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Insights

Senior thinking on AI strategy, AI visibility, and AI agents.

Strategic analysis and original thinking for leaders adapting to AI as a buyer, an operating model, and a source of competitive advantage.

AI strategy and leadership

AI strategy and leadership

Executive-level thinking on AI strategy, AI roadmaps, operating models, governance, and business change.

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  1. Anthropic and Blackstone just made a $1.5bn bet. Here's what it means for mid-market B2B.

  2. Why Anthropic is gaining on Microsoft — and what it means for your AI strategy

  3. AI is your buyer, your operating model, your competitive advantage: the three shifts that confirm the race has started.

  4. Why Perplexity Computer changes what it means to run AI in your business

AI visibility and AEO

AI visibility and answer engine optimisation

Analysis of how AI changes buyer discovery, search visibility, brand recommendation, and demand generation.

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  1. AEO vs SEO vs AI visibility: what each does, what each misses, and which one matters

  2. How to get cited by Google AI Overviews before your organic traffic collapses

  3. Why is our AI-generated content hurting our rankings instead of helping?

  4. How do we map what AI models say about us — and what they're missing?

AI marketing and GTM

AI marketing and go-to-market

How AI changes marketing operations, GTM systems, demand generation, and commercial leadership.

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  1. B2B marketing audit: what it costs, how long it takes, and the AI alternative

  2. We're spending on AI content and revenue hasn't moved. Why?

  3. How the best B2B marketing teams build systems that compound

  4. Why your business needs a go-to-market strategy

AI agents and engineering

AI agents and operational workflows

Commentary on AI agents, orchestration, workflow design, and the systems behind AI-enabled engineering.

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  1. AI agent memory: why your agent forgets, and how to make sure it doesn't

  2. LangChain vs LangGraph: what each framework actually solves and when production teams need both

  3. Context engineering: why your AI agent fails when the wrong information goes in

  4. How the LLM orchestrator decides what to do — and why this is not intelligence