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I asked five different AI models the same question: what are the best tools for monitoring search results? Every single one gave me a different answer. Millions of people are getting these answers every single day. And the answers that they get are shaping real purchasing decisions without a single click to a website.

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GitHub Repo: https://github.com/techwithtim/AIBrandSearch

⏳ Timestamps ⏳
00:00 | AI Search 
00:53 | Traditional Search vs AI Search 
02:18 | Project Demo & Data Layer
07:01 | Architecture Breakdown
12:16 | Running in Bulk (Geo-Location)

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#AIAgents #AIModels #AIEngineering

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TechWithTim, founded by Tim Ruscica, is a popular YouTube channel and blog offering tutorials, guides, and projects on programming, game development, and machine learning. With a friendly and approachable teaching style, Tim covers a wide range of topics, including Python programming, game development with Pygame, and machine learning algorithms with TensorFlow and Keras. Developers of all skill levels can benefit from TechWithTim's engaging content and hands-on coding projects, making it an in resource for learning and honing technical skills.

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Querying five different AI models (ChatGPT, Perplexity, Gemini, Grok, Copilot) with the same question yields different brand recommendations, creating a blind spot for marketers who only track Google rankings. A tool is demonstrated that uses Bright Data's SERP API to simulate real browser sessions across multiple LLMs and geolocations, extract brand mentions, and compare AI search results against traditional Google results. The architecture uses Python with Streamlit, async parallel requests, and OpenAI for comparative analysis. The tool supports bulk prompt runs and scheduled monitoring, enabling brands to track their AI visibility at scale.

What Happens When You Ask 5 AIs the Same Question? (The Results Are Wild)