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Search News You Can Use - SEO Podcast with Marie Haynes
Marie Haynes
201 episodes
5 months ago
It was an honour to attend Google I/O in person. Search is changing radically! Google called it a new era of Search with Gemini 2.5 at its core. This podcast episode was recorded live. Stay up to date on AI with my newsletter: https://mariehaynes.com/newsletter Immediate updates on important AI and SEO news in my community, the Search Bar: https://community.mariehaynes.com/spaces/11879397/feed 0:00 – 0:51 Welcome & recap of Google I/O invitation, outline of the live episode’s agenda 0:51 – 1:55 Screen-share setup; meeting Sundar Pichai and Sergey Brin anecdotes 2:40 – 4:15 What AI Mode is, why Google may replace “classic” search, and the query fan-out patent 4:15 – 6:02 How clicks train AI Mode; demo showing 59 source sites and the result carousel 7:03 – 9:14 Ethics of Google using web content; E-E-A-T impact on carousel inclusion 9:55 – 12:22 Accuracy, hallucinations, feedback buttons, and why original content matters 14:00 – 17:21 Freshness signals, library analogy for originality, Gemini Live phone demo 17:21 – 27:55 Gemini AR glasses test, personal-context search & privacy implications 32:21 – 35:22 Gemini in Chrome: on-page AI assistance, summarisation, e-commerce concerns 35:22 – 40:47 Project Mariner: browser agents that automate multitab workflows; job impact 40:47 – 43:59 Agent Mode & agent-to-agent checkout; custom charts/graphs in AI Mode 43:59 – 50:52 Deep Search (multi-query research) and uploading your own files for reports 50:52 – 54:42 E-commerce upgrades: “Try it On” virtual fitting, price-tracking, “Buy for Me” with Google Pay, Wing drone delivery 54:42 – 57:00 Gemini V3 multimodal video creation, Flow editor, AI content production costs 57:00 – 60:00 Google’s universal AI assistant vision, coming hardware, and industry upheaval 60:00 – 61:00 Sergey Brin on the web’s unpredictability ten years out; reflections on accelerating change 61:00 – 62:27 Dario Amodei’s forecast of 20 % unemployment from AI; balancing fear with opportunity 62:27 – 63:50 Learning-curve discussion: experiment daily, let Gemini/ChatGPT tutor you step by step 63:50 – 66:00 Question on falling organic clicks: focus on conversions, cite Will Reynolds’ data, report revenue over raw traffic 66:00 – 67:12 Who gets credit—SEO or CRO? Rebranding SEO as AIO/GEO and outlining the evolving practitioner role 67:12 – 68:32 Brand building beyond Wikipedia: podcasts, social presence, authoritative mentions; example of podcast mention boosting AI-overview visibility 68:32 – 69:20 LLMs.txt debate: no major model honors it yet, so implementing it is likely wasted effort 69:20 – 70:10 Server-log analysis of AI bots: seeing ByteDance and others, limited actionable value beyond selective blocking 70:10 – 71:10 Google Agent Space: 100-seat minimum, use cases for large agencies (onboarding, HR, process agents) 71:10 – 72:10 MCP for e-commerce customization tools; preparing your site for future agent-to-agent APIs 72:10 – 73:20 Speculation that many third-party agent frameworks will fade once Google/OpenAI integrate agents natively 73:20 – 74:10 Community learning benefits; SEO skillset as problem-solving edge in the AI era 74:10 – 75:25 Overview of the Search Bar Pro community, tutorials, “happy hour” discussions, member advantages 75:25 – 76:50 Coping with upheaval: lamplighter analogy, choosing optimism, hunting for new opportunities 76:50 – 78:00 Closing remarks: upcoming talks on BCIs and agents 78:00 – 87:08 Final chat exchanges, farewells, and session wrap-up
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It was an honour to attend Google I/O in person. Search is changing radically! Google called it a new era of Search with Gemini 2.5 at its core. This podcast episode was recorded live. Stay up to date on AI with my newsletter: https://mariehaynes.com/newsletter Immediate updates on important AI and SEO news in my community, the Search Bar: https://community.mariehaynes.com/spaces/11879397/feed 0:00 – 0:51 Welcome & recap of Google I/O invitation, outline of the live episode’s agenda 0:51 – 1:55 Screen-share setup; meeting Sundar Pichai and Sergey Brin anecdotes 2:40 – 4:15 What AI Mode is, why Google may replace “classic” search, and the