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Thoughts & Insights

All about digital marketing strategy, AI workflows, SEO, ecommerce, and what's actually working in the wild.

June 16, 2026·7 min read

The Reddit Discovery Trap: Why Brands Are Invisible Where Customers Make Decisions

Reddit is the 6th most-visited site in the US. People go there specifically to avoid branded hype. Most brands aren't there at all. That's costing them visibility where it matters.

DiscoveryCommunityMarketing Channels
June 16, 2026·7 min read

When Your AI Vendor Disappears

OpenAI discontinued Sora. Teams scrambled. Workflows broke. This is the preview of a pattern about to get much worse.

AIVendor RiskMarketing Tech
June 15, 2026·9 min read

Synthetic Fraud Evasion: Why AI Training Data Is a Legal Trap

Your AI model trained on synthetic data just became evidence of negligence. Here's why.

AIComplianceSynthetic Data
June 14, 2026·9 min read

AI Search Impact: Why Measurement Fails

Brands see 40-60% traffic uplift from answer engines. Yet 88% can't tie it to revenue. This is the year the measurement infrastructure breaks.

AI AttributionMeasurement CrisisAnswer Engines
June 14, 2026·9 min read

The Trust Paradox: Why Customer-Ready AI Is Destroying Loyalty

78% of consumers expect AI experiences. But brands are shipping confidently wrong systems. New research shows customer use of AI makes them worse at spotting corporate lies.

AICustomer ExperienceBrand Trust
June 14, 2026·8 min read

Claude Surge, ChatGPT Collapse: The AI Platform Market Is Decentralizing

ChatGPT lost 23.7 points of market share in 12 months. Claude surged 5.5x. Gemini doubled. This is how fragmented AI visibility changes everything.

AIVisibilityMarketing Measurement
June 14, 2026·9 min read

CMO AI Confidence Collapse: Spend Up 30%, Proof Down 8%

Marketers spent 30% more on AI this year. Only 41% can prove it works. The rest are guessing.

June 14, 2026·10 min read

Tokenmaxxing: Why AI Overspending Masks Architectural Failures

Companies are solving AI problems by escalating token spend instead of fixing architecture. It's cheaper, faster, and completely invisible - until the bill comes due.

June 13, 2026·8 min read

The ROI Accounting Trap: Why AI Costs Stay Visible But Benefits Don't

Uber burned $30M in four months on AI. When asked if it was worth it, the COO said 'it's very hard to draw a line' between cost and features. That's not a measurement problem-it's a fundamental accounting gap in how companies value AI.

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