shopping surfaces such as ChatGPT Shopping and Google AI-assisted shopping can read your store, with a paid full report when you need deeper evidence.
- Free Site Scanner preview of the clearest blockers
- Paid report with evidence, severity, category scores, and affected pages
- Recommended next step across site, catalog, remediation, or monitoring for AI search and agentic commerce
The issue
Small data gaps can make it harder for AI search tools and shopping agents to trust the next step.
Our Audit
We run a rules-first scan so recommendations stay tied to what we can verify.
What you get
You get a clearer order of work for AI search and agentic commerce: scan first, cleanup second, monitoring when it is useful.
Run a Free Preview
Not sure where to start? Run a free scan to see which store issues need attention first.
Try Site ScannerBest starting point
Site Scanner
Start with Site Scanner when you are not sure what is holding the store back.
- Checks the storefront before pushing you into paid cleanup
- Keeps the first recommendation broad and low risk
- Routes into the paid full report only when deeper detail is justified
Includes a Free Preview scan before committing to the paid full report.
Start free previewWhen the feed is already the concern
Catalog Scanner
Use Catalog Scanner first when you already have a feed export and want to check the catalog before cleanup.
- Accepts CSV, XML, JSON, or pasted data
- Returns an executive summary of catalog health
- Routes into the paid Catalog Scanner report and then Catalog Remediation only when justified
Run Catalog Scanner first. The paid Catalog Scanner report packages the findings before cleanup starts.
Run Catalog ScannerAfter the scanners
Targeted services once the issue is clearer
Start with a scan. Once we know what is getting in the way, we can recommend the right next service.
- AI Search Remediation to clean up product pages, trust pages, and behind-the-scenes site details. This helps AI search and shopping agents read your store with clearer product and trust signals.
- Catalog Remediation to fix missing, messy, or inconsistent product data. This gives AI-facing feeds and shopping systems cleaner product facts to work from.
- Recurring Monitoring for Drift & Remediation to rescan your store and watch for new issues over time. This helps catch changes that could affect AI search and agentic commerce readiness.
No production changes happen without validation and approval checkpoints.
Try it for free
Run Site Scanner today.
Not ready to commit? We ask for your storefront URL and platform first. We'll run a free diagnostic scan and point you toward the safest next step for AI search and shopping-agent readiness.
- Website URL
- Commerce platform
- Goals and market context when needed