Dec 1, 2022 · 1h 30m · lennys-podcast
The ultimate guide to SEO | Ethan Smith (Graphite)
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In this masterclass on Lenny's Podcast, Graphite CEO Ethan Smith provides a comprehensive playbook on scaling organic search, covering investment timing, programmatic and editorial content strategies, and modern ranking mechanics like topical authority.
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 21.9% of the talking time here. How this is scored →
Lenny as informed peer 3.5 Guest teaching 5.6 Guest disagreement 1.3 Lenny pushing back 0.2
speaking balance: gold is Lenny, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 1:24:52 Ethan rejects ungrounded AI content generation
Ethan firmly dismisses the trend of using LLMs to spam auto-generated articles, citing dangerous hallucinations and false factual claims when models lack structured underlying data.
Hardest push from Lenny ▶ 14:36 Lenny clarifies organic search versus non-search traffic requirementsLenny pauses the discussion to verify Ethan's benchmark, challenging the premise to clarify whether the required baseline traffic comes from search engines or direct and paid channels.
Biggest teaching moment ▶ 1:10:45 Ethan explains topical entity graphs via the jello shots case studyEthan provides a masterclass on semantic search graphs, demonstrating how Google awards topical authority to adjacent entities across an entire domain rather than relying on direct page backlinks.
Lenny holds their own ▶ 48:58 Lenny synthesizes programmatic hiring with Gokul Rajaram's talent heuristicLenny demonstrates his own deep operating pattern recognition by connecting Ethan's specialized recruiting tactic directly to Gokul Rajaram's proven hiring frameworks.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Lenny as informed peer | Guest teaching | Guest disagreement | Lenny pushing back | Why |
|---|---|---|---|---|---|---|
| Ethan Smith's Career Journey and the Founding of Graphite | 2 | 2 | 0 | 0 | Lenny opens the interview with standard context-setting questions regarding Ethan's background and Graphite's origin. Ethan shares how his early UX career evolved into SEO consulting and founding an agency. | |
| Debunking Common SEO Myths: Technical Audits vs Content | 3 | 5 | 3 | 0 | Ethan immediately rejects the value of standard technical SEO audits, labeling them a low-value commodity and framing growth around editorial and programmatic strategy instead. Lenny actively listens and sets the agenda. | |
| Determining SEO Timing: Market Size and Authority Signals | 4 | 7 | 2 | 2 | Lenny clarifies Ethan's rule of thumb regarding traffic requirements, initially misunderstanding it as organic search traffic. Ethan clarifies that Google specifically looks for non-search traffic as an authority signal. | |
| Assessing Product Characteristics: Impact vs Scope in SEO | 4 | 5 | 1 | 0 | Lenny prompts Ethan to break down product characteristics like UGC and catalog size. Ethan delineates the exact boundaries between programmatic, editorial, and technical SEO based on scope and impact. | |
| Exemplary Editorial SEO Case Studies: MasterClass, BetterUp, Dotdash | 3 | 3 | 0 | 0 | Lenny asks for high-performing case studies. Ethan provides concrete examples from his portfolio (MasterClass, BetterUp) and external benchmarks (NerdWallet, Dotdash). | |
| Executing High-Impact SEO: Intent Analysis and Page Archetypes | 3 | 6 | 1 | 0 | Ethan outlines his rigorous methodology for reverse-engineering page archetypes from search intent, giving the example of MasterClass requiring articles rather than video transcripts to rank for recipes. | |
| Google's Real Ranking Signals: Click-Through and Dwell Time | 3 | 7 | 2 | 1 | Lenny frames SEO as cracking Google's secret crawling algorithm. Ethan reframes this around real-time user engagement signals, revealing how Google measures bounce-back and dwell time via Chrome and Android data. | |
| Architecting Page Indexation: Quality Filters and Semantic Grouping | 3 | 6 | 1 | 0 | Ethan contrasts old e-commerce practices of launching millions of thin query-based category pages with Google's modern requirement for semantic topic grouping and index quality thresholds. | |
