# Create AI news LinkedIn posts from Google Trends with Tavily: n8n workflow

> Started by a clock, and works across LinkedIn. It puts Gemini and OpenAI behind a retrieval step, so answers are drawn from documents you supply rather than...

Source: https://millionrounds.com/workflow/create-ai-news-linkedin-posts-from-google-trends-with-tavily (Millionrounds; every figure on the page links to its filing or article)

[Automation library](https://millionrounds.com/workflows) · [Content](https://millionrounds.com/workflows?category=Content#library)

# Create AI news LinkedIn posts from Google Trends with Tavily

Started by a clock, and works across LinkedIn. It puts Gemini and OpenAI behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 23 steps, 1 branch: large, and worth reading before you trust it with anything live.

Large Calls a model: Gemini, OpenAI Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fcreate-ai-news-linkedin-posts-from-google-trends-with-tavily)

**23 steps** Large: read it before trusting it with anything live

**1** Branch: places the flow splits

**0** Loops or waits

**1** Service it connects to

## The flow

Starts it 1 Model 7 Logic 8 Service 7

The steps in the order they run, from what starts it.

- 1 **Schedule Trigger** Schedule trigger *Starts it*
- 2 **OpenAI** Lm Chat Open Ai *Model*
- 3 **Memory** Memory Buffer Window *Model*
- 4 **Output Parser** Output Parser Structured *Model*
- 5 **Structured Output Parser** Output Parser Structured *Model*
- 6 **Google Gemini Chat Model** Lm Chat Google Gemini *Model*
- 7 **Google_trends_trending_now search** Serp Api *Service*
- 8 **AI Agent** Agent *Model*
- 9 **Basic LLM Chain** Chain Llm *Model*
- 10 **Code in JavaScript** Code *Logic*
- 11 **HTTP Request1** Http Request *Service*
- 12 **If** If *Logic*
- 13 **Aggregate** Aggregate *Logic*
- 14 **HTTP Request2** Http Request *Service*
- 15 **HTTP Request** Http Request *Service*
- 16 **Google search** Serp Api *Service*
- 17 **LinkedIn1** Linked In *Service*
- 18 **Code in JavaScript1** Code *Logic*
- 19 **Code in JavaScript2** Code *Logic*
- 20 **Aggregate1** Aggregate *Logic*
- 21 **Aggregate2** Aggregate *Logic*
- 22 **HTTP Request3** Http Request *Service*
- 23 **Code in JavaScript3** Code *Logic*

## How it's built

- **Starts on:** A clock
- **Steps:** 23, with 1 branch
- **Size:** Large: read it before trusting it with anything live
- **Connects to:** LinkedIn
- **Model:** Gemini, OpenAI
- **Retrieval:** Answers are drawn from documents you supply, not from the model alone

## Questions

What does it need to run?

An n8n account, plus your own LinkedIn account, and a key for Gemini and OpenAI. You connect your own accounts after importing it; none are included.

What starts it?

It starts on a clock.

Does it use AI?

Yes. It calls Gemini and OpenAI. Its answers draw on documents you give it, not on the model alone. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Take your time. At 23 steps it is large: read it before trusting it with anything live.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

**Before you run it**

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 23 steps before you point it at anything that matters.

## Run it in n8n

- **Create your n8n account** Free to start. n8n is where the workflow runs. [Create an n8n account ↗](https://millionrounds.com/n8n)
- **Download the workflow** Free with a Millionrounds account. [Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fcreate-ai-news-linkedin-posts-from-google-trends-with-tavily)
- **Paste it into n8n** Open a new workflow in n8n and paste. Then connect your own accounts.

Stored with the author's traces removed: canvas notes, instance identifiers, saved credential names and any live document they had left behind.

## Connects to

Each opens the other workflows that use it.

[LinkedIn](https://millionrounds.com/workflows?service=LinkedIn#library)

## Workflows like it

Also content, with the same services where possible, closest in size first.

- [**Automate LinkedIn posts with Google Sheets** 23 steps · calls a model · Google Drive, Google Sheets](https://millionrounds.com/workflow/automate-linkedin-posts-with-google-sheets)
- [**Automate blog & LinkedIn content creation with OpenAI** 23 steps · calls a model · Gmail, LinkedIn](https://millionrounds.com/workflow/automate-blog-and-linkedin-content-creation-with-openai)
- [**Publish RSS articles to WordPress and social media platforms** 23 steps · calls a model · Discord, Gmail](https://millionrounds.com/workflow/publish-rss-articles-to-wordpress-and-social-media-platforms)
- [**Auto-Generate & Approve Social Media Posts from RSS Feeds** 22 steps · calls a model · LinkedIn, NocoDB](https://millionrounds.com/workflow/auto-generate-and-approve-social-media-posts-from-rss-feeds)
- [**Automate blog-to-social media with OpenAI and Reddit** 24 steps · calls a model · LinkedIn, Postgres](https://millionrounds.com/workflow/automate-blog-to-social-media-with-openai-and-reddit)
- [**Automated LinkedIn post generator with Gemini** 24 steps · calls a model · Google Drive, Google Sheets](https://millionrounds.com/workflow/automated-linkedin-post-generator-with-gemini)