AI · Local Search Intelligence Case study
Local Falcon
An AI-powered local-search and geographic rank-tracking platform covering Google Maps, local search and generative AI visibility.
- Role
- Full-Stack AI & Platform Engineering
- Delivery
- Agent.Press engagement
- Disclosure
- Public product · Private topology and metrics omitted
- Links
- Product website
Verified proof
Location infrastructure spanning tens of millions of geographic records
The problem
What the system had to solve.
High-volume geographic rank tracking needed dependable analysis across Google Maps, local-search results and generative AI platforms.
What I owned
The responsibility behind the work.
Contributed to the high-volume location lookup system, AI Analysis Reports and Google Business Profile automation workflows.
Contributed to the high-volume location lookup system, AI Analysis Reports and Google Business Profile automation workflows, working with location infrastructure containing tens of millions of geographic records. Built lookup and fallback behaviour so an unavailable upstream source is reported as such rather than filled in with placeholder content.
Engineering approach
How it was built.
Worked with location infrastructure containing tens of millions of geographic records, requiring efficient search, processing, reporting and data-quality safeguards, including fallback paths that surface a real upstream failure rather than substituting placeholder content.
Analysis pipeline
- Data
- Enrichment
- AI analysis
- Report
Engineering scope
What I worked on.
- High-volume geographic lookup
- AI Analysis Reports
- Google Business Profile automation across its tool surface
- Fallback paths for unavailable upstream data
- Efficient search and processing
- Customer-facing reporting workflows
Impact
The verified result.
Supported richer customer reports, dependable automated workflows and location-scale processing.
Technology
The technical surface.
- OpenAI
- Bright Data
- Location intelligence
- High-volume search
- Automated reporting