There’s a whole narrative right now that “vibe coding is a bubble” and all the MRR from AI-built apps isn’t real.

In this episode, we chat with Jacob Klug, founder of the agency Creme, which specializes in building lovable MVPs on top of tools like Lovable and AI coding assistants. Jacob makes the case that most of the “AI apps are trash” discourse is really a skill issue, not a tool issue—and he breaks down the exact process his team uses to ship full platform-level apps in two-week sprints.

We dig into how to scope and design software that doesn’t look AI-generated, how to think about personal operating systems vs. SaaS, why ideas are getting worse even as tools get better, and how creators and agencies can turn niche domain expertise into real products.

If you’re an operator, marketer, or founder trying to figure out how to actually use AI coding tools (instead of just tweeting about them), this one’s for you.

Guest

Jacob Klug — founder of Creme, an agency building “lovable MVPs” and full-stack products with Lovable + AI tools; helps founders, startups & enterprises ship production apps in weeks without sacrificing UX.

Guest Links

Website: https://www.creme.digital/
LinkedIn: https://www.linkedin.com/in/jacob-klug-37b254156/
X (Twitter): https://x.com/Jacobsklug

What You’ll Learn

• Why the “vibe coding is a bubble” take is mostly a skill and discipline problem
• How Jacob’s agency ships full startup-grade products using Lovable and AI
• The PRD-first formula they use before ever opening a builder
• How to decide when to build vs. when to buy software in 2025
• Why we’re entering a wave of personal OSes and custom internal tools
• How to avoid shipping janky AI UI and make your app look intentionally designed
• The mindset shift from “I could build anything” → “I will build this one specific thing”
• Why specializing in one AI tool (Lovable, Cursor, n8n, etc.) beats being “the AI guy”
• Tactical content and lead-gen plays for agencies on LinkedIn and YouTube
• How to learn AI tooling without getting paralyzed by the infinite possibilities

Timestamps

• 00:00 — Vibe coding: bubble or breakthrough?
• 02:23 — Effective use of no-code tools
• 05:23 — Stack and scoping for MVP development
• 07:08 — Trends in personal software development
• 10:33 — Personal projects: blood work analysis tool
• 13:00 — Steps to start building custom software
• 17:49 — Successful and unsuccessful product categories
• 21:01 — Learning and adopting AI tools
• 27:45 — Creator collaboration in software development
• 32:14 — Lead generation strategies for AI-powered agencies

Key Topics & Ideas

1. Bubble or Skill Issue?

• Why early no-code/AI apps looked janky
• How tools like Lovable increased automation from ~50% → ~85%
• The remaining 10–15% where real engineering still matters
• Many failures come from non-devs skipping fundamentals

2. How Creme Builds Lovable MVPs

• Every project starts with a clear PRD (often drafted with ChatGPT)
• AI is used to tighten scope before building
• When Creme stays fully in Lovable vs. moving code to Cursor
• Using Lovable Cloud for hosting, database, and analytics

3. Personal Operating Systems & Internal Tools

• People replacing SaaS subscriptions with their own custom tools
• In a 20-person cohort, nearly everyone built workflow apps
• Rise of the Personal OS: one system for life + work
• Example builds:
  • Bloodwork tracker from PDF uploads
  • Unified messaging CRM (WhatsApp, Telegram, SMS, email)
  • Automated 30-second sales briefings

4. How to Learn AI Coding Tools

• Half the cohort hadn’t built anything before starting
• Main blocker: overwhelm, not skill
• Learn core concepts: frontend vs. backend, auth, roles, security
• Build daily reps, focus on the next thing you need—not “all of AI”

5. Designing Apps That Don’t Look AI-Generated

• Good design is still the hardest and biggest edge
• Creme process: build a /components library, define buttons/cards/inputs, assign stable IDs
• Tools: Mobbin, Figma Community kits, 21st.dev
• Best prompt: “Here’s a screenshot → copy this.”

