BERT (Bidirectional Encoder Representations from Transformers)  is a Natural Language Processing (NLP) model that helps Google understand language better in order to serve more relevant results. BERT will play a significant role in improving conversational search. According to Search Engine Land, Google’s BERT will impact 10% of searches. It may affect your brand’s organic visibility and traffic. Rank Ranger team has published a new podcast episode ‘BERT & SEO – Getting The Story Straight’ featuring Dawn Anderson. Rank Ranger team says, “Big... [...]

Google’s BERT (Bidirectional Encoder Representations from Transformers) algorithm update is considered one of the most significant algorithm updates in the recent past. To help you adjust with the new algorithm, Seer Interactive contributor Taylor Hurff has shared five steps to find BERT keywords. Hurff says, “To find new keywords you rank for after BERT and those you stopped ranking for after the update, you’ll need to head over to Google Search Console. You can attempt this same process with SERP tracking tools, but as we mentioned above, they won’t be nearly as comprehensive... [...]

BERT (Bidirectional Encoder Representations from Transformers)  is a Natural Language Processing (NLP) model that helps Google understand language better in order to serve more relevant results. BERT will play a significant role in improving conversational search. According to Search Engine Journal, BERT will impact 10% of search queries including organic rankings and featured snippets. MOZ team has published a new video ‘What Is BERT?’ featuring Britney Muller. Watch this video to learn about Google’s BERT algorithm and how it works. MOZ team says, “There’s a lot... [...]