Daily LLM Brand Visibility n8n Workflow: Gemini, Groq & Sheets

Daily brand visibility monitoring for your LLM mentions—automated in n8n

This Daily LLM Brand Visibility n8n workflow runs every morning at 7AM to generate buyer-style prompts, query Gemini and Groq/OpenRouter answers, verify with a search-grounded Gemini agent (via Tavily), then scores whether your brand is mentioned and logs the results to Google Sheets—with a daily digest posted to Slack.

What this workflow does

• Scheduled run: Executes daily at 7AM via an n8n schedule.
• Build a prompt bank: Loads your brand and competitor details, then uses Google Gemini to generate a JSON prompt bank for the day.
• Process prompts one-by-one: Splits the bank into individual prompts and iterates through each prompt.
• Cross-model answering: For each prompt, queries:
  • Groq (Llama 3.3)
  • OpenRouter (free model)
  • Gemini agent grounded with web search using Tavily (with citations)
• Evaluate brand visibility: Sends the three answers to Google Gemini to score brand recognition/mentions, sentiment, and competitor lists—weighting the search-grounded answer in the overall visibility score.
• Log and report: Appends scored results to Google Sheets, aggregates daily averages, and posts a summary to Slack.

Use cases

• Track how often prospects “discover” your brand in LLM-generated buyer prompts.
• Monitor competitor mention trends across Gemini, Groq, and OpenRouter, using search grounding for credibility.
• Get a daily LLM brand visibility digest for SaaS marketing and product teams.

Technical details

• Integrations/Credentials: Google Gemini (Generative Language API / Google PaLM API), Groq, OpenRouter, Tavily, Google Sheets (Service Account), and Slack.
• Config inputs: Brand & competitor details (brand name, domain, industry, competitors, target market), prompt count, and alert threshold.
• n8n nodes used: set, code, limit, slack, split out, aggregate.