scanner.alphacurve.io
Full AI crawler readiness report. Shows how GPTBot, ClaudeBot, Perplexity and other AI models evaluate this website.
Crawled & cited by AI engines 13,632 times — Bot 6,209 · Google 2,483 · Bing 745 · ChatGPT 357 · Claude 297 · Meta 294
AI Search Visibility Score
| Dimension | Score | Progress |
|---|---|---|
| Technical Foundation | 36 / 49 | |
| Structured Data | 3 / 29 | |
| Page Content | 18 / 21 | |
| Internationalization | 6 / 20 | |
| AI Entity Mastery | 0 / 3 | |
| Total | 63 / 122 | 52% |
Moderate AI visibility — some improvements needed.
Detailed Check Results
Technical Foundation18/21 checks passed · 36/49
- +2
robots_bot.GPTBot
OpenAI
- +2
robots_bot.OAI-SearchBot
OpenAI
- +2
robots_bot.ChatGPT-User
OpenAI
- +2
robots_bot.ClaudeBot
Anthropic
- +2
robots_bot.anthropic-ai
Anthropic
- +2
robots_bot.Claude-User
Anthropic
- +2
robots_bot.Claude-SearchBot
Anthropic
- +2
robots_bot.PerplexityBot
Perplexity
- +2
robots_bot.Perplexity-User
Perplexity
- +2
robots_bot.Google-Extended
Google
- +2
robots_bot.Applebot-Extended
Apple
- +2
robots_bot.Applebot
Apple
- +2
robots_bot.Amazonbot
Amazon
- +2
robots_bot.Meta-ExternalAgent
Meta
- +2
robots_bot.CCBot
Common Crawl
- +2
robots_bot.Bytespider
ByteDance
- +2
robots_bot.CohereBot
Cohere
- +2
robots_bot.YouBot
You.com
- +0
sitemap.xml accessible
- +0
Sitemap index present
- +0
Homepage findable in search
not found in search engines
Structured Data1/11 checks passed · 3/29
- +0
llms.txt present
- +0
llms-full.txt (detailed index)
- +0
Structured data (any JSON-LD)
- +3
OpenGraph meta tags
- +0
FAQ structured data
- +0
Organization / WebSite schema
- +0
Breadcrumb (BreadcrumbList)
- +0
Article / NewsArticle schema
- +0
Advanced schema (HowTo / Review / Video)
- +0
SoftwareApplication / WebApplication schema
- +0
Rating / Review schema (social proof)
Page Content7/9 checks passed · 18/21
- +3
<title> tag present
ScanPro — 手機就是你的掃描器
- +3
Meta description present
拍一下,文件變 PDF。自動邊緣偵測、影像增��...
- +3
Brand name declared (title / og:site_name / Organization)
og:site_name=ScanPro
- +2
Has an H1 heading
手機就是你的掃描器
- +2
H1 distinct from title
- +0
Images have alt attributes
- +3
Contact info detectable
- +2
Brand name consistent across signals
2/3 sources aligned
- +0
Links to About / authority page
Internationalization2/5 checks passed · 6/20
- +3
HTML lang attribute set
lang=zh-Hant
- +3
UTF-8 charset declared
- +0
hreflang tags present
- +0
Multiple language versions
- +0
x-default hreflang declared
AI Entity Mastery0/1 checks passed · 0/3
- +0
AI bot citation detected
AI-Generated Website Summary
Introduction
ScanPro is a mobile document scanner application that turns physical paper into PDF files directly from a user's mobile device. It features automatic edge detection, image enhancement, and OCR text recognition, keeping all document processing entirely offline on the local device.
About
ScanPro is a digital scanning utility available on iOS and Android that simplifies the process of converting receipts, contracts, and notes into digital formats.
Target Audience
Individual users and business professionals looking for a quick, privacy-focused way to digitize physical documents on the go.
Highlights
- Supports automatic edge detection and image alignment
- Provides offline OCR text recognition supporting both Chinese and English
- Stores all scanned documents securely and locally on the user's device
- Offers a free version allowing up to 30 scans per month
- Provides Pro subscription plans (monthly or annual) to unlock unlimited scanning
AI Search Strengths
- Allows crawler access for major AI search engines including GPTBot, ClaudeBot, and PerplexityBot
- Permits crawl activity for AI utility crawlers such as Google-Extended and Applebot-Extended
- Features standard Open Graph (OG) tags to facilitate social media link previews
Objective Results
Offers a free tier with 30 page scans monthly, with Pro upgrade options starting at NT$690 per year for unlimited scans, batch scanning, and OCR exports.
GEO / AEO Advisory
How AI sees this site
mobile document scanner app (confidence: high)
Use cases
- Converting paper contracts, receipts, and handwritten notes into digital PDFs
- Extracting editable and searchable text from paper documents using OCR
- Applying filters like grayscale and image enhancement to make scanned text legible
Misunderstanding risks
- Users might search for a web-based utility tool, whereas ScanPro operates exclusively as a downloadable mobile application.
- Although a contact section heading is defined on the page, the direct email or phone details are currently not printed in the main text block.
Missing signals
- Adding direct links to the developers' company profile or About Us section to build consumer trust
- Integrating visual user reviews or app store rating graphics to reinforce application credibility
- Publishing a brief FAQ section covering typical questions about local data storage and offline capabilities
Content citability
Strengths
- Explicitly outlines the subscription price (NT$690/year) and monthly breakdown (equivalent to NT$57.5/month)
- Clearly states the monthly page scan limit (30 pages) for free users
Gaps
- Specific app version numbers and supported platform versions are currently not stated on the page / could add
- Developer brand background or physical address details are currently not stated on the page / could add
Questions users ask AI
- What is ScanPro and does it require an internet connection to scan documents? — awareness (★★)
- What features are included in the ScanPro Pro subscription compared to the free version? — consideration (★★★)
- How much does the ScanPro annual subscription cost and how do I sign up? — decision (★★★)
Top recommendations
P1 · schema — JSON-LD Structured Data
Integrate SoftwareApplication and Organization structured data markup (JSON-LD) on the homepage.
Why: Currently missing all structured schema formats, making it harder for AI crawlers to parse app specifications, category, pricing, and operating systems.
Expected impact: Enhanced search engine rich results and cleaner entity mapping for AI answers.
P2 · technical — Sitemap implementation
Generate a sitemap.xml file, submit it to major search engines, and reference it in the robots.txt.
Why: The site failed the sitemap checks, meaning crawlers must discover pages manually which can lead to incomplete crawling.
Expected impact: Ensures AI bots and search engine indexers cover and refresh all relevant pages on the domain.
P3 · content — LLMs text assistant directory
Publish an llms.txt file containing structured plain-text/markdown summaries of ScanPro's features, prices, and download links.
Why: The check for llms.txt failed. Providing it offers AI agents a concise source of truth to answer queries about the app accurately.
Expected impact: More accurate, direct, and factual citations by LLM-powered search products like ChatGPT and Perplexity.
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