LLMs frequently cite sources that rank poorly on traditional search engines (page 3 and beyond). They are better at identifying canonically correct and authoritative information, regardless of backlinks or domain authority. This gives high-quality, niche content a better chance to be surfaced than ever before.

X plans to delete all heuristics from its recommendation system. The feed will instead be powered by Grok, which will analyze every piece of content to match users with posts and videos. This is a move from a traditional, rule-based algorithm to a fully generative, AI-driven content discovery engine.

An untapped startup idea is to create a tool that constantly polls AIs on subjective topics (e.g., "best candidate"). Visualizing these "vibes" over time would create a free content engine by exposing model biases and showing how AI consensus shifts, making it a "Wirecutter for everything."

Instead of guessing which content works, brands must use data to analyze which sources (articles, domains, data structures) an AI engine like ChatGPT consistently pulls from for a specific industry. This allows brands to tailor content to the AI's demonstrated preferences.

Leverage AI to analyze your year's worth of data to quickly identify top-performing content. AI can then go a step further by summarizing these top pieces or extracting key takeaways, creating new derivative content from your existing assets with minimal manual effort.

Creating "best of" content roundups is now easier with AI. Instead of manually sifting through data to find top performers, marketers can use AI to quickly identify popular content and even extract key summaries, significantly speeding up the creation process and enabling deeper insights.

The best AI models are trained on data that reflects deep, subjective qualities—not just simple criteria. This "taste" is a key differentiator, influencing everything from code generation to creative writing, and is shaped by the values of the frontier lab.

Kevin Rose discovered an unexpected use for vector embeddings in his news aggregator. By analyzing the vector distance and publish times of articles on the same topic, he can detect when multiple outlets are part of a paid PR campaign, as the content is nearly identical.

To move beyond simple engagement signals, Elon Musk's X is deploying Grok to read and understand up to 100 million posts per day. The AI will categorize and match content to individual users, a personalization task he says is impossible for humans to perform at scale.