AI Company Analysis to Google Sheets

This AI-powered workflow delivers a comprehensive, data-driven company analysis. It gathers information on company background, market landscape, team, products, investments, and financials using advanced AI agents and web research, then exports all findings into a structured Google Sheet for easy review and sharing. Ideal for investors, business strategists, and analysts seeking actionable insights into any company’s market position and growth potential.

Flows

How the AI Flow works

Collect Company Input.: Receives the company name and any user-provided files as the basis for analysis.
AI & Web Research.: AI agents search the web, retrieve relevant URLs, and extract key company data including market, team, products, and financial information.
AI-Driven Analysis.: Processes gathered information to generate deep insights on company background, market position, team, products, investments, and more.
Structure & Summarize Data.: Organizes all extracted and analyzed information into a structured data format, ready for export.
Export to Google Sheets.: Automatically creates a Google Sheet with the full company analysis for easy sharing and further use.

Prompts used in this flow

Below is a complete list of all prompts used in this flow to achieve its functionality. Prompts are the instructions given to the AI model to generate responses or perform actions. They guide the AI in understanding user intent and generating relevant outputs.

Company

Prompt to extract company overview, history, and notable achievements.

                Given the company name in the input, Extract the following data about company.

- About the company (Short Overview of what the company does)
- Company History (short history in bulletpoints)
- Notable Achievements (Description of key achievements or the company, awards won, articles and press mentions in respected media, etc ) - with links to source

Don't use abbreviations

---
COMPANY NAME: 
{input}
---
Internal documents:
{context} 
---

Problem & Solution

Prompt to extract the main problem the company solves and its solution.

                Given the company name in the input, Extract the following data about company.

- Problem (Simple description of the problem that the company identified and aims to solve.)
- Solution (High level description of the solution that the company built or is building)


Don't use abbreviations
---
COMPANY NAME: 
{input}
---
Internal documents:
{context} 
---

Market

Prompt to extract information about the target market, size, opportunities, and competition.

                Given the company name in the input, Extract the following data about company.

- Segment, Focus (who is target customer of the company)
- Point out what is target Market for company, 
- market background, 
- market size
- market opportunities
- Competition (Who are the key companies that seem to be competing on the same market or for the same use cases.  Describe the competitor, their size, revenue and funding raised. Identify top market leaders for their market segment)


Don't use abbreviations
---
COMPANY NAME: 
{input}
---
Internal documents:
{context} 
---

Team just list

Prompt to extract a list of team members and their roles.

                Given the company name in the input, Extract the following data about company.

based on the company, search in google and look to the content of urls and find the team members in the company
list the name of all team members and their role in the company.

do this for 1 or 2 important individuals in the company

Don't use abbreviations
---
COMPANY NAME: 
{input}
---
Internal documents:
{context} 
---

Product & alternativ

Prompt to extract company's main products/services, alternatives, and competitive advantages.

                Given the company name in the input, Extract the following data about company.

- Main company products or services (Describe key elements and features of the product proposition.)
- Product alternatives and competitors (with links to websites of alternative services and products to input company)
- list advantages against competitors

Don't use abbreviations
---
COMPANY NAME: 
{input}
---
Internal documents:
{context} 
---

investment

Prompt to extract investment and funding information about the company.

                Given the company name in the input, Extract the following data about company.

- Funding raised to date (Amount, who were the investors)
- if investors identified, for each investor make short summary of their investment portfolio, find link to their website
- Fundraising Details (How much did the company raise in previous rounds to date and in how many rounds. Did the company secure non-dilutive funding, grants or tenders?) 
- Existing/upcoming funding round, How much is the company raising? What is the expected valuation?

Don't use abbreviations
---
COMPANY NAME: 
{input}
---
Internal documents:
{context} 
---

GoToMarket

Prompt to extract go-to-market strategy, business model, and timing.

                Given the company name in the input, Extract the following data about company.

- Technology Readiness Level (TRL)
- Go to market/Distribution strategy (What is the go to market strategy? How does the company (plan to)  to get customers?)
- Business Model (Explain how the company plans to generate revenue, what is their pricing model and what are their costs (customer acquisition costs, etc).)
- Timing (Describe if the company has the right timing (or not). Are there any market shifts happening that might massively help the company grow and scale? )


Don't use abbreviations
---
COMPANY NAME: 
{input}
---
Internal documents:
{context} 
---

Economics

Prompt to extract unit economics, revenue, and traction data.

                Given the company name in the input, Extract the following data about company.

- Unit economics and Cost Break-down (What are the top cost drivers per unit of product once the product goes live and after it scales (e.g. 3-5 years later). What is the cost break-down for competitors?)
-  Revenue (in case the company is generating revenue, show here the key numbers to date and also show revenue projection of the company for the next 3-5 years.)
- Traction (Mention key notable traction based milestones achieved so far (pilot projects, partnership agreements, etc).)

