Monitor target business profiles, query Brave Search and Google Gemini, validate results, and return a structured list of prospect names and URLs.
This AI agent automates the initial phase of prospecting: it interprets your target profile, runs multi-source searches, performs lightweight relevance checks, and delivers a ready-to-use JSON list of prospect names and website URLs.
Performs rapid surface discovery and prepares outbound targets.
Parse target criteria: business_type, location_query, and keywords to define search scope.
Query Brave Web Search to surface candidate company names and URLs.
Query Google Gemini Search for context-aware discovery of mentions.
Validate relevance via lightweight checks (local presence, keyword matches).
Assemble results into a structured JSON array with fields like business_name and website_url.
Return the prospect list to the calling workflow or tool for downstream processing.
Before: manual multi-source search wastes time and yields inconsistent data. Before: difficulty targeting by industry and location leads to broad, unfocused lists. Before: time spent validating relevance is costly and error-prone. Before: leads are scattered across tools with no single view. Before: delays handing off clean data to SDRs due to incomplete results. After: automated surface of verified prospects with names and URLs in one place. After: consistent data across campaigns and tools. After: faster, scalable outreach. After: adaptable to different territories and industries.
A simple, three-step flow that anyone can follow.
Parse inputs (business_type, location_query, keywords) to determine search scope.
Run Brave Web Search and Google Gemini Search to surface candidate companies.
Perform lightweight relevance checks and export a JSON list of prospects.
A realistic scenario showing inputs, time, and output.
Scenario: A sales team needs 5 local artisan bakeries in Portland, Oregon. Inputs: business_type = 'artisan bakery', location_query = 'Portland, Oregon', desired_num_prospects = 5, additional_keywords = 'organic'. Time: about 5 minutes. Output: a JSON array with 5 objects containing business_name and website_url for outreach.
Roles that can leverage automated prospect discovery for outreach.
Needs quick, territory-specific lead lists to start conversations.
Maps local markets to tailor campaigns with relevant targets.
Identifies new partnership or client targets in defined regions.
Gets a fast landscape view for a chosen industry and city.
Finds nearby potential customers or partners quickly.
Keeps outreach hygiene by sourcing clean target lists.
The AI agent runs inside an n8n workflow and connects to search and scraping tools.
Broad candidate discovery and URL retrieval.
Contextual discovery and mentions across sources.
Verify local presence and obtain URLs for candidates.
Rapid relevance checks on uncertain sites by scanning page content.
Practical scenarios to apply Prospect Discovery AI Agent for outbound gains.
Common concerns about hosting, data, and integration.
Yes. Provide business_type and location_query to constrain results. The agent uses Brave and Gemini to surface candidates within the defined scope and applies lightweight checks to filter irrelevant results. It then returns a compact JSON array of prospects with names and URLs for immediate use.
The workflow described is designed to run inside an n8n instance and can be deployed on self-hosted infrastructure. If you operate in the cloud, ensure your environment can access Brave Search, Google Gemini, and Jina AI services. The agent’s system prompt can be tuned for stricter matching or broader discovery. It’s compatible with self-hosted deployments.
The agent outputs a JSON array of prospects with fields such as business_name and website_url. It avoids deep research; the goal is to surface relevant candidates quickly. You can extend the schema in downstream steps to capture additional fields. The data is suitable for immediate export to SDR workflows or CRMs.
Yes. The final JSON can be consumed by downstream tools in an n8n workflow and mapped into CRM records. You can clamp the number of results, deduplicate, and schedule recurring runs. For deeper enrichment, you can add a separate step to pull firmographics.
Accuracy depends on signal quality from Brave and Gemini and the strictness of the checks you enable. The agent performs lightweight verification to weed out obviously irrelevant results. You can tune the system prompt to tighten or loosen matching. For most scenarios, expect a practical, usable list rather than a perfect capture of every target.
Yes. The system prompt can be customized to emphasize different strategies or sources. You can adjust keywords, regions, and verification rules. The agent is designed as a modular prototype that can be extended with additional data sources. Regular updates to credentials and access tokens are supported.
The agent requires credentials for Brave, Gemini, and Jina services. Ensure you’re within API rate limits and manage tokens securely. If a source is temporarily unavailable, the agent can skip or retry according to configured policies. You can also throttle requests to avoid triggering anti-bot measures. Always consider compliance with data usage policies.
Monitor target business profiles, query Brave Search and Google Gemini, validate results, and return a structured list of prospect names and URLs.