| Topic Clusters vs Keyword Targeting: Maximizing Search Breadth | 3 | 7 | 1 | 0 | Ethan demonstrates how a single topic cluster ranks for 200 to 2,000 keyword variants, showing how MasterClass outranked Food Network by capturing missing subtopic intents like health benefits. | |
| Prioritizing Topics: Competitor Analysis and Conversion Intent | 4 | 5 | 1 | 0 | Ethan walks through the exact tooling stack (Google Search Console, Clearscope, Ahrefs, internal software) used to reverse-engineer competitor keyword clusters and prioritize topics by conversion intent. | |
| SEO Feedback Loops: Timelines, Leading Indicators, False Negatives | 4 | 6 | 1 | 0 | Lenny questions whether long SEO feedback loops make it a poor channel for startups. Ethan provides specific leading indicators (moving from rank 15 to 8 to 5) to diagnose progress before conversions occur. | |
| Sponsor Message: Lemon.io On-Demand Software Engineering Talent | 5 | 5 | 1 | 0 | Following the mid-roll ad, Lenny asks how to hire for programmatic versus editorial SEO. Lenny contributes valuable insight by mapping Ethan's sourcing method to Gokul Rajaram's hiring principles. | |
| Day-to-Day Programmatic Execution and SEO Experimentation | 3 | 6 | 1 | 0 | Ethan breaks down the daily operational rhythm of programmatic SEO, cautioning that premature A/B testing is counterproductive before establishing a solid page base and analyzing domain-level changes. | |
| Building an Editorial Engine: Strategy Outlines and Production Velocity | 4 | 6 | 2 | 1 | Lenny brings up Datadog hiring engineers to write posts. Ethan agrees high quality matters but insists that without structured keyword outlines and Clearscope optimization, writers will miss vital search demand. | |
| Dominant Web Page Archetypes and Information Architecture | 4 | 5 | 1 | 0 | Lenny asks how to structure core archetypes. Ethan classifies the taxonomy into category, item, UGC, article, and tool pages, explaining how search result overlap determines whether to split or combine topics. | |
| Filtering SEO Advice: First-Principles Data and Peer Networking | 4 | 5 | 2 | 0 | Ethan advises against blindly trusting Google PR or generic blog advice, urging practitioners to derive first-principles hypotheses from competitor data and backchanneling with experienced heads of SEO. | |
| Overcoming Organizational Bottlenecks: Product-Led SEO Alignment | 3 | 6 | 2 | 0 | Ethan reveals that organizational dysfunction and resource bottlenecks are the main reason SEO initiatives fail, advocating for Eli Schwartz's product-led SEO approach to bridge the gap with engineering. | |
| Topical Authority, Entity Adjacency, and Semantic Knowledge Graphs | 3 | 8 | 1 | 0 | Ethan explains modern semantic knowledge graphs and entity adjacency, illustrating how a viral jello shot post passed domain-wide authority to unlinked whiskey and vodka recipes. | |
| Unlocking Growth with Internal Link Architecture and Flat Graphs | 4 | 8 | 2 | 1 | Ethan exposes internal linking as the single highest ROI lever, showing why typical recommendation or facet widgets create deep link power curves and explaining how flat graphs drive 25% to 100% traffic lifts. | |
| The Intellectual Fulfillment and Mindset of Modern SEO | 4 | 6 | 3 | 0 | Lenny asks about the wave of startups using GPT-3 to programmatic generate content. Ethan strongly warns against ungrounded AI text generation due to factual hallucinations, while endorsing AI for keyword clustering. | |
| Actionable Next Steps: Evaluating Your Company's SEO Opportunity | 3 | 3 | 0 | 0 | Lenny and Ethan wrap up with actionable next steps for founders to audit their market size and authority, closing with Ethan praising Lenny's operator-first interview format. |
Statements from this episode (37)
Smith: Effective SEO requires integration with core product changes
“To do SEO well, I think it needs to fit into a broader product context and a lot of what's effective in SEO is actually making core product changes.”
Ethan Smith: SEO growth is driven by programmatic and editorial content, not bug fixing
“Technical SEO is mostly internal link architecture and a few other things and bugs, but that's not how you grow. The way that you grow is with programmatic and with editorial SEO.”
