No Hacks: Web Strategy for the AI Age

Slobodan "Sani" Manić
  • 5.0 (7)
  • Marketing
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No Hacks is the weekly podcast about website optimisation, SEO, and web strategy in the age of AI search. If you work on websites and want to understand how AI agents, LLMs, and AI-powered search are changing everything, this is your show. Your next million website visitors won't be human. And most websites are completely unprepared. AI agents can't navigate them. LLMs don't cite them. Search engines no longer rank them the same way. Each week we dig into what's breaking, what's working, and what to do about it, covering AI SEO, AI Overviews, agent experience optimisation (AXO), CRO, structured data, and the future of organic search and discovery. Built for SEO professionals, web strategists, developers, and CRO specialists who'd rather adapt early than scramble later. Hosted by Slobodan Manic, consultant and speaker on Agent Experience Optimisation and AI-ready web strategy. New episodes weekly. Subscribe to the companion newsletter at nohacks.co/subscribe

  1. 6d ago

    226: Most Brands Are Chasing AI Visibility Backwards with Alisa Scharf, Chief AI Officer at Seer Interactive

    This week I welcome Alisa Scharf, Chief AI Officer at Seer Interactive, to the podcast, to ask the question she fires back at every client who walks in wanting to "win at AI visibility." Her answer flips the whole project: fix what the models get wrong about you before you chase the category terms. We got into her research on why lower-authority websites earn more citations, why LLMs recommend a brand only 2.3% of the time, and the gap nobody is tooling for: getting an agent to actually use your website, not find it. About the Guest Alisa Scharf is Chief AI Officer at Seer Interactive, where she runs the AI practice across the agency's client accounts. Her team's research spans hundreds of thousands of pages and tens of thousands of prompts, and she argues that citations are a leading indicator, not a business outcome. Chapters 00:00 - The first question Alisa asks a new client04:08 - Brand accuracy: what models get wrong about you06:57 - Defense wins championships09:54 - The brand accuracy audit13:12 - Why lower-authority websites get cited more15:57 - Citations are page two of Google19:37 - LLMs recommend a brand 2.3% of the time21:49 - The agentic browsing tooling gap28:13 - Losing 30-80% of organic traffic37:31 - How a 15-year-old brand catches up40:24 - What we will get wrong in 12 months43:18 - Where to find AlisaKey Takeaways Defense before offense. Pick five factual prompts about your own company, founding, location, what you sell, who you compete with, and run them across ChatGPT, Claude, and Gemini. Fix what the models get wrong before you spend a dollar chasing category terms.Citations are a leading indicator, not a result. They swing by month and by model. Real success shows up in direct traffic, branded search, and brand recognition, none of which sit neatly on a dashboard.Visibility is not readiness. Getting cited and getting an agent to actually buy, book, or provision on a customer's behalf are two different problems. Most providers sell the first and call it the second.Notable Quotes "You can flip an old house and turn it into a really impressive place to live. You can't flip an old house and turn it into a skyscraper." "Everything we just spent the last 10, 15, 20 years learning is now doing you a disservice, because you really have to turn to a fresh page and say, where is my audience?" Resources Seer Interactive: https://www.seerinteractive.comSeer insights and research: https://www.seerinteractive.com/insightsNo Hacks EP 222, Wil Reynolds, AI visibility is a vanity metric: https://nohacks.co/episode/222-ai-visibility-is-a-vanity-metric-with-wil-reynoldsNo Hacks EP 225, Matt Biilmann on agent experience: https://nohacks.co/episode/225-every-website-already-has-an-agent-experience-and-most-are-bad-with-netlify-ceo-matt-biilmannSparkToro: https://sparktoro.comConnect with Alisa Scharf LinkedIn: https://www.linkedin.com/in/alisascharf/X: https://x.com/alisa_scharfBio: https://www.seerinteractive.com/people/team/alisa-scharfNo Hacks is a publication about the agentic web. Articles, a weekly podcast, and a newsletter for SEO, CRO, and web professionals who want to stay visible, trusted, and findable as agents take over. Hosted by Slobodan "Sani" Manic. Subscribe at https://nohacks.co/subscribe

