Automate the flow between your enterprise database and digital marketing analytics. Stop manually exporting SEO data to CSV, wrestling with Semrush API limits, or rebuilding keyword performance tables every week.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Pull fresh ranking data from Semrush Position Tracking and organic keyword reports directly into normalized SQL tables. Keep historical SEO performance data in your warehouse without manual exports. Update dashboards and BI tools with clean, queryable ranking metrics.
Push product names, categories, and metadata from your database into Semrush for content gap analysis and keyword mapping. Automatically align SEO strategy with actual inventory and product launches. Ensure content teams work from current catalog data.
Join Semrush domain authority, backlink counts, and traffic estimates with revenue and conversion data from Azure SQL. Generate comprehensive reports that connect marketing performance to business outcomes. Eliminate the spreadsheet gymnastics between systems.
Capture Semrush competitor domain metrics, paid search spend estimates, and traffic data into timestamped database records. Build historical competitive intelligence datasets beyond Semrush's retention windows. Query multi-year trends to inform strategic planning.
Monitor Semrush position changes for keywords mapped to product SKUs in Azure SQL. Alert teams when rankings fall for categories driving significant revenue. Route notifications based on business priority stored in your database.
Push campaign identifiers, launch dates, and budget allocations from your operational database into Semrush projects. Connect paid and organic search tracking to internal campaign structures. Maintain consistent naming and segmentation across marketing tools.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Azure SQL 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 Azure SQL table schemas and Semrush's domain metrics, keyword data structures, and competitive intelligence reports — so your integrations work with the actual shape of your data.
Redbird automatically maps Semrush keyword metrics, domain scores, and backlink data to your Azure SQL tables without rigid field mapping. It understands position tracking exports, site audit results, and traffic analytics formats. The AI adapts when you add columns to your warehouse tables or change Semrush project configurations. You describe what data should flow and where — Redbird handles schema differences, data type conversions, and API pagination.
faster than building custom ETL scripts between Semrush API and Azure SQL
Redbird can pull from Azure SQL 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 Azure SQL 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 Azure SQL into Semrush, or from Semrush back into Azure SQL. 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 automation from any database event in Azure SQL or marketing activity in Semrush — and take action in either system.
Fire when records are added to specific tables, like new product launches or content publications.
Trigger when specific columns change, such as product category reassignments or pricing updates.
Run custom SQL queries on a schedule and trigger workflows based on result sets.
Write new records to Azure SQL tables with proper data type handling and transaction safety.
Modify rows based on key lookups, updating metrics while preserving referential integrity.
Trigger existing database logic and ETL procedures with parameters from Semrush data.
Fire when position tracking shows movement beyond defined thresholds for monitored keywords.
Trigger when Semrush detects new referring domains or backlinks to tracked URLs.
Fire when scheduled SEO audits finish, providing fresh technical health scores and issue counts.
Set up new position tracking projects with keyword lists sourced from database queries.
Register new competitor domains for ongoing traffic and keyword overlap monitoring.
Apply tags and categories to tracked keywords based on product metadata from Azure SQL.
Sync Azure SQL with Semrush in minutes. Stop exporting CSVs and start automating the flow between your enterprise database and SEO intelligence platform.