Smith: Google treats non-SEO traffic as a core authority signal
“Google doesn't want you to just be an SEO site and they want you to be a credible domain before they rank you. And if you're starting from zero, they don't have enough signals that you are. So the way that we assess that is I will go into the first signal I'll…”
Smith: Companies need 1,000 daily non-SEO visits before prioritizing SEO
“I'll put the domain in, I'll look at the total traffic and I'll want to see at least I would say 1000 visits a day, roughly for non SEO. At least you have five visits that that that's very little. And then the second thing I'll look at is the number of referri…”
Ethan Smith: Built-in UGC and product data drastically reduce SEO competition scope
“So if you have no content at all and no UGC, then scope is higher to compete in the address for market. If you have a ton of UGC like Glassdoor, then scope is lower. So the more UGC you have, the more like for Zillow, the more addresses you have for a shopping…”
Ethan Smith: Editorial SEO has overtaken programmatic SEO in traffic generation
“Editorial SEO is more and more actually driving more traffic than programmatic SEO. Programmatic SEO used to be almost all SEO when I started and editorial SEO has overtaken that.”
Ethan Smith: Editorial SEO is viable for every company, programmatic is not
“Editorial SEO is always an opportunity for every single company. If there's a addressable market and programmatic SEO is sometimes an opportunity.”
Ethan Smith: Dotdash is probably the most successful editorial SEO company
“Dash is a conglomerate of many different publishers, like Allrecipes and Investopedia, and they consistently over and over again perform really well. They're probably the most successful editorial SEO company.”
Ethan Smith: Video transcripts fail to rank for instructional queries against articles
“So for masterclass, you type in how to poach an egg and you see that all the results are articles with a recipe. That's a very clear correlation that if I want to rank, I need a page like this. So with masterclass is an interesting example. They have classes a…”
Ethan Smith: Product pages cannot rank for comparative category queries
“And so an example would be a best cameras. So you'll have a category page and a listicle page typically. So you could have one or one or the other, but you will need one of those. If you have a product page, you're not gonna rank.”
Smith: Higher user engagement increases Google search rankings immediately
“Your engagement will be higher and your entire engagement will cause you to rank higher and it'll cause you to rank higher right away. So it's not only a way to be robust against algorithm changes. It's a way to rank higher right now.”
Smith: Pogo-sticking back to search results is a negative ranking signal
“So you clicked on my page, then you went back and you clicked on somebody else. That's a very bad signal. So that's engagement on google.com.”
Smith: Google tracks post-click dwell time via Chrome and Android for ranking
“Google's tracking everyone through Chrome and Android, and they can actually see what happened after they left Google. And ultimately Google wants you to end your session or find the answer, find what you wanted on that page. So the more you click on, on our U…”
Ethan Smith: Creating individual pages for every keyword variation no longer works
“You don't want a page for every single keyword. So when I started in SEO, you would have a category page for every single keyword. And so I was at a shopping site. We had ten million plus pages. So every single way that you could possibly search for a product …”
Smith: A single web page typically ranks for 200 to 2,000 keywords
“And so there's typically about any given page is typically going to rank or be able to rank for about 200 to 2000 different keywords.”
Smith: Aggregate topic search volume is at least 10x single keywords
“And so if you think the, if the search volume for best cameras is a thousand, the topic of best camera is probably a 100,000. So it's probably 10 X at least the search volume of the keyword.”
Smith: MasterClass outranked Food Network by closing topic content gaps
“And part of why Masterclass early on was able to outrank Food Network, who has way more, who had way more authority in, in food is because other companies had these gaps. They were not looking at all 400 keywords and they didn't talk about health benefits and …”
Smith: SERP overlap determines whether keywords should share a page
“You can basically put in five year plan template, five year plan examples, and you can look to see how much overlap of the results are there. So the, if the results are completely different for those two keywords, you should probably have two different pages, …”
Ethan Smith: Clearscope is the best content analysis and scoring tool
“So there's a bunch of different tools for content analysis, content scoring. ClearScope is the best one and ClearScope will tell you what I talked about subtopics and, you know, comprehensive content.”
