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The Perfect AI Competitive Analysis Workflow For Marketers (Claude, Codex, NotebookLM, Panoramata)

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Автор: Mehdi Boufous

Загружено: 2026-05-07

Просмотров: 315

Описание: Free competitor toolkit: scorecard, swipe file, and monthly breakdown ▶️ https://www.panoramata.co/free

Most teams use AI before they have the data; this video shows a better way. I'll show you the three-tool workflow I've set up for competitor analysis in 2026, emphasizing data processing before AI.
We'll explore how to build a data pipeline from scratch using Claude, Codex, Gemini, NotebookLM and Panoramata.

🔗 Try Panoramata free: https://www.panoramata.co
Panoramata is the best way to track your competitors.

Finally monitor automatically your competitors' digital marketing strategy and access unlimited inspiration. Go beyond their social networks to track your competitors: newsletters, flows, ads, landing pages, SMS, tech stack and much more. Save more than 20 hours/mo.

Most teams approach AI competitive analysis in the wrong order by relying on AI before gathering the right data. Without proper data inputs, AI models like Gemini, ChatGPT, Codex, or Claude will simply hallucinate your strategy. To solve this, ground AI in reality by using actual competitor campaigns, landing pages, and emails.

The framework is built on three main components:
Panoramata: Acts as the primary source of truth, handling real-time data collection and spotting patterns. It automatically tracks competitors' emails, ads, SMS, landing pages, and social posts.
Codex and Claude: Serve as the "operators" that take the exported data from Panoramata to build an automated, weekly tracking system. You can prompt these tools to log pricing moves, new creatives, and promotional cadences.
NotebookLM: Provides the easiest way to get started by allowing you to input a data file and directly ask questions about the dataset.

Competitive analysis is about tracking intentional, repeating patterns and campaign sequences, not just gathering random screenshots. Finally, it warns against common mistakes, such as asking an AI to hunt for market data from scratch or failing to provide the actual marketing assets (like real copy and subject lines) to the AI.

TIMESTAMPS

00:00 Intro: Why Data Must Precede AI
01:39 The Three-Tool Framework
02:34 Track Real Data with Panoramata
05:00 Exporting Grounded Data
08:10 Analyze Codex & Claude
11:52 The Real Goal of Competitive Tracking
13:35 NotebookLM
14:13 3 Mistakes to Avoid
15:42 Weekly Workflow Summary

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The Perfect AI Competitive Analysis Workflow For Marketers (Claude, Codex, NotebookLM, Panoramata)

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