    47 min

  2. May 20

    225: Every Website Already Has An Agent Experience And Most Are Bad With Netlify CEO Matt Biilmann

    The user-agent string in the HTTP header has been there since the 1990s. The web was built with software navigating it on someone's behalf. For thirty years that someone was a human. That changes now. Matt Biilmann, CEO and co-founder of Netlify, was one of the first to take seriously what it means when the "user" navigating the web is an AI agent.  He published the foundational essay on Agent Experience in January 2025, pivoted his entire company around it, and recently shipped netlify.ai as a separate entry point built for agents. We cover the four pillars of Agent Experience, why every product already has an agent experience whether you designed one or not, content negotiation as a way to tell agents to go to a different URL than humans, why SaaS is in real trouble (with a story from inside Netlify about ripping out vendor contracts), how the data-structure assumption that has defined software for fifty years is breaking, and the one thing every website owner should start doing this week. About the Guest Matt Biilmann is the CEO and co-founder of Netlify, the platform that started the Jamstack movement and is leading the shift from developer experience to agent experience. His January 2025 essay on Agent Experience is the foundational text for the discipline.  Chapters 00:00 Every product has an agent experience (cold open)00:35 The architectural question01:46 Welcome Matt to No Hacks02:15 When AX became a design constraint, not a concept06:44 The January 28 2025 essay and who got it first10:22 Why netlify.ai was built as a separate website12:44 Content negotiation: telling agents to go to a different URL13:54 Qualitative data and the Axis eval framework17:12 Does AX apply to e-commerce and content websites?20:59 The cumulative media argument (TV did not kill radio)25:00 User-agent in HTTP and Al Gore-era agent commerce laws26:33 SaaS business model is dead: build-vs-buy is shifting30:44 The end of structured content as a hard constraint40:25 One thing every website owner should do now43:08 Where to find Matt onlineKey Takeaways Every website already has an agent experience. Agent Experience is how AI agents currently interact with your product, whether through computer use, fetching, or working around the barriers you put up. It is not a feature you add. The only question is whether the experience is good or bad.The four pillars: Access, Context, Tools, Orchestration. Matt's framework for thinking about AX systematically. Access answers whether agents can reach your product at all. Context is the prompt-engineering equivalent for agents. Tools are the concrete capabilities you expose. Orchestration covers how agents string those tools together inside your product.Build a separate entry point for agents. netlify.ai is purpose-built for agents while netlify.com remains the human entry point. Content negotiation tells agents to go to one URL, humans see the other. The blessed-path approach beats trying to make one URL serve both.SaaS economics are shifting structurally. The build-vs-buy floor is dropping fast as AI lowers the cost of software. Traditional 90%-margin seat-based SaaS is in real trouble. Dev tool companies have upside because companies need more tools. Everyone else is going to be ripping out vendor contracts and building internally.The data-structure paradigm is breaking. Software engineering has operated on the Linus Torvalds principle that data structures matter more than code. LLMs are not built around data structures. Building software around LLMs means rethinking the assumption that drove fifty years of computer science.Notable Quotes "Every product has an agent experience because all of these agents, whether through computer use or through fetching your website or through working around the barriers you put up from them, have some agent experience right now. It is just a question of is it good or bad." "There is a reason it is called a user agent in the header. It was forward-looking." "We have been ripping out SaaS contracts. Sometimes it is heartbreaking. The rep calls to right-size the contract and the customer reacts with 'let me see if I can build it with an agent.' Then they call back and cancel instead." "The context and the flows and your creativity are probably more important than both the data structures and the code." What To Do Next Open your website in Claude Code or ChatGPT and ask the agent to complete a real task. Watch where it stalls. That is your AX baseline.Check your traffic logs for AI assistant visitors (ChatGPT-User, Claude-Web, PerplexityBot, GPTBot). The number is rising whether you measure it or not. Cloudflare reports AI assistants are now 5.5% of all internet traffic, up from 3.9% six months ago.Read Matt's January 28 2025 essay on Agent Experience at biilmann.blog as the starting point. Then read the one-year retrospective for the four pillars framework.If you operate a developer tool or any product with a clear automation surface, start a simple eval scenario: take a fresh agent, give it a task, score whether it succeeds. Axis from Netlify will give a proper framework when it ships open source.Resources Mentioned netlify.ai (the agent-built entry point Matt and team shipped recently)netlify.com (the human entry point)Matt's original Agent Experience essay, January 28 2025: biilmann.blogMatt's "AI in the CLI: The Humanoid Robot of the Web" (August 2025) Claude Code (the agent that flipped broad accessibility for CLI coding agents)Connect with Matt Biilmann Blog: biilmann.blogLinkedIn: linkedin.com/in/mathias-biilmann-christensen-a5a3805Twitter/X: @biilmann (x.com/biilmann)Bluesky: bsky.app/profile/did:plc:grjr4il5dredrsuj7nosb4pqMastodon: mastodon.social/@biilmannNetlify: netlify.com and netlify.aiConnect with No Hacks Website: nohacks.coSubscribe to the newsletter: nohacks.co/subscribeMachine-First Architecture: machinefirstarchitecture.comNo Hacks is a publication about the agentic web. Articles, a weekly podcast, and a newsletter for SEO, CRO, and web professionals who want to stay visible, trusted, and findable as agents take over. Hosted by Slobodan "Sani" Manic. Subscribe at https://nohacks.co/subscribe

