https://kashiahmer.github.io/blog.html Practical guides on AI visibility, answer engine optimization and technical SEO. en 2026-10-01T09:00:00+00:00 https://kashiahmer.github.io/what-is-ai-visibility-seo-2026.html https://kashiahmer.github.io/what-is-ai-visibility-seo-2026.html 2026-09-02T09:00:00+00:00 AI visibility is how often ChatGPT, Google AI Overviews, Perplexity and Claude mention your brand in their answers. Here is how it is measured and improved. https://kashiahmer.github.io/aeo-vs-geo-vs-seo-difference.html https://kashiahmer.github.io/aeo-vs-geo-vs-seo-difference.html 2026-08-26T09:00:00+00:00 Answer Engine Optimization, Generative Engine Optimization and classic SEO are three different jobs. Here is a practical comparison and the order to do them in. https://kashiahmer.github.io/llms-txt-complete-guide-for-ai-crawlers.html https://kashiahmer.github.io/llms-txt-complete-guide-for-ai-crawlers.html 2026-08-18T09:00:00+00:00 llms.txt is a plain Markdown file at your domain root that tells AI assistants what your site contains and which pages matter. How to write one properly. https://kashiahmer.github.io/robots-txt-for-ai-crawlers-gptbot-oai-searchbot.html https://kashiahmer.github.io/robots-txt-for-ai-crawlers-gptbot-oai-searchbot.html 2026-08-11T09:00:00+00:00 Which AI crawler does what, how to allow the ones you want citations from, and how to block training without disappearing from answers. https://kashiahmer.github.io/schema-markup-for-ai-search-entity-seo.html https://kashiahmer.github.io/schema-markup-for-ai-search-entity-seo.html 2026-08-04T09:00:00+00:00 Which JSON-LD types matter for AI answers, how to connect your entity with sameAs, and the mistakes that make schema useless. https://kashiahmer.github.io/how-to-get-cited-by-ai.html https://kashiahmer.github.io/how-to-get-cited-by-ai.html 2026-07-28T09:00:00+00:00 Being mentioned by ChatGPT, Perplexity and AI Overviews is a retrieval problem plus a trust problem. Nine concrete tactics, ranked by effort. https://kashiahmer.github.io/how-to-check-if-website-appears-in-chatgpt.html https://kashiahmer.github.io/how-to-check-if-website-appears-in-chatgpt.html 2026-07-21T09:00:00+00:00 A repeatable method for measuring AI mentions: which prompts to test, how to log results, and how to read the data honestly. https://kashiahmer.github.io/why-ai-search-engines-do-not-mention-your-website.html https://kashiahmer.github.io/why-ai-search-engines-do-not-mention-your-website.html 2026-07-14T09:00:00+00:00 Eight concrete reasons a site is invisible in AI answers, each with the fix and a way to confirm the fix worked. https://kashiahmer.github.io/ai-citations-explained.html https://kashiahmer.github.io/ai-citations-explained.html 2026-07-07T09:00:00+00:00 An AI citation is a source attribution inside a generated answer. Here is how retrieval, grounding and citation selection actually work. https://kashiahmer.github.io/what-is-an-agentic-browser.html https://kashiahmer.github.io/what-is-an-agentic-browser.html 2026-06-30T09:00:00+00:00 Agentic browsers read pages, click buttons and complete tasks for users. What that means for accessibility, semantics and layout stability. https://kashiahmer.github.io/google-ai-overviews-optimization.html https://kashiahmer.github.io/google-ai-overviews-optimization.html 2026-06-23T09:00:00+00:00 AI Overviews pull from pages that already rank, but inclusion is not automatic. The structure, markup and freshness signals that increase your odds. https://kashiahmer.github.io/core-web-vitals-2026-guide.html https://kashiahmer.github.io/core-web-vitals-2026-guide.html 2026-06-16T09:00:00+00:00 A practical Core Web Vitals guide for content sites: what each metric means now, the usual causes, and fixes that keep the layout intact.