Skip to content

inside index

Understanding The Relationship Between Search Algorithms and LLMs

By Rachel Hernandez

There’s been a lot of talk online about generative AI systems replacing search engines, but the two actually work hand-in-hand.  LLMs (large language models) and search algorithms share a symbiotic relationship, and they’re stronger together than apart. Here’s what we mean.  Search algorithms retrieve the world’s information, and LLMs interpret it.  LLMs use search engines … Continued

The Future of SEO: Agents, Multimodal Search, and Beyond

By Rachel Hernandez

SEO is being catapulted into AI-driven discovery at a breakneck pace.  Bear in mind, this is an evolution, not an outright replacement.  While the SEO funnel may have changed, there’s still a decision-making process involved in AI search that marketers can leverage in their favor.  The challenge is that the online discovery process is increasingly … Continued

Understanding Query Fan-Out (and How to Optimize for It)

By Rachel Hernandez

  Ever wonder how AIs are able to give such detailed answers to complicated queries? While multiple layers are involved, such as RAG (retrieval-augmented generation), query fan-out plays a large role in the information retrieval process. Whenever an AI like ChatGPT needs to look something up online, it doesn’t run a search for the exact … Continued