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10 Interestana reports mention Duane Forrester, newest first. Each is summarised from the original reporting and links back to its publisher.
Large Language Models (LLMs) are fundamentally altering how users interact with and perceive information by stripping away temporal context, a critical signal previously used to evaluate content reliability and relevance.
Artificial intelligence models may default to describing competitor companies when they lack sufficient specific data about the target company. This phenomenon, highlighted by Duane Forrester and discussed on Search Engine Journal, suggests that simply increasing content volume will not resolve…
AI search tools, often promoted with advice to "answer sooner, write less, and simplify," may not fundamentally reduce the cognitive load associated with information processing. Instead, these tools appear to relocate the informational work, shifting the burden from one type…
Duane Forrester, a search industry veteran with over 25 years of experience, including a decade at Microsoft, believes that the advent of artificial intelligence (AI) is ushering in a foundational shift in search engine optimization (SEO), reminiscent of the industry's…
Building authority in the field of artificial intelligence is a long-term endeavor that extends beyond immediate marketing campaigns, according to Duane Forrester writing for Search Engine Journal. Forrester emphasizes that true AI authority is not achieved through fleeting tactical efforts…
On-site entity mapping, a technique focused on structuring and connecting information within a website, demonstrably influences Google's search graph but does not directly translate to the learning processes of large language models (LLMs) such as ChatGPT.
OpenAI's ChatGPT has introduced a feature that anonymizes user search queries, a move that mirrors Google's "Not Provided" shift in 2011. This development, reported by Search Engine Journal and highlighted by Duane Forrester, significantly impacts the ability of marketers…
A new website experienced a significant portion of its "AI Assistant" traffic being artificial, with 81.8% identified as fake. This discovery was made by analyzing crawl data, which revealed that ClaudeBot, an AI crawler, was more active on the site…
Search Engine Journal published an article on May 29, 2024, clarifying the distinction between AI ranking and AI citation, with author Duane Forrester explaining that AI models process prompts differently than traditional search engines.
Search Engine Journal published an article on May 15, 2024, detailing two distinct memory systems crucial for AI search: parametric memory and retrieval. Parametric memory refers to the knowledge embedded directly within an AI model's parameters during training.