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MaloniAi — Lithuanian AI Call Center

A conversion-focused multilingual landing page for MaloniAi, a Lithuanian AI call-center and virtual receptionist platform that answers calls, makes follow-ups, and presents 24/7 customer communication in a clear business-ready format.

Client MaloniAi
Industry AI / Automation / SaaS landing page / Voice assistant
Year 2026
MaloniAi — Lithuanian AI Call Center

Project overview

MaloniAi needed a landing page that could explain a new AI service category quickly: what an AI call center does, where it fits in a business, how the demo works, and why Lithuanian-language voice automation matters.

Problem and context

Many businesses miss calls, repeat the same customer conversations, and struggle to scale phone-based sales or support without hiring more staff. MaloniAi had to make AI phone automation understandable for Lithuanian businesses, from clinics and ecommerce to real estate, logistics and customer support.

What BigWeb.eu did

  • Structured the page around practical business use cases and clear conversion blocks
  • Presented the product as an AI call center and virtual receptionist, not abstract AI hype
  • Organised messaging around inbound calls, outbound calls, knowledge base, voice instructions and sales workflows
  • Shaped model and pricing sections as product-page capabilities rather than verified BigWeb.eu results
  • Planned a demo CTA flow focused on a fast live test call
  • Prepared a reusable multilingual content structure for future EN/LT/RU expansion

Outcome

The final structure makes a complex AI voice product easier to understand, gives Lithuanian businesses concrete examples, and creates a clearer path from curiosity to a live demo/test call. Numbers visible on the MaloniAi website are treated as product messaging or platform capabilities, not audited BigWeb.eu performance results.

Results

Clearer — AI product positioning

The page explains AI phone automation through practical business scenarios instead of abstract AI claims.

Stronger — Demo conversion path

The CTA flow focuses on a fast test call so visitors can experience the product directly.

Ready — Multilingual and SEO structure

The content structure supports Lithuanian-first messaging and future multilingual expansion.

Tech stack

  • Landing page UX
  • Multilingual content
  • SEO structure
  • AI voice assistant positioning
  • CRM/API integration concept
  • Telephony integration concept
  • Conversion-focused CTA
  • FAQ/content architecture

FAQ

What was the goal of the MaloniAi landing page?
To explain a Lithuanian AI call-center product clearly and convert visitors into demo or test-call leads.
Why was the content structure important?
AI phone automation is still a new category for many businesses, so the page had to explain features, use cases, pricing and trust factors quickly.
Was the page built only for one language?
No. The public site presents Lithuanian and English versions, and this BigWeb.eu portfolio case study is prepared in English, Lithuanian and Russian.
What kind of businesses is MaloniAi positioned for?
Ecommerce, clinics, beauty salons, real estate agencies, logistics, telemarketing, sales and customer support.
Should performance numbers be used in the case study?
Only if confirmed. Numbers visible on the MaloniAi site are treated as product messaging, not verified BigWeb.eu case-study results.
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