Sep 19, 2024 · 1h 55m · lennys-podcast
Rethinking SEO in the age of AI | Eli Schwartz (SEO advisor, author)
gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
SEO advisor and author Eli Schwartz joins Lenny Rachitsky to discuss how generative AI and AI Overviews are transforming search, outlining why companies must abandon legacy keyword tactics in favor of product-led SEO strategies that capture high-intent user demand.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Lenny holds 22.8% of the talking time here. How this is scored →
speaking balance: gold is Lenny, purple is the guest (3 minute bins)
When Lenny asserts that AI answers push organic links down the page, Eli flatly disagrees, countering that content becomes fundamentally less relevant rather than merely displaced.
Hardest push from Lenny ▶ 1:21:39 Lenny counters the antitrust default framingLenny challenges the notion that Google's Apple deal is purely an anti-competitive block, citing Ben Thompson's analysis that the deal is a revenue-share model open to anyone with comparable ad monetization.
Biggest teaching moment ▶ 1:37:20 Eli breaks down why keyword research tools failEli systematically demonstrates why bottom-up keyword estimates are wildly inaccurate and explains how to build reliable top-down TAM forecasts using demographic data and market penetration.
Lenny holds their own ▶ 38:36 Lenny reframes SaaS conversion mechanicsLenny intervenes to clarify the core distinction between intent discovery and buying motion, demonstrating deep domain knowledge about why enterprise SaaS requires human sales rather than self-serve SEO.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Lenny as informed peer | Guest teaching | Guest disagreement | Lenny pushing back | Why |
|---|---|---|---|---|---|---|
| Shifting Mindsets: From SEO Tactics to Product Strategy | 3 | 3 | 1 | 0 | Lenny opens the interview by setting up the premise that AI answers are shaking up search results. Eli agrees and shares an anecdote about how an executive once reduced SEO to mere keyword stuffing and link-building. | |
| Sponsor Message: Pendo | 0 | 0 | 0 | 0 | Lenny reads sponsor advertisements for Pendo and Brave Search. This is an ad segment with zero conversational power dynamics. | |
| Google's AI Dilemma: ChatGPT, SGE, and AI Overviews | 3 | 4 | 2 | 1 | Eli breaks down Google's defensive reaction to OpenAI, detailing the launch of SGE and AI Overviews, liability risks, and rollout hurdles. Lenny prompts with foundational questions while Eli lays out the market timeline. | |
| The Search Funnel Shift: Top-of-Funnel Erosion and Mid-Funnel Value | 4 | 6 | 5 | 2 | When Lenny suggests AI overviews push links down and make content harder to find, Eli directly counters the premise, arguing that content becomes less relevant rather than just buried, shifting value from top-of-funnel to mid-funnel. | |
| The Realities of AI Impact: Structured vs. Unstructured Data | 4 | 5 | 3 | 1 | Lenny shares an anecdote about his Hanukkah website being made obsolete by instant answers, which Eli quickly reframes to differentiate between structured data and LLMs turning unstructured content into direct answers. | |
| Disruption of Affiliate Directories and Meaningful Metrics | 4 | 4 | 2 | 1 | Eli explains how software aggregation directories like G2 and Capterra face existential disruption from conversational AI answers. Lenny endorses the improved user experience of getting straight answers without wading through SEO junk. | |
| Product-Led SEO: Why Product Managers Must Own Search | 4 | 5 | 3 | 1 | Eli argues that SEO must be owned by product managers rather than marketers, explaining that creating content for a defective product will never convert search users on self-discovery journeys. | |
| Case Studies: Zapier's Integrations and Tinder's Local Solutions | 3 | 6 | 1 | 0 | Eli shares detailed case studies from his consulting work with Zapier's app integration landing pages and Tinder's localized loneliness-solution pages, explaining how both targeted mid-funnel intent. | |
| A Three-Step Framework for Building Product-Led SEO | 4 | 5 | 2 | 1 | Eli outlines a practical three-step framework: cultivate customer empathy, define the programmatic asset, and design a product experience around search intent. | |
