Generate SEO meta tags and content briefs from SERP analysis with Claude AI
Needs changesWhat this workflow does
This AI workflow has 15 nodes and runs manually, when you click “Execute workflow”. Along the way it connects Google Sheets, Anthropic Chat Model and Firecrawl (community).
How it runs
Trigger: Manually, when you click “Execute workflow”.
- Read Client Info from Sheets (Google Sheets): uses Google Sheets
- Read SEO Info from Sheets (Google Sheets): uses Google Sheets
- Filter: keeps only the items that match a condition
- Loop Over SEO Items (Loop Over Items (Split in Batches)): loops over the items in batches
- Fetch SERP Results via Apify (HTTP Request): calls an HTTP API
- Split Organic Results (Split Out): splits a list into separate items
- Take Top 10 Results (Limit): keeps the first few items
- Scrape Page with Firecrawl (Firecrawl): uses Firecrawl
- Collect Firecrawl Items (Code): runs custom JavaScript code
- Generate Meta Tags and H1 Agent (AI Agent): runs an AI agent, with model: Claude Sonnet Model; output parser: Parse Structured JSON Output
…plus 2 more steps. See the full node list below.
Services it uses
Uses Firecrawl. New users get 10% off with our link.
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in Generate Meta Tags and H1 Agent (v1.9), Generate Content Brief Agent (v1.9): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) Generate Meta Tags and H1 Agent (v1.9), Generate Content Brief Agent (v1.9) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (12)
- Filter
n8n-nodes-base.filter - Google Sheets
n8n-nodes-base.googleSheets - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - AI Agent
@n8n/n8n-nodes-langchain.agent - Manual Trigger
n8n-nodes-base.manualTrigger - Firecrawl
@mendable/n8n-nodes-firecrawl.firecrawl - Split Out
n8n-nodes-base.splitOut - Limit
n8n-nodes-base.limit - Code
n8n-nodes-base.code - HTTP Request
n8n-nodes-base.httpRequest - Anthropic Chat Model
@n8n/n8n-nodes-langchain.lmChatAnthropic - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured
From the author
Who it's for This workflow is for SEO managers, content strategists, and digital agencies who need to produce optimised meta tags, H1s, and full content briefs at scale — one per keyword — without doing manual competitor research. How it works 1. The workflow…