Boost Brand Visibility: AI Tracking in Google Sheets

Track your brand's visibility across AI assistants with this comprehensive n8n workflow that automatically tests GPT, Gemini, and Perplexity responses, then organizes results in Google Sheets for data-driven brand monitoring and competitive analysis.

What this workflow does

This automation systematically measures how often your target brand appears in AI assistant responses across multiple platforms. The workflow loads active prompts from your Google Sheets, sends identical queries to GPT, Gemini, and Perplexity simultaneously, then evaluates each response against your brand visibility criteria. All structured results are automatically saved back to Google Sheets, enabling direct comparison between AI providers and tracking brand mention patterns over time.

The process begins by reading prompts from your Prompts sheet, filtering for active status entries. It then loads your custom evaluation criteria from the Criteria sheet, combining rules like "Brand Mention" checks into unified evaluation instructions. Each prompt gets sent to all three AI models, with responses merged back with original prompt metadata including target brand and model source information.

Use cases

• SaaS competitive monitoring: Track how often your project management tool like Notion appears in startup recommendation queries across AI platforms
• Brand awareness measurement: Monitor brand mention frequency when users ask AI assistants about your industry or product category
• AI SEO optimization: Identify which prompts and contexts generate better brand visibility across different AI models
• Competitive intelligence: Compare your brand's AI visibility against competitors using standardized evaluation criteria

Technical details

Built with essential n8n nodes including Set, Merge, and Aggregate for data processing, HTTP Request nodes for API communications with GPT, Gemini, and Perplexity, plus Google Sheets integration for prompt management and results storage. The workflow uses Sticky Note documentation and structured data flows to maintain clear evaluation processes across multiple AI assistant integrations.