llms.txt: what it is and whether you need it
What is llms.txt, does it actually work and how do you make one? An honest look at the v2 proposal and what Google does and does not do with it.
Measuring AI visibility: how to know if AI mentions your brand
How do you measure whether AI answers mention your brand? The method, the KPIs that matter, and why a single check tells you almost nothing.
You can’t measure AI visibility in revenue yet, and that’s okay
AI visibility does not show up as direct revenue. Why traffic is a poor KPI, how AI works with a delay, and what you can actually measure.
Stop inventing prompts, start with your customer’s problem
People type their problem into AI, not a keyword. Build your prompt set from real customer questions and steer on patterns, not individual rankings.
What an impression in AI Overviews really means (and what Search Console leaves out)
How Google counts impressions in AI Overviews and AI Mode (only visible links), why position and clicks work differently, and how to measure your AI visibility reliably.
Getting found by AI: how Generative Engine Optimization (GEO) works
GEO makes AI search engines like ChatGPT name your brand. How Generative Engine Optimization works and how you get cited in AI answers.
What AI Means for SEO: not the end, but a deepening
SEO is not dead, AI makes it more important. The numbers, what changes, what stays, and how to keep your visibility in both Google and AI.
How AI Mode is changing search (and what it means for your SEO)
AI Mode generates direct answers above the search results. What that means for your visibility, click behaviour and SEO, and what to do now.
Agentic AI vs. generative AI: from answering to acting
Generative AI creates content, agentic AI acts itself. What the difference is and what AI agents mean for your SEO and findability.
Query fan-out: why ranking for one keyword isn’t enough anymore
AI splits one query into many sub-questions. Why ranking for one keyword is no longer enough and how to prepare your content for it.