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6 Interestana reports mention Chris Green, newest first. Each is summarised from the original reporting and links back to its publisher.
Technical SEO audits are increasingly leveraging artificial intelligence to augment, rather than replace, human expertise. One technical SEO professional outlines a workflow that divides audit tasks between deterministic checks, a local large language model (LLM) for explanation, and a human…
An experiment utilizing Google's Gemini Nano has demonstrated the feasibility of running AI computations locally on a user's machine, thereby reducing the reliance on large, cloud-based "frontier" AI models. This approach, detailed in a Search Engine Journal article by Chris…
For search engine optimization (SEO) professionals navigating the evolving landscape of AI-powered search, understanding which data sources are most influential is paramount. Search Engine Journal, in a post authored by Chris Green, outlines a tiered approach to prioritizing these data…
A recent article published on Search Engine Journal, authored by Chris Green, outlines a method for assessing whether a specific webpage is integrated into the retrieval pipeline of an artificial intelligence (AI) system, particularly in the context of large language…
Navigating the landscape of AI agent technologies requires a clear understanding of the underlying standards and protocols. These standards are designed to address specific challenges in how AI agents interact with the web and each other, enabling more efficient…
Two independent analyses have revealed that ChatGPT's cited sources can change dynamically based on the specific, hidden retrieval pipelines it utilizes for generating answers. This finding introduces a new layer of complexity to tracking AI visibility, as the final output…