Track AI search rankings from Perplexity via BrowserAct to Google Sheets and Slack

Open on n8n.io

$20/month : Unlimited workflows

2500 executions/month

Try free

THE #1 IN WEB SCRAPING

Scrape any website without limits

Try free

HOSTINGER

Early Deal
DISCOUNT 20%

Self-hosted n8n

Unlimited workflows - from $4.99/mo

Try free

#1 hub for scraping, AI & automation

6000+ actors - $5 credits/mo

Try free

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Track AI search rankings from Perplexity to Google Sheets and Slack This workflow automates Generative Engine Optimization (GEO) tracking by monitoring how your company appears in AI search results...

Best for

Market Research automation workflows
AI Summarization automation workflows
advanced n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.lmchatopenrouter, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.splitinbatches, n8n-nodes-base.googlesheets, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.set, n8n-nodes-base.stickynote, n8n-nodes-base.slack

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Madame AI Team | Kai.

Original n8n.io source

1.1 Workflow description

Title: Track AI search rankings from Perplexity via BrowserAct to Google Sheets and Slack
Workflow name: Track AI search rankings from Perplexity via BrowserAct to Google Sheets and Slack

Track AI search rankings from Perplexity to Google Sheets and Slack

This workflow automates Generative Engine Optimization (GEO) tracking by monitoring how your company appears in AI search results. It generates strategic queries, simulates searches on AI engines like Perplexity via BrowserAct, logs the responses for historical tracking, and delivers a graded performance report to Slack.

Target Audience

SEO specialists, brand managers, marketing directors, and growth teams focusing on AI visibility and reputation management.

How it works

Initialize Tracking: The workflow runs on a schedule, creates a new dated tab in your Google Sheet, and fetches your company details (Name and Category).
Generate Strategy: An AI Agent (using OpenRouter/Gemini) generates three specific search queries:
- Discovery: Broad category search (e.g., "Best CRM for startups").
- Comparison: Direct competitor face-off (e.g., "Pipedrive vs Salesforce").
- Validation: Specific fact-checking (e.g., "Is Pipedrive good for visual pipelines?").
Simulate Searches: BrowserAct executes these queries on an AI answer engine (like Perplexity) to capture the real-time AI response.
Log Data: The workflow loops through the results and saves the raw AI answers to the daily Google Sheet.
Analyze & Report: A second AI Agent reviews the saved data, grades the visibility (Green/Yellow/Red), and sends a summarized "GEO Scorecard" to Slack.

How to set up

Configure Credentials: Connect your Google Sheets, Slack, BrowserAct, and OpenRouter accounts in n8n.
Prepare BrowserAct: Ensure the GEO Results & Rank Tracking template is saved in your BrowserAct account.
Setup Google Sheet: Create a Google Sheet with a tab named Main Sheet. Add headers: Company name and Worknig category. Fill in row 2 with your details.
Select Spreadsheet: Open the Create sheet, add headers, Get Company data, Retrieve Stored Data, and Store Extracted Data nodes to select your specific spreadsheet.
Configure Notification: Open the Send Message to Team on Slack node and select your target Slack channel.

Google Sheet Headers

Tab 1: Main Sheet (Input)

Company name
Working Category

Tab 2+: [Date] (Generated automatically by the workflow)

Search
Result

Requirements

BrowserAct account with the GEO Results & Rank Tracking template.
Google Sheets account.
Slack account.
OpenRouter account (or compatible LLM credentials).

How to customize the workflow

Change the AI Engine: Modify the BrowserAct template to search on ChatGPT or Google Gemini instead of Perplexity.
Adjust Grading Logic: Update the system prompt in the Company data analyzer node to change how the AI scores the results (e.g., focus more on sentiment than ranking).
Expand Reporting: Add an Email node to send a weekly summary of the Google Sheet data to stakeholders.

Need Help?