    45 min

  3. May 14

    224: Google's OS-Level AI Agent: Building Samantha Into Android

    We are significantly closer to movie Her than we were just 6 months ago. Most coverage reads Google's last six months as a string of independent product updates. They aren't. Read together, they're the whole agentic-web stack closing one component at a time. Tuesday's Gemini Intelligence on Android announcement named the keystone - the first OS-level web-agent integration any company has built. Chrome auto-browse lands on Pixel 10 and Galaxy S26 in late June. This episode walks through the six-month assembly (Chrome auto-browse, AppFunctions, AI Mode in Chrome, "Ask Google", web.dev agent-friendly guidance, Gemma 4 + Gemini Nano 4, UCP, A2A, Gemini Intelligence Android, DeepMind AI Pointer), the durability question I can't fully answer yet (five-year moat or six-month head start before Apple closes it), and the audit any website needs to pass once an agent can operate it on a user's phone. Timestamps: 00:00 - 10 Google moves in six months04:53 - Walking the six-month assembly, January through this week06:51 - The full stack: action, agent-to-app, transaction, identity, distribution, input09:01 - Late June: what changes for a salon owner with a booking website10:32 - The durability question: Apple's six-month gap, not a five-year moat15:47 - Machine-First Architecture: three visitor classes you have to design for16:19 - Google's seven rules. nohacks.co passed six. Tailwind 4 broke one.17:32 - The test you can run today: disable JavaScript, try to complete a booking20:53 - A few days to fix it. The cost of waiting is unknown.Weekly breakdown of how the agent-web is assembling, every Wednesday: https://nohacks.co/subscribe The Machine-First Architecture framework: https://machinefirstarchitecture.com Sources mentioned in this episode: DeepMind AI Pointer (May 13): https://deepmind.google/blog/ai-pointer/Gemini Intelligence Android (May 12): https://blog.google/products-and-platforms/platforms/android/gemini-intelligence/Chrome auto-browse preview (January): https://blog.google/products-and-platforms/products/chrome/gemini-3-auto-browse/AppFunctions for Android (February): https://developer.android.com/ai/appfunctionsGoogle web.dev - "Build agent-friendly websites" (April): https://web.dev/articles/agent-friendly-websitesUniversal Commerce Protocol: https://ucp.dev/Related reading on No Hacks: Selling to AI: The Complete Guide to Agentic Commerce - https://nohacks.co/blog/agentic-commerceGoogle's Agent-Friendly Checklist Has 7 Rules. Tailwind v4 Breaks One. - https://nohacks.co/blog/google-agent-friendly-checklistAmazon v. Perplexity: The CFAA Case That Decides Whether AI Agents Can Visit Your Website - https://nohacks.co/blog/amazon-perplexity-cfaa-agent-visitor-rightsNo Hacks is a publication about the agentic web. Articles, a weekly podcast, and a newsletter for SEO, CRO, and web professionals who want to stay visible, trusted, and findable as agents take over. Hosted by Slobodan "Sani" Manic. Subscribe at https://nohacks.co/subscribe

