Lenny's PodcastEli Schwartz: Why AI is killing top-of-funnel SEO content
Through Zapier integration and Tinder local pages, Eli Schwartz: reframes SEO as a product job, where rankings without conversions are vanity metrics.
CHAPTERS
- 0:00 – 2:57
AI Overviews change the click: why “winning the #1 blog post” is fading
Lenny and Eli open with the core disruption: AI-generated answers now sit above the traditional list of links, changing what it means to “win” SEO. Eli reframes the moment as an opportunity to move SEO away from shallow keyword/content races toward more meaningful user outcomes.
- •AI answers reduce the value of being the top long-form result for broad queries
- •SEO is shifting from “first click wins” to “solve the next step in the journey”
- •Eli’s core framing: SEO should be treated as a product problem, not a marketing trick
- •Early warning: if you can’t articulate what users would search for, don’t do SEO
- 2:57 – 6:45
Eli’s path to Product-Led SEO: why traditional SEO tactics weren’t enough
Eli shares the pivotal moment that reshaped his approach: a CEO boiled SEO down to keywords, content, and links—and wasn’t wrong. That realization pushed Eli to focus on what SEO traffic means for the business and how to build durable SEO strategy beyond tactics.
- •The “SEO is just keywords + content + links” wake-up call
- •Why the same tactics worked historically—and why that mindset is now fragile
- •Repositioning SEO as a strategy tied to user needs and business outcomes
- •The broader lesson: tactics don’t equal a growth engine without product alignment
- 6:45 – 11:34
What actually changed in search: ChatGPT pressure, Google’s rollout, and the hard problems
Eli explains why Google moved (and why it moved carefully) after ChatGPT: investor pressure, product expectations, and competitive narrative. He breaks down SGE/AI Overviews and the practical constraints Google faces—monetization, liability, and plagiarism.
- •ChatGPT forced Google to respond publicly and rapidly
- •SGE → AI Overviews: “ChatGPT in the search result”
- •Key constraints: ads monetization conflicts, legal liability, plagiarism concerns
- •Why Google tested longer than usual and then expanded rollout aggressively
- 11:34 – 18:06
Top-of-funnel gets absorbed; mid-funnel becomes the new SEO battleground
Eli and Lenny distinguish between discovery searches and intent-driven searches. AI Overviews are best at summarizing broad, ambiguous questions, pushing SEO opportunity toward mid-funnel queries where the user needs to act, compare, or decide.
- •AI Overviews are strongest at broad discovery questions
- •The user journey changes: AI suggests directions, users then research deeper
- •Mid-funnel is where SEO still matters because actions/conversions happen there
- •Examples: travel inspiration vs. booking/decision-stage searches
- 18:06 – 23:20
Structured vs. unstructured data: Google has been “answering in SERP” for years—now it scales
Using Lenny’s Hanukkah website story, Eli explains the difference between structured facts (easy for Google to surface) and unstructured content (historically monetized by publishers). AI turns unstructured content into structured answers, threatening information-only sites.
- •Structured data (dates, facts) is easy for Google to surface directly
- •AI now extracts and synthesizes unstructured content into direct answers
- •This benefits users—but reduces value for content publishers
- •Illustration: medical symptom content vs. action-oriented searches (doctor/location)
- 23:20 – 26:10
Treat SEO like a product: build for a search user who won’t be reached by ads or social
Eli lays out his central thesis: SEO is a product experience designed for users arriving via self-discovery. He argues product managers should co-own SEO because winning requires building pages/features that match the buyer journey—not just publishing content.
- •SEO as a product question: what experience should search users land on?
- •The mismatch: marketing tries to retrofit SEO onto a product that doesn’t fit
- •The goal is mid-funnel alignment: solve what the user is trying to do next
- •Anti-pattern: writing thousands of blog posts when the product experience is weak
- 26:10 – 31:30
Case studies: Zapier and Tinder as “journey-first” SEO (and why AI doesn’t break them)
Eli shares concrete examples of product-led SEO: Zapier’s integration pages and Tinder’s city-based dating pages. The key is that these pages solve an intent-driven problem, so even with AI summaries, users still click to take action.
- •Zapier: programmatic pages for app-to-app workflows users actively search for
- •Tinder: localized pages framed around solving loneliness in a new city
- •Why AI Overviews don’t kill these strategies: they don’t complete the action
- •Execution lesson: SEO wins require resourcing and shipping, not just planning
- 31:30 – 39:17
How to start SEO: step-by-step (and when not to do it at all)
Eli gives an onboarding framework: become the user, define what asset to build, then ship a product-like SEO experience with proper resources. He also explains why many SaaS companies shouldn’t do SEO—especially when the purchase journey is sales-led or committee-driven.