Don't use abbreviations
---
COMPANY NAME: 
{input}
---
Internal documents:
{context} 
---

Climate

Prompt to extract the company's impact on climate.

                Given the company name in the input, Extract the following data about company.

-  Impact on Climate (Does the company have a direct impact on lowering greenhouse gas emissions? Describe a way how the impact is achieved)


Don't use abbreviations
---
COMPANY NAME: 
{input}
---
Internal documents:
{context} 
---

Scalability

Prompt to extract scalability, defensibility, and key risks.

                Given the company name in the input, Extract the following data about company.

- Scalability (Is the company scalable globally and how hard/easy do we expect it to be?)
- Defensibility (Is the business of the company defensible and why?)
- Key Risks (Describe key risks of the company.)

Don't use abbreviations
---
COMPANY NAME: 
{input}
---
Internal documents:
{context} 
---

Components used in this flow

Below is a complete list of all components used in this flow to achieve its functionality. Components are the building blocks of every AI Flow. They allow you to create complex interactions and automate tasks by connecting various functionalities. Each component serves a specific purpose, such as handling user input, processing data, or integrating with external services.

ChatInput

The Chat Input component in FlowHunt initiates user interactions by capturing messages from the Playground. It serves as the starting point for flows, enabling the workflow to process both text and file-based inputs.

See ChatInput

Message Widget

The Message Widget component displays custom messages within your workflow. Ideal for welcoming users, providing instructions, or showing any important information, it supports Markdown formatting and can be set to appear only once per session.

See Message Widget

Chat Output

Discover the Chat Output component in FlowHunt—finalize chatbot responses with flexible, multi-part outputs. Essential for seamless flow completion and creating advanced, interactive AI chatbots.

See Chat Output

Prompt Component in FlowHunt

Learn how FlowHunt's Prompt component lets you define your AI bot’s role and behavior, ensuring relevant, personalized responses. Customize prompts and templates for effective, context-aware chatbot flows.

See Prompt Component in FlowHunt

File Retriever

The File Retriever component in FlowHunt lets you bring files into your workflow and convert them into documents for further processing. It supports strategies for handling multiple documents and can use OCR on images within files, making it ideal for extracting and transforming information from a wide variety of file types.

See File Retriever

URL Retriever

Unlock web content in your workflows with the URL Retriever component. Effortlessly extract and process the text and metadata from any list of URLs—including web articles, documents, and more. Supports advanced options like OCR for images, selective metadata extraction, and customizable caching, making it ideal for building knowledge-rich AI flows and automations.

See URL Retriever

GoogleSearch Component

FlowHunt's GoogleSearch component enhances chatbot accuracy using Retrieval-Augmented Generation (RAG) to access up-to-date knowledge from Google. Control results with options like language, country, and query prefixes for precise and relevant outputs.

See GoogleSearch Component

LLM OpenAI

FlowHunt supports dozens of text generation models, including models by OpenAI. Here's how to use ChatGPT in your AI tools and chatbots.

See LLM OpenAI

LLM Gemini

FlowHunt supports dozens of AI models, including Google Gemini. Learn how to use Gemini in your AI tools and chatbots, switch between models, and control advanced settings like tokens and temperature.

See LLM Gemini

ArXiv Tool

Effortlessly chat with 2.4M scholarly articles using FlowHunt's ArXiv Tool and AI Agents. Revolutionize your research by matching queries with concise responses from the ArXiv database and enhance your chatbot with customizable flows.

See ArXiv Tool

AI Agent

The AI Agent component in FlowHunt empowers your workflows with autonomous decision-making and tool-using capabilities. It leverages large language models and connects to various tools to solve tasks, follow goals, and provide intelligent responses. Ideal for building advanced automations and interactive AI solutions.

See AI Agent

SelfManaged Task

The SelfManaged Task component enables users to define and execute autonomous tasks within a workflow. Specify a clear task description, expected outcome, and assign an agent to manage execution—ideal for building structured, hierarchical automation in your flows.

See SelfManaged Task

Self-Managed Crew

Unlock advanced collaboration in FlowHunt with the Self-Managed Crew component. Coordinate multiple AI agents under a manager agent to autonomously handle complex workflows and hierarchical tasks, maximizing efficiency and scalability.

See Self-Managed Crew

Create Data

The Create Data component enables you to dynamically generate structured data records with a customizable number of fields. Ideal for workflows that require the creation of new data objects on the fly, it supports flexible field configuration and seamless integration with other automation steps.

See Create Data

Parse Data

The Parse Data component transforms structured data into plain text using customizable templates. It enables flexible formatting and conversion of data inputs for further use in your workflow, helping to standardize or prepare information for downstream components.

