What We Were Solving
How We Built It
Built an API integration layer that pulls data from Google Search Console, SEMrush, and Ahrefs. Real-time dashboard showing rankings, traffic, and keyword insights. Automated monthly reporting in 30 seconds.SEO Tools Fragmentation. Too Many Platforms.
SEO professionals need data from multiple platforms. Semrush for keywords and competitor research. Google Search Console for indexation and rankings. Google Analytics for user behaviour. Bing Webmaster Tools for Bing search insights. Currently there's no unified view. Teams switch between platforms, losing context, spending time on data collection instead of strategy.
A typical workflow involves logging into four separate tools, pulling data manually, putting it in spreadsheets, and synthesizing insights. This is time-consuming and error-prone. Insights get stale because data isn't always fresh. Team members access different versions of truth. There's no single source reporting on overall SEO health.
The market needed a tool that unified this data. One dashboard. Real-time data from all sources. Actionable insights without switching platforms. We built Keyword Engine to solve this problem.
- SEO data scattered across four platforms. No unified view.
- Manual data collection. Time-consuming synthesis process.
- Data staleness. Insights delayed and disconnected.
- No single source of truth for team reporting.
- Expensive subscriptions to four platforms. No consolidation.
Unified SEO Dashboard with Real-time API Integration
Keyword Engine connects directly to Semrush, Google Search Console, Google Analytics, and Bing Webmaster Tools APIs. On a single dashboard, users see keyword rankings, search visibility, traffic insights, and user behaviour. Data refreshes in real-time. No manual exports. No spreadsheets.
The tool implements custom data synthesis. It normalises data across platforms with different metrics and naming. It identifies trends. It flags opportunities and issues. It shows what's working and what needs attention. SEO teams save hours per week on data collection and can focus on strategy and implementation.
API Integration
Connects to Semrush, Google Search Console, Google Analytics 4, and Bing Webmaster Tools. Secure OAuth authentication. Real-time data sync. Automated refresh intervals.
Unified Dashboard
Single view across all data sources. Keyword rankings and trends. Search visibility metrics. Traffic insights. User behaviour overlaid with search data. Historical trend analysis.
Intelligence Layer
AI-powered insights and alerts. Identifies ranking opportunities. Flags competitor movements. Highlights drops and anomalies. Actionable recommendations based on data patterns.
Reporting
Automated report generation. Customisable dashboards per team member. Export capabilities. Scheduled email reports. White-label options for agencies.
Development took 14 weeks. 2 weeks for architecture and API planning, 5 weeks for API integrations and data pipelines, 4 weeks for dashboard and UI, 2 weeks for testing and 1 week for launch. The tool is now in production with active users.
From Concept to Production Tool
Architecture and Planning
Designed system architecture for multi-API integration. Planned data normalisation strategy. Designed database schema. Security and authentication protocols. Scalability for future platforms.
API Integration Development
Implemented Semrush API integration. Google Search Console API integration. Google Analytics 4 API integration. Bing Webmaster Tools API integration. Data normalisation and transformation logic. Background job processing for data sync.
Dashboard and UI Build
Dashboard layout and data visualisations. Keyword ranking widget. Search visibility widget. Traffic insights. User behaviour integration. Custom alert system. User authentication and access control.
Testing and Optimisation
End-to-end testing of all APIs. Data accuracy validation. Performance testing at scale. Security audit. Load testing. API response time optimisation.
Launch and Production
Deployed to production. Monitored system stability. Onboarded initial users. Collected feedback. Monitored API quotas and costs. Deployed optimisations based on user feedback.