Search News You Can Use - SEO Podcast with Marie Haynes

Are Chrome engagement signals used in Google's ranking systems? I'd recommend watching Cindy's video from last week: https://youtu.be/txNT1S28U3M?si=uPi9nz61-1HfJefG Cindy theorized that Google collects all sorts of information from our visits using the Chrome browser. In our talk we discuss whether and how this information could be used in ranking algorithms. Reach Cindy: https://mobilemoxie.com/ https://x.com/Suzzicks Reach Marie: https://mariehaynes.com/contact/ https://community.mariehaynes.com/ - The Search Bar Links mentioned in this episode: The Pandu Nayak testimony: https://thecapitolforum.com/wp-content/uploads/2023/10/101823-USA-v-Google-PM.pdf Distributed Representation of Words and Phrases and their Compositionality - Jeff Dean, Ilya Sutskever et al. - Helps explain how vectors in a space are adjusted. Gemini gave me this paper when we were discussing RankBrain.

Here’s a conversation I had with Gemini about how its vector space works and how it adjusts as it learns. It may be possible for us to influence how Gemini represents our business by having more conversations about the things that are good about your business. Hope you find this interesting! (Also omg how many times did I say the word “interesting” in this episode? 😂 The end of this video includes a podcast made by NotebookLM AI podcasters talking about my conversation with Gemini. Here’s a great video I found that taught me a lot about vectors: https://www.youtube.com/watch?v=YvobVu1l7GI Here’s NotebookLM https://notebooklm.google.com/ See past podcast episodes https://community.mariehaynes.com/spaces/12946477/feed If you want to learn more about the AI systems used in Search here’s my book, SEO in the Gemini Era: The story of how AI changed Google search https://www.mariehaynes.com/gemini-era-seo/book/ And to go even deeper, here’s my course: https://www.mariehaynes.com/gemini-era-seo/course/ Want to join other people who are excited as me about AI? We’d love to have you in the Search Bar https://community.mariehaynes.com/

Thank you to Adam Szmerling from Bayside Psychotherapy who allowed me to publish our brainstorming session. The first 45 minutes or so of this episode are me sharing how Google’s algorithms have changed. Then, Adam and I look in detail at his competition and his website and discuss how to change it so that it is more likely to meet the needs of his potential clients. Watch on Youtube: https://youtu.be/K0FVlM7Xmc0 Links Marie’s book, SEO in the Gemini Era, The Story of How AI Changed Google Search https://amzn.to/3WPBg0Z SEO in the Gemini Era course: https://www.mariehaynes.com/gemini-era-seo/course/ Brainstorm with Marie: https://www.mariehaynes.com/work-with-marie/ DOJ vs. Google Pandu Nayak testimony: https://thecapitolforum.com/wp-content/uploads/2023/10/101823-USA-v-Google-PM.pdf My blog post on the API files with attributes including Navboost : https://www.mariehaynes.com/what-is-this-leaked-google-code-digging-into-the-api-docs/ Cyrus Shepard’s Moz article on click patents: https://moz.com/blog/click-based-seo-engagement-signals Internal Google email talking about Navboost: https://www.justice.gov/d9/2023-11/417828.pdf Google brought new signals into the core algorithm with March core update: https://searchengineland.com/seo-takeaways-google-elizabeth-tucker-smx-advanced-443070 Gemini 1.5 improved Google’s machine learning architecture: https://blog.google/technology/ai/google-gemini-next-generation-model-february-2024/#architecture My course if you’d like to learn more about the AI systems behind search: https://www.mariehaynes.com/gemini-era-seo/course/ Frederic Dubut of Bing talking about how we must switch from keyword research to intent research. https://www.youtube.com/watch?v=NTriTRmEf34 Google’s information gain patent https://patents.google.com/patent/US20200349181A1/en

Navboost is a system we learned about in the DOJ vs Google trial. Did you know that Google stores every query that you search, along with information on what you clicked on and engaged with? I share in this video how this system is described, and also how I believe Google's ability to predict what searchers are likely to find helpful is changing. Mentioned in this video: Blog post on Navboost by Marie: https://www.mariehaynes.com/navboost/ Marie's workbook: https://www.mariehaynes.com/gemini-era-seo/workbook/ Marie's book: https://www.mariehaynes.com/gemini-era-seo/book/ Pandu Nayak testimony: https://thecapitolforum.com/wp-content/uploads/2023/10/101823-USA-v-Google-PM.pdf Douglas Oard testimony: https://thecapitolforum.com/wp-content/uploads/2023/11/U.S.A.-et-al-v.-Google-LLC-Nov-15-2023-Bench-Trial-Day-41-Morn-Sess-Transcript.pdf Rand Fishkin's post on the API files: https://sparktoro.com/blog/an-anonymous-source-shared-thousands-of-leaked-google-search-api-documents-with-me-everyone-in-seo-should-see-them/ Cyrus Shepard's Moz article about Google patents involving clicks: https://moz.com/blog/click-based-seo-engagement-signals Google's announcement of the March core update: https://developers.google.com/search/blog/2024/03/core-update-spam-policies Google describing how the core update involved architecture changes and bringing in new signals: https://searchengineland.com/seo-takeaways-google-elizabeth-tucker-smx-advanced-443070