    22 min

  4. Apr 22

    223: I Scored 33/100 on Cloudflare's New Agent-Readiness Scanner

    I ran the Cloudflare Agent Readiness scanner on nohacks.co, got 33 out of 100, and felt insulted. One toggle later the score was 67. That gap is where this episode starts. My case: the web is splitting into two economies. A retailer-friendly agentic web where AI-referred traffic now converts 42 percent better than human traffic. And a page-view-driven publisher web losing 20 to 90 percent of its Google traffic in a year. This split is structural, not a rebalancing. Chapters: 00:00 Opening00:41 The 33, then 67 score on nohacks.co02:46 The thesis: the web is becoming two webs03:55 Cloudflare Agents Week: 28 shipments in five days05:35 The data stack: Adobe 393%, the conversion inversion, publisher declines10:08 The mobile-first parallel11:21 Why this split is permanent13:12 The "publishers will adapt" and licensing-deal rebuttals17:02 Three sector-specific moves19:34 Closing: run the scanner, reply with your scoreKey Numbers Cloudflare shipped 28 agent-infrastructure pieces during Agents Week (April 13 to 17, 2026)AI traffic to US retailers grew 393 percent year over year in Q1 2026 (Adobe)AI-referred traffic converted 42 percent better than non-AI in March 2026, after converting 38 percent worse in March 2025Google traffic to publishers down 33 percent globally; some local publishers down 25 to 90 percentAutomated traffic growing 8× faster than human traffic year over yearThree Takeaways The split is structural, not a rebalancing. Retailers fit the agentic web because agents complete the same action the website wants. Page-view publishing does not, because the agent summarizes instead of sending a human to see an ad.The composite score is a trigger, not a target. Ignore the number. Read the per-check list and fix the signals that ship against real agent runtimes today.Watch the infrastructure before the mainstream catches up. The mobile-first rebuild shipped years before the indexing caught up. This is the same gap, different shape.What to Do Run isitagentready.com on your website. Toggle the category, re-run, compare.Transaction-driven revenue: agent readiness is tied to revenue. Fix the checks that ship against real agent runtimes now.Page-view-driven revenue: model your P&L with 30 percent less traffic this quarter. If it breaks the business, start diversifying today.Reply to the newsletter with your score. I read every reply.Sources Cloudflare Agent Readiness ScoreAdobe Q1 2026 AI Traffic Report via TechCrunchPublisher traffic drop (Press Gazette)What is the Agentic Web (nohacks.co)No Hacks is a publication about the agentic web. Articles, a weekly podcast, and a newsletter for SEO, CRO, and web professionals who want to stay visible, trusted, and findable as agents take over. Hosted by Slobodan "Sani" Manic. Subscribe at https://nohacks.co/subscribe

