The original is one click away. Open original ↗
How Neil Patel and Eric Siu actually use AI in marketing
Executive overview
Most marketers treat AI as a content factory, but current AI output is mediocre at best and tanks results when used without human editing. The real opportunity lies in analytics, data synthesis, and tool creation — not content generation.
People overestimate AI's short-term impact and drastically underestimate its long-term potential. Ranking in AI-driven search follows the same signals as Google: backlinks, authority, and volume of credible content.
AI saves time on specific tasks, but human judgment remains essential for quality output.
AI tools worth using now
- Opus.pro / Peach: clips long video into short-form content, rates virality potential, adds captions automatically
- Cast Magic: generates show notes, tweet storms, titles, and descriptions from podcast audio
- Bard (now Gemini): produces better output than ChatGPT for many queries; Google's data advantage is significant
- WithDelphi: combines everything a creator has ever said into a queryable personal AI — early alpha stage
- HubSpot's ChatSpot: lets you query business data (e.g. average LTV) in real time instead of waiting days for a report
Where AI underperforms
- Pure AI content consistently loses to manually written content in traffic and rankings
- Ad creative and full campaign management via AI alone tanks results
- Image tools like Midjourney lack clear practical application in most marketing workflows
- AI voice cloning is close but still choppy for many queries
Where AI genuinely wins
- Tool creation: AI can draft simple calculators (e.g. A/B testing calculator) that developers then refine — these attract natural backlinks at scale
- Data synthesis for infographics: AI can pull stats and structure arguments quickly; a designer or tool like Canva finishes the job
- Automation and augmentation: most current "AI" is automating or augmenting tasks, not true artificial intelligence
The three types of AI
- Automated intelligence: rules-based task automation
- Augmented intelligence: AI assists human decision-making
- Artificial intelligence (true AI): the system thinks, responds, and acts autonomously — most current tools do not reach this level
Ranking in AI-generated answers
- AI search pulls from the same top-ranked sources as traditional search
- Backlinks, domain authority equivalents, review signals, and brand mentions all matter
- Volume of indexed content is a factor — 2,500+ podcast episodes creates significant surface area
- Shortcuts (black hat tactics) work short-term but always collapse; white hat compounds over time
The right mindset
- Test AI on real campaigns and measure results — don't form opinions from articles
- Think bigger than content creation: ad spend analytics, real-time campaign alerts, and data querying are where the value is
- Agency businesses will benefit from AI raising gross margins, which can improve exit multiples
- ChatGPT launched November 2022 — less than a year old at recording; the long-term potential is far from priced in
More like this — when you're ready for early access.
Join the waitlist for a personal account and content recommendations based on what you're working on.
No spam. Unsubscribe at any time.
You're on the list. We'll be in touch before launch.