6. What Works in Product Ideas

• Most of Creme’s builds are full startup platforms, not micro-tools
• AI makes shipping easier, but ideas are getting worse without depth
• Real advantage = domain expertise + niche problem + AI speed

7. Creators x Software

• Creators can now ship products without capital
• Jacob prefers retainers over equity
• Analogy: Like creator brands—most fail, a few go huge

8. Career Strategy: Specialize

• Future = verticalized expertise, not “AI generalists”
• Specialist lanes: Lovable, Cursor, n8n, automation
• Be the person for one tool + one market

9. Content & Lead Gen

• Jacob's two rules for content: people are selfish and people are bored
• Build content that teaches, sparks emotion, and creates curiosity
• Post ~5x/week, prioritize visual posts
• Long-term: YouTube deep dives for high-intent inbound

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When you hit send on ChatGPT, your garbage six-word query gets enriched while the AI simultaneously launches 80 parallel searches, scraping pages 1-3 on Google faster than you can blink - and the proof is hiding in your Search Console with those weird 50+ character queries showing 96K impressions but only 14 clicks because AI is hoovering up content without clicking through. The arbitrage play is stupidly obvious: stop making more content and start getting mentioned in the existing high-ranking pieces AI already references - find what URLs ChatGPT cites for your space, reach out to those blog owners, and get included in their listicles because one mention there is worth more than 100 blog posts since you're suddenly part of every AI response in your category.

5 Key Takeaways:

1. AI enriches your terrible queries because you type like garbage
2. Every response triggers 80 parallel searches scraping Google's top results
3. Search Console shows AI scraping: high impressions, zero actual clicks
4. Stop making content, get mentioned in existing high-ranking pieces instead
5. One listicle mention beats 100 blog posts for AI coverage

Think of page one as real estate—and claim as much of it as possible. Jesper Nissen breaks down modern parasite SEO: leveraging high-authority platforms (YouTube, Instagram, X/Twitter Articles, Perplexity/Qwen pages, etc.) to rank quickly for branded, local, and long-tail keywords. We cover indexing workflows, daisy-chain linking, exact-match domain plays, and the content + link velocity patterns that are working now.

Guest
Jesper Nissen — SEO educator, link-building practitioner, founder of SchemaWriter.ai and the cloud-stacking platform YACSS; speaker at POFU Live / SEO Rockstars; MSc in Physics (U. of Copenhagen). 

Guest Links
Website: https://jespernissen.com/
YouTube: https://www.youtube.com/@JesperNissenSEO
X (Twitter): https://x.com/jespernissenseo?lang=en

What You’ll Learn

• Parasite SEO, 2025 edition: Why page-one results increasingly favor social UGC, news, and authority domains—and how to ride that DA for fast wins. 
• Platforms that still rank: Jesper’s current leaderboard (e.g., Qwen, Perplexity) and what changed for Claude Artifacts.
• Local + long-tail focus: How to use Facebook/Instagram posts, YouTube videos & community posts, and X Articles to own branded and geo-keywords.
• Indexing workflow: Indexing services + social “daisy-chain” links to accelerate discovery.
• EMD plays: Exact-match domains (service+city and SaaS feature terms) and smart, steady link velocity patterns.
• Social → Search shift: Why Instagram and Facebook posts have started surfacing in Google (July 2025 change) and how to write posts to rank. 

Timestamps

• 00:00 — Owning page one like “real estate”
• 02:16 — Parasite SEO vs. traditional guest posts
• 08:45 — Reddit’s link-out limits & why Jesper moved on
• 14:58 — Claude Artifacts surge (and why it cooled)
• 18:02 — What’s working now: Quen & Perplexity pages
• 21:35 — Indexing flow: drip pings + social link bursts
• 26:40 — Meta shift: FB/IG posts in Google (local SEO gold) 
• 31:55 — Exact-match domains + link velocity math
• 46:55 — Shorts as TOF magnets; long-form as sales letter
• 51:40 — Priming YouTube with low-CPC X ads (global)

Jesper’s Parasite SEO Playbook (Step-by-Step)

1. Pick a target query (branded, local, or long-tail).
2. Publish across high-DA surfaces:
   • YouTube (video + Community post), X/Twitter (Articles), Instagram, Facebook Page, plus AI page builders (e.g., Quen, Perplexity).
3. Front-load keywords in social posts (especially the first words of FB/IG captions for cleaner URLs/titles).
4. Daisy-chain internal links: point your X Article to the IG/FB/YouTube/AI pages to aid indexing.
5. Kick indexing via reputable ping/index services, then add lightweight social links to nudge crawl.
6. Measure and iterate: keep winners, replace laggards, expand with adjacent long tails.

