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
Leaked Google documents tell us about Attributes and their use in Rankings
Search News You Can Use - SEO Podcast with Marie Haynes
1 hour 3 minutes 5 seconds
1 year ago
Leaked Google documents tell us about Attributes and their use in Rankings
Documents describing Google's ranking systems in great detail have been leaked by someone who sent an email to Rand Fishkin. In this video, I share my thoughts on Rand's post and then at around 35 mins or so I play around with analyzing this document with Gemini 1.5 Pro in AI Studio.
Hope you enjoy this type of video. I share a lot of my thoughts on how machine learning systems work to use all of the many attributes described in this documentation. This includes links, clicks, return to search results and much more.
Take home point: Google uses MANY signals/attributes/features in their calculations that predict what is likely to be helpful to the searcher. Our goal should be to create content that people choose to engage with and ultimately find to be the satisfying answer to their query - or in other words, HELPFUL.
This episode may be best seen as a video podast:
https://www.youtube.com/watch?v=kVYUvh4Vt30
Links mentioned
Marie’s newsletter: mariehaynes.com/newsletter
Marie’s notes (paid newsletter - follow along as I take notes on things like this each week.)
https://community.mariehaynes.com/spaces/12261861/feed
Marie’s Course and book: SEO in the Gemini Era is out soon.
The Docs referred to in this video: https://hexdocs.pm/google_api_content_warehouse/0.4.0/api-reference.html
Rand Fishkin’s post. He received an email with the contents of the leak. https://sparktoro.com/blog/an-anonymous-source-shared-thousands-of-leaked-google-search-api-documents-with-me-everyone-in-seo-should-see-them/
Mike King’s article on these documents:
https://ipullrank.com/google-algo-leak
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