ORIGO

IA & SEO Website

Origo is a powerful platform designed to analyze and optimize websites by evaluating various aspects, such as SEO performance, content quality, and technical structure. The platform provides actionable insights and personalized recommendations to enhance a website’s visibility, relevance, and user engagement.

The project was developed as part of my university thesis, focusing on the intersection of UX/UI design, SEO optimization, and AI-driven content analysis. The goal was to create an intuitive and accessible tool that caters to freelancers, businesses, and professionals seeking to improve their online presence.

📖 Project Overview

Many businesses and website owners struggle to understand the technical and content-related factors that impact their online performance. Existing tools for SEO and content analysis are often too complex, lacking an intuitive user experience that simplifies the process.

Origo was designed to bridge this gap, offering a seamless, user-friendly interface that allows users to analyze their website in seconds by simply inputting a URL or uploading an HTML file. The platform breaks down complex SEO data into digestible insights, empowering users to take immediate action to improve their site’s performance.

🔍 Project Statement

🎯 Objectives & Goals

  • Create an accessible, easy-to-use platform for website analysis.

  • Optimize the user flow for website evaluation, ensuring that users can quickly understand their site's strengths and weaknesses.

  • Provide clear, actionable insights instead of overwhelming users with raw data.

  • Improve engagement and retention through a frictionless UX, guiding users from analysis to actionable recommendations.

  • Incorporate AI-driven content analysis to refine keyword strategy, content readability, and SEO structure.

🗂️ Research Phase

Methodology:

To ensure Origo addressed real user pain points, I conducted extensive research, including:

  • Competitive Analysis of existing SEO & content analysis tools (e.g., Google Search Console, Semrush, Ahrefs, Screaming Frog).

  • User Interviews with website owners, digital marketers, and small business owners.

  • Surveys to collect quantitative data on user expectations for website analysis tools.

  • Usability Testing to refine the analysis flow and dashboard interface.

📁 Key Findings

  1. Overcomplexity in existing tools – Many SEO tools provide excessive, highly technical data, which confuses non-expert users.

  2. Need for a guided process – Users prefer a step-by-step approach rather than being overwhelmed with data all at once.

  3. Content clarity matters – Users struggle with SEO content optimization because they don’t know how to adjust their meta tags, headings, and keyword density effectively.

  4. Immediate feedback increases retention – Users are more likely to engage with the platform if they see instant results and a clear improvement roadmap.

🎨 Design Phase

The design process focused on creating an intuitive user flow, ensuring that every step of the website analysis was simple, engaging, and provided clear value.

1. Wireframing & User Flow Mapping

  • Low-fidelity wireframes were created to define the core user journey, ensuring an intuitive experience.

  • User testing sessions refined navigation elements and optimized the primary CTA buttons.

  • The step-by-step analysis process was mapped out to reduce cognitive load for users.

2. UI Design & High-Fidelity Prototypes

  • Minimalist, data-driven UI: Information was structured to highlight key insights first, avoiding overwhelming users with excessive data.

  • Color-coded analysis results: Users could quickly identify critical issues vs. areas with minor improvements.

  • Micro-interactions & animations: To enhance engagement, smooth transitions and subtle animations were integrated into key interactions.

  • Dark Mode Support: A visually comfortable interface was designed to cater to different user preferences.

3. Usability Testing & Iterations

  • Initial usability tests with real users identified friction points in data visualization and content analysis readability.

  • Iterative design improvements focused on refining navigation clarity, searchability of insights, and actionable feedback presentation.

✅ Outcome

Project Results:

  • User-friendly, fast website analysis tool that simplifies SEO & content performance evaluation.

  • Intuitive UI and dashboard that organizes SEO data into digestible, actionable insights.

  • High engagement rate, with users spending significant time exploring their site analysis results.

  • Smooth, structured analysis flow that reduces friction and increases conversion rates for registered users.

  • Positive feedback from early testers, especially regarding ease of use and the step-by-step approach.

Next Steps & Future Enhancements:

  • AI-powered recommendations for automated SEO fixes (e.g., suggested meta tags, title optimizations).

  • Expanded integrations with third-party tools like Google Search Console & Ahrefs.

  • Enhanced competitor analysis feature, allowing users to benchmark their site against competitors.

  • Progress tracking & historical comparisons, enabling users to see improvements over time.