Submit research questions, generate strategic queries, scrape Google results with Oxylabs, evaluate sources, extract insights in parallel, and deliver a comprehensive report.
The AI agent orchestrates the full research pipeline from user questions to a structured report. It generates queries and collects results via Oxylabs, then ranks sources by relevance and authority. Finally, it extracts insights and synthesizes them into a comprehensive, actionable report.
Executes the end-to-end research flow with automated data handling.
Ingests research questions from the user.
Generates strategic search queries.
Scrapes Google Search results with Oxylabs (up to 50 results per query).
Evaluates sources for relevance and authority.
Extracts key insights from each source in parallel.
Synthesizes findings into a comprehensive report.
before → 5 real pain points. manual digging takes hours and tab clutter; scattered sources undermine credibility; inconsistent source quality; difficulty ranking reliable sources; weak, disjointed narratives. after → 5 clear outcomes. faster topic delivery with a single, credible report; sources ranked with justification and citations; centralized data table with all findings; actionable insights highlighted; repeatable workflow for future topics.
A simple 3-step flow that non-technical users can follow.
User submits questions and context via chat; the AI agent stores and uses this to plan the research.
The AI creates strategic search queries and Oxylabs retrieves Google results for each query.
AI ranks sources for relevance, extracts insights in parallel, and compiles a final report.
A practical scenario showing inputs, processing, and outcomes.
Scenario: A marketing team wants best practices for AI-powered chat support. They submit the topic and constraints, the agent generates 6–8 queries, gathers 40–50 sources, extracts key insights, and delivers a 6-page report with sources and recommended actions in about 90 minutes.
Primary roles that gain fast, credible research outcomes.
Need rapid, credible topic deep-dives for articles or scripts.
Require evidence-based insights for campaigns and messaging.
Assess market trends and feature feasibility with solid sources.
Need scoping and synthesis across many sources quickly.
Require background, context, and citations for reports.
Can dramatically reduce time to literature reviews.
Key tools that enable the end-to-end research workflow.
Provides Google Search scraping and proxy handling to fetch results for each query.
Generates search queries, evaluates sources, and writes the final report content.
Orchestrates the chat interface, data table storage, and sub-workflow for parallel processing.
Stores intermediate results and the final synthesized report for easy export.
Common scenarios where this AI agent adds value.
Common questions about usage, reliability, and outputs.
You provide a research question or brief through the chat interface and any constraints or deadlines. The agent then generates search queries, scrapes results, evaluates sources, and compiles the final report. Outputs include a structured report with citations and a summary. You can rerun the workflow for additional topics or deeper dives.
Processing time depends on topic scope and the number of queries. In typical cases, the system completes a full, citation-backed report within an hour, but heavier or broader topics may take longer. The workflow is designed to run efficiently by performing parallel extractions and synthesis. You can adjust the number of queries to balance depth and speed.
Yes. You can configure the number of queries per topic in the AI settings or per request. More queries increase depth and breadth but also processing time and cost. The agent can automatically adapt query count based on topic complexity. You can also cap the total sources to keep outputs focused.
The agent prioritizes credible, authoritative sources and ranks them by relevance and trustworthiness. Google search results are collected via Oxylabs, then AI evaluates and selects sources for extraction. Citations and summaries are included in the final report. You can request alternative sources or domains if needed.
All inputs and results are handled within your configured platform and API providers. Data handling follows standard security practices, with options to limit data retention. If you use on-premises or private instances, your data does not leave your environment. You can review key policies in your admin dashboard.
Yes. The final report can be exported as a structured document with citations, or as a data table-compatible format for downstream workflows. You can also export the source list and extracted insights separately. The report is designed for immediate use in articles, briefings, or presentations.
The workflow is built around Oxylabs for scraping and a large language model for analysis. If you substitute with alternative data sources or models, you may need to adjust prompts and parallel processing settings. The architecture supports swapping components, though some features may require reconfiguration. For best results, use the intended Oxylabs + OpenAI combination.
Submit research questions, generate strategic queries, scrape Google results with Oxylabs, evaluate sources, extract insights in parallel, and deliver a comprehensive report.
