nqzaiBlogTag archive
sameAs doesn't rank pages — it tells Google and AI systems which Wikipedia page, Wikidata item, and social profiles all describe the same entity. Here's how to audit it correctly, and what it can't do for you.
Visible dates, dateModified schema, and actual content changes are three separate signals that both Google and AI answer engines check independently — and faking any one of them is a well-documented pattern Google has publicly pushed back on.
How to prepare images, video, and audio so AI search systems can actually use them as evidence — verified schema.org guidance, no invented stats.
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 data-backed look at schema.org markup and AI search: what's proven, what's marketing, and when structured data is still worth your engineering time.
Why AI search engines misquote SaaS pricing, and the structural fixes — from Offer markup to per-seat basis — that make plans unambiguous.
A standalone page hosting one study, dataset, or report gets extracted and cited by AI answer engines differently than a blog post does — here's what the actual research says about structure, schema, and what still isn't proven.
How to publish genuine review content AI answer engines can trust and cite, without crossing into the FTC's newly-enforced fake review rules.
A myth-busting guide to AEO's most-repeated claims — what Google, Ahrefs, and Bing have actually confirmed, and how to vet visibility stats yourself.
A step-by-step method for checking whether ChatGPT, Perplexity, and Google know your brand as its own entity — not a competitor or generic term.
Fragmented Organization and LocalBusiness markup — a different logo on the pricing page, a stale address in the footer schema, a sameAs link to a dead Twitter handle — quietly breaks the entity signal AI search systems use to recognize a brand. Here's how to audit it and fix it.
Large sites accumulate contradictory structured data — two Organization schemas, mismatched Product prices — as templates, plugins, and migrations pile up. Here's how to find it, why it confuses both Google and AI search systems, and how to fix it at the template level instead of page by page.
A generic "About the Author" blurb doesn't establish expertise to anyone — human or machine. Here's what a verifiable author entity page requires, backed by Google's own documentation and schema.org's Person type.
Schema markup breaks silently — a renamed field, a missing required property, a template change — and nobody notices until rich results disappear. Here's a repeatable validation workflow, the tools that actually check different things, and why passing every test still doesn't guarantee AI citation.
