Automate the flow between your data transformation layer and SEO analytics platform. Stop manually exporting Semrush metrics to CSV or copy-pasting SQL to build marketing performance models. Redbird syncs search data, rankings, and competitor intelligence directly into dbt-ready tables.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Pull daily keyword position tracking, search volume, and SERP features from Semrush into your warehouse as raw staging tables. Automatically trigger dbt runs to transform this data into clean, tested analytics models. Build historical ranking trends with full lineage documentation.
Extract competitor domain authority, backlink counts, and referring domains from Semrush at scheduled intervals. Feed these into dbt staging layers where you can join with internal performance data. Create tested models that benchmark your SEO performance against competitors.
After transforming multi-source content data in dbt—combining CMS metrics, traffic, conversions, and SEO signals—send aggregated performance scores back to Semrush. Enable marketing teams to view holistic content ROI alongside native SEO metrics without switching tools.
Monitor data quality tests in dbt models built on Semrush ranking imports. When unique key violations, null checks, or freshness tests fail on SEO performance tables, automatically notify marketing ops in their workflow. Prevent broken dashboards from stale or malformed search data.
Append organic search landing pages, keyword intent categories, and traffic estimates from Semrush to your dbt customer models. Combine first-party behavioral data with SEO intelligence to understand which segments discover you through search and what queries drive high-value users.
When you add new tracked keywords, domains, or competitor projects in Semrush, automatically trigger dbt documentation regeneration. Keep data dictionaries and lineage graphs current as your SEO monitoring scope evolves, ensuring analytics engineers always reference up-to-date source definitions.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize dbt 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 dbt's data transformation layer—models, tests, snapshots, and seeds—and Semrush's marketing analytics structure, from keyword databases to domain authority metrics.
Redbird maps Semrush API endpoints—Position Tracking, Backlink Analytics, Domain Overview, Keyword Magic Tool—to dbt staging conventions automatically. It recognizes your warehouse schemas, identifies appropriate incremental strategies for daily ranking snapshots, and suggests data quality tests specific to search metrics. The AI understands when to use dbt snapshots for tracking ranking changes over time versus incremental models for cumulative backlink growth, preserving historical SEO performance without manual configuration.
faster than building custom Semrush API extractors and dbt model boilerplate
Redbird can pull from dbt 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 dbt 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 dbt into Semrush, or from Semrush back into dbt. 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 dbt model run or Semrush tracking update—Redbird handles the coordination across your data and marketing stack.
Fire workflows when specific models finish building, whether successful or failed, for downstream reporting or alerting.
Detect when data quality tests on SEO models fail, triggering investigation workflows or stakeholder notifications.
Capture when slowly changing dimensions in ranking or backlink snapshot tables detect new historical states.
Execute specific models or selection sets on-demand when fresh Semrush data arrives in staging tables.
Run data validation tests on Semrush-sourced models after transformation to ensure SEO data integrity.
Refresh dbt Docs site automatically when Semrush schema changes require updated lineage or column descriptions.
Detect when Semrush refreshes position tracking data for your monitored keywords and domains.
Trigger workflows when competitor or owned domain backlink counts cross thresholds or new referring domains appear.
Fire automations when Semrush finishes crawling your site and updates technical SEO health scores.
Automatically set up new keyword monitoring projects in Semrush based on content plans stored in your warehouse.
Add or remove keywords from Semrush position tracking when dbt models identify new search opportunities from content analysis.
Generate and retrieve custom Semrush reports programmatically for archival or further transformation in dbt.
Sync dbt and Semrush in minutes. Build version-controlled SEO analytics pipelines without custom API code or manual CSV workflows.