Automate the discovery, analysis, and outreach of local business leads by combining Google Maps data, Gemini AI, and Sheets.
This AI agent searches Google Maps via SerpApi to identify local businesses, filters results by location, and highlights those with weak digital presence. It then analyzes each lead with Gemini AI to generate a priority score and a tailored outreach plan. Finally, all enriched leads and strategies are saved to Google Sheets for immediate action by the sales team.
Automates lead discovery, scoring, and outreach planning in one flow.
Ingest keywords and fetch Google Maps results via SerpApi.
Filter results by region and prioritize the lowest-rated or incomplete listings.
Analyze each lead with Gemini AI to surface weaknesses and assign a priority score.
Generate personalized sales pitches and email copy for outreach.
Format and enrich data with AI strategy and store in Sheets.
Save all enriched data and outreach plans to Google Sheets for immediate follow-up.
Before, teams struggled to quickly identify target leads from Google Maps, assess online presence, and craft outreach. The AI agent consolidates data from SerpApi and Gemini AI into a single, actionable list. Before →
A simple 3-step flow that non-technical users can follow.
Enter search terms and trigger the AI agent to pull real-time local results from Google Maps via SerpApi.
The AI agent narrows results by region, ranks by rating, selects the top 5 with lowest ratings or missing data, and analyzes each lead to assign a priority score.
Gemini produces personalized sales pitches and email copy, and the agent saves enriched data and outreach plans into Google Sheets.
A realistic scenario showing time, task, and outcome.
Scenario: A marketing team wants a Lima-based local lead list of restaurants with weak online presence for a 60-minute outreach sprint. The AI agent runs a keyword search for 'restaurants in Lima', fetches the top 20 results, filters to the region, and selects the 5 lowest-rated with missing information. It then uses Gemini AI to generate a tailored sales pitch and email copy for each lead and saves five enriched rows to a Google Sheet with Company Name, Rating, Address, AI Score, and Sales Strategy. Outcome: A ready-to-call outreach list and personalized scripts ready for immediate use.
Roles that gain from automated local lead generation and outreach.
Need fast, qualified local leads with a clear outreach plan.
Must scale local lead generation across multiple clients with consistent messaging.
Require city-level lead discovery and standardized outreach templates.
Identify optimization targets and concurrent outreach opportunities.
Need a prioritized workload with ready-to-send content.
Want to discover new customers in nearby areas quickly.
Tools connected to the AI agent and how they are used inside them.
Fetch real-time Google Maps results based on search keywords.
Analyze each lead, assign a priority score, and generate outreach content.
Record enriched leads, AI scores, and outreach plans for immediate action.
Practical scenarios that show the AI agent in action across markets.
Common questions about using the AI agent in practice.
The agent combines Google Maps data (ratings, completeness of information, location) with Gemini AI insights to score each lead. It weighs signals like missing contact details and low ratings to rank conversion risk and opportunity. The priority score guides outreach urgency and resource allocation. You can adjust the weighting to fit your sales strategy. The result is a transparent, data-driven order of operations.
The agent uses Google Maps results via SerpApi for real-time local listings and Gemini AI for analysis. It enriches each lead with computed scores and a tailored sales strategy. All data is stored in Google Sheets for traceability. You can customize the keywords and regional filters to match your target market. Data handling follows your connected account permissions.
Yes. You supply the initial keywords and target region(s). The AI agent uses these inputs to retrieve relevant Google Maps results and apply regional filters. You can adjust the scope as needed before starting a run. This keeps the workflow aligned with your current campaigns and markets.
Enriched leads are written to a Google Sheet with columns for company name, rating, address, AI score, and sales strategy. The sheet can be connected to your CRM or used as a standalone outreach sheet. Access permissions control who can view or edit the data. You can reuse the sheet template for consistent formatting across runs.
API keys are stored in your authenticated account context and used only by the AI agent during runs. Access is restricted to authorized users. When a run completes, keys are not exposed in outputs and are not logged in plain text. You should rotate keys periodically as part of your security workflow.
Yes. The Gemini AI analysis includes drafting personalized email copy and sales pitch content tailored to each lead’s weaknesses. You can customize tone, length, and call-to-action. The generated content is stored alongside the lead data for easy copy-paste or automated sending via your email platform. You can also edit outputs before sending.
Runs can be triggered on demand or scheduled at regular intervals. Scheduling is configured in your connected automation environment and allows you to refresh the lead list with updated scores. Each run produces a fresh set of prioritized leads and updated outreach content. You can limit frequency to match your campaign cadence and avoid duplication.
Automate the discovery, analysis, and outreach of local business leads by combining Google Maps data, Gemini AI, and Sheets.
