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AI Visibility Scorecard

Rast Mobile

Rast Mobile

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rastmobile.com · Technology

Somewhat visible. AI bots can read Rast Mobile, but it is missing the structured signals that push citation rate above competitors.

AI engines read this profile 3 times

ChatGPT · Claude

#65,251 of 2,808,083 in Technology for AI visibility

6.7

/10

AEO Score

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About Rast Mobile

from our crawl and measurement

"We have built iOS and Android apps since 2014. One team handles Flutter, React Native, backend services, web panels and existing-system integrations." That is how Rast Mobile of Zeytinburnu, İstanbul introduces itself. To AI engines like ChatGPT and Perplexity it is partially visible, scoring 6.7 out of 10, readable in places and missing in others.

On the page itself the strengths are clear: structured data describing the business, a clear heading structure, a clearly stated business identity, visible credibility markers, crawler access and the files AI engines look for and sitemaps and entity links AI can follow.

Away from its own site, other sites link to it. There is some, but not much, sign that the domain is only lightly established. Beyond that, AI engines do not yet recognise it as a distinct business, there is no press coverage to draw on, nobody is discussing it where AI engines look and it does not come up on Reddit. Those are earned elsewhere on the web, not fixed on the site itself.

AI crawlers have visited 3 times in our tracking, including GPTBot (ChatGPT) and ClaudeBot (Anthropic). It does link out to several social profiles, which helps engines tie the brand together.

Industry · Technology
Last scored · Aug 2, 2026

The 6 signals AI reads

Higher is better · 0-10

Structured Data

9

Organization / LocalBusiness JSON-LD that AI can read.

Content Structure

9

Clear headings and answer-style content.

Entity Clarity

10

How clearly your brand identity reads to AI.

E-E-A-T Signals

Experience, Expertise, Authority, Trust

7

Experience, Expertise, Authority, Trust markers.

Technical AEO

10

robots.txt, llms.txt, and AI-bot crawl access.

AI Discoverability

9

Sitemaps and entity links AI can follow.

Off-page authority

How the web signals your brand to AI

Backlinks

9

Inbound links from other sites.

Domain Trust

4

Established authority for your domain.

Entity Presence

0

Not in AI knowledge graphs yet.

News Mentions

0

No press coverage found yet.

Community

0

No community discussion yet.

Reddit

0

No Reddit mentions found yet.

What this score means

Your AEO score measures whether AI search engines - ChatGPT, Claude, Perplexity, Gemini - can actually read your site and cite it in answers. Roughly two-thirds of sites are invisible to them. At 6.7/10, Rast Mobile has a working base to build on - fixable, and the signals above are where to start.

Frequently Asked Questions

Examples of successful mobile ERP app features

Successful mobile ERP apps typically include: Real-time data access for inventory, sales, finance, and customer information; push notifications and alerts for approvals, low stock, or new orders; mobile workflow approvals for purchase orders, expenses, leave requests, and timesheets; task and project management for assigning and tracking work; sales and CRM tools for managing leads and pipeline updates; inventory and order management for checking stock and tracking fulfillment; mobile shopping cart, product search, and secure payments; geo-location and store locator features for field operatio

How to choose between Flutter and React Native for ERP apps

Flutter (Dart) is often preferred when you need highly consistent UI, rich custom interfaces, and strong performance across iOS and Android from a single codebase. React Native (JavaScript/TypeScript) is a strong fit when you want rapid development, strong web ecosystem integration, or you already have JavaScript expertise and existing web-based ERP services to connect with. A practical approach is: choose Flutter for visually complex, performance-sensitive ERP apps; choose React Native for faster iteration, web-aligned stacks, and teams already invested in JavaScript.

Cost breakdown for cross-platform mobile app projects

Cross-platform mobile app costs typically depend on team rates, scope, integrations, and ongoing maintenance. Development cost varies by location and seniority (for example, mid-sized apps in some markets may range around €20,000–€50,000, while higher-cost markets can be €50,000–€100,000). Using Flutter or React Native can reduce cost by sharing a single codebase across iOS and Android, often saving significant development time. Advanced ERP features like real-time data, approvals, analytics, and complex permissions increase effort compared to basic login, data views, and simple forms. Ongoing

Best practices for mobile ERP data security

Key security practices for mobile ERP apps include: encrypting data in transit (TLS) and at rest (strong encryption standards); using strong authentication such as MFA and optional biometric login; implementing role-based access control so users only see what they are allowed to see; securing APIs with token-based authentication and proper authorization checks; running regular security audits and penetration testing; and following relevant privacy and compliance requirements (such as GDPR or industry-specific rules) depending on your sector and geography.

Case studies of React Native enterprise apps for ERP use cases

Enterprise teams use React Native for ERP-style apps when they need mobile access to operational data, approvals, inventory actions, and dashboards while keeping strong integration with web systems. Common outcomes include faster delivery with a shared codebase, consistent cross-platform UX, and easier integration with existing web services and APIs. Typical modules include real-time reporting, workflow approvals, inventory and order operations, CRM features, and role-based dashboards designed for field and office teams.

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The exact fixes for Rast Mobile

Which AI engines already crawl you

Weekly ChatGPT & Claude citation tracking

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Source & Attribution

Scored by Engagemii on August 2, 2026. Methodology: engagemii.com/aeo/methodology

Source URL: https://engagemii.com/aeo/brands/rastmobile

Cite this score: Engagemii (2026). "AEO Score for Rast Mobile." Retrieved from https://engagemii.com/aeo/brands/rastmobile

Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.

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