Workflow Guidance and Showcase Video

Master GEO: Track Your AI Search Rankings with n8n & Perplexity 🌍

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - OpenRouter

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenRouter - lmChatOpenRouter
Config choices: Version 1

Block 2 - Structured Output

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.3

Block 3 - Loop Over Items

Type / Role: n8n-nodes-base.splitInBatches - splitInBatches
Config choices: Version 3

Block 4 - Create sheet

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.7

Block 5 - add headers

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.7

Block 6 - OpenRouter1

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenRouter - lmChatOpenRouter
Config choices: Version 1

Block 7 - Get Company data

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.7

Block 8 - Company data analyzer

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3

Block 9 - Define Headers

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 10 - Documentation

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 11 - Step 1 Explanation

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 12 - Step 2 Explanation

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 13 - Step 3 Explanation

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 14 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 15 - Store Extracted Data

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.7

Block 16 - Retrieve Stored Data

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.7

Block 17 - Send Message to Team on Slack

Type / Role: n8n-nodes-base.slack - slack
Config choices: Version 2.4

Block 18 - Run GEO Results & Rank Tracking workflow

Type / Role: n8n-nodes-browseract.browserAct - browserAct
Config choices: Version 1

Block 19 - Split AI-Generated Questions

Type / Role: n8n-nodes-base.splitOut - splitOut
Config choices: Version 1

Block 20 - Scheduled Daily

Type / Role: n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices: Version 1.3

Block 21 - Generate Search Queries

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3

Block 22 - Aggregate Google Sheet Rows

Type / Role: n8n-nodes-base.aggregate - aggregate
Config choices: Version 1

3. Summary Table

Workflow	Track AI search rankings from Perplexity via BrowserAct to Google Sheets and Slack
Complexity	advanced
Nodes	22
Categories	Market Research, AI Summarization
Author	Madame AI Team \| Kai
Published	01 Jan 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/12351/12351.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Market Research workflows AI Summarization workflows

Frequently asked questions

What does Track AI search rankings from Perplexity via BrowserAct to Google Sheets and Slack do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Market Research, AI Summarization use case.

Madame AI Team | Kai

50 workflows

Nodes

@n8n/n8n-nodes-langchain.lmchatopenrouter @n8n/n8n-nodes-langchain.outputparserstructured n8n-nodes-base.splitinbatches n8n-nodes-base.googlesheets @n8n/n8n-nodes-langchain.agent n8n-nodes-base.set n8n-nodes-base.stickynote n8n-nodes-base.slack

Complexity

advanced

Published 01 Jan 2026

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/12351/12351.json

Share Your Workflow

Have a useful automation to share? Publish it and help the community.

Submit Your Template How to Submit

Related Workflows

Answer BigQuery questions in Microsoft Teams with Claude 3.5 dual agents

## Quick overview Turn Microsoft Teams into a natural language BI tool. This dual-agent Claude workflow intelligently classifies user questions, generates safe BigQuery SQL, executes the query, and returns a plain-English summary alongside a data preview directly to your Teams channel. ## How it works 1. The workflow listens for new messages in a designated Microsoft Teams channel or chat. 2. It checks a 24-hour static data cache for your BigQuery schema. If the cache is missing or expired, it automatically fetches the latest INFORMATION_SCHEMA metadata. 3. A main Claude 3.5 Sonnet agent classifies the user's intent (analytical, conversational, or unsafe) and identifies the relevant database tables. 4. If the intent is analytical, a specialized Claude SQL sub-agent generates a read-only SELECT query tailored exactly to your schema. 5. The workflow executes the query against BigQuery (safely constrained to a maximum of 100 rows). 6. A final Claude agent translates the raw query results into a concise, plain-English summary. 7. The answer is posted back to Teams as an Adaptive Card, complete with a formatted data preview and the generated SQL code. 8. Non-analytical questions or pipeline errors are intelligently routed to receive standard conversational replies in Teams. ## Setup 1. CRITICAL SECURITY: Restrict your Google Cloud Service Account IAM roles to BigQuery Data Viewer and BigQuery Job User ONLY. Do not use a highly privileged account. 2. Configure your Microsoft Teams trigger and posting credentials, specifying the target team and channel for the bot to operate in. 3. Configure your Google BigQuery credentials to allow reading metadata and executing queries. 4. Configure your Anthropic credentials for the three Claude LangChain nodes. 5. Update the "Configure Variables" node with your specific GCP Project ID and BigQuery Dataset ID. ## Requirements - A Google Cloud project with BigQuery enabled and existing structured datasets. - An Anthropic API key with access to the Claude 3.5 Sonnet model. - Microsoft Teams administrator access to authorize the n8n integration. ## Customization - Distributed Environments: If you are running n8n with multiple worker nodes (Queue Mode), you must swap the $getWorkflowStaticData() schema cache logic to read/write from a dedicated Key-Value store (like Redis or Supabase) to ensure state synchronization. - UI Layout: Modify the Create Teams Adaptive Card node to add corporate branding, custom colors, or alter the FactSet data preview structure. ## Additional info This architecture features built-in pipeline protections, including strict 40,000-character payload limits to prevent LLM context window blowouts, and fallback handling for "zero-row" query results to ensure users are never left without a response.

