Pika AI is a new and better search engine that harnesses AI technology and helps people find the most relevant and interesting information from across the web.
About
the project
The founders of Pika AI set out to create a new and better search engine, dedicated to helping users discover the most relevant and captivating information across the web. Their approach involves a curation and indexing of premium sources, all harnessed through AI technology.
Lazarev. was entrusted by the client to create a search engine with an enhanced user experience.
We wanted establish a pioneering benchmark in the realm of digital search excellence. So our team set out to create a search engine built on the intersection of great UX, while providing access to a wide range of information.
Their attention to detail and commitment to delivering high-quality work on time was truly impressive.
The Project’s
Discovery Phase
Developing AI-powered chat system
Our dedicated focus was on the creation of an AI-powered chat system that enhances the search experience and significantly reduces search time.
To achieve this, we strategically positioned the AI widget, accentuated by vibrant colors, immediately below the search bar. This intentional placement, design accents, and interactivity ensure its prominent visibility and guide users effortlessly into initiating a chat.
Streamlining mobile experience
We have invested considerable effort in optimizing the mobile user experience, acknowledging the significant percentage of individuals who rely on mobile devices for their information searches.
With a strategic focus on consistency, we have thoughtfully retained the same design system, ensuring that our AI chat remains a prominent and accessible feature across all platforms.
Elevating search efficiency
As users input their search queries into Pika AI, they are  presented with a dynamic SERP page that offers a rich array of content.
The page is  designed, adhering to the widely recognized F-pattern, optimizing the user's visual journey. The interface is structured around a block-based design system with linear attributes, facilitating an intuitive flow of information.
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