Ethan Smith: No commercial SEO tools exist for topical authority
“We have internal tools for things like what subtopics You need topical authority. There just aren't tools for that. So we basically built some in-house and we use that for when we're building strategies.”
Smith: SEO results take six to nine months, faster for authoritative sites
“It depends, but usually I'll say six to nine months. But it's a function of how much authority you have and how much existing SEO traction you have. The more authority you have and the more traction, the faster it is. So if a company like Netflix makes a chang…”
Smith: Large optimized sites see SEO results within one to four weeks
“For a large site, like a Ticketmaster and eBay, it's probably one to four weeks is the rough timeline once you're really optimized.”
Smith: Programmatic SEO is easier at brand names than lesser-known companies
“It's easier to do programmatic SEO at a well-known brand name company. It's harder to do at a company that, that isn't well-known.”
Smith: SEO hypotheses come from competitor analysis, not brainstorming
“Testing validates a hypothesis, but the hypotheses come from analyzing other people's sites and analyzing my own site. So that's where the valuable qualified hypotheses of what is probably working comes, comes from. It's not from brainstorming. The test valida…”
Smith: New SEO initiatives should launch before testing in month six
“If you're starting from zero and nothing exists, then you shouldn't be testing things. It should be launching things. Should be testing things once things have launched. So testing is something I would do at like month six or later. The beginning should be aro…”
Smith: Editorial SEO Requires Far Less Prior Experience Than Programmatic SEO
“It doesn't have to be a, you know, an SEO expert with deep expertise. Programmatic is where you'd want a lot of expertise over years. An SEO, but on the editorial side, you can actually pick it up if you have the right workflow and the right tools.”
Smith: Minimum Viable Editorial SEO Team Is One Strategist and One Writer
“One SEO person and one writer is the smallest groups that you could have that, that would be able to do this effectively.”
Smith: A few page archetypes cover 90% of all SEO use cases
“There's a few pages that cover probably 90% of all use cases.”
Smith: Spin underperforming subtopics out into dedicated standalone articles
“And if there's some theme where you did cover it, but you're not ranking quite as well as you want to. Break out that section of health benefit and then have a separate article for that.”
Smith: Treat Google Statements and SEO Advice Only as Testable Hypotheses
“So Google is a source of hypotheses to test. Analyzing other sites, something that someone said, something that another SEO person said, these are all hypotheses, but ultimately you want to test them.”
Smith: TripAdvisor Consistently Outperformed Other Sites in International SEO
“And so I did an analysis where I looked at every company and which companies had repeated success outside of the United States. So eBay, TripAdvisor, a bunch of other sites. And there were clear patterns that TripAdvisor consistently outperformed over and over…”
Smith: Smaller sites can outrank high-authority competitors via focused topical authority
“And this is actually a great way where earlier companies can actually rank, even if their competitors have way more domain rank than they do. Because again, Google's saying for a fintech site, maybe you don't have as much authority as Investopedia, but you're …”
Smith: Google builds semantic topic graphs dynamically, not via curated taxonomies
“I think people over, overestimate the amount of expert curated taxonomies that Google uses, and it's actually a lot of Algorithmic dynamics, definitions of a graph that are generated constantly. And again, they change.”
Smith: SEO architecture requires a flat link graph, not a hierarchical tree
“You don't want a hierarchical tree structure. You actually want a very flat graph.”
Smith: Fixing internal link distribution typically yields a 25%+ traffic lift
“Consistently we'll see if you don't have good link spread, fixing it has significant opportunity, typically, 25% plus opportunity, even like a hundred percent opportunity sometimes if your links are really under optimized.”
Smith: In-body links carry far more SEO weight than footer and navigation links
“Footer links are not equal to body links. So links in the nav and in the footer are navigational links and they count, but they don't count as much. So Google will look at your page and separate out navigation, but body links count a lot.”
Ethan Smith: AI should assist SEO research workflows, not autonomously generate articles
“Where AI is really useful is actually all the other stuff that I talked about. So if you think about the workflow of creating content and start with, what should I be writing about? What are the subtopics? So like, 300 different keywords. What are the sub them…”