See Parse Data

Create Google Sheet

Easily generate new Google Sheets directly within your workflow. The Create Google Sheet component lets you input structured data and instantly create spreadsheets, making it simple to automate data collection, reporting, or sharing results. Integrate with other components to streamline your business and productivity tasks.

See Create Google Sheet

Flow description

Purpose and benefits

Overview

The “AI Company Analysis Tool Exported to Google Sheets” is an advanced, modular workflow designed to generate a comprehensive, data-driven analysis of any company. It leverages multiple AI agents, prompt templates, data retrieval tools, and automated export capabilities to Google Sheets. This flow is ideal for investors, business strategists, analysts, and anyone requiring a deep dive into a company’s history, market position, products, team, challenges, opportunities, and future prospects—all systematically organized in a format that is easy to manage and share.

Key Steps in the Workflow

1. User Interaction and Input

Welcome Message: When the workflow starts, it greets the user and explains the process.
User Input: The user is prompted to enter the company name for analysis. Optionally, the user can upload internal documents to supplement the analysis.

2. Data Collection & Enrichment

Automated Web Search: The workflow uses Google Search and URL content retrieval to gather public information about the company, including team members, products, market data, and more.
File Analysis: Uploaded files (like pitch decks, annual reports, etc.) can be parsed to extract additional context.
AI Agents: Specialized AI agents act as professional investors and analysts, orchestrating the research, validating data, and synthesizing findings.

3. Structured AI-powered Analysis

The workflow is modular, with separate tasks (crews and sub-tasks) for each analytical section. Each section uses prompt engineering to ensure thorough and focused outputs.

These sections include:

Section	Key Analytical Focus
Company Overview	Brief summary, history, notable achievements (with sources/links)
Problem & Solution	Company’s core problem statement and their unique solution
Market Analysis	Target customer, market size, background, opportunities, competition (size, funding, leaders)
Team	Key team members, their roles, and background (via search and document analysis)
Products & Services	Main products/services, key features, alternatives, and competitive advantages (with links)
Investments	Funding raised, investors, fundraising details, upcoming rounds, investor summaries with links
Go To Market	Technology readiness, distribution strategies, business model, timing, and market shifts
Economics & Traction	Unit economics, cost breakdown, revenue numbers and projections, notable traction milestones
Climate Impact	Direct impact on climate/greenhouse gas emissions, mechanism of impact
Scalability, Risks, Defensibility	Global scalability, business defensibility, key risks

For each analytical area, the workflow uses a prompt template with dynamic variables and context injection (from files, web, etc.) to generate detailed, accurate, and referenced outputs.

4. Data Structuring and Export

Data Aggregation: All analytical outputs are mapped to a structured data object with clear fields for each section.
Parsing and Formatting: The data is parsed and formatted for clarity.
Google Sheets Export: An AI agent specialized in Google Sheets takes the structured analysis and creates a new Google Sheet file, populating it with all collected and generated data.

5. Output and User Notification

The user receives a confirmation message and a link to the newly created Google Sheet, ready for further editing, sharing, or tracking.

Why Is This Workflow Useful?

Automation & Scale

Automates repetitive and time-consuming research: Instead of manually collecting data from various sources, the workflow automates the process end-to-end.
Scales easily: Can be run on multiple companies in parallel, batch-processing large portfolios with consistent methodology and output structure.

Quality & Consistency

Reduces human error and bias: By using AI agents and structured prompts, the output is consistent and less prone to oversight.
Referencing and validation: Where possible, the tool includes links and sources, and the AI is instructed to validate the information found.

Flexibility & Collaboration

Accepts multiple input sources: Web, Google Search, and internal files.
Customizable prompts: Each section can be adapted to specific analytical needs.
Google Sheets integration: Makes sharing, versioning, and collaborative analysis straightforward.

Example Output Structure

Field	Description
The company	Company name, overview, history, achievements
Problem & Solution	Problem addressed and company’s solution
Market	Market size, focus, competitors, opportunities
Team	List of key team members with roles
Products and Services	Product/service description, alternatives, advantages
Investments	Funding details, investors, fundraising rounds
Go To Market	Strategy, business model, timing, technology readiness
Economics	Costs, revenue, projections, traction
Climate Impact	Environmental impact and explanation
Scalability, Risks, Defensibility	Assessment of scalability, risks, and defensibility

Summary

This workflow turns what is traditionally a manual, labor-intensive company analysis into a fully automated and scalable process. By combining AI research, structured prompt engineering, external and internal data sources, and automated export to Google Sheets, it empowers users to generate investment-grade company reports in minutes instead of days—making it a powerful tool for investors, analysts, and business operators alike.

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