See where a real customer gets stuck.
Enter a website, business name and city. QuickoraTools scans the public page like a customer trying to call, request a quote, get directions, build trust and take action.
Website URL + Business Name + City
This is not a generic SEO score. The engine checks customer-path signals in the website HTML and turns them into five practical journeys. It never submits forms or invents Google review data.
What happens when a customer tries to act?
A heuristic journey model — not analytics.
Issues with a usable fix beside each one.
Watch AI Shop Your Website
What the Ghost Customer actually tests
The scan is built around decisions a real prospect makes. It looks for ways to call, request a quote, find a location, understand whether the business appears trustworthy and take a commercial action. It also checks supporting website signals such as HTTPS, mobile viewport markup, page title, main heading, meta description, structured data and selected policy links.
What it deliberately does not fake
The scanner does not submit enquiry forms, place bookings, make purchases, log into accounts or claim to know Google Business Profile hours, review counts or competitor data unless those sources are connected through a suitable data provider. If a source cannot be verified, the report says so instead of inventing a result.
How to use the report for prospecting
- Scan the prospect's public website.
- Open the five customer journeys and identify the first blocked or unclear step.
- Use the FIX IT panel to turn the problem into a concrete recommendation.
- Share the finding as a customer-experience observation rather than an exaggerated revenue claim.
The Lead Leak Map is a heuristic visualization, not the business's analytics or revenue data. It is designed to prioritize friction, not to claim exact lost sales.
Questions about AI Ghost Customer
Does it submit the business's quote form?
No. It detects form and CTA signals but does not send forms, bookings or purchases.
Does it verify Google reviews and business hours?
Not in the base scanner. Those require a suitable listings/reviews data source or API. The report does not fabricate those values.
Why is this different from a normal SEO audit?
The output is organized around customer intent and conversion paths rather than a long technical checklist. Technical signals are included only when they affect those journeys or make the website easier to understand and trust.