Automate the flow of SEO data, competitive intelligence, and marketing analytics between your GCP data lake and Semrush platform. Stop manually exporting keyword rankings, backlink reports, and campaign data to Cloud Storage — or uploading bulk data for Semrush analysis.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically export Semrush position tracking data, organic search rankings, and keyword performance metrics to Cloud Storage buckets on a daily schedule. Maintain historical SEO trend data in your data lake for long-term analysis and cross-platform correlation with GA4, Search Console, and revenue data.
Pull competitive intelligence reports from Semrush — including competitor domain analytics, backlink profiles, and traffic estimates — and stage them in Cloud Storage formatted for BigQuery ingestion. Enable data science teams to combine competitor insights with internal performance data for strategic planning.
Upload CSV files containing thousands of domains, URLs, or keywords from Cloud Storage directly into Semrush for batch SEO audits, competitive analysis, or rank tracking setup. Eliminate manual imports when scaling SEO monitoring across large site portfolios or client lists.
Automatically save Semrush site audit results — including crawl errors, broken links, page speed issues, and technical SEO recommendations — to Cloud Storage in JSON or CSV format. Create audit trails for compliance and feed technical issues into engineering ticketing workflows via downstream pipeline stages.
Export Semrush keyword magic tool results, search volume data, keyword difficulty scores, and SERP feature opportunities to Cloud Storage. Make keyword research datasets available to content teams through Looker Studio, Data Studio, or custom dashboards that pull from GCP storage layers.
Detect new files or metadata changes in Cloud Storage buckets that indicate product launches or content deployments, then automatically add URLs to Semrush position tracking projects. Keep SEO monitoring aligned with release cycles without manual configuration updates after each deployment.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Google Cloud Storage and Semrush with OAuth or API credentials. Redbird never stores your data — it just passes through.
Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.
Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.
Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.
Redbird understands both Semrush's marketing analytics schemas and Cloud Storage's object structure, bucket policies, and GCP data pipeline patterns — no custom scripts or middleware required.
Redbird natively parses Semrush API responses — from position tracking exports and domain overview metrics to backlink reports and site audit JSON — and maps them to Cloud Storage objects with intelligent naming, partitioning, and folder hierarchies. The AI handles Semrush pagination, rate limits, and data schema variations across report types, then stages everything in Cloud Storage formats optimized for BigQuery external tables, Dataflow ingestion, or Vertex AI model training. No need to write transformation logic for each Semrush report type or manually configure storage paths.
faster than building custom Cloud Functions to export and stage Semrush data
Redbird can pull from Google Cloud Storage and Semrush simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.
Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either Google Cloud Storage or Semrush.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Google Cloud Storage into Semrush, or from Semrush back into Google Cloud Storage. Resolve conflicts with configurable merge rules.
Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.
Start automations from any event in Cloud Storage or Semrush — new ranking data, uploaded files, completed audits, or bucket changes.
Trigger when files or datasets are uploaded to specified Cloud Storage buckets or folder paths.
Detect changes to object metadata, custom attributes, or storage class transitions.
Run periodic checks for new or modified objects matching naming patterns or date ranges.
Write CSV, JSON, or Parquet files to Cloud Storage with configurable folder structure and naming.
Move objects to lower-cost storage classes based on age or metadata rules.
Generate external table definitions pointing to Cloud Storage objects for immediate querying.
Trigger when Semrush updates keyword rankings and position tracking data for monitored projects.
Detect when Semrush finishes crawling a domain and generates new technical SEO audit results.
Monitor changes to domain backlink counts, referring domains, or authority scores in Semrush.
Automatically create or update Semrush ranking projects with new URLs or keyword lists.
Pull keyword magic tool results, search volumes, and difficulty scores into structured files.
Initiate on-demand Semrush site crawls for specified domains or URL lists.
Sync Google Cloud Storage with Semrush and automate the SEO data workflows your marketing and data teams need. Build pipelines in minutes, not sprints.