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AI Visibility Scorecard
xgenious.com · Technology
Somewhat visible. AI bots can read Xgenious, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 2 times
Claude · Apple Intelligence
#56,665 of 2,638,879 in Technology for AI visibility
6.7
/10
AEO Score
from our crawl and measurement
"Custom software development company building SaaS, web apps, mobile apps, and AI agents that ship on time." That is how Xgenious of Dhaka 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.
Our crawl found structured data on the page (Organization, ProfessionalService, FAQPage), an llms.txt file for AI models and a sitemap.
AI crawlers have visited 2 times in our tracking, including ClaudeBot (Anthropic) and Applebot (Siri).
Higher is better · 0-10
Structured Data
10
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
6
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.
How the web signals your brand to AI
Backlinks
9
Inbound links from other sites.
Domain Authority
4
Established authority for your domain.
Reference Presence
0
Not in AI knowledge graphs yet.
News & Press
0
No press coverage found yet.
Community
0
No community discussion yet.
Social Mentions
0
No social discussion found yet.
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, Xgenious has a working base to build on - fixable, and the signals above are where to start.
How long does it take to build a SaaS from scratch?
MVP: 12–16 weeks. Full production SaaS with mobile, AI, and compliance layers: 20–24 weeks. You receive a committed launch date in the proposal — not a rolling estimate that shifts every sprint.
What's the best tech stack for a custom SaaS in 2026?
React + Next.js + TypeScript on the frontend. Node.js or Laravel on the API. PostgreSQL for the database. AWS for infrastructure. Flutter for cross-platform mobile. Claude or OpenAI + LangGraph + Pinecone for AI workloads. We match the stack to the build — this is our default, not a one-size-fits-all answer.
Should I hire a SaaS agency or build in-house?
Two mid-level US engineers cost roughly $260K per year — before equity, benefits, or onboarding time. Our MVP Pro engagement ships a production SaaS in 12–16 weeks. Most mid-market clients run hybrid: we ship the foundation, they hire 2 engineers to operate and extend it. We can help you structure that handoff.
What's the difference between multi-tenant SaaS and a custom web app?
Multi-tenant SaaS means one codebase serving many customers on subscriptions — with tenant isolation, billing, and usage limits baked into the architecture. A custom web app is one codebase serving one customer's workflow. Both are browser-delivered, but the architecture, data model, and pricing are completely different. We scope accordingly.
Can you add AI agents to my existing SaaS?
Yes — that's our AI Agent service line. We build RAG pipelines, agentic workflows, voice agents, and LLM features into existing platforms. We wire in eval harnesses, observability, and a real ROI model so you can measure what the agent is actually doing.
Who owns the code after delivery?
You do, 100%. IP transfers on final payment. Your GitHub repository, your cloud account, your App Store listing. No licenses, no revenue shares, no vendor lock-in of any kind.
Is this your brand?
The exact fixes for Xgenious
Which AI engines already crawl you
Weekly ChatGPT & Claude citation tracking
Your potential customers are asking ChatGPT, Gemini, and Claude questions about your product category. These AI models are giving answers without sending traffic to your website. You're not losing rank. You're losing visibility entirely.
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Scored by Engagemii on August 2, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/xgenious
Cite this score: Engagemii (2026). "AEO Score for Xgenious." Retrieved from https://engagemii.com/aeo/brands/xgenious
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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