AI Website Analysis
AI Website Analysis for wiki-go.com
Analysis Result
Traditional Architecture
No AI builder fingerprints detected. Built on a traditional CMS, framework, or custom code.
AI Influence Score
Analysis of wiki-go.com
The home page of wiki-go.com is titled “Wiki-Go”. Its meta description reads: “Wiki-Go is the collectible card game made from Wikipedia: every article is a card. Free boosters, trades, auctions and clans. Play in your browser.”.
No single platform could be identified with confidence, which usually means a custom-coded site, a heavily customised stack, or one that hides its fingerprints. It is served from Cloudflare.
Assets are delivered via Cloudflare CDN. Security-related response headers seen: HSTS and Content Security Policy.
The 4% AI influence score for wiki-go.com rests on direct evidence we found: AI SDK/API usage (supabase). Detection looks only at publicly delivered HTML, scripts, styles and headers, so server-side code and editing history remain invisible to it.
Why We Reached This Result
AI API integrations or SDK references were found in the page bundle, suggesting this application uses AI features or was built with AI coding assistance.
Detection evidence for wiki-go.com
- TanStack Query
- supabase
What this scan cannot determine
- • Who wrote the website’s code
- • Whether ChatGPT, Claude, Cursor, or another AI tool was used
- • How much of the site AI actually generated vs. a human
- • Whether AI-generated code was manually reviewed or edited
- • Server-side logic not visible in the delivered HTML/JS
- • Whether the site previously used a different stack
AI detection here is probabilistic, based on publicly observable technical signals (scripts, markup patterns, headers, metadata). A score is evidence-based estimation, not proof of authorship.
What This Means for wiki-go.com’s Search Visibility
Google has stated it does not penalize a site simply for using AI tooling during development — its Search Essentials guidance targets scaled content abuse (mass-produced, low-effort pages meant to manipulate rankings), not the use of an AI website builder itself. Whether wiki-go.com ranks well depends on the same signals it always has: real content, genuine business information, and what Google calls E-E-A-T — Experience, Expertise, Authoritativeness, and Trustworthiness — independent of which tool assembled the page.
If this is your site
This scan didn’t detect strong AI-builder or AI-coding-tool signals, so the standard SEO fundamentals apply the same way they would for any site: real, original content; clear authorship or business information; and technical basics like a valid sitemap and working robots.txt (both checked further down this page under Site Readiness).
Wondering whether Google penalizes AI-built sites, or what a high score actually means? See the full explanation.
How This Website Was Built
No builder confidently detected
This website may hide its platform, use a custom stack, or run behind infrastructure that masks its builder.
Technology & Infrastructure
7 detectedOn-Page Signals
- Custom title tag
- Meta description
- Canonical URL declared
Share Result
Traditional Architecture — Badge
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