AI Visibility for Small Teams: The Minimum Viable Programme
The smallest AI visibility programme that actually works for a team of five: a question list, a baseline, a dozen pages, an entity layer and a monthly check.
Content Refresh for AI Citation: Which Pages to Fix First
A triage framework for deciding which existing pages to refresh first so they get cited by AI assistants, and how to fix them without a full rewrite.
How Often Should You Re-Test AI Visibility? Setting a Monitoring Cadence
A layered monitoring cadence for AI visibility: monthly core testing, fortnightly commercial checks, quarterly deep sweeps, plus the event triggers that override all three.
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.
Answer Engine Optimization: A Practical Strategy Framework
A six-step answer engine optimization framework built on five dependent layers: access, extraction, attribution, corroboration and measurement.
How to Increase AI Visibility: A 30-Day Practical Plan
A week-by-week plan to measure, fix and grow how often AI assistants cite your business, using only your existing team and content.
Free AI Visibility Checkers: What They Measure and Where They Mislead You
Free AI visibility checkers are useful for one thing and misleading about several others. Here is what they measure, where they break, and how to use them well.
Why Your SEO Agency Can’t Fix Your AI Citation Problem
Key takeaways Google rankings and AI citation share are produced by entirely separate systems — optimising for one does not move the other. AI models surface content based on entity clarity, answer density, and presence in training corpora like Common Crawl — not Domain Authority or keyword position. RAG-based tools (Perplexity, Microsoft Copilot, ChatGPT Browse)…
