Blog
Notes on search, AI answers and reputation.
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What is AI search visibility (GEO), and how do you measure it?
AI search visibility is how often, and how well, AI assistants mention your brand. Here is what it covers and how to measure it without fooling yourself.
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How AI assistants decide which brands to cite
AI assistants name brands from what their models learned and from pages they retrieve at answer time. Here is what is documented, and what you can act on.
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llms.txt and AI crawlers in robots.txt: what actually matters
Which AI crawlers to allow or block in robots.txt, what each one does, and an honest look at llms.txt: a proposal, not a requirement.
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Building a question set for your market: from tracked prompts to actions
How to build a set of AI questions that reflects real buyer demand, keep it stable enough to measure, and turn the results into concrete actions.
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The Search Console metrics that matter: clicks, impressions, CTR and position, read correctly
Clicks, impressions, CTR and average position look simple. Here is how Google actually counts them, and how to avoid the most common misreadings.
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Pages ranking 11 to 20: where the fastest SEO wins usually are
Queries where you already rank between 11 and 20 are often the cheapest gains in SEO. Here is how to find them, qualify them and act on them.
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Technical SEO audit: what to fix first, and what can wait
A crawl report can list thousands of issues. Sort them by impact, starting with what stops Google from crawling and indexing your pages.
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International SEO: markets are not languages (hreflang, x-default, URL structures)
Translating a site is not the same as serving a market. How to choose a URL structure, use hreflang and x-default correctly, and avoid common mistakes.