Queensland Trust for Nature (QTFN) needed a reliable, searchable directory of grassroots environmental groups and activities across the state. Leveraging a hybrid AI-augmented and manual deep-research approach, we compiled and validated a sample dataset of >200 entries, each with full metadata (organisation name, postcode, geocoordinates, category, activity, URL, contacts, etc). This dataset then powered an embeddable interactive map, giving QTFN staff and website visitors an intuitive way to discover and connect with conservation efforts across Queensland.
Our Solution
We designed a two-phase methodology: first, AI-Driven Candidate Harvesting using Cursor AI and Apify to gather a broad list of potential organisations. Second, Hybrid Deep Research & QA via Perplexity-assisted queries plus manual verification of every URL, contact, and metadata field, resulting in: • Automated geocoding for all entries to feed into the interactive map • Custom Excel workbook and accompanying .txt metadata files for each of the 203 entries • Clear templates and documentation so QTFN’s team (and future interns) can scale or maintain the data with minimal overhead