Exact-Match Domain (EMD) Mini-Framework

• When to use: service+city rank-and-rent, or narrowly defined SaaS use-cases.
• Build: one-page lander, fast crawl path, 5–10 quality links/month early, layer socials & citations; avoid unnatural velocity spikes.
• Why it works: high topical alignment + clean intent matching.
  (Jesper’s background in cloud stacking/YACSS and SchemaWriter.ai complements this with structured data & internal “powerstack” patterns.) 

Sponsor

This episode is brought to you by Graphed — the AI-native analytics platform that builds dashboards from plain English. Connect GA4, ads, CRM, GSC, and Sheets to get KPI boards in minutes. Learn more: https://graphed.com/

Billboards at $0.75 CPM. Streaming TV you can actually measure. Tim Rowe breaks down how to blend OOH + CTV to drop blended CAC, spark geo-lift, and build “living-room” brand equity—without massive budgets.

Streaming has turned TV into a performance channel you can buy, cap, and measure like digital—often at CPMs rivaling or beating social. Tim explains how their ad server + pixel connect living-room exposure to down-funnel actions, with many brands seeing $3–$4 cost per visit and 3–4× higher conversion vs other traffic sources. On OOH, the overlooked arbitrage is static or digital boards priced like real estate: win by buying the biggest formats in the largest markets at the lowest biddable entry price, then engineer earned media (social virality) and geo-lift. Start with ~$5k for a real CTV test (smaller tests can still work as an add-on), measure blended CAC, branded search, and market-level lift, and let creative—not hyper-granular targeting—do the heavy lifting.

Guest

• Website: https://cognitionads.com/
• LinkedIn: https://www.linkedin.com/in/troweactual
• X (Twitter): https://x.com/oohinsider
• Tim’s newsletter/resource hub: https://stateofstreaming.com/

What You’ll Learn

• Why streaming made TV relevant again—and cheap ($1–$2 CPMs in some geos).
• How to attribute TV exposure → search → site visit → purchase within a 48-hour view-through window.
• The out-of-home (OOH) arbitrage: buying big signs in big markets for sub-$1 CPMs.
• How OOH + CTV lower blended CAC and lift branded search in target geographies.
• Practical first tests: budgets, pixels, frequency caps, creative, and geo measurement.
• Event playbooks: digital billboard trucks, rideshare screens, street teams, and QR flows.
• Targeting reality: on CTV, less targeting often wins—use creative as the filter.
• Retargeting on TV (yes): pixel site traffic and follow with CTV/audio/display.

Timestamps & Chapters

• 00:00 — Why TV is “back”: streaming CPMs and geo-targeted buys
• 01:30 — Direct attribution: 48-hour view-through from TV → search → site → purchase
• 03:45 — OOH primer: static vs digital, programmatic buys, and PMP tips
• 06:05 — The arbitrage: big boards, big markets, tiny CPMs (often <$1)
• 09:15 — Measuring lift: branded search, Search Console, geo-heatmaps, blended CAC
• 12:10 — Earned media by design: turning boards into social fuel
• 15:20 — Event playbook: mobile LED trucks, rideshare TV, coffee-cart sponsorships
• 18:05 — CTV mechanics: ad server + pixel, frequency caps, “hands on keyboard” setup
• 21:10 — Budgeting your first test (~$5k) and what “good” looks like
• 23:00 — Targeting truth: broad wins; use creative, use your 1P data for segments/lookalikes
• 26:10 — Retargeting on TV and building a full streaming funnel
• 28:00 — Who this works best for (DTC, local services, ABM/SaaS, events)
• 30:00 — Getting started and where to reach Tim

Playbooks & How-Tos

1) Fast OOH Test (2–4 weeks)

• Pick 1–2 large markets your sales team targets.
• Buy largest formats you can afford (static or digital) at the lowest CPM; test via https://www.blipbillboards.com/
  (entry-level) or via PMPs/direct with operators.
• Creative: one bold claim + large logo + simple URL/QR. Design for 0–3 second read.
• Measure: branded search & direct/organic sessions from those geos; compare pre/post.

2) Streaming TV (CTV) Starter

• Pixel your site (for attribution + retargeting).
• Launch a broad geo campaign; cap frequency; rotate 1–2 :15–:30 creatives.
• Budget: aim for $5k to reach statistical signal; smaller ($1.5–$2k) still useful as a display-like add-on.
• KPI: cost per visit ($3–$4 is common in Tim’s data), conversion rate lift vs other traffic, branded search lift, blended CAC shift.

