ai search

Google’s AI Search toggle forces a commercial choice about visibility, attribution and content use. Here’s how to make that choice responsibly.

Google and Bing now expose first-party AI search data. The real task is connecting citations and impressions to analytics, CRM outcomes, and revenue.

A User-Agent is a claim, not proof. See how to verify AI crawler traffic before it shapes reporting, robots.txt decisions, or WAF exceptions.

AI crawler rules now need separate decisions for search, RAG, and training, backed by practical testing across robots.txt, CDNs, WAFs, and CMS controls.

A practical framework for measuring AI-search visibility with fixed prompts, repeated tests, separate metrics, retained evidence, and honest reporting.

IndexNow works best when CMS workflows report updates, redirects and removals as well as new pages. Here is how to cover the full content lifecycle.

Google’s AI Search control creates a measurable publishing choice. Test visibility, traffic and leads before changing the setting across your site.

AI-assisted shopping puts more pressure on ecommerce catalog data, feeds, schema, prices, availability, and return-policy governance.

llms.txt can help AI tools read the right parts of a site, but only if it is curated, tested, and maintained like a CMS output.

Google Search is starting to book and call local businesses, which makes hours, service areas, phone routing, and landing-page accuracy part of day-to-day operations.