query fan-out patent 4:15 – 6:02 How clicks train AI Mode; demo showing 59 source sites and the result carousel 7:03 – 9:14 Ethics of Google using web content; E-E-A-T impact on carousel inclusion 9:55 – 12:22 Accuracy, hallucinations, feedback buttons, and why original content matters 14:00 – 17:21 Freshness signals, library analogy for originality, Gemini Live phone demo 17:21 – 27:55 Gemini AR glasses test, personal-context search & privacy implications 32:21 – 35:22 Gemini in Chrome: on-page AI assistance, summarisation, e-commerce concerns 35:22 – 40:47 Project Mariner: browser agents that automate multitab workflows; job impact 40:47 – 43:59 Agent Mode & agent-to-agent checkout; custom charts/graphs in AI Mode 43:59 – 50:52 Deep Search (multi-query research) and uploading your own files for reports 50:52 – 54:42 E-commerce upgrades: “Try it On” virtual fitting, price-tracking, “Buy for Me” with Google Pay, Wing drone delivery 54:42 – 57:00 Gemini V3 multimodal video creation, Flow editor, AI content production costs 57:00 – 60:00 Google’s universal AI assistant vision, coming hardware, and industry upheaval 60:00 – 61:00 Sergey Brin on the web’s unpredictability ten years out; reflections on accelerating change 61:00 – 62:27 Dario Amodei’s forecast of 20 % unemployment from AI; balancing fear with opportunity 62:27 – 63:50 Learning-curve discussion: experiment daily, let Gemini/ChatGPT tutor you step by step 63:50 – 66:00 Question on falling organic clicks: focus on conversions, cite Will Reynolds’ data, report revenue over raw traffic 66:00 – 67:12 Who gets credit—SEO or CRO? Rebranding SEO as AIO/GEO and outlining the evolving practitioner role 67:12 – 68:32 Brand building beyond Wikipedia: podcasts, social presence, authoritative mentions; example of podcast mention boosting AI-overview visibility 68:32 – 69:20 LLMs.txt debate: no major model honors it yet, so implementing it is likely wasted effort 69:20 – 70:10 Server-log analysis of AI bots: seeing ByteDance and others, limited actionable value beyond selective blocking 70:10 – 71:10 Google Agent Space: 100-seat minimum, use cases for large agencies (onboarding, HR, process agents) 71:10 – 72:10 MCP for e-commerce customization tools; preparing your site for future agent-to-agent APIs 72:10 – 73:20 Speculation that many third-party agent frameworks will fade once Google/OpenAI integrate agents natively 73:20 – 74:10 Community learning benefits; SEO skillset as problem-solving edge in the AI era 74:10 – 75:25 Overview of the Search Bar Pro community, tutorials, “happy hour” discussions, member advantages 75:25 – 76:50 Coping with upheaval: lamplighter analogy, choosing optimism, hunting for new opportunities 76:50 – 78:00 Closing remarks: upcoming talks on BCIs and agents 78:00 – 87:08 Final chat exchanges, farewells, and session wrap-up
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Let's Talk About Author Bios
Search News You Can Use - SEO Podcast with Marie Haynes
37 minutes 18 seconds
1 year ago
Let's Talk About Author Bios
This is an impromptu, unscripted episode with Dr. Marie Haynes, recorded because of a recent news headline from Search Engine Roundtable that said, "Google: Author Bylines Don't Help You Rank Better; Google Doesn't Check Credentials. Barry's article was prompted based on comments from Google's Search Liaison Danny Sullivan regarding yet another Verge article that does not look favourably on SEO. Are author bios a ranking factor? If you've followed my theories and teachings on Google's ranking systems, you know that I am indeed a proponent of using author bios in many situations. In the episode I share anecdotes of sites that did indeed see improvements after getting qualified authors and then doing more to share about their qualifications. Are author bios a ranking factor? No. Will having an author bio increase the chances that searchers will trust your site and find it useful. Sometimes, yes. We have recently learned from the DOJ antitrust trial against Google that user engagement signals are incredibly important when it comes to shaping the algorithm. In this episode, we go back to statements from John Mueller's help hangouts several years back to look at why the industry developed rules about author bios that most sites follow. They make so much more sense now that we