3) Event Swarm Tactics

• Digital billboard truck looping near venue entrances all day.
• Rideshare TV for the event radius; add a QR to capture emails or drive an offer.
• Street team + product samples or demo cards; sponsor a coffee cart beside the venue.

Key Takeaways (Skimmable)

• CPMs: OOH can hit ~$0.75; CTV often $1–$2 in the right geos.
• Attribution: Use a 48-hour view-through window from TV exposure to on-site actions.
• Blended CAC: Expect downstream CAC reductions across channels from brand lift.
• Targeting: On CTV, broader = cheaper CPMs and often better performance; let creative and 1P audiences do the work.
• Budget: $5k is a solid first test; smaller tests still demonstrate directionality.
• Creative: Be bold; engineer shareable moments to multiply paid with earned.

Links & Resources Mentioned

• Cognition Ads (Tim’s company): https://cognitionads.com/

• State of Streaming (news & insights): https://stateofstreaming.com/

• Blip (entry-level digital billboards): https://www.blipbillboards.com/

• The Trade Desk: https://www.thetradedesk.com/

• DV360: https://marketingplatform.google.com/about/display-video-360/

• Google Search Console (measure geo-lift): https://search.google.com/search-console/about

Sponsor

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Founders are ditching pure outbound for “community → product” funnels. Jacky Chou (Indexsy) breaks down a modern SaaS GTM: build audience, educate in a community, sell the tool that powers the play. We go deep on local SEO (map pack), YouTube as the highest-intent acquisition channel, Reddit/parasite SEO mechanics, and how LocalRank grows by educating & productizing services.

Guest

Jacky Chou — Indexsy
Website: https://jackychou.com/
YouTube: https://www.youtube.com/@indexsy
X (Twitter): https://x.com/indexsy

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What You’ll Learn

• The community-led SaaS funnel (audience → community → teach → tool)
• Local SEO 80/20: reviews, citations (NAP consistency), and CTR signals
• Why YouTube drives the most buyer-ready traffic for niche software
• Parasite SEO & Reddit tactics to earn visibility and brand mentions
• How “education first” communities expand TAM and reduce CAC
• Cold outreach that feeds branded search and category creation

Chapters

00:00 Intro — Why the SaaS funnel is shifting to community-led
 01:45 Local SEO 101: map pack vs. organic results
 03:40 The 80/20: reviews, citations/NAP, CTR signals
 06:10 Tactics for generating reviews & citations (pros/cons, risks)
 09:55 Indexing citations faster; NAP consistency checklist
 12:40 Community-led growth & seeding new agencies on LocalRank
 15:05 Why local SEO is “stupid easy” right now (and where it’s competitive)
 17:30 Prospecting & pricing: pick high-CPC verticals, value-based fees
 20:15 Packaging offers: guarantees, radius games, productized services
 22:40 The funnel behind LocalRank Academy → software upsell
 25:20 Paid vs. organic: X threads, remarketing, long email drips
 27:15 Launch data: YouTube > X for paid conversions at launch
 29:10 Reddit distribution, parasite SEO, and gaming brand mentions
 32:20 Cold email that drives site visits (naked domains, link timing)
 35:05 Manufacturing branded search & CTR spikes (digital PR ideas)
 38:10 AI Search (AISCO): what (might) influence LLM surfaces today
 43:05 Building moats: being the practitioner, faster iteration loops
 46:10 Experiments, ethics & sustainability of “gray-hat” tactics
 49:10 Where to find Jackie & final CTAs

Key Takeaways

• Community beats cold: educate first, then sell the tool that powers the play.
• Map pack wins local: Reviews + consistent NAP citations + real-world engagement drive outsized results.
• YouTube converts: Long-form demos/education create buyer-ready traffic for niche SaaS.
• Branded search compounds: Cold email, content, PR, and job posts can stimulate searches for your name/category.
• TAM expansion via education: A paid community can breakeven ad spend and prime higher-ticket software deals.

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Today we break down why “influencer marketing” (renting audience) is losing to creator-based marketing (renting skill at making viral content) — and how to run it like a system. Guest Robert Lukoszko, founder of Stormy AI, shows how their agent finds creators, pulls contacts, sends DMs/emails, follows up, and even negotiates packages before you step in. We get tactical on budgets, pricing, UGC hiring, TikTok vs YouTube strategy, measurement, and building a compounding “surface-area” of content across the web.

Brought to you by Graphed.com — connect your data, ask in plain English, ship shareable dashboards.