| Why Most B2B SaaS Companies Should Avoid SEO | 6 | 4 | 4 | 5 | Eli makes the contrarian claim that most B2B SaaS companies should avoid SEO because complex software requires committee buying. Lenny pushes back with nuance, clarifying that while users do search for solutions like SOC-2 compliance, the sales motion makes self-serve conversion unviable. | |
| Evaluating Costs, Trade-Offs, and Channel Fit | 5 | 5 | 3 | 2 | Eli breaks down the real expenses of SEO resourcing and argues restaurant websites are often a waste of money. Lenny synthesizes the trade-offs across core growth engines like paid, sales, virality, and SEO. | |
| Measuring SEO Success: Timelines, Conversion Metrics, and Quora | 4 | 6 | 3 | 1 | Eli dismisses vanity traffic and ranking metrics in favor of actionable business conversions, sharing how restructuring Quora's sitemaps and un-gating answers quadrupled their organic traffic in three months. | |
| Building Monetizable Journeys: Templates and Programmatic Utilities | 4 | 5 | 2 | 1 | Eli warns against blindly copying programmatic template strategies from companies like Canva or SurveyMonkey unless those templates directly feed a clear monetization loop. | |
| Sponsor Message: OneSchema | 4 | 4 | 2 | 1 | Following a sponsor segment with Christina Gilbert of OneSchema, Eli and Lenny explore the explosion of low-quality AI generated content and why Google penalizes unhelpful content rather than AI assistance per se. | |
| Brand Authority in AI Overviews and Modern Link Building | 4 | 6 | 4 | 1 | Eli attacks traditional link-building schemes and paid guest posting as useless myths, explaining that modern search algorithms treat brand mentions and genuine PR as the real ranking signals. | |
| Programmatic vs. Editorial SEO: TripAdvisor, Zillow, and Scale | 4 | 5 | 2 | 1 | Eli illustrates the difference between programmatic and editorial SEO using TripAdvisor and Zillow as prime examples of combining structured datasets to satisfy user search intent at scale. | |
| Unpacking the Google Antitrust Ruling and Search Distribution Power | 7 | 4 | 3 | 6 | Eli shares findings from the 286-page Google antitrust verdict regarding mobile market share and default distribution deals. Lenny pushes back with sharp analysis from Ben Thompson, demonstrating how Apple's default deal is a revenue-share model rather than an outright exclusive barrier. | |
| Why SEO Will Endure: The Human Need for Choice | 4 | 5 | 2 | 1 | Eli explains why AI chat assistants won't eliminate search, emphasizing that human consumers demand multiple choices and comparisons rather than a single prescriptive AI recommendation. | |
| Debunking Common SEO Myths: Black Boxes and In-House Resourcing | 4 | 5 | 3 | 1 | Eli debunks common SEO myths, asserting that Google is not an impenetrable black box and that most sites can achieve 80% of optimal SEO by simply following basic best practices. | |
| Gen Z Search Behavior: TikTok and Instagram vs Google Intent | 4 | 5 | 3 | 2 | Eli addresses the claim that Gen Z searches solely on TikTok, explaining that video platforms serve top-of-funnel discovery while Google captures commercial mid-funnel intent. | |
| The Limits of Technical SEO: Why Simplicity Wins | 6 | 4 | 2 | 1 | Eli argues technical SEO audits and page speed micro-optimizations are rarely the solution for smaller sites. Lenny validates this insight by sharing his firsthand experience with PMs driving massive SEO wins at Airbnb without dedicated SEO specialists. | |
| SEO TAM Forecasting: Top-Down Modeling vs Flawed Keyword Tools | 4 | 8 | 4 | 2 | Eli delivers a masterclass on forecasting organic search demand, proving that keyword tools are frequently off by orders of magnitude and detailing how top-down population TAM modeling produces vastly superior business forecasts. | |
| Advice for Aspiring Growth Advisors | 3 | 4 | 1 | 0 | Eli offers guidance for operators transitioning to growth advising, urging them to develop consultative sales, proposal writing, and client management skills while keeping their full-time jobs. | |
| Lightning Round: Influential Books, Blackberry, and Phone Utilities | 3 | 3 | 1 | 0 | In the lightning round, Eli shares book recommendations, his appreciation for the movie BlackBerry, his favorite mobile travel apps, and his wife's self-help book. |