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.
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.
The Content Structures Large Language Models Extract Most Reliably
Which content structures large language models extract most reliably, which ones consistently fail, and the self-containment test that catches most problems.
How to Track AI Visibility Over Time Without Enterprise Software
A manual protocol for tracking AI visibility monthly: four core metrics, a frozen testing protocol, a workable spreadsheet and light automation options.
Brand Mention vs URL Citation: Two Very Different AI Visibility Metrics
Brand mentions and URL citations have different causes and different fixes. How to compute each, read the gap between them, and decide which to prioritise.
Share of Voice in AI Answers: How to Measure It Properly
How to compute share of voice in AI answers defensibly: fixed prompt sets, derived competitor sets, explicit formulas and controls for variance.
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.
Should You Block or Allow AI Crawlers? GPTBot, ClaudeBot and the Trade-Offs
A practical decision framework for AI crawler policy: what GPTBot, ClaudeBot and Google-Extended actually do, and the real cost of blocking them.
Schema Markup for AI Search: The Types That Change Citation Outcomes
Schema does not guarantee citation, but it removes ambiguity about who you are and what you claim. Here are the types that matter and how to implement them.
