#llm-optimization

#llm-optimization

YouTube is now a ranking asset in AI discovery, and you can lose share even if website traffic looks stable. YouTube is highly machine-readable (transcripts, metadata, chapters) and tends to be a low-risk source for AI to summarize and cite.

Google still controlled a whopping 89% of all U.S. web traffic in 2025. It's still a search powerhouse, no doubt, but it isn't the only show in town anymore. SEO as we know it is no more. The way people find information is changing dramatically. Google's rolling out 12-plus algorithm changes per day. At the same time, platforms like TikTok, Amazon, and generative AI tools like ChatGPT and Claude are becoming major players in the search game.

The PR teams that learn how to feed this ecosystem properly—via smart content, precise localization, and semantically aligned narratives—will see their clients get surfaced more often.

Contextualizing database schemas into a vector format reduces the complexity for LLM-based retrieval while simultaneously addressing the common rate limit issues with OpenAI APIs.

Chunking the content involves breaking down materials into smaller, manageable pieces, allowing language models to process and retrieve relevant information efficiently for generating responses.