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Track competitor ad messaging shifts with Adyntel, OpenAI and Google Sheets

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Track competitor ad messaging shifts with Adyntel, OpenAI and Google Sheets preview
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1. Workflow Overview

Quick Overview This scheduled workflow reads competitor domains from Google Sheets, pulls their current ads from Meta, Google, and LinkedIn via Adyntel, compares this week’s messaging to last week’...

Best for

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

Tools used

n8n-nodes-base.scheduletrigger, n8n-nodes-base.googlesheets, n8n-nodes-base.splitinbatches, n8n-nodes-adyntel.adyntel, n8n-nodes-base.merge, n8n-nodes-base.code, n8n-nodes-base.if, @n8n/n8n-nodes-langchain.agent

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Zain Khan.

Original n8n.io source

1.1 Workflow description

Title
Track competitor ad messaging shifts with Adyntel, OpenAI and Google Sheets
Workflow name
Track competitor ad messaging shifts with Adyntel, OpenAI and Google Sheets

Quick Overview

This scheduled workflow reads competitor domains from Google Sheets, pulls their current ads from Meta, Google, and LinkedIn via Adyntel, compares this week’s messaging to last week’s snapshot with OpenAI, stores results back in Google Sheets, and sends Slack alerts for high-urgency shifts.

How it works

  1. Runs on a schedule and reads competitors marked as Pending from a Google Sheets spreadsheet.
  2. For each competitor domain, fetches active ads from Meta (Facebook Ads), Google Ads, and LinkedIn Ads using Adyntel and combines the results.
  3. Extracts and deduplicates ad titles and body copy, then aggregates this week’s ads into a single text context per competitor.
  4. Loads last week’s ad-copy snapshot for the same domain from Google Sheets and computes new and dropped ad titles.
  5. If no ads are found this week, writes a “gone dark” delta entry to the messaging_deltas sheet in Google Sheets.
  6. Otherwise, sends the week-over-week context to OpenAI to generate a structured messaging-delta analysis, parses the response, and appends the delta to the messaging_deltas sheet.
  7. Appends this week’s ads to the ad_copy_snapshots sheet, updates the competitor row status to Done in Google Sheets, and posts a Slack alert when the urgency is High.

Setup

  1. Connect Google Sheets OAuth2 credentials and update the spreadsheet/document ID and sheet tabs for competitors, ad_copy_snapshots, and messaging_deltas if you use different locations.
  2. Add your Adyntel API credentials and confirm it has access to Meta, Google, and LinkedIn ad data for the domains you track.
  3. Add an OpenAI credential (chat model) for the messaging-delta analysis agent.
  4. Create and maintain a competitors sheet with at least domain, competitor_name, and status columns (set status to Pending to be processed).
  5. Configure a Slack credential and target channel in the Slack posting step (or replace the alert step if you don’t want notifications).
  6. Adjust the schedule interval to your desired cadence (weekly is implied by the week-over-week comparison logic).

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 - Schedule Trigger

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

Block 2 - Read Competitors

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

Block 3 - Loop Over Competitors

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

Block 4 - Search Facebook Ads

Type / Role
n8n-nodes-adyntel.adyntel - adyntel
Config choices
Version 1

Block 5 - Search Google Ads

Type / Role
n8n-nodes-adyntel.adyntel - adyntel
Config choices
Version 1

Block 6 - Search LinkedIn Ads

Type / Role
n8n-nodes-adyntel.adyntel - adyntel
Config choices
Version 1

Block 7 - Merge All Platform Results

Type / Role
n8n-nodes-base.merge - merge
Config choices
Version 3.2

Block 8 - Extract This Week's Copy

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 9 - Aggregate This Week's Copy

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 10 - Read Last Week Snapshots

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

Block 11 - Build Comparison Context

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 12 - Has Ads This Week?

Type / Role
n8n-nodes-base.if - if
Config choices
Version 2.3

Block 13 - AI Agent — Detect Messaging Delta

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3.1

Block 14 - OpenAI Chat Model

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

Block 15 - Parse Delta Result

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 16 - Append No-Ads Delta1

Type / Role
n8n-nodes-base.googleSheets - googleSheets
Config choices
Version 4.4

Block 17 - Prepare Snapshot Rows

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 18 - Append to Snapshots

Type / Role
n8n-nodes-base.googleSheets - googleSheets
Config choices
Version 4.4

Block 19 - Urgency = High?

Type / Role
n8n-nodes-base.if - if
Config choices
Version 2.3

Block 20 - Format Slack Alert

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 21 - Build No-Ads Delta Row

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 22 - Append No-Ads Delta

Type / Role
n8n-nodes-base.googleSheets - googleSheets
Config choices
Version 4.4

Block 23 - Update competitor status

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

Block 24 - Sticky Note

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

Showing the first 24 of 28 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow Track competitor ad messaging shifts with Adyntel, OpenAI and Google Sheets
Complexity advanced
Nodes 28
Categories Market Research, AI Summarization
Author Zain Khan
Published 11 Jun 2026

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/16288/16288.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

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

  4. 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. 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.

Frequently asked questions

What does Track competitor ad messaging shifts with Adyntel, OpenAI and Google Sheets do?

Quick Overview This scheduled workflow reads competitor domains from Google Sheets, pulls their current ads from Meta, Google, and LinkedIn via Adyntel, compares this week’s messaging to last week’...

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.