Guest

• Website: stormy.ai 
• Robert Lukoszko — LinkedIn: linkedin.com/in/karmedge 
• X (Twitter): @Karmedge 

What you’ll learn

• Creator vs Influencer marketing: Why FYP-driven platforms reward great content over big followings — and how to “rent” creators’ skill instead of their audience.
• The scalable workflow: Brief → research → outreach (DM/email) → qualify → negotiate packages → handoff to human for final approval.
• TikTok UGC machine: Hire 1–3 full-time UGC creators posting 2–3 shorts per day; test cheaply, then double down on breakout templates.
• YouTube packages that work: Three-video bundles over ~6 weeks build trust & lift; use retainers for your top performers.
• Negotiation scripts that convert: Lead with “Paid collaboration” in subject/first line, anchor on value, and offer volume/retainer discounts.
• Pricing reality check: Typical UGC test pieces land in the ~$20–$100/video range (many sweet-spot wins at $20–$50) for micro/nano creators; salaried UGC in EU markets often $1–2k/mo part-time depending on output and quality.
• Compounding effects: Viral videos spawn follower videos; repeated sightings increase creator reply-rates and lower CPAs.
• Agents as team members: Why modern stacks look like small pods of engineers orchestrating many narrow agents (research, outreach, follow-ups, CRM status, stop-conditions).

Chapters & Timestamps

• 00:00:00 — Cold open: “Stop influencer marketing. Start creator marketing.”
• 00:01:17 — Sponsor: Graph.com (AI dashboards from plain English)
• 00:02:26 — Guest intro: Robert (Founder, Stormy AI) + why YouTube/TikTok matter
• 00:03:49 — The pain of manual outreach and why Stormy exists
• 00:05:55 — How Stormy’s research agent finds/qualifies creators (views, recency, fit)
• 00:08:15 — TikTok/UGC playbook: daily shorts, test → double down
• 00:10:04 — It’s a numbers game: post volume & breakout templates
• 00:12:00 — “Surface area” strategy: AI pulls from the open web; brand search as moat
• 00:15:03 — Validating features with viral demos before shipping
• 00:17:02 — Building in public: rapid iteration with creator feedback
• 00:18:00 — Outreach mechanics: DMs, scraping bios/Linktree, multi-source emails
• 00:20:06 — Copy that converts: lead with “Paid collaboration” + template tips
• 00:21:46 — Scale metrics: ~200 messages/day across rotated inboxes; reply-rate ranges
• 00:23:29 — Brand effects: recognition boosts replies; upfront vs affiliate by stage
• 00:26:01 — Compounding virality: trend templates, creator social proof
• 00:29:03 — Pricing: $20–$100 UGC tests; sweet spot $20–$50; EU part-time $1–2k/mo
• 00:29:53 — Agentic negotiations: packages, volume, follow-ups, human handoff
• 00:31:04 — Guardrails: budget anchoring, stop-conditions, funny “PayPal link” story
• 00:35:05 — Toolbelt of agents: research, outreach, CRM updates, payments, bulk sends
• 00:36:01 — Architecture: many narrow agents > one monolith
• 00:37:51 — Future: fewer humans in the loop; AI influencers; approvals as human role
• 00:39:16 — Can businesses run themselves? Media = growth flywheel
• 00:41:11 — Hiring philosophy: engineer-heavy teams (Gary Tan advice)
• 00:43:46 — Wrap + where to find Robert & Stormy

Playbooks & templates (steal these)

Outreach subject lines (email/DM first line):

• “Paid collaboration: {Brand} x {CreatorName} — 3-video package”
• “Paid promo + affiliate: {Brand} (fast approvals, simple brief)”

First message (short DM/email):
“Hey {Name} — we’re {Brand}, a {1-line what you do}. Paid collaboration: 1 test short this week (${offer}) + option to extend to 3-video bundle over 6 weeks. You keep creative control; we provide brief + examples. Interested? If yes, quick details + rate card?”

Negotiation levers: volume (3-pack → 6-pack), multi-month cadence (1/mo), affiliate top-ups on performance, first-video discount, creative templates proven to hit.

UGC hiring filter: Look for micro/nano creators (10k–50k) with at least one breakout (e.g., 500k+ views) in your niche; they have the “spark” but are still rationally priced. (Stormy highlights this pattern in search/fit scoring.) 

Key quotes (pull-ready)

• “Creator marketing rents skill at making viral content — not just an audience.”
• “It’s a numbers game twice: mass outreach, then mass posting — let the winners emerge.”
• “Lead with ‘Paid collaboration’ so creators instantly know there’s budget.”
• “Templates win. When a format pops, clone it and scale with more creators.”

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AI “agents” have been hyped to death—but very few are truly delivering real-world impact. In this episode, we cut through the vaporware with Christian Wiens, co-founder of Loman, an AI voice agent platform transforming how restaurants handle customer calls, orders, and reservations. Christian shares how Loman went from a two-person idea to serving hundreds of restaurants and hitting $1.5M ARR in record time. We dive into why voice is the most natural, context-rich way for humans to communicate—and how AI agents that do real work (not just answer questions) will change how we interact with businesses forever. You’ll hear how Loman’s restaurant agents integrate directly with POS systems to take orders end-to-end, the surprising reasons Gen Z prefers talking to AI over humans, and why the future of a brand’s “front door” may be an AI personality instead of a website. Christian also breaks down Loman’s explosive growth playbook—from ditching cold email for native social ads, to filming on-location customer stories that convert like crazy. We cover the realities of AI-generated ads, programmatic SEO, and why outcome-driven automation is the only AI worth paying for.

What You’ll Learn in This Episode

• What really defines an AI agent—and why most products don’t qualify
• How voice-based AI can capture richer customer context than any app or form
• The operational pain restaurants face with missed calls and how AI solves it
• Why customers don’t care if it’s AI or human—only that it gets the job done
• Gen Z’s surprising comfort with AI calls (and discomfort with human ones)
• The two make-or-break factors every AI agent needs to succeed
• How to create “native feel” ad creatives that crush on social
• Why hyper-specific vertical integration beats horizontal AI every time
• The massive untapped potential for outbound AI voice (and the legal gray areas)
• Christian’s vision for a future where AI agents replace websites as the primary customer touchpoint

Chapters

00:00 – Intro & The AI Agent Hype vs. Reality
 04:18 – What an AI Agent Really Is
09:02 – Why Voice Is the Ultimate Interface
13:47 – The Restaurant Industry’s Missed Call Problem
18:25 – Gen Z’s Comfort with AI Calls
22:58 – Vertical vs. Horizontal AI Strategies
27:41 – Loman’s Explosive Growth Playbook
32:16 – Ads That Feel Native & Convert
37:08 – Outbound AI Voice & Legal Considerations
42:55 – The Future: AI Agents as the New Websites
47:20 – Closing Thoughts & How to Connect with Christian

Connect with Christian Wiens:

• LinkedIn – https://www.linkedin.com/in/christianwiens/
• Website – https://www.loman.ai/

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If your LinkedIn feed looks like a museum of giant n8n screenshots and “comment to get the guide” posts…good. That means the playbook works—when you do it right. Paolo breaks down the exact framework his agency uses to turn LinkedIn into a repeatable inbound lead engine for B2B—especially SaaS, agencies, and info businesses.

What You’ll Learn

• Lead magnet mechanics that still crush: how to pick the right asset (templates vs. guides), formats that perform (Notion docs, Miro boards, short scroll videos), and the “perceived value + curiosity + scarcity” combo.
• Hooks that make people click “See more”: trigger desire, fear, or curiosity in the first 3 lines.
• Pattern interrupts that boost reach: why oversized workflows, zoom-ins, and 10-second sped-up videos spike hover time and help the algo.
• Profile-as-landing-page: how to structure your headline, Featured section, and CTAs to funnel traffic without tanking post reach.
• Nurture after the comment: DM prompts that qualify intent, when to drop case studies, and how to avoid low-intent “free audit” traps.
• Where this shines: B2B SaaS, agencies, consultants/coaches—audiences that are active on LinkedIn and buy from content.