    22 min

  5. Apr 1

    222: AI Visibility Is a Vanity Metric with Wil Reynolds

    Wil Reynolds, founder of Seer Interactive, shares how losing 80% of organic traffic actually revealed that his team had been tracking the wrong metrics for years. We get into why AI visibility is a vanity metric, how 44% of LLM users include brand names in their prompts, the real security risks of wrong phone numbers in AI answers, and why trust (not visibility) is the only moat that matters. Chapters 00:00 - 80% traffic drop, pipeline went up06:43 - The pressure of experimental channels with real budgets08:28 - AI visibility is a vanity metric13:49 - People are tracking the wrong prompts17:15 - AI is getting your phone number wrong (and scammers know it)22:30 - Trust vs visibility: the real optimization target30:26 - Trust is a moat, hacks mortgage your brand32:20 - Be seen, be believed, be chosen44:15 - What digital marketers should do right now49:33 - Where to find WilKey Takeaways Traffic is no longer the leading indicator - Seer lost 80% of their organic traffic over two years. Pipeline went up. Social converts at 5x organic. The correlation between search traffic and revenue has broken for many businessesAI visibility is a vanity metric - When ChatGPT doubles the length of an answer, your "visibility" goes up without any more humans seeing you. If visibility grows but leads don't, you're the sucker. Track visibility against your pipeline, not in isolation44% of LLM users put brand names in their prompts - Wil's team watched real humans use LLMs and found nearly half include specific brands. Head-to-head brand comparisons are the prompts worth tracking, not generic category queriesTrust is the only real moat - Michelin built a restaurant guide in 1900 that still drives foot traffic and pricing power. RAMP launched 52 AI-generated restaurant pages in a day. One is rotisserie chicken made by a chef. The other is a chicken nugget. Both are chicken, but only one builds trustBe seen, be believed, be chosen - Visibility gets you in the room. But if people Google your team and nobody shares their content, if you're not speaking at conferences, if your newsletter has no engaged readers, belief falls apart. Trust transfers from people, not listiclesConcepts Discussed Three Types of AI Search | Search-led (web index + AI), answer-led (hybrid with tool use), and fully generative (training data only). Each requires different optimization.Training Data Lag | Gemini 3.1 launched with training data from January 2025, a 16-month gap. Work done since then has zero provable impact on training-data-based answers.Brand-in-Prompt Behavior | 44% of observed LLM users include brand names in their prompts. Changes the optimization target from "show up for generic queries" to "win head-to-head comparisons".Phone Number Hallucination | LLMs serve wrong phone numbers for businesses, creating fraud exposure. Especially dangerous for financial services targeting elderly customers.Recommended Stack Visibility | AI coding tools recommend tech stacks from training data. Being the default recommendation in Claude Code or Codex creates durable, hard-to-displace visibility.Connect with Wil Reynolds LinkedIn: linkedin.com/in/wilreynoldsLinkedIn Newsletter: Thinking Out LoudSeer Interactive: seerinteractive.comNo Hacks is a publication about the agentic web. Articles, a weekly podcast, and a newsletter for SEO, CRO, and web professionals who want to stay visible, trusted, and findable as agents take over. Hosted by Slobodan "Sani" Manic. Subscribe at https://nohacks.co/subscribe

    52 min

  6. Mar 25

    221: Machine-First Architecture: The Framework for Building Websites That Work for AI and Humans

