Stop exporting database queries to manually build SEO reports. Redbird AI syncs your MySQL application data with Semrush marketing analytics, automating product performance tracking, content ROI analysis, and competitive intelligence enriched with operational data.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically push new products, categories, and SKUs from MySQL to Semrush Position Tracking. Monitor organic rankings for your entire catalog without manual keyword list maintenance. Keep SEO tracking aligned with inventory changes in real-time.
Pull competitor domain analysis, traffic estimates, and keyword overlap data from Semrush into your MySQL CRM tables. Segment prospects by competitive positioning and organic search visibility. Build richer customer profiles with marketing intelligence.
Match blog post URLs from MySQL analytics tables with Semrush position tracking, backlinks, and traffic data. Calculate true content ROI by combining organic visibility with conversion events. Automate executive reporting without spreadsheet exports.
Monitor MySQL sales or signup tables for specific product categories, then cross-reference Semrush ranking changes for related keywords. Identify when organic traffic shifts correlate with business outcomes. Trigger alerts when search performance impacts revenue.
Automatically pull daily position tracking, keyword difficulty changes, and SERP feature data from Semrush into MySQL archival tables. Build multi-year SEO trend datasets beyond Semrush retention limits. Query historical performance alongside business metrics.
Import Semrush backlink gap analysis and competitor link profiles into MySQL, then match referring domains to existing contact or partner records. Prioritize outreach based on relationship status and domain authority. Streamline link building workflows with existing data.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize MySQL 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 understands MySQL table schemas and Semrush project structures, automatically mapping product catalogs, conversion events, and user behavior to SEO metrics, rankings, and competitive intelligence.
Redbird maps MySQL tables—products, orders, users, page views—to Semrush entities like tracked keywords, projects, domains, and position data. Our AI automatically joins product SKUs to keyword sets, matches URL structures between transaction logs and ranking reports, and reconciles time-series data across different granularities. No need to write custom ETL scripts or maintain complex field mappings as schemas evolve.
faster than building custom MySQL-to-Semrush reporting pipelines
Redbird can pull from MySQL 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 MySQL 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 MySQL into Semrush, or from Semrush back into MySQL. 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 database changes in MySQL or marketing events in Semrush—Redbird connects both sides of your data stack.
Trigger when a new record is added to any MySQL table, like products, orders, or content URLs.
Fire when specific columns change in MySQL, such as product status, pricing, or category assignments.
Trigger when a custom MySQL query returns results meeting specific criteria or volume thresholds.
Write new records to MySQL tables from Semrush data like keyword rankings or competitor metrics.
Modify existing MySQL records with fresh Semrush data, updating SEO metrics alongside transactional data.
Execute parameterized SQL queries to perform complex updates or aggregations based on Semrush inputs.
Trigger when tracked keywords move up or down in rankings by a specified threshold in Semrush.
Fire when Semrush detects new referring domains or backlinks pointing to your tracked URLs.
Trigger when Semrush identifies new SEO health issues, broken links, or technical problems during site crawls.
Automatically add new keywords to Semrush position tracking based on MySQL product or content data.
Organize Semrush keywords with tags and labels derived from MySQL product categories or metadata.
Set up new Semrush tracking projects automatically when new domains or subdomains appear in MySQL.
Sync MySQL with Semrush in minutes, not weeks. Build automated workflows that connect your operational database with SEO analytics—no engineering backlog required.