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Google released Gemma 4 this week, and while the tech press is treating it as a developer story, Cassie argues it's actually one of the most important content strategy stories of the year. Open-weight models mean companies can download a frozen snapshot of Google's AI and deploy it into internal chatbots, customer support tools, and vertical search products that run for years — each one carrying a frozen version of how the model understood your brand on training day.

Cassie also unpacks a double whammy hitting Google Search Console right now: a long-running impression-logging bug dating back to May 2025 that's finally being corrected, and the March 2026 core update, which completed its 12-day rollout the morning of this recording. Together, those two events — plus the recent spam update — are about to make your data look weird for reasons that have nothing to do with your content strategy. The episode wraps with quick hits on Anthropic's Claude Mythos Preview and Project Glasswing, plus Microsoft's viral Copilot Terms of Service moment.

In This Episode:

• Why Gemma 4 is a content strategy story, not a developer story, and what "open-weight" actually means for how AI tools get built on top of Google's models
• How every open-weight model release creates a frozen snapshot of the internet that gets deployed into internal chatbots and enterprise tools for years after training ends
• Why enterprise software upgrade cycles mean a Gemma-powered chatbot built next month could still be shaping buyer perception of your brand in 2028
• Why Google Search Console has been over-reporting impression counts since May 2025, and what to do when your numbers drop over the next few weeks
• How to interpret Search Console data when three Google updates — the spam update, the March 2026 core update, and the impression bug fix — all hit in the same window
• Anthropic's Claude Mythos Preview and Project Glasswing: a quick look at the model Anthropic decided not to release
• Microsoft's "Copilot is for entertainment purposes only" ToS moment and what it says about building long-term strategy around any single engine

Let’s connect:

LinkedIn → Cassie Clark | Fractional Content Strategist
Website → https://cassieclarkmarketing.com

Download Freshness, Structure, Authority: The Framework for AI Search Visibility:

Amazon

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Send us Fan Mail

📬 Love the podcast? You’ll love the newsletter.
Get the weekly 3-2-1 on AI search + marketing: Subscribe

If you've been wondering how to actually get AI engines to start citing your brand, this episode is for you.

Cassie sits down with Paul Rowe, founder and Chief Generative Engine Officer at NeuralabX, who has been heads-down researching generative engine optimization since the Princeton GEO study was published in June 2024. Paul brings a rare combination of original research, live citation testing, and a refreshingly clear point of view on what's actually working inside ChatGPT, Copilot, Perplexity, and Google AI Mode right now.

Spoiler: the brands getting cited aren't winning because they nailed traditional SEO. They're winning because they understand something most marketers haven't caught onto yet.

In this episode, Cassie and Paul cover:

• What knowledge graph enrichment actually means in a GEO context (and how it's different from the SEO definition you already know)
• How Paul is running live screen-recorded citation tests across four AI engines—and why that kind of original content is catnip for AI engines
• The AI citation benchmark study Paul is running on his top competitors, and what the data is showing
• Why service-based businesses have a built-in GEO advantage through case studies
• The recency stat from Profound that should change how you think about content updates (spoiler: 56% of citations come from sources updated within the last month)
• What "updating a post" actually means, and why changing the date doesn't count
• Why the "SEO is GEO" narrative Google keeps pushing is only about half true

Resources:

Princeton's GEO study

What is the FSA Framework?

Let’s connect:

LinkedIn → Cassie Clark | Fractional Content Strategist
Website → https://cassieclarkmarketing.com

Download Freshness, Structure, Authority: The Framework for AI Search Visibility:

Amazon

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Send us Fan Mail

📬 Love the podcast? You’ll love the newsletter.
Get the weekly 3-2-1 on AI search + marketing: Subscribe

Google's March 2026 core update just hit, and it's one of the most volatile updates in recent memory. But if you've been paying attention to how AI engines choose sources, the signals Google is rewarding shouldn't surprise you.

Cassie also digs into a Search Engine Land piece that challenges one of the most popular narratives in GEO right now: that brands need a Reddit and Wikipedia strategy to earn AI citations. The data tells a very different story—and it reinforces why authority means consistency in your category, not virality on someone else's platform. The episode wraps with a preview of Google Cloud Next (April 22–24) and what marketers should be watching for as AI Mode in Search continues to expand.

In This Episode:

• Why the March 2026 core update is the most volatile since August 2024, with Semrush Sensor hitting 9.5/10 and over 55% of tracked sites showing significant movement
• How Google's spam update and core update worked as a one-two punch—clearing bad actors first, then recalibrating quality signals
• The pattern behind who's losing: generic content, mass-produced AI content without unique value, and the "publish for every keyword" playbook that's now collapsing
• Why Experience and Authoritativeness—the signals Google just tightened—map directly to how AI engines decide who gets cited
• How the FSA Framework explains why some brands are insulated from core update volatility and others aren't
• New data showing 80% of Reddit threads cited by AI have fewer than 20 upvotes, with an average post age of roughly 900 days, proving that Reddit virality is not an AI visibility strategy
• Why your website is still your most powerful asset for AI visibility, and why manufactured presence on third-party platforms is the wrong play for most brands
• What to watch for at Google Cloud Next: Gemini API updates, AI Mode in Search expansion, and the rise of agentic AI systems

Resources:

What is the FSA Framework?

Let’s connect:

LinkedIn → Cassie Clark | Fractional Content Strategist
Website → https://cassieclarkmarketing.com

Download Freshness, Structure, Authority: The Framework for AI Search Visibility:

Amazon

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/