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To understand Daily Journal's competitive position, the guest used AI to aggregate and analyze public but siloed Requests for Proposal (RFPs) from various court systems. This revealed the specific criteria for winning deals, providing a data-driven edge that traditional research methods would miss.

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The vast majority of enterprise information, previously trapped in formats like PDFs and documents, was largely unusable. AI, through techniques like RAG and automated structure extraction, is unlocking this data for the first time, making it queryable and enabling new large-scale analysis.

The most exciting application of AI in partnerships isn't automation but its ability to analyze data and reveal non-obvious trends and correlations. This allows leaders to see patterns in partner performance and customer behavior that are invisible to the naked eye.

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.

Companies controlling proprietary data, even if publicly accessible but hard to collect (like FlightAware), can use AI to deliver a 'finished meal' instead of just the 'raw vegetables.' This moves them up the value chain from a data provider to a solutions provider, unlocking significant pricing power.

Marketers can leverage AI browsers to automate competitive research. By opening tabs for multiple competitors, you can prompt the AI to instantly analyze and synthesize their pricing models, lead capture methods, and go-to-market strategies, replacing hours of manual work.

After an AI agent synthesizes competitor websites, messaging, or market data, don't stop at the summary. Use the power prompt: "Based on everything you found, what's the gap I can attack, and how can I exploit it?" This transforms data analysis directly into strategic action.

Beyond automating data collection, investment firms can use AI to generate novel analytical frameworks. By asking AI to find new ways to plot and interpret data inputs, the team moves from rote data entry to higher-level analysis, using the technology as a creative and strategic partner.

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.

A powerful AI workflow can collapse the time between market insight and execution. The speaker screenshots a competitor's site, uses AI to identify a weakness ("complexity"), then immediately prompts the AI to build an email campaign that highlights their product's counter-strength ("ease of use"), turning analysis into action in minutes.

Gain an Edge by Using AI to Scrape and Analyze Siloed Government RFPs | RiffOn