- •Step 1: build user empathy—what problem triggers the search?
- •Step 2: decide the asset (often programmatic vs. editorial)
- •Step 3: build it like a product (design, engineering, PM, research)
- •Red flag: if you can’t name the search a user would do, skip SEO
- •SaaS counterexample: Mixpanel-style integration + sales motion limits SEO ROI
- 39:17 – 46:29
Is SEO worth it? Real costs, ROI tradeoffs, and choosing the right growth engine
Eli challenges the myth that SEO is “free” and walks through the fully-loaded cost of doing it well: agencies, headcount, tooling, engineering, and content. He argues SEO decisions should be made like any other investment—compared against paid, brand, influencers, events, and sales.
- •SEO costs: time, people, agencies, tooling, engineering/design support
- •Evaluate payback speed: can SEO return dollars soon enough for your stage?
- •Tradeoffs: the same budget may outperform in other channels
- •Examples of “don’t do SEO”: Google Cloud-type sales cycles; local restaurants vs. Maps/marketplaces
- 46:29 – 59:23
Measuring SEO correctly: conversions over traffic, timelines, and product-roadmap milestones
Eli argues most SEO reporting is broken because it centers on rankings and traffic instead of business impact. He recommends defining the conversion metric that matters (MQLs, purchases, ad revenue) and evaluating progress via roadmap milestones like indexing and shipping velocity.
- •Traffic alone is often meaningless; conversions must anchor success
- •Rankings can be a vanity KPI unless tied to business outcomes
- •Time horizon varies: big brands can see impact fast; others take months/years
- •Use product-style milestones: ideation → PRD → build → indexation targets
- •Fast win example: Quora quadrupled traffic by exposing answers and improving crawl paths
- 59:23 – 1:16:04
AI in SEO execution: when AI content helps, AI Overviews as branding, and programmatic vs editorial
Eli explains how to use AI safely: as a tool to create helpful content that supports a real journey, not to mass-produce “slop.” He also reframes AI Overviews as a branding surface, then clarifies programmatic vs. editorial SEO with TripAdvisor/Zillow examples and warns against scaling pages without a real use case.
- •AI content isn’t inherently bad—unhelpful content is
- •Good AI uses: product descriptions and utility content tied to conversion
- •AI Overviews: showing up as a brand mention is valuable; links may just mean content extraction
- •Brand building beats “link building”; mentions may matter more than HTML links
- •Programmatic SEO: data-driven pages (TripAdvisor, Zillow) vs. costly editorial at scale
- •Checklist: only go programmatic when there’s real demand + page-level usefulness
- 1:16:04 – 1:26:16
Google’s dominance and the antitrust verdict: defaults, habit, and why SEO isn’t dying
Eli summarizes key learnings from the Google antitrust ruling: the court’s detailed understanding of ranking and ads, Google’s overwhelming mobile share, and the outsized impact of default distribution deals. He argues Google’s brand + distribution makes displacement unlikely, and that SEO persists because users need choice and action paths.
- •Verdict highlights: how ranking and ad auctions work; social isn’t a substitute for search
- •Market share shock: Google at ~98% of mobile searches (per the ruling)
- •Defaults and habit drive dominance; challengers struggle even with better products
- •TikTok is top-of-funnel discovery; mid-funnel action still returns to Google
- •Core conclusion: SEO changes shape, but doesn’t disappear—actions still need destinations
- 1:26:16 – 1:55:09
SEO myths, forecasting, and building an SEO career: what to stop believing
Eli debunks common misconceptions: “every startup must do SEO,” “links are the secret,” “technical SEO fixes everything,” and “Google is pure black box.” He also shares a practical forecasting approach (top-down TAM-style over keyword-tool bottoms-up) and closes with advice on becoming an SEO/growth advisor and a lightning-round wrap.
- •Myth: raising money means you need SEO—validate the journey first
- •Myth: link building = buying guest posts; real links come from brand-building
- •Myth: technical SEO/page speed is a universal lever (it’s situational)
- •Forecasting: keyword tools are often wildly wrong; use top-down market logic
- •Career advice: advising requires sales/communication muscles, not just operating skill
- •Lightning round highlights: books, tools (Grammarly), and proudest SEO win (Tinder)