understand how user engagement signals (called IS - likely information satisfaction) signals in the DOJ trial are used to train RankBrain. RankBrain is Google's AI that is used to re-rank the top 20-30 results and SERP features you see when you do a search. Hopefully this episode convinces you that both the following can be true: 1) Author bios aren't a ranking factor 2) Author bios can be a part of the entire package that helps improve user engagement and satisfaction signals, which in turn is what drives rankings. SER article: https://www.seroundtable.com/google-author-bylines-ranking-36684.html Verge article: https://www.theverge.com/c/23998379/google-search-seo-algorithm-webpage-optimization Danny Sullivan's comments: https://x.com/searchliaison/status/1744371735405772927?s=20
Search News You Can Use - SEO Podcast with Marie Haynes
It was an honour to attend Google I/O in person. Search is changing radically! Google called it a new era of Search with Gemini 2.5 at its core. This podcast episode was recorded live. Stay up to date on AI with my newsletter: https://mariehaynes.com/newsletter Immediate updates on important AI and SEO news in my community, the Search Bar: https://community.mariehaynes.com/spaces/11879397/feed 0:00 – 0:51 Welcome & recap of Google I/O invitation, outline of the live episode’s agenda 0:51 – 1:55 Screen-share setup; meeting Sundar Pichai and Sergey Brin anecdotes 2:40 – 4:15 What AI Mode is, why Google may replace “classic” search, and the query fan-out patent 4:15 – 6:02 How clicks train AI Mode; demo showing 59 source sites and the result carousel 7:03 – 9:14 Ethics of Google using web content; E-E-A-T impact on carousel inclusion 9:55 – 12:22 Accuracy, hallucinations, feedback buttons, and why original content matters 14:00 – 17:21 Freshness signals, library analogy for originality, Gemini Live phone demo 17:21 – 27:55 Gemini AR glasses test, personal-context search & privacy implications 32:21 – 35:22 Gemini in Chrome: on-page AI assistance, summarisation, e-commerce concerns 35:22 – 40:47 Project Mariner: browser agents that automate multitab workflows; job impact 40:47 – 43:59 Agent Mode & agent-to-agent checkout; custom charts/graphs in AI Mode 43:59 – 50:52 Deep Search (multi-query research) and uploading your own files for reports 50:52 – 54:42 E-commerce upgrades: “Try it On” virtual fitting, price-tracking, “Buy for Me” with Google Pay, Wing drone delivery 54:42 – 57:00 Gemini V3 multimodal video creation, Flow editor, AI content production costs 57:00 – 60:00 Google’s universal AI assistant vision, coming hardware, and industry upheaval 60:00 – 61:00 Sergey Brin on the web’s unpredictability ten years out; reflections on accelerating change 61:00 – 62:27 Dario Amodei’s forecast of 20 % unemployment from AI; balancing fear with opportunity 62:27 – 63:50 Learning-curve discussion: experiment daily, let Gemini/ChatGPT tutor you step by step 63:50 – 66:00 Question on falling organic clicks: focus on conversions, cite Will Reynolds’ data, report revenue over raw traffic 66:00 – 67:12 Who gets credit—SEO or CRO? Rebranding SEO as AIO/GEO and outlining the evolving practitioner role 67:12 – 68:32 Brand building beyond Wikipedia: podcasts, social presence, authoritative mentions; example of podcast mention boosting AI-overview visibility 68:32 – 69:20 LLMs.txt debate: no major model honors it yet, so implementing it is likely wasted effort 69:20 – 70:10 Server-log analysis of AI bots: seeing ByteDance and others, limited actionable value beyond selective blocking 70:10 – 71:10 Google Agent Space: 100-seat minimum, use cases for large agencies (onboarding, HR, process agents) 71:10 – 72:10 MCP for e-commerce customization tools; preparing your site for future agent-to-agent APIs 72:10 – 73:20 Speculation that many third-party agent frameworks will fade once Google/OpenAI integrate agents natively 73:20 – 74:10 Community learning benefits; SEO skillset as problem-solving edge in the AI era 74:10 – 75:25 Overview of the Search Bar Pro community, tutorials, “happy hour” discussions, member advantages 75:25 – 76:50 Coping with upheaval: lamplighter analogy, choosing optimism, hunting for new opportunities 76:50 – 78:00 Closing remarks: upcoming talks on BCIs and agents 78:00 – 87:08 Final chat exchanges, farewells, and session wrap-up