    In 2009, Luke Wroblewski's "mobile first" changed how every website gets built. Start with the harder constraint, and the rest gets better. Now the harder constraint is not a small screen. It's no screen at all. Sani introduces Machine First Architecture, a four-pillar framework covering everything from how you define your business to how machines interact with your website. Identity, structure, content, interaction. In that order. Chapters 00:00 - Introduction: The Mobile First Parallel01:24 - Why Machine First Follows the Same Pattern05:09 - Pillar 1: Identity08:05 - Pillar 2: Structure12:34 - Pillar 3: Content15:20 - Pillar 4: Interaction19:29 - Why This Matters Now22:30 - One Action Per Pillar24:30 - ClosingKey Stats Brands on 4+ platforms are 2.8x more likely to appear in ChatGPT responses, but only with consistent identity (Digital Bloom)70%+ of Google's first page results use schema markupPages with 19+ verifiable data points averaged 5.4 AI citations vs 2.8 for pages with minimal data (SE Ranking, ~130K domains)96% of AI Overview content comes from sources with verified E-E-A-T signalsAI browser traffic to US retail sites increased 4,700% YoY in July 2025 (Adobe Analytics)Key Takeaways Machine first is the new mobile first. What works for a parser works for humans. The reverse is never true.Identity comes before optimization. You need a canonical, structured definition of your business before you touch anything else.Your website is a data model, not a wireframe. The page is a rendering of structured data. Machine-critical info goes at the top.Content must be answer-first and verifiable. Machines evaluate the first few hundred words. Vague marketing copy is invisible.Machines are not just reading your site, they're using it. Agents shop, book, and fill out forms. Visual-only confirmations and modal pop-ups break them silently.Every agent failure is invisible. The agent moves to a competitor. You never see the lost transaction.What to Do (One Action Per Pillar) Identity: Write your canonical definition as fields. Google your business name. Fix every platform that tells a different story.Structure: Disable JavaScript and visit your site. If content disappears, you're invisible to most AI crawlers.Content: Read the first paragraph of your key pages. If it doesn't state what the page is about, rewrite it.Interaction: Complete a core action on your site using only a screen reader. If you can't finish the flow, an agent can't either.Links Machine First Architecture: machinefirstarchitecture.comSubscribe: nohacks.co/subscribeNo Hacks is a publication about the agentic web. Articles, a weekly podcast, and a newsletter for SEO, CRO, and web professionals who want to stay visible, trusted, and findable as agents take over. Hosted by Slobodan "Sani" Manic. Subscribe at https://nohacks.co/subscribe

    26 min

  7. Mar 11

    220: Google Patented Replacing Your Landing Page With AI

    Google was granted patent US 12536233B1 in January 2026, describing a system that scores your landing page and, if it falls below a quality threshold, replaces it with an AI-generated version personalized to each searcher. This episode breaks down how the patent works, how the industry reacted, and what website owners should do to prepare. Chapters 00:00 - Introduction01:24 - How the Patent Works, Step by Step04:26 - How the Industry Reacted06:46 - What This Actually Means07:57 - Ads First, Everything Else Later08:58 - Google's Data Advantage10:13 - Your Website Is Becoming a Warehouse11:10 - The Measurement Problem12:28 - Connection to Agentic Browsers and Web MCP13:38 - What You Can Do About It15:19 - ClosingKey Statistics Patent US 12,536,233 B1 approved January 2026, priority date July 2024 (USPTO)Patent filed by six Google engineers: Karen Zhang, IL Grover, Timothy Benjamin Wallen, Lauren Marjorie Bedford, Avi Sadan, and Ethan MiloLanding page score based on conversion rate, bounce rate, click-through rate, and design/content quality assessmentsAI pages can include product feeds, CTA buttons, chatbot functionality, personalized headlines, filters, and suggested productsKey Takeaways The patent is real, and the scope is clear - Google has patented a system to score landing pages and replace underperforming ones with AI-generated versions personalized to each user's search history and context.It starts with ads, but that's the playbook - The patent explicitly references sponsored content items. Google has a history of introducing features in ads first, then expanding (see: Google Shopping's evolution from free to paid).Google has a data advantage no one can match - The system uses full search history, previous queries, click behavior, location, and device data. No advertiser has access to that level of personalization.Your website is shifting from storefront to warehouse - Brands become suppliers of data while Google owns the customer experience. Your product feed and structured data become the front door to your business.The technology is category-agnostic - The patent focuses on shopping today, but scoring a page and replacing it with an AI version is a technique that applies to any content type. The question is when it expands, not whether.Action Items Checklist Treat your product feed like your homepage: accurate, complete, detailed specs, pricing, stock levels, high-quality imagesInvest in structured data and machine-readable content so AI-generated pages based on your data are correctBuild direct audience relationships: email lists, community, direct traffic, brand reputationMonitor your landing page quality scores in Google AdsRead the patent yourself to understand exactly what Google is describingListen to the Browser Wars episode for context on agentic browsers and Web MCPListen to the Duane Forrester episode on trust as the most important signal for AISources & Links The Patent US Patent 12,536,233 B1 - AI Generated Content Page Tailored to a Specific UserEpisode URL: https://www.nohackspod.com/episode/220-google-patented-replacing-your-landing-page-with-ai No Hacks is a publication about the agentic web. Articles, a weekly podcast, and a newsletter for SEO, CRO, and web professionals who want to stay visible, trusted, and findable as agents take over. Hosted by Slobodan "Sani" Manic. Subscribe at https://nohacks.co/subscribe

