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Marketing School

AI Has Introduced Product Slop

23 min episode · 2 min read

Episode

23 min

Read time

2 min

Topics

Career Growth, Startups, Fundraising & VC

AI-Generated Summary

Key Takeaways

  • Product Velocity Trap: Shipping features 100 times faster with AI creates product slop because teams justify every feature when development takes weeks, but ship everything without consideration when it takes hours. This perceived progress leads to feature bloat and system overload rather than excellence, requiring deliberate restraint despite increased capability to build rapidly.
  • AI Content Ranking Test Results: Publishing 2,000 AI-generated articles across 20 new domains achieved 71% indexing and 122,000 impressions in 36 days, but all content disappeared after three months. Six AI-assisted articles with human input on established domains maintained top 10 rankings after six months with 550,000 impressions, proving trust signals and human involvement determine long-term ranking sustainability.
  • ChatGPT Advertising Timing: ChatGPT reaches nearly one billion weekly users as advertising launches, but corporate advertisers already position themselves unlike previous platform launches. Major companies actively request ChatGPT product recommendation services, eliminating the typical six-month planning and six-month testing delay. Advertisers should allocate budgets based on profitability metrics rather than fixed amounts, scaling spending as long as campaigns remain profitable.
  • Answer Engine Optimization Adoption: Customer conversations tracked through Gong reveal AEO (Answer Engine Optimization) terminology dominates over GEO (Generative Engine Optimization) or SEO (Search Everywhere Optimization). Keyword trend analysis using Ahrefs MCP confirms both AEO and GEO experience explosive growth, indicating market consolidation around answer engine terminology for AI search optimization strategies and implementation.
  • Microsoft AEO Framework: Microsoft's October 2025 guide emphasizes AI systems fuse crawled web data, product feeds, APIs, and live website data rather than relying on single sources. Structured data formats including Q&A, lists, and schema markup enable AI parsing, with top sites experiencing 357% year-over-year increase in AI referrals reaching 1.13 billion visits by June 2025.

What It Covers

Neil Patel and Eric Siu examine how AI acceleration creates product slop, marketing slop, and engineering slop across industries. They analyze ChatGPT advertising opportunities, Microsoft's AEO guidance, AI-generated content ranking failures, and how lazy workers use AI tools to minimize effort rather than maximize output and career growth.

Key Questions Answered

  • Product Velocity Trap: Shipping features 100 times faster with AI creates product slop because teams justify every feature when development takes weeks, but ship everything without consideration when it takes hours. This perceived progress leads to feature bloat and system overload rather than excellence, requiring deliberate restraint despite increased capability to build rapidly.
  • AI Content Ranking Test Results: Publishing 2,000 AI-generated articles across 20 new domains achieved 71% indexing and 122,000 impressions in 36 days, but all content disappeared after three months. Six AI-assisted articles with human input on established domains maintained top 10 rankings after six months with 550,000 impressions, proving trust signals and human involvement determine long-term ranking sustainability.
  • ChatGPT Advertising Timing: ChatGPT reaches nearly one billion weekly users as advertising launches, but corporate advertisers already position themselves unlike previous platform launches. Major companies actively request ChatGPT product recommendation services, eliminating the typical six-month planning and six-month testing delay. Advertisers should allocate budgets based on profitability metrics rather than fixed amounts, scaling spending as long as campaigns remain profitable.
  • Answer Engine Optimization Adoption: Customer conversations tracked through Gong reveal AEO (Answer Engine Optimization) terminology dominates over GEO (Generative Engine Optimization) or SEO (Search Everywhere Optimization). Keyword trend analysis using Ahrefs MCP confirms both AEO and GEO experience explosive growth, indicating market consolidation around answer engine terminology for AI search optimization strategies and implementation.
  • Microsoft AEO Framework: Microsoft's October 2025 guide emphasizes AI systems fuse crawled web data, product feeds, APIs, and live website data rather than relying on single sources. Structured data formats including Q&A, lists, and schema markup enable AI parsing, with top sites experiencing 357% year-over-year increase in AI referrals reaching 1.13 billion visits by June 2025.

Notable Moment

Three marketers earning $100,000-$150,000 annually demonstrate using Claude Cowork to complete their jobs in 30-60 minutes daily while traveling and working less. Rather than leveraging AI to expand output and advance careers, these workers optimize for minimal effort, exemplifying how accessible AI tools enable capable but unmotivated employees to coast while creating opportunity for ambitious professionals.

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Episode Transcript

People are talking about, okay, these agent decoders, right? I think what's happening now is, and we've kind of warned against this, but there's a new phrase now. So we talk about AI slop, like content slop right now. There's product slop because it's so easy to build all these products. So when you, we can ship at a 100 times the speed, the problem now, Neil, is whatever you build into Ubersuggest or whatever, you know, you build into answer to public, there could be risk where you, you have too much features and it's too much crap and it then it inundates the entire system. So more things faster is rarely ex than a recipe for excellence. When it takes weeks to ship, you justify every feature. When it takes hours, you ship everything. Why not? It feels like progress and momentum. It's what we call perceived progress. Yeah. But it just hasn't just introduced a, product slop. It's introduced marketing slop. It's introduced engineering slop. It's introduced slop everywhere because people are doing a lot of stuff that they don't need to do. The amount of messages I get on a weekly basis of people showing me cool shit they're doing with AI, and no joke, more than nine out of 10 times, they're like, this is never gonna make anyone any money or do anything from they just created a new cool shiny thing for marketing, So talk speaking about Slop, I saw this post on LinkedIn, this guy, Mike Cornugian wrote this. So he said we published 2,000 AI generated articles across 20 new domains with zero authority to see if raw AI content could rank. Here's what happened in just thirty six days. So 71% of pages got indexed, eight sites rank for 1,000 keywords each, 122,000 impressions over 240 clicks in total. That seems very low. Five sites hit top 30 for 30% of their keywords, but here's the plot twist. All articles disappeared from search after three months. What went wrong? First, it's obvious that all the sites were brand new. No trust signals, no domain authority, nothing to make Google believe you're worth citing. Plus the content was fully AI generated with no human input or originality, No author with strong e a a t signals. How do I know that's a reason? Because we tested six AI assisted articles on our main blog. The difference, night and day. Still ranking with three in the top 10 after six months, 550,000 impressions and growing featured as sources in AI overview. So, yes, AI generated content can rank easily, but it doesn't stay there unless the content is updated and supported by enough trust signals for Google, AK SEO. Yeah. Yeah. I you you can't just spam. We've been saying this for ages. Everyone who's just creating tons of AI junk content, is it gonna do well? It needs to you need to involve a human. You need to build trust. You …

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Books, tools, and gear mentioned in this episode

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Tools

  • by Anthropic

    Three marketers earning $100,000-$150,000 annually demonstrate using Claude Cowork to complete their jobs in 30-60 minutes daily
  • by OpenAI

    They analyze ChatGPT advertising opportunities... ChatGPT reaches nearly one billion weekly users as advertising launches
  • by Ahrefs

    Keyword trend analysis using Ahrefs MCP confirms both AEO and GEO experience explosive growth
  • by Gong

    Customer conversations tracked through Gong reveal AEO (Answer Engine Optimization) terminology dominates

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