What is Google MUM?
Home | Optimising for mum | How do we know mum likes what we like? | If google mum was trained in 75 languages, does it have different tastes in…
Look Down Not Up
Home | Optimising for mum | How do we know mum likes what we like? | If google mum was trained in 75 languages, does it have different tastes in…
BERT (Bidirectional Encoder Representations from Transformers) did not supersede RankBrain in Google’s search algorithm. Instead, BERT is an additional layer that works alongside RankBrain and other components of Google’s algorithm…
Home | How should i best address quality and relevance of content? | What factors govern user experience (ux) and i’ts effect on serp rankings? | How can i optimise…
Home | An AI can only be interpreted by itself, not accessed like a database | Does another AI interrogate and correlate all the different sources? | Are the majority…
Home | Ground zero: acclimatization and ethos introduction | Stage 1: crawling the site – understanding links and pages in a business context | Comprehensive stage 2: indexing – data…
Reframing “OSE” (Optimization for Search Engines) as a collaborative effort with Google’s mission to organize the world’s information makes it not just a strategic shift, but also an alignment with…
Recognizing that each site submitted to a search engine is part of a vast index where it’s subsequently ranked is crucial. This understanding not only grounds expectations but also emphasizes…
Home | Google as the digital ‘total perspective vortex’ | Understanding our relative significance | Emphasizing quality and uniqueness | The zaphod solution | Leveraging the analogyGoogle as the Digital…
Google’s search engine ranking involves a complex set of algorithms and numerous components that work together to determine the relevance and ranking of web pages in search results. While Google…