    18 min

  8. Mar 4

    219: Your Homepage Is Not Your Homepage Anymore with Rand Fishkin

    Rand Fishkin, co-founder of SparkToro and one of the most influential voices in digital marketing history, shares research proving that AI brand recommendations are wildly inconsistent. You'd need to ask ChatGPT 1,500 times to get the same brand list in the same order twice. We discuss why AI ranking tools are selling metrics that don't exist, why Google is still 210x bigger than ChatGPT, and why brand building (not digital marketing tricks) is the real lever for AI visibility. About the Guest Rand Fishkin - Co-founder & CEO of SparkToro, co-founder of Moz and Alertmouse, author of "Lost and Founder" Chapters 00:00 - Intro01:04 - The best thing AI has brought online02:51 - The AI inconsistency research: 1,500 prompts for the same list06:17 - Why AI tracking tools give you a false sense of visibility09:16 - Is AI search actually better than Google?11:34 - Kung Pao Chicken vs Peanut Butter: prompt variability16:26 - What AI tracking should actually measure20:16 - Why the best brands weren't built on digital marketing22:43 - AI as "Spicy Autocomplete": where the hype exceeds reality25:17 - Why AI cannot be creative28:58 - Google is still 200x bigger than ChatGPT31:28 - Two ways to show up in AI: base models and RAG34:34 - Brand mentions as the real lever for AI visibility38:10 - Zero-click marketing and the death of traffic as a metric41:47 - Why SEO careers are more important than ever44:39 - What brands should actually do first in March 202648:10 - The one thing about AI that should be killed today52:02 - Where to find RandKey Takeaways AI rankings don't existVisibility percentage is the real metricBrand mentions drive AI visibility The best brands weren't built on digital marketingYour homepage is not your homepage anymoreSEO is more important than ever, but the metric changedRESOURCES: Rand's AI Inconsistency Research: https://sparktoro.com/blog/new-resear...SparkToro (audience research): https://sparktoro.comAlertmouse (brand mention monitoring, free): https://alertmouse.comConnect with Rand on LinkedIn: https://linkedin.com/in/randfishkinEpisode URL: https://www.nohackspod.com/episode/219-your-homepage-is-not-your-homepage-anymore-with-rand-fishkin No Hacks is a publication about the agentic web. Articles, a weekly podcast, and a newsletter for SEO, CRO, and web professionals who want to stay visible, trusted, and findable as agents take over. Hosted by Slobodan "Sani" Manic. Subscribe at https://nohacks.co/subscribe

    54 min
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About

No Hacks is the weekly podcast about website optimisation, SEO, and web strategy in the age of AI search. If you work on websites and want to understand how AI agents, LLMs, and AI-powered search are changing everything, this is your show. Your next million website visitors won't be human. And most websites are completely unprepared. AI agents can't navigate them. LLMs don't cite them. Search engines no longer rank them the same way. Each week we dig into what's breaking, what's working, and what to do about it, covering AI SEO, AI Overviews, agent experience optimisation (AXO), CRO, structured data, and the future of organic search and discovery. Built for SEO professionals, web strategists, developers, and CRO specialists who'd rather adapt early than scramble later. Hosted by Slobodan Manic, consultant and speaker on Agent Experience Optimisation and AI-ready web strategy. New episodes weekly. Subscribe to the companion newsletter at nohacks.co/subscribe

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