Older articles on SEO, AI search and measurement, page 2. Each one states its sources and when it was last updated.
How to mark up a founder so search engines and AI systems connect the person to the company: a ProfilePage, the Person properties Google recommends, the founder and worksFor links, and author markup that matches the visible byline.
What OpenAI publishes about getting a site into ChatGPT search: the crawler that matters, the robots.txt and CDN settings, noindex, referral tracking, and the questions its documentation leaves open. With a checklist and data from eight sites.
A practical checklist for hiring an SEO or AI-search consultant: what to ask about method, measurement, access, deliverables and claims, and the answers that should end the conversation.
Googlebot renders JavaScript in a second pass. The documented crawlers from OpenAI, Anthropic and Perplexity describe no rendering step. What that means for sites built on client-side frameworks, how to check your own pages, and what to serve in the HTML.
Which profiles belong in sameAs, when a Wikidata item is appropriate under its notability policy, how knowledge panels are created and claimed, and how to handle a brand that sits inside a parent company.
What the report counts, what an impression means here, the dimensions it has and the ones it lacks, how it differs from the main Performance report, and the three comparisons worth making every month.
Three labels, one web index. Where search engine optimization, answer engine optimization and generative engine optimization overlap, where they differ, and which one a given problem needs.
A working checklist for a technical SEO audit that covers AI crawlers as well as Googlebot: access, rendering, indexation, architecture, structured data and measurement, with the documented rule behind each check and the free tool that runs it.
A buyer's guide to pricing an SEO and AI-visibility audit: the factors that move the price, the deliverables that justify it, the questions that expose a thin one, and our own fixed price stated plainly.
The AI crawlers from OpenAI, Anthropic, Perplexity and Google do different jobs. Here is how to separate training, search and user fetches in robots.txt, with a decision table you can copy.
Search engines and AI systems describe companies from signals they can reconcile. A plain guide to Organization markup, sameAs, consistent naming and profile pages, with a checklist.
Bing and Google now report some AI visibility data, but most assistants report nothing. A repeatable prompt-sampling method fills the gap, with a worked scoring sheet and its limits stated.