# Generate SEO-optimized blog content with Gemini and Scrapeless: n8n workflow

> Started by someone opening a chat with it, and works across Pinecone. It puts Gemini behind a retrieval step, so answers are drawn from documents you supply...

Source: https://millionrounds.com/workflow/generate-seo-optimized-blog-content-with-gemini-and-scrapele (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)

# Generate SEO-optimized blog content with Gemini and Scrapeless

Started by someone opening a chat with it, and works across Pinecone. It puts Gemini behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 24 steps, 1 loop or waits: large, and worth reading before you trust it with anything live.

Large Calls a model: Gemini Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fgenerate-seo-optimized-blog-content-with-gemini-and-scrapele)

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

**0** Branches: places the flow splits

**1** Loop or waits

**1** Service it connects to

## The flow

Starts it 2 Model 11 Logic 7 Service 4

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

- 1 **When clicking ‘Execute workflow’** Manual trigger *Starts it*
- 2 **Recursive Character Text Splitter** Text Splitter Recursive Character Text Splitter *Model*
- 3 **When chat message received** Chat trigger *Starts it*
- 4 **Window Buffer Memory** Memory Buffer Window *Model*
- 5 **Embeddings Google Gemini3** Embeddings Google Gemini *Model*
- 6 **Google Gemini Chat Model3** Lm Chat Google Gemini *Model*
- 7 **Google Gemini Chat Model1** Lm Chat Google Gemini *Model*
- 8 **Embeddings Google Gemini** Embeddings Google Gemini *Model*
- 9 **Crawl all Blogs** Scrapeless *Service*
- 10 **Edit Fields1** Set *Logic*
- 11 **Default Data Loader** Document Default Data Loader *Model*
- 12 **Pinecone Vector Store3** Vector Store Pinecone *Model*
- 13 **AI Agent1** Agent *Model*
- 14 **Basic LLM Chain1** Chain Llm *Model*
- 15 **Pinecone Vector Store** Vector Store Pinecone *Model*
- 16 **Parse content and extract information** Code *Logic*
- 17 **Analyze target keywords on Google SERP** Scrapeless *Service*
- 18 **Markdown** Markdown *Logic*
- 19 **Split Out the url and text** Split Out *Logic*
- 20 **HTML** Html *Logic*
- 21 **Loop Over Items** Split In Batches *Logic*
- 22 **Aggregate** Aggregate *Logic*
- 23 **Scrape detailed contents** Scrapeless *Service*
- 24 **Convert to File** Convert To File *Service*

## How it's built

- **Starts on:** Someone opening a chat with it
- **Steps:** 24, 1 loop or waits
- **Size:** Large: read it before trusting it with anything live
- **Connects to:** Pinecone
- **Model:** Gemini
- **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 Pinecone account, and a key for Gemini. You connect your own accounts after importing it; none are included.

What starts it?

It starts on someone opening a chat with it.

Does it use AI?

Yes. It calls Gemini. 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 24 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 24 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%2Fgenerate-seo-optimized-blog-content-with-gemini-and-scrapele)
- **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.

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

## Workflows like it

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

- [**Generate riddle shorts & post on YouTube with Pinecone** 27 steps · calls a model · Gmail, Google Sheets](https://millionrounds.com/workflow/generate-riddle-shorts-and-post-on-youtube-with-pinecone)
- [**Ingest LinkedIn posts from Google Drive into Pinecone** 21 steps · calls a model · Google Drive, Pinecone](https://millionrounds.com/workflow/ingest-linkedin-posts-from-google-drive-into-pinecone)
- [**AI News to LinkedIn: Daily Content Engine with Slack Approval** 19 steps · calls a model · Google Sheets, LinkedIn](https://millionrounds.com/workflow/ai-news-to-linkedin-daily-content-engine-with-slack-approval)
- [**Website content chatbot with Pinecone and Airtable** 19 steps · calls a model · Airtable, Pinecone](https://millionrounds.com/workflow/website-content-chatbot-with-pinecone-and-airtable)
- [**Audio transcription & chat bot with AssemblyAI and Gemini** 18 steps · calls a model · Google Sheets, Pinecone](https://millionrounds.com/workflow/audio-transcription-and-chat-bot-with-assemblyai-and-gemini)
- [**Fetch all page content from website and store with Gemini** 15 steps · calls a model · Pinecone](https://millionrounds.com/workflow/fetch-all-page-content-from-website-and-store-with-gemini)