A single finding about how something really behaves.
An analysis of how Claude's webinar platform recommendations were influenced by affiliate-driven content, and a correction regarding YouTube's live features.
Australian AI SEO agency specialising in brand visibility optimisation for global brands and e-commerce websites using advanced machine learning techniques.
Google’s AI search and Gemini use a single-turn transient architecture that purges raw web snippets from working memory immediately after a response is sent.
An analysis of Google patent US11769017B1, detailing a system that uses context and implied input engines to proactively generate and push AI summaries.
An investigation into whether Google uses structured data to ground Gemini in AI search, exploring the relationship between LD+JSON and RAG grounding sources.
An observation of a new, custom grounding context format for Gemini that deviates from the traditional index-based model used in previous prompt types.
Tests suggest Google’s AI Mode uses a proprietary content store rather than retrieving live web content from the search index during the query fan out process.
An analysis of how AI search rankers use semantic alignment to surface different content zones within a single article based on query specificity and intent.
An analysis of Gemini 3 API responses reveals the model fabricating search queries to justify its answers, demonstrating persistent hallucination behaviors.
An analysis of AI Overview leaks suggesting that Google's implementation may be based on the Dialogflow agentic framework, specifically regarding intent priority.
Technical interpretations and parameter breakdowns for various AI models, including Gemini, Gemma, ULM, and StableLM, covering architecture and scale.
Explore Vertex AI website search features, including Enterprise edition tools like extractive answers, image search, and advanced LLM capabilities for summaries.
Tests indicate Google's AI Mode uses a proprietary content store rather than the live web, as it fails to fetch indexed pages that are otherwise ranking.
An experiment testing Google's AI Mode suggests it may rely on Google's existing index or cached web data rather than performing live HTTP requests for all URLs.
An analysis of how Google selects content for AI Mode snippets, identifying patterns in value propositions, HTML structure, and semantic selection criteria.
Chrome's latest update features a new text embedding model that is 57% smaller than its predecessor, using int8 quantization to maintain search quality.
