Does Traditional SEO Still Matter for AI Search? An Honest Answer
SEO is not one thing. The technical and authority layers matter more than ever for AI search; the position-chasing and manipulation layers matter less or negatively.
Ten Early Warning Signs Your Project Is in Trouble (Before It Becomes a Crisis)
Project failures are rarely sudden — they signal weeks or months in advance through observable patterns like schedule slippage without escalation, scope absorbed without change control, and sponsor disengagement. This post identifies ten specific early warning signs that mid-market organizations consistently miss, and the targeted interventions that work at each stage before the situation becomes a crisis.
AI Sentiment: What Engines Say About You, Not Just Whether They Cite You
Citation counts miss the bigger risk: how AI engines characterise you. How to measure AI sentiment by attribute, trace bad claims to source, and correct the record.
How to Report AI Visibility to Executives: Metrics That Survive Scrutiny
A rigorous approach to AI visibility reporting: baseline first, like-for-like re-testing, honest sample size caveats and a one-page report structure executives trust.
Stakeholder Management That Works: A Framework for Complex Multi-Stakeholder Programmes
Stakeholder management in complex programmes demands more than a power-interest matrix filed away after kickoff. This post lays out a practical framework covering dynamic stakeholder profiling, influence pathway mapping, and a resistance typology that distinguishes loss aversion, genuine scepticism, and political positioning — each requiring a different response. Includes an engagement planning template designed to produce working relationships, not just communication activities.
Prompt Volume: How to Find What People Actually Ask AI About Your Category
Nobody publishes AI prompt volume. Here is a free, systematic method for harvesting the real questions in your category, plus honest caveats about what it proves.
Topical Authority in the AI Era: How Engines Decide Who Is Credible
AI engines assess credibility per topic, not per domain. Here are the five signal groups they read and how to build authority narrow enough to actually win.
Project Portfolio Management: How to Prioritize When Everything Is Priority One
When every project is priority one, scoring models alone won’t save you — they ignore resource constraints, dependency sequencing, and the organizational politics of deprioritizing a project the CEO owns. This post lays out a complete portfolio prioritization framework for mid-market operations and strategy leaders, from strategic alignment weighting to the mechanics of running a portfolio review cadence that actually changes decisions.
Why AI Cites Reddit, Wikipedia and Forums More Often Than Your Site
AI engines favour forums and Wikipedia for structural reasons, not conspiracy. Here is the mechanism behind it and which question types your site can realistically win.
AI Visibility Audit: A Step-by-Step Checklist You Can Run Yourself
A five-section AI visibility audit checklist covering access, extraction, attribution, current citation rates and the competitive landscape you can run internally.
