Automates site analysis, URL mapping, and structured export to Google Sheets end-to-end.
AI Agent automatically analyzes a website to extract business intelligence, maps internal pages, and classifies each URL as product, category, or non-commerce. It uses Gemini AI for insights and Firecrawl for comprehensive URL mapping, then writes structured results to Google Sheets for easy sharing. The end-to-end flow enables quick decision-making with auditable data in a familiar spreadsheet format.
Performs data extraction, mapping, and structured export in one pass.
Ingests a website URL submitted via a form and initiates crawl and analysis.
Scrapes the homepage and key pages to extract company intelligence.
Maps all internal URLs with Firecrawl to create a complete site graph.
Enriches URLs with metadata like page type and taxonomy
Classifies each URL as product, category, or other.
Writes the results into Google Sheets with clearly labeled tabs.
The agent turns fragmented site data into a cohesive, auditable workflow. It reduces manual scraping and inconsistent tagging, and it delivers repeatable outputs suitable for leadership reviews and sales enablement.
Simple 3-step flow from submission to delivery.
A user submits a website URL through a form and initiates the agent workflow.
The homepage is scraped, AI extracts insights, and Firecrawl maps all internal URLs.
AI classifies each URL and writes results to Google Sheets in structured tabs.
A realistic, end-to-end scenario.
Scenario: A growth team wants a complete site map and product taxonomy for a SaaS homepage. Task: Submit the homepage URL and specify output in Sheets. Time: ~5–7 minutes. Outcome: Google Sheets with tabs for products, categories, and other pages, enriched with metadata and ready for reporting.
Roles that gain actionable site intelligence from the agent.
Need a structured view of a competitor's product taxonomy and page types.
Can enrich leads with precise product and category mappings to tailor outreach.
Can map product pages for targeted campaigns and landing page optimization.
Identifies category pages and internal linking opportunities for optimization.
Gains visibility into catalog structure and content gaps for roadmap planning.
Monitors competitor site structures and taxonomy changes over time.
Core tools used inside the AI agent workflow.
Stores structured results in tabbed sheets for sharing and analysis.
Crawls and maps internal URLs to build a complete site graph.
Extracts company insights and supports URL classification.
Orchestrates the end-to-end workflow across form submission, AI prompts, and Sheets writes.
Practical scenarios to apply the agent for repeatable results.
Common concerns and practical answers.
The agent crawls the submitted site to gather internal URLs and metadata. It uses AI prompts to extract business intelligence from the homepage and key pages. Firecrawl creates a complete map of internal links. The results are consolidated in Google Sheets for easy review and distribution.
Yes. Prompts can be tailored for different niches such as SaaS, ecommerce, or services. You can adjust criteria for classification, metadata fields, and output schemas. This allows the workflow to align with specific data needs and downstream processes.
Most runs complete within a few minutes for small sites and scale with site size. The exact duration depends on site complexity and the number of pages crawled. The agent processes results incrementally, so you can review partial outputs if needed.
Pages that don’t fit product or category taxonomy are labeled as 'other' or 'non-commerce'. The classification rules are configurable to better align with business goals. You can filter these pages later in Google Sheets or adjust prompts to reduce ambiguity.
Yes. The data is exported into clearly labeled Sheets tabs with metadata. This supports executive dashboards, quarterly reviews, and cross-team sharing. You can further enrich the sheet with scoring or tagging logic as needed.
The workflow is designed to be customizable. You can adapt prompts, adjust mapping rules, and extend the output structure. For custom implementations, you can reconfigure integrations and data fields to match client requirements.
The core pattern—crawl, extract, map, classify, export—can be reused with different data sources. You would swap the source URL input, adjust the extraction prompts for the new domain, and point the export to the relevant data sink.
Automates site analysis, URL mapping, and structured export to Google Sheets end-to-end.
