“Google is absolutely going to remain dominant. The same strategies we had four years ago before ChatGPT popped on the scene are still applicable.” – Eli Schwartz
Eli Schwartz is a growth advisor, SEO consultant, and the bestselling author of Product-Led SEO: The Why Behind Building Your Organic Growth Strategy. Over more than a decade in the industry, he has built and executed global organic growth strategies for companies including Zapier, Tinder, Coinbase, Quora, LinkedIn, and WordPress, and previously led SEO at SurveyMonkey, where he grew organic search from roughly 1% of revenue into one of the company’s largest growth drivers. He now writes The Future of SEO & AEO, a newsletter on ProductLedSEO.com focused on what search actually looks like in an AI-driven world.
Episode Summary
In this episode of Beyond the Search Bar, host Russ Macumber welcomes back returning guest Eli Schwartz for an unscripted, no-notes conversation on where AI search is really heading. Eli lays out his core thesis: Google isn’t losing this war – it’s winning it, largely on the back of distribution advantages (Android, Chrome, YouTube, Gmail) that ChatGPT, Claude, and Gemini simply can’t match. The two dig into how Reddit data actually feeds LLMs (including deleted comments and banned threads), why AEO is really just SEO wearing a new hat, whether brands should bother optimizing for individual LLMs, and why “sameness” across AI answers might be a feature, not a bug. The conversation also covers Google I/O takeaways, a sneak peek at AI-powered Gmail search, the risks of over-relying on prompt-tracking tools, and a candid discussion on whether AI is dulling human critical thinking – including in Eli’s own family.
Key Takeaways
- Google’s dominance isn’t going anywhere: Distribution — not just model quality — is why Google will remain the dominant search platform, even against strong competitors like Claude and Gemini.
- AEO is built on an SEO foundation: Every brand that performs well in LLM already performs well in traditional SEO; there’s no shortcut around that.
- Reddit strategy needs patience, not hacks: Treat Reddit like any other social platform — genuine community engagement wins long-term, while gaming it (and getting subreddits banned) can wipe out years of traffic overnight.
- LLMs see more than crawlable content: Google reportedly receives a full data “firehose” from Reddit — including deleted comments, banned threads, and removed users — not just what’s publicly visible
- Don’t over-invest in single-LLM optimization: Because most platforms are converging on similar underlying “human curator” logic, chasing individual LLM quirks (Brave, Deep Seek, etc.) is a low-ROI game.
- Sameness in AI answers is often intentional: For factual, health, or safety-related queries, users want consistency, not creativity — creative differentiation matters more in content generation, not answer engines.
- AI will replace mundane tasks, not creative marketers: The marketers most at risk are those doing repetitive, low-creativity work; creative strategists are more likely to have AI absorb their busywork rather than their jobs.
- Prompt-tracking data is often misleading: Many visibility-tracking tools reflect a narrow window in time and don’t hold up under real-world, repeated testing — especially outside of dominant, unambiguous brand categories.
- Personalized search is arriving fast: Features like Gemini’s “personal intelligence” already tailor answers based on personal data (Gmail, contacts, history), and this hyper-personalization is likely to accelerate industry-wide within months, not years.
Timestamped Summary
- 01:23–03:01 – Introduction and welcome back for returning guest Eli Schwartz.
- 03:01–04:41 – Eli’s 2026 hot take: Google remains dominant, and AEO is built entirely on an SEO foundation.
- 04:41–08:12 – The Reed Hoffman-relayed story of Google’s early reaction to ChatGPT, and why YouTube is an underrated Google asset.
- 08:12–13:04 – A real client story on Reddit strategy gone wrong, and how Reddit’s full data feed (including deleted content) may inform Google’s trust signals.
- 13:04–14:36 – Google’s commanding market position and the rising importance of AI/AEO search behavior.
- 14:36–19:02 – Why optimizing for individual LLMs mirrors early Bing strategy, the “AI curator” concept, and why sameness across models isn’t necessarily bad.
- 19:02–22:06 – The Idea Peddler AI-image experiment, AI’s impact on creative and marketing jobs, and pushback against VCs predicting marketers’ extinction.
- 22:06–25:23 – Takeaways from Google I/O, including agents, visual search, and a first look at AI-powered Gmail search.
- 25:23–27:13 – Why marketers should discount Google’s public statements and build for actual users instead.
- 27:13–29:50 – OpenAI’s path to going public, and why “TikTok will kill Google” predictions never played out.
- 29:50–33:17 – How much brands should actually worry about LLM visibility, and the unreliability of prompt-tracking tools.
- 33:17–34:23 – The near-term rise of hyper-personalized search results and Gemini’s “personal intelligence” feature.
- 34:23–35:44 – A candid discussion on whether AI is eroding human critical thinking, including in Eli and Russ’s own families.
- 35:44–37:18 – Closing thoughts on why this is one of the most exciting times to work in marketing.