View

Evaluate LinkedIn profiles with Apify and Groq Llama chat model

## Quick overview This workflow collects a LinkedIn profile URL via an n8n form, scrapes the public profile data using the Apify LinkedIn Profile Scraper actor, analyzes the results with a Groq-hosted Llama model, and displays an HTML-formatted evaluation back to the user. ## How it works 1. Receives a LinkedIn Profile URL when a user submits the n8n form. 2. Prepares the LinkedIn URL along with the Apify API token and Groq API key used for downstream requests. 3. Sends the profile URL to the Apify `harvestapi/linkedin-profile-scraper` actor and retrieves the scraped dataset items. 4. Passes the scraped profile JSON to a Groq chat model via an LLM chain to generate an HTML evaluation with a score and recommendations. 5. Displays the generated HTML evaluation to the user as the form completion message. ## Setup 1. Add a valid Apify API token and ensure the Apify actor endpoint (`harvestapi/linkedin-profile-scraper`) is accessible for your account. 2. Add Groq API credentials in n8n and confirm the selected model (meta-llama/llama-4-scout-17b-16e-instruct) is available to your Groq account. 3. Replace the placeholder API key values in the workflow (or move them to n8n credentials/environment variables) and verify the form field label matches `LinkedIn Profile URL`.

View

Validate startup ideas with Google Gemini, Groq, and Gmail

## Quick overview This workflow collects a startup idea via an n8n form, uses Google Gemini to generate a SWOT-style analysis, assigns a viability score, uses Groq to turn the results into a structured validation report, and emails the final report through Gmail. ## How it works 1. Receives a startup idea, industry, and target audience from an n8n Form trigger. 2. Sends the submission to Google Gemini to generate a professional analysis covering the problem, business model, and SWOT factors. 3. Generates a startup viability score (currently a random value from 80–100) and packages it with the Gemini analysis. 4. Sends the score and analysis to Groq (Llama 3.3 70B) to compile a full validation report with an executive summary, market potential, recommendations, and final verdict. 5. Emails the generated validation report to the configured recipient using Gmail. ## Setup 1. Add credentials for Google Gemini (PaLM) API, Groq API, and a Gmail OAuth2 connection. 2. Replace the placeholder recipient address in the Gmail step ("[email protected]") with your target email address before activating the workflow. 3. Publish the n8n form, then share the form URL with the users who should submit their startup ideas for validation.

View

Need Custom Automation?

Get help designing a custom n8n workflow that connects your stack and fits your process.

Track AI search rankings from Perplexity via BrowserAct to Google Sheets and Slack

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Track AI search rankings from Perplexity to Google Sheets and Slack

Target Audience

How it works

How to set up

Google Sheet Headers

Requirements

How to customize the workflow

Need Help?

Workflow Guidance and Showcase Video

Master GEO: Track Your AI Search Rankings with n8n & Perplexity 🌍

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - OpenRouter

Block 2 - Structured Output

Block 3 - Loop Over Items

Block 4 - Create sheet

Block 5 - add headers

Block 6 - OpenRouter1

Block 7 - Get Company data

Block 8 - Company data analyzer

Block 9 - Define Headers

Block 10 - Documentation

Block 11 - Step 1 Explanation

Block 12 - Step 2 Explanation

Block 13 - Step 3 Explanation

Block 14 - Sticky Note

Block 15 - Store Extracted Data

Block 16 - Retrieve Stored Data

Block 17 - Send Message to Team on Slack

Block 18 - Run GEO Results & Rank Tracking workflow

Block 19 - Split AI-Generated Questions

Block 20 - Scheduled Daily

Block 21 - Generate Search Queries

Block 22 - Aggregate Google Sheet Rows

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions