If ChatGPT doesn’t recommend your brand when someone asks “what’s the best X” - you might as well not exist. That’s the new reality.

In this episode, Pierre-Louis Jérôme (Co-Founder of Geonimo) and Loïs Guilhou (Head of Sales) break down how AI models actually pick brands to recommend, why traditional SEO is losing ground fast, and what companies need to do right now to stay visible in the AI era.

What’s covered:

— GEO vs SEO: what’s actually different and why it matters

— How ChatGPT and AI assistants choose which brands to mention

— Why AI visibility is becoming a make-or-break for B2B

— How buyer decisions are shifting from Google to AI assistants

— What “AI as the new decision engine” looks like in practice

— How Geonimo helps companies track and improve AI visibility

🎙️ Featuring:

Pierre-Louis Jérôme - Co-Founder, Geonimo

Loïs Guilhou - Head of Sales, Geonimo

Produced with WellDone (welldone.tech) and MAADS (maads.com).

#AI #Visibility #SEO #GEO #ChatGPT #Optimization #DecodingOblivion #Geonimo

Timecodes

00:00 - The day Google stopped being the homepage

01:27 - GEO in one sentence

02:52 - "On Google you compete for clicks. On AI you compete to be chosen"

04:07 - SEO vs AEO vs GEO without the buzzwords

05:19 - The 3 signals that decide which brand AI picks

06:17 - Why most CMOs are 18 months behind

08:24 - The gap that made GEO inevitable

10:23 - Crypto and e-commerce got there first

11:52 - The 3 layers of AI visibility

13:37 - Faster than the internet itself

14:19 - Inside Geonimo: how the audit works

15:51 - The AI Suitability Score

16:24 - Traffic is dead. Mentions are the new metric

18:15 - The multi-market problem nobody talks about

20:33 - The mistake every brand makes in their first AI audit

22:40 - Who gets results in 7 days vs 7 months

24:40 - Writing for AI is nothing like writing for Google

27:56 - The 70/30 rule for SEO and GEO budgets

29:42 - Why AI search isn't winner-takes-all

31:03 - How small brands beat giants on ChatGPT

33:01 - Brands that started ranking in AI within days

34:10 - Industries already locked. Industries still wide open

35:58 - The 3 things to fix this week to show up in ChatGPT

37:15 - The biggest GEO mistake brands repeat

38:09 - Why GEO is a moving target

39:20 - What stops working in 6 months

40:26 - Where Geonimo is heading next

41:40 - The product roadmap nobody else is building

42:52 - From insights to automation

43:45 - GEO for marketplaces and recommendation engines

44:37 - AI agents talking directly to Geonimo

45:35 - How to try Geonimo and book a demo

46:10 - One thing to do tomorrow morning

46:34 - The 6-month forecast

47:09 - Outro

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Our guest, Mauricio Trujillo, CEO and co-founder of Claw Pump — a gasless token launchpad built specifically for AI agents on Solana — breaks down how this new “agentic economy” works, why AI needs its own financial infrastructure, and what it means for builders, investors, and everyone else.

We talk about:

— how AI agents can make money (without human involvement)

— why giving agents financial access changes everything

— the concept of self-funding AI systems

— building infrastructure for autonomous agents

— and how you can start experimenting with this today

This isn't theory anymore — it's already happening.

#AI #ArtificialIntelligence #AIAgents #AItools #MakeMoneyOnline #PassiveIncome #EarnMoneyOnline #OnlineIncome #Automation #AIautomation #FutureOfWork #DigitalEconomy #TechTrends #Innovation #StartupLife

Timecodes

00:00 AI agents already making millions 🤯

01:07 Intro: AI + crypto = new economy

02:17 The problem: why AI agents need money

03:27 Built in a weekend → $55M volume

04:23 How it works: AI launching tokens & earning

06:48 AI agents trading & making money

12:06 What is the “agentic economy”?

14:15 Self-funding AI agents (big idea)

18:24 How it scaled to 1,700+ agents

35:18 How to start using AI agents today

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In this episode of Decoding Oblivion, we explore how one of the oldest communication tools is being reinvented through blockchain, artificial intelligence, and new user-centric models.

