https://page2pod.com - Google I/O 2026 may have marked the biggest transformation in Google Search in over 25 years. In this episode of the Page Two Podcast, Jon Clark, Joe DeVita, and Constance Chen break down the most important announcements from Google I/O and what they mean for marketers, SEO professionals, ecommerce brands, and content creators.

Constance attended Google I/O in person and shares firsthand insights into Google's evolving AI ecosystem, including AI Mode, AI Overviews, Ask YouTube, Universal Commerce Protocol (UCP), Universal Cart, WebMCP, AI agents, and the future of agentic search.

The discussion explores how user behavior is changing, why traditional SEO metrics may become less important, and what businesses should be doing over the next 30 days, 90 days, and beyond to remain visible in AI-powered search experiences.

🤖 In This Episode
• Why Google is positioning AI as the future of Search rather than a search feature
• Key takeaways from Google I/O 2026 and the evolution of AI Mode
• How AI Overviews and AI Mode are merging into a seamless search experience
• What Google's redesigned search bar reveals about the future of search behavior
• How personalization and multimodal search are changing discovery
• What AI Search Agents mean for publishers, marketers, and consumers
• Why Ask YouTube could become a major visibility opportunity for brands and creators
• Understanding Universal Commerce Protocol (UCP) and Universal Cart
• How AI agents may soon complete purchases on behalf of users
• What WebMCP means for websites preparing for the agentic web
• Actionable recommendations for the next 30, 90, and 180 days
• Why video content is becoming increasingly important for AI visibility
• The future of ecommerce, content marketing, and Answer Engine Optimization (AEO)
• Predictions for Google I/O 2027 and the next wave of AI-driven search innovation

Whether you're an SEO professional, ecommerce leader, content marketer, or business owner, this episode provides practical insights into how Google's AI-first future is reshaping visibility, traffic, and online growth.

🔔 Subscribe for more expert discussions on SEO, AI search, digital marketing, and answer engine optimization.

💬 Comment below: Which Google I/O 2026 announcement do you think will have the biggest impact on your business—AI Mode, Ask YouTube, UCP, or WebMCP?

🛠️ Tools & Resources Mentioned
• Google AI Mode
• Google AI Overviews
• Ask YouTube
• Ask Maps
• Universal Commerce Protocol (UCP)
• Universal Cart
• WebMCP
• AI Search Agents

Sponsored by Moving Traffic Media

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https://page2pod.com - In this season finale of the Page 2 Podcast, Jon Clark and Joe DeVita sit down with Nick Swan, founder of SEOTesting, to explore the future of SEO experimentation, AI-powered workflows, and the rise of MCP servers.

Nick shares how he accidentally built SEOTesting from a side project tracking coupon code SEO changes in Excel into a leading SEO experimentation platform used by agencies, consultants, and enterprise teams. The conversation dives deep into statistical significance in SEO testing, content refresh strategies, AI-assisted development with Claude Code and Codex, and how modern SEO teams are adapting to Google’s evolving search landscape.

⚙️ In This Episode
• 🚀 Nick Swan explains how SEOTesting evolved from a side project into a full SaaS business
• 📊 A practical explanation of statistical significance for SEO experiments
• 🤖 How Claude Code and Codex are accelerating software development
• 🔍 Why content refreshes consistently outperform many SEO tactics
• 🧠 Using Google patents and AI to generate better SEO personas
• 🔗 How MCP servers connect SEO tools, AI workflows, and automation
• 📈 Lessons from analyzing over 140,000 SEO tests
• ⚡ Why AI agents may soon be making SEO changes autonomously
• 🛠️ Insights into building scalable SEO workflows for agencies and in-house teams
• 📚 Nick’s favorite startup and productivity resources for founders

The episode also explores:
• How SEO split testing actually works
• Why content refreshes remain one of the highest-performing SEO tactics
• How AI workflows and MCP servers are reshaping SEO tooling
• The role of personas and query fan-out in AI-driven content optimization
• Why agencies and enterprise teams still need reliable SEO infrastructure
• The future of automated SEO monitoring and agentic workflows
• Startup lessons from bootstrapping a SaaS company for nearly a decade

This episode is packed with actionable SEO insights, AI workflow ideas, and startup lessons for marketers, founders, and technical SEOs alike.

🛠️ Tools & Resources Mentioned
• SEOTesting.com → https://seotesting.com/
• Nick Swan on LinkedIn → https://www.linkedin.com/in/nickswan/
• Nick Swan on Twitter → https://x.com/nickswan
• SEOTesting MCP Server → https://www.loom.com/share/07db5eddb12b44b1abca348895d567df
• SEOTesting.com 45 Day Extended Free Trial Offer → https://seotesting.com/partner/page2pod/

📣 Subscribe to the Page 2 Podcast for more interviews with leading SEO founders, growth marketers, and AI innovators shaping the future of search.

💬 Comment below: What SEO workflow or AI automation are you most excited to test in 2026?

Sponsored by Moving Traffic Media

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https://page2pod.com - In this episode of the Page 2 Podcast, Jon Clark and Joe DeVita sit down with Aimee Jurenka, SEO and AI Visibility Strategist at Rickety Roo and founder of seo SUSTAINABLE, to unpack what SEO looks like as AI search, LLMs, and answer engines reshape brand discovery.

Aimee explains why modern SEO strategy is moving beyond traditional keyword targeting and toward topic entities, semantic associations, brand positioning, and what a company wants to be known for. She shares how marketers can measure brand visibility inside LLMs, why one-off prompt tracking can be misleading, and how SEOs can use competitor comparisons, branded queries, and content gaps to improve visibility across AI-driven search experiences.

🔍 In This Episode

• Why keyword research is becoming fuel for broader topic entity strategy
• How to think about what your brand wants to be known for in AI search
• The difference between what LLMs know about your brand and what they associate you with
• Why single-shot prompt tracking can create unreliable visibility data
• How branded search, mention rate, and competitive context help measure AI visibility
• The role of semantic triplets in clarifying brand identity and positioning
• Why side-by-side comparison content can outperform generic listicles
• How small businesses can learn from larger competitors without copying them
• What SEOs should understand about AI crawlers, bots, and technical accessibility
• How tools like ChatGPT, Gemini, Claude, Perplexity, NotebookLM, and Screaming Frog fit into AI visibility workflows

This episode is packed with practical insights for SEOs, content strategists, and marketers who want to build stronger brand visibility across both traditional search and emerging AI answer engines.

Subscribe to the Page 2 Podcast for more conversations with SEO leaders, AI search strategists, and digital marketing experts.

What do you think is the biggest shift in SEO right now: AI visibility, entity optimization, or brand authority? Drop your thoughts in the comments.

🛠️ Tools & Resources Mentioned
• Aimee Jurenka on LinkedIn
• Sitebulb article referenced in the episode
• Rickety Roo
• seo SUSTAINABLE
• John Mueller’s Q2 news mention

Sponsored by Moving Traffic Media

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