Compile a massive document of successful marketing emails from competitors. Feed this file into an AI like Claude to train it as your personalized marketing expert. It can then boil down key learnings and generate campaign ideas based on these proven strategies.

An AI agent can be configured to run persistent, daily checks on competitors' websites for pricing changes, new features, and blog posts. It can also monitor social media for mentions and deliver a summary via push notification or email only when changes occur, creating a low-noise, automated intelligence feed.

By analyzing industry-wide spending data, AI agents can identify peak and trough months for advertising spend. This allows savvy marketers to launch "contra-seasonal" campaigns during the troughs, capturing attention at a lower cost when competitors are spending less.

To prevent constant interruptions from automated tasks, schedule recurring AI agents to align with your work week. For example, receive competitive research on Fridays before planning and support summaries on Mondays before the team meeting. This integrates agent output into your natural workflow.

AI-powered browsers can instantly open tabs for all your competitors and then analyze their sites based on your prompts. Ask them to compare pricing pages, identify email collection methods, or summarize go-to-market strategies to quickly gather competitive intelligence.

Instead of asking one-off questions, build a detailed, pre-written prompt (a "shortcut") within an AI browser. This standardizes your analysis framework, allowing you to instantly reverse-engineer any company's marketing strategy with a single command, making deep research scalable and repeatable.

Use advanced AI features like ChatGPT's "agent mode" to perform multi-step, autonomous research. Schedule recurring tasks for the AI to analyze the latest social media algorithm changes and generate content strategies based on its findings, saving significant time.

A simple meta-question like "Is there something I'm not asking you?" can unlock an AI agent's more advanced, proactive capabilities. In the podcast, this prompt revealed superior strategies like monitoring competitor sponsors and setting up automated follow-up sequences, which were more valuable than the original request.

A founder set up an AI agent on a cron job to proactively scan the web twice daily for relevant industry news. The agent surfaces interesting studies and, upon request, immediately drafts a blog post, turning a passive tool into an active, automated content engine.