Our guest, Gerald, founder of Ethermail, breaks down:

— why email hasn’t fundamentally changed in decades

— how connecting email with crypto wallets reshapes communication

— what Web3 email actually is (and how it differs from Gmail)

— how users can control who reaches them, and even get rewarded for their attention

— why spam might become obsolete

— the role AI agents will play in future communication systems

— and why data privacy is becoming more critical than ever

We also dive into the current state of the Web3 industry, the challenges of adoption, and what businesses, marketers, and builders should be focusing on right now.

This episode is for anyone looking to understand where digital communication is heading  and what’s already working today.

🎧 Tune in to discover what’s next.

Timecodes:

00:00 Introduction

01:03 Gerald’s Background & The Origin of EtherMail

03:09 Why Email Hasn’t Changed Since the 90s

05:17 Wallet-Based Email: Ownership, Identity & Encryption

08:50 Asset-Based Targeting: Emailing Wallet Holders

10:15 Getting Paid for Attention: The Rewards Model

11:38 Early Growth, Adoption & The Bot Problem

13:35 MoldMail: Email Infrastructure for AI Agents

17:45 Web3 Advertising Today & Why Email Still Works

21:46 EtherMail x Telegram Integration Explained

25:44 How Campaign Targeting Works (Active Wallets)

29:08 Who Uses EtherMail Today vs. Early Days

31:29 AI Agents & The Future of Email Communication

36:32 Biggest Challenges to Adoption

41:13 Can AI Give Power Back to Users?

43:37 Email’s Core Problems: Spam, Privacy & Fragmentation

46:14 AI Tools & Workflows Gerald Recommends

49:44 Advice for Startups & Marketers in 2026

56:22 Where to Find Gerald 

57:47 Final Thoughts: Building Through the AI Era

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In this episode of Decoding Oblivion, I sit down with Fred Lai, a strategic communications expert with a background in journalism, digital media, and blockchain. The conversation breaks down what’s actually happening to modern media, from collapsing ad models to fragmented attention and platform-controlled distribution.

We cover shifting credibility, why traditional outlets still matter (sometimes), and how trust is becoming more complex. From niche publications to finfluencers, the rules of media are changing fast.

Where does AI truly add value in newsrooms? And why is most content becoming commoditized, with only a small percentage driven by real originality?

This is a look at the evolution of media, what’s breaking, what’s adapting, and what comes next.

Timestamps:

00:00 Intro & Fred's background

03:17 The old media model and what credibility meant

08:44 The biggest structural shift: fragmentation and ad revenue collapse

13:06 Is traditional media declining or evolving?

17:14 Who owns attention now — platforms vs. publications

21:44 AI in newsrooms and the commodification of content

26:04 What good PR looks like in 2026 and the rise of agent-to-agent comms

29:24 Is press coverage still valuable for startups?

34:11 How crypto already changed the trust model

39:06 Will journalists survive AI? Tools, agents, and final thoughts

46:22 Fred's closing message and host outro

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We unpack where AI genuinely adds value in the sales process and where it still falls short. We discuss personalization, scale, deliverability, and why most teams are still making the same mistakes even with better tools. This episode is about what’s actually working behind the scenes in modern B2B growth. No hype, no exaggerated claims. Just practical insight from someone building and testing these systems every day.

Timestamps:

00:00 Intro + Meet Rodi

03:10 How Outreach Changed in the Last 3 Years

04:47 Is Cold Outreach Still Working?

07:29 LinkedIn, Automation & Personalization Reality

11:39 The 3 Pillars: ICP, Offer, Channel

19:49 Where AI Actually Adds Value

29:37 Real Outreach Workflow (LinkedIn vs Email)

33:46 Metrics That Matter + Benchmarks

39:04 Tools: Smartlead, Apollo & CRM Stack

46:05 The Future of Outreach & Automation

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This podcast exists because the rules have changed.

Marketing isn’t driven by big ideas and gut feeling anymore. It’s shaped by algorithms, data, and automated systems making decisions in real time. Most of that happens quietly, behind the tools we use every day, and that’s what we’re here to unpack.

Each episode is a conversation about what’s actually happening inside modern growth stacks:

what tools people rely on, what’s breaking, what’s overhyped, and what’s quietly becoming essential.

This isn’t a show about trends for the sake of trends.

It’s about understanding the systems shaping attention, demand, and behavior especially in crypto, AI and fast-moving tech environments.

Whether you’re building a company, working in marketing, or simply trying to understand how automation and AI are changing the game, Decoding Oblivion is here to help you make sense of it.

Less noise.

More signal.

Let’s decode it.

Thanks for listening.This is Decoding Oblivion.

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