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Locallogy
4 months
Marketing and advertising
USA
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Locallogy is a digital marketing agency specializing in SEO and online visibility services for small, local service providers across the U.S. Their focus lies in delivering actionable marketing strategies, competitive intelligence, and technical audits for websites with lean footprints but high local impact. The agency relies heavily on data to deliver monthly performance reports and tailor optimization strategies.
Unified SEO data from multiple tools Automated audits across key SEO dimensions
Dynamic reporting to Looker and Sheets
Editable interface for manual data input
Data Engineer
Cloud Architect
SEO Analyst
Product Manager
Contractual hiring
Eliminating Data Gaps, Inefficient Reporting, and Weak Customer Understanding
Disparate tools like GA4, GSC, ScreamingFrog, and Ahrefs lacked a unified view
Tedious workflows across spreadsheets, APIs, and platforms caused delays
Needed technical + content + competitive audits standardized at scale
To streamline SEO operations, we must centralize data from tools like GA4, GSC, ScreamingFrog, and Ahrefs into a single, unified source. Automating technical and content audits will enable consistent monthly reporting. Selecting a collaborative platform that supports real-time edits and integrates with Looker or ClickUp is essential. Ensuring scalability without added effort will allow seamless onboarding of new clients while maintaining audit quality and operational efficiency.
● How do we centralize SEO, content, and competitive data into one source?
● Can we automate technical and content audits for monthly reporting?
● What platform enables collaboration, real-time edits, and output to Looker or ClickUp?
● How do we ensure scalability across new clients without increasing effort
Automated, Scalable Framework for SEO Audits and Reporting
To create a scalable and automated SEO audit framework, we built Python-based ETL pipelines that integrated data from ScreamingFrog, GA4, GSC, AWR, and Ahrefs. These pipelines were orchestrated using Google Cloud’s Compute Engine and Cloud Scheduler to automate crawls and data fetches on a regular cadence.
Structured data was normalized and stored in BigQuery, creating a centralized source for analysis and reporting.
To support flexibility, we developed a user-friendly interface using Google Sheets and Retool, allowing SEO teams to input ad hoc context, override data when needed, and generate tailored insights. This approach streamlined workflows and improved audit consistency at scale.
reduction in manual reporting time through automation workflows
cost savings achieved in data processing operations
increase in client retention with data-driven SEO insights
growth in data capacity to support new clients
DataRopes.ai is a global technology partner which delivers end to end services like data engineering, data analysis, data science and AI & ML
Reviewed on
150 E B St Lbby # 1810
1106 A, 11th floor, Haly Tower,
Sector R DHA Phase 2, Lahore
DataRopes.ai is a global technology partner which delivers end to end services like data engineering, data analysis, data science and AI & ML.
Reviewed on
Address
150 E B St Lbby # 1810
1106 A, 11th floor, Haly Tower,
Sector R DHA Phase 2, Lahore
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