Shh. Listen. SEO is talking to you
👉Full Survey: https://www.authorityhacker.com/link-building-survey/
We surveyed 755 link builders and marketers to determine the state of link building in 2022. While some of the results won't come as a shock, there was more than one surprising twist in our survey!
Let's say you've got money to spend and want to kickstart a new project.Â
That's great and all, but how exactly do you spend that money, and what do you do to start your new project off the right way?
In this episode, Mark and Gael go through their step-by-step guide for nailing the first 90 days of your site.
We're back with another end-of-year prediction roundup.Â
We'll be running through all the weird and wonderful predictions we made this time last year to see what came true, as well as looking forward to 2023 and making our top ten predictions for the year ahead!
Everyone's trying to automate social media with AI. Just plug in a prompt, hit post, watch the followers roll in. Sounds great. Except it doesn't work.
It's actually one of the biggest traps in AI right now. You end up with generic, soulless posts that get zero engagement and attract zero customers. We've tested this extensively and in this episode we break down exactly where it goes wrong and what actually works.
In this episode we break down:
→ Why fully automating social media with AI is a trap
→ The "emotion first" framework that actually gets engagement
→ How to use AI as a social media assistant (not replacement)
→ X's "Operation Kill the Bots" and what it means for AI content
→ How we cracked profitable Meta ad creatives with AI
→ Claude remote control, enterprise plugins, and desktop vibe coding
If you're letting AI run your social media on autopilot, this is your wake-up call.
đź”— AI Accelerator: https://www.authorityhacker.com/ai-accelerator/
⏱️ Timestamps:
00:00 – AI + social media is a trap
02:00 – Why views and traffic don't equal money
07:00 – The emotion-first approach to social media
20:00 – Live demo: AI social media skill in action
27:00 – Auto-replies and X's Operation Kill the Bots
29:00 – Profitable Meta ads with AI (live demo)
37:00 – Claude remote control feature
43:00 – Enterprise plugins in Cowork
50:00 – Claude Desktop vibe coding
55:00 – Notion custom AI agents
Want to learn how to use AI to automate your business? Check out AI Accelerator: https://www.authorityhacker.com/ai-accelerator/
Claude Opus 4.6 and OpenAI's Codex 5.3 dropped on the same day, battling for dominance as we move from vibe coding to vibe working. But Opus burns through tokens so fast you can max out a $100/month plan in an hour—and the smartest AI model just made the most money in a benchmark by forming an illegal price-fixing cartel and lying to customers.
Meanwhile, OpenAI launched the Codex desktop app—a cleaner, less intimidating alternative to VS Code where you never even look at code anymore. ByteDance released Seed Dance 2.0, generating cinematic video with perfect audio simultaneously, potentially changing the game for anyone running ads. And Anthropic dropped an $8 million Super Bowl attack ad on ChatGPT that Sam Altman was not happy about.
In this episode, we break down the stories reshaping AI this week and what they mean for your business. You'll discover:
👉 Why Opus 4.6 is the smartest model available but costs 60% more than 4.5—and why Gael switched back to 4.5 for most tasks despite the upgrade.
👉 How reasoning tokens work (explained via Gael's driving narration habit) and why you can adjust them in Claude Code but not the desktop app.
👉 The Vending Bench results: Opus 4.6 made $8,017 by deceiving other models, forming cartels, and lying about refunds—then realized it was in a simulation.
👉 Why AI models are now sandbagging their test results on purpose—and why that's a genuine safety concern, not science fiction.
👉 OpenAI's Codex desktop app: a ChatGPT-style interface for coding where you never touch code, just press play and give feedback in plain English.
👉 GPT 5.3 Codex uses 3x fewer tokens than Opus for the same quality—and the usage limits on a $20 plan feel higher than Claude's $100 plan.
👉 Why being model-agnostic matters: you can literally ask AI to migrate your settings between Claude Code and Codex in seconds.
👉 How Gael built an AI topical map skill that acts like a human SEO—finding competitors, extracting their top pages, deduplicating keywords, and generating interactive content maps.
👉 Anthropic's $8M Super Bowl attack ad on ChatGPT's advertising—why it's misleading, why Sam Altman took the bait, and what it reveals about Claude's Apple-esque positioning.
👉 Seed Dance 2.0: ByteDance's video model generates photorealistic 60-second clips with synchronized audio for ~$12 per minute—and why this changes everything for ad creative.
Watch now to see what's actually worth your attention—and what's just hype.
00:00 Intro
00:50 Claude Opus 4.6: Smarter But Way More Expensive
04:55 Context Window & Reasoning Token Costs
08:43 Reasoning Effort Settings in Claude Code
10:26 Vibe Working: Moving Beyond Chatbots
14:26 Vending Bench: AI Forms Illegal Price-Fixing Cartel
17:56 OpenAI Codex Desktop App
22:14 GPT 5.3 Codex: 3x Fewer Tokens, Same Quality
27:12 Opus vs Codex: Which One Should You Use?
30:48 AI-Generated Topical Maps for SEO
34:13 Super Bowl AI Ad Wars: Anthropic vs OpenAI
39:47 Seed Dance 2.0: AI Video Generation Gets Real
44:45 Outro
For 6 months my co-founder told me to use Claude Code. I brushed it off as it looked like a developer tool and I'm not a developer.
Then I spent one morning with it and built a full financial dashboard pulling live data from two Stripe accounts, calculating VAT, mapping customer locations, and breaking down every processing fee. I haven't gone back since.
In this episode we break down:
→ Why Claude Code is NOT just for coders
→ How "skills" turn AI into repeatable business workflows
→ A live demo building a full Meta ad campaign from scratch
→ Why chatbots alone won't cut it anymore
This is the adjustment. If you're not making it, you're falling behind.
đź”— AI Accelerator: https://www.authorityhacker.com/ai-accelerator
⏱️ Timestamps:
00:00 – I was wrong about Claude Code
03:23 – What Claude Code actually is
07:37 – Building a dashboard with no coding knowledge
14:52 – What are "skills" and why they matter
19:00 – Newsletters, SOPs, and real business workflows
32:33 – Demo: Full Meta ad campaign from one URL
42:00 – AI Accelerator & getting started
45:00 – Should you wait for Cowork instead?
49:30 – Last call: just do it
