Redbird AI automates the data flow between your Azure data lake and Semrush marketing intelligence. Stop manually exporting CSVs, transforming SEO data, and rebuilding reports—let AI handle the entire pipeline from cloud storage to competitive insights.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Pull keyword ranking exports from Semrush, match them against historical performance data stored in Azure Blob Storage, and generate trend analysis reports. Surface seasonal patterns and long-term ranking movements without manual data joins.
Automatically export domain authority metrics, backlink profiles, and traffic estimates from Semrush to Azure Blob Storage on a daily schedule. Build a comprehensive historical database for trend analysis and competitive benchmarking over time.
Upload keyword target lists stored as CSV or JSON files in Azure Blob Storage directly into Semrush position tracking projects. Keep your SEO monitoring current as product teams update keyword strategies in centralized cloud storage.
Export competitor traffic, keyword gap, and backlink analysis from Semrush, transform the data into normalized schema, and store in Azure Blob Storage for downstream BI tools. Maintain a single source of truth for competitive intelligence across your stack.
Monitor landing page performance exports staged in Azure Blob Storage, cross-reference with current Semrush position data, and trigger alerts when key pages lose rankings. Catch SEO issues before they impact traffic.
Consolidate Semrush project data archived in Azure Blob Storage, apply AI-powered trend analysis, and generate executive summaries of organic performance. Deliver consistent weekly reporting without manual data wrangling or pivot tables.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Azure Blob 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 AI natively understands both Azure Blob Storage file structures and Semrush API schemas, so you can connect marketing analytics to enterprise data infrastructure without custom code.
Redbird automatically parses Semrush exports (keyword rankings, domain metrics, backlink profiles) and maps them to your Azure storage structure—whether you're using CSV files, JSON blobs, or Parquet datasets. The platform understands Semrush project hierarchies, position tracking schemas, and competitor analysis formats, then intelligently routes and transforms data across your Azure containers. No manual schema mapping or ETL scripting required.
faster than building custom Azure Functions to process Semrush data
Redbird can pull from Azure Blob 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 Azure Blob 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 Azure Blob Storage into Semrush, or from Semrush back into Azure Blob 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 Azure Blob Storage or Semrush, then take action across your entire marketing and data stack.
Trigger when CSV, JSON, or other files land in specific Azure storage containers or path prefixes.
Detect when blob tags, properties, or custom metadata fields change in Azure storage.
Run on a schedule to check for new or modified files matching specific naming patterns.
Write transformed datasets, reports, or analytics outputs to Azure Blob Storage containers.
Move older marketing data files to cost-effective Azure cool or archive tiers automatically.
Apply custom metadata tags to blobs for tracking processing status or data lineage.
Trigger when Semrush finishes refreshing keyword ranking data for tracked projects.
Fire when Semrush identifies a new competitive domain in your market or keyword space.
Start workflows when Semrush finishes crawling your site and generates new SEO health reports.
Bulk upload keyword lists to Semrush position tracking from Azure-staged CSV files.
Modify Semrush project configuration, tracked domains, or competitor lists programmatically.
Generate and retrieve traffic analytics, backlink data, or keyword reports from Semrush API.
Connect Azure Blob Storage and Semrush in minutes. Let Redbird AI handle the data pipelines so your team can focus on marketing strategy, not ETL maintenance.