nqzaiBlogTag archive
ChatGPT, Google AI Overviews, and Perplexity are changing how people find plumbers, dentists, and contractors — but the signals that get a business named in an AI answer are not the same ones that win Google's local pack. Here's what the research actually shows, and what remains unproven.
Google says schema isn't a ranking or AI-citation lever. Here's the real evidence on what structured data does — and doesn't — do for AI search visibility.
A step-by-step method for sampling Google AI Overview citations, what patterns hold up under scrutiny, and how to turn findings into a content plan.
Pages keep ranking but quietly stop getting cited in AI Overviews. Here's why citations decay, the data behind it, and how to catch it before traffic falls.
A step-by-step audit template for tracking which pages, mentions, and sources get cited across AI answer engines — and rerunning it.
A method for mapping which sources AI engines cite when competitors appear in answers — and using that map to compete on evidence, not just keywords.
A sourced, no-fluff GEO checklist — crawlability, entities, citations, structure, freshness, measurement — with a real link behind every claim.
Canonical tags tell Google which duplicate wins. AI crawlers don't confirm they even read the tag — here's what actually shapes citations.
How to track a brand across Gemini, AI Overviews, and AI Mode — and why Google-Extended, grounding, and the Knowledge Graph aren't the same lever.