Paolo’s Playbook (Step-by-Step)

1. Pick the problem (one ICP pain your offer solves).
2. Choose the asset format based on buyer type:
   • Done-for-you buyers → plug-and-play templates.
   • Education/info buyers → guides/videos.
3. Design the preview media to signal value and create curiosity:
   • Notion table of contents screenshot, massive Miro flow, or a 10-sec scroll video.
4. Write the post like this:
   • 3-line hook (desire/fear/curiosity).
   • Promise + what’s inside.
   • CTA to comment (optionally “repost for priority”).
   • Light scarcity (e.g., 48-hour window).
5. Delivery & DMs:
   • Send the asset, ask an easy reply (“Are you posting on LinkedIn yet?”).
   • Qualify with 1–2 follow-ups, then make a clear offer with outcomes + timeline (+ guarantee if you have one).
6. Nurture cadence (next 2–3 days):
   • Day 1: Case study (story format: before → intervention → after; CTA to book).
   • Day 2: Technical value post (lower engagement is fine; it nurtures).
   • Add strongest case studies to Featured on your profile.
7. Links without nuking reach:
   • Push to profile/Featured or drop links in comments; edit the post later to add the link after it’s cooked.

Tactical Nuggets

• Comments > Likes (weightier signal + more hover time).
• Avoid bot pods; if you coordinate engagement, keep it real accounts and relationships.
• For SaaS without a free trial, push to a free setup/usage guide that inherently requires the product.
• Use storytelling in case studies; people remember transformations, not dashboards.
• If you’re running volume lead magnets, expect lower engagement on deep-dive posts—that’s normal and still effective.

Tools & Formats Mentioned

• Notion (TOC screenshot as lead magnet preview)
• Miro (big workflow screenshots)
• n8n (automation diagrams that stop the scroll)
• Short scroll videos (10–15s, autoplay pattern interrupt)
• AI voice agent (optional MOFU experiment to educate and qualify at scale before handing off to a human)

Who This Works Best For

• B2B SaaS (often top performer)
• Agencies
• Consultants/Coaches
• Any ICP that’s active on LinkedIn and buys based on content/authority

Sponsor

Talent Fiber — Hire world-class global talent (engineers with 7+ years’ experience, U.S. time zones, excellent English) at ~⅓ U.S. cost. They’re an outsourced HR partner, handling compliance, payroll, and employee happiness—with a free replacement if it doesn’t work out. Learn more: talentfiber.com

Connect with Paolo

• LinkedIn: https://www.linkedin.com/in/leadgenwiz/

https://www.graphed.com/ - AI data analyst to build dashboard and get insights

AI-driven search (AISEO) is opening a new lane for brands in competitive categories. Joe Davies from FATJOE explains why branded mentions (not just links) are increasingly what LLMs use to decide recommendations—and how teams can systematically earn those mentions. We cover tactics like guest blogging at scale, context-seeding your USP across reviews/listicles, building deep product docs to feed LLMs, and using tier-two links to get your “influencer pages” ranking. Early data shows 2–3× higher conversion rates from AI-referred traffic because buyers arrive pre-educated and ready to act.

What You’ll Learn

• Why AISEO rewards brand mentions and clear USPs more than classic link metrics.
• How AI-referred traffic converts 2–3× higher than traditional search.
• A repeatable process to seed your brand in listicles, reviews, and comparisons.
• How to “context-seed” your USP so LLMs recommend you for the right reason.
• Why deep help docs / knowledge bases make LLMs more confident recommending you.
• How to choose targets (DR + real traffic), then lift them with tier-two links.
• The state of AISEO observability (what to track, what’s still immature).

Tactical Playbook (Step-by-Step)

1. Define your USP: the specific “best for ___” angle you want LLMs to repeat.
2. Keyword map long-tail, bottom-funnel queries (e.g., “best X for Y,” “X vs Y,” “X alternatives,” “[product] review”).
3. Prospect targets with credible traffic (DR is fine as a filter, but prioritize verified organic traffic).
4. Commission content: secure guest posts/listicles and full reviews on those sites. Mix formats to look natural.
5. Context-seed your USP in every placement (e.g., “Best for small teams,” “Most features,” “Best value”).
6. Include competitors in listicles/reviews so the page is useful (LLMs prefer balanced sources).
7. Boost with tier-two links (niche edits, syndication) to help these pages rank on pages 1–3.
8. Expand surface area: Reddit answers, YouTube/tutorial mentions, and social chatter to reinforce brand salience.
9. On-site foundation: build exhaustive docs—features, integrations, FAQs, facts sections—so LLMs can learn you deeply.
10. Measure pragmatically: track referral traffic from AI surfaces and downstream conversions; current “AI visibility” tools are early.

