Templates / Landing page conversion optimizer with Gemini 2.5-pro & Telegram

Landing page conversion optimizer with Gemini 2.5-pro & Telegram

Needs changes

by Mert Dalkır · 865 views · created 2025-08-04 · Market Research, AI Summarization

Needs changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.

What this workflow does

This AI workflow has 12 nodes and runs when someone submits an n8n form (“Conversion Rate Optimizer”) (plus 1 other trigger). Along the way it connects Google Gemini Chat Model and Telegram.

How it runs

Trigger: When someone submits an n8n form (“Conversion Rate Optimizer”) (plus 1 other trigger).

  1. Code: runs custom JavaScript code
  2. Code: runs custom JavaScript code
  3. Scrape Website (HTTP Request): calls an HTTP API
  4. Scrape Website (HTTP Request): calls an HTTP API
  5. AI Agent: runs an AI agent, with model: Google Gemini Chat Model
  6. AI Agent: runs an AI agent, with model: Google Gemini Chat Model
  7. Send a text message (Telegram): uses Telegram
  8. Send a text message (Telegram): uses Telegram

Services it uses

Google Gemini Chat ModelTelegram

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 AI Agent (v1.7), AI Agent1 (v1.7): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Removed in 3.0Replace with
AI Agent v1 (old agent modes)
AI Agent (v1.7), AI Agent1 (v1.7)
Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.

Nodes used (7)

From the author

🛠️ Landing-Page Roast & CRO Ideas Bot – Quick Guide What this workflow does Takes any public landing-page URL. Scrapes the page content. Uses Gemini 2.5-pro to • Roast the page (friendly but brutally honest) • Give 10 high-impact, 2024-ready CRO ideas – all…

Excerpt from Mert Dalkır's description on n8n.io.

View the original on n8n.io → Check your own copy

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