Resources & Mentions

• ChatGPT Path (shows the searches/sources ChatGPT runs under the hood):
  https://chromewebstore.google.com/detail/chatgpt-path/kiopibcjdnlpamdcdcnphaajccobkban
• FATJOE — Brand Mentions Service: http://fatjoe.com/brand-mentions
• FATJOE: https://fatjoe.com/

Key Takeaways

• AISEO is early but growing fast and already drives higher-intent traffic.
• Focus on being mentioned credibly across the open web; LLMs synthesize those signals.
• Listicles + reviews on high-trust, real-traffic sites are the current highest-leverage assets.
• Your docs are marketing now—LLMs read them and recommend accordingly.
• Don’t abandon SEO; it remains the foundation that AI systems lean on.

Chapters

• 00:00 Cold open: AISEO’s opportunity & why mentions matter
• 03:45 Data: AI referrals converting 2–3× vs. classic SEO
• 07:50 Who should prioritize AISEO (and who can wait)
• 10:30 Tactics: listicles, reviews, and “context-seeding” your USP
• 15:45 Tools & workflows; extension that reveals ChatGPT’s queries
• 19:45 Content ops: human vs. AI writing, plans, and clustering
• 22:30 Build deep product docs to feed LLM understanding
• 26:10 Ranking the influencer pages + tier-two links
• 33:00 Observability today: what’s useful, what isn’t yet
• 36:50 The next 5–10 years: AI + SEO, not AI vs. SEO

Guest

Joe Davies

• X: https://x.com/fatjoedavies
• LinkedIn: https://es.linkedin.com/in/joe-davies-seo
• Website: https://fatjoe.com/

https://www.graphed.com/ - AI data analyst to build dashboard and get insights

This AI SEO deep‑dive gets tactical. I sit down with Ilias Ismanalijev (aka @illyism) to map the real discovery journey happening inside AI search—what users actually prompt from problem‑aware to buyer‑ready—and how to influence results across models (GPT, O3, Claude, Perplexity). You’ll learn how to surface the right phrases (not just keywords), make your pages AI‑readable, and win off‑page placements on the listicles and directories LLMs love to cite.

What you’ll learn

• The 4 levels of AI search (no‑search → deep research) and how strategy changes at each.
• Prompt‑level intent mapping: info, comparison, executive/delegation, problem‑solving.
• How to spot AI‑generated queries in Google Search Console and build your tracking sheet.
• On‑page for LLMs: crawlability, structured content/markdown, alt text, and avoiding blockers (robots.txt, Next.js assets).
• Off‑page that moves rankings: listicle outreach, affiliate offers, directories (G2, Product Hunt), and Reddit/“parasite” opportunities.
• Why AI traffic is often more buyer‑ready—and how to target bottom‑of‑funnel prompts (e.g., “X vs Y,” “best X for Y,” pricing specifics).

Chapters
0:00 Cold Open — What You’ll Learn
1:22 Sponsor: TalentFiber
2:25 Meet Ilias & Why AI SEO Now
3:02 Who Benefits Beyond SaaS?
4:58 Research vs. E‑com Use Cases
6:20 Comparison‑Style Prompts IRL
8:59 Brands Doing It Well (Examples)
10:46 Why AI Traffic Is Buyer‑Ready
13:42 Benchmarking AI Search Visibility
16:38 Frameworks for AI Keyword Research
20:58 On‑Page for LLMs (Crawlability)
23:30 Finding AI Queries in Search Console
27:30 Regex + Long‑Query Filters
28:25 The 4 Levels of AI Search
32:17 Bottom‑of‑Funnel Prompts That Convert
34:06 Off‑Page: Listicles, Affiliates, Outreach
37:00 Reddit/Parasite SEO & Page One Sources
38:59 Mapping Sources w/ LinkDR
41:02 Pricing Pages & AI Page Inspector
44:34 Directories, Reviews & Digital PR
47:41 Should You Create AI‑Optimized Resource Pages?
48:38 Wrap‑Up & Where to Find Ilias

Guest
Ilias Ismanalijev
X: https://x.com/illyism
LinkedIn: https://www.linkedin.com/in/illyism
Site: https://il.ly/

Host
Cody Schneider
X: https://twitter.com/codyschneiderxx
LinkedIn: https://www.linkedin.com/in/codyxschneider
Instagram: https://www.instagram.com/codyschneiderx
YouTube: https://www.youtube.com/@codyschneiderx

Sponsor
This episode is brought to you by TalentFiber — hiring top offshore software engineers as an extension of your team (technical interviews, compliance, replacements, fast turnarounds). Learn more at talentfiber.com