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Showing posts tagged “AI Citations” · 178 articles
ChatGPT citations or AI referral traffic: what each metric measures, where each one misleads, and which one a B2B team should lead with in its reporting.
A $224 test checked 7,374 keywords, 3,048 new domains and 60,000 AI answers to see whether an exact-match domain still helps you rank or get cited by AI search.
How to track AI citations for free with manual checks, Search Console, Bing Webmaster Tools, GA4 and server logs, and where each free method runs out.
Yes, AI-written blog posts can rank and get cited in AI search. What the studies show, what Google says, and why posts built on model knowledge alone miss out.
Content optimization for pages you've already published: how to pick pages from Search Console, fix intent mismatch, rewrite the top answer-first, update facts honestly, and tighten links and structure.
Content promotion for a single new article: what to do in the first 72 hours, the first week and the first month, which channels are worth the effort, and how to get links and AI citations over time.
How to correct false information about your brand in Google AI Overviews: trace the source, fix it at the root, report the answer and check that the fix sticks.
How to set a publishing cadence for AI search: how fresh cited pages are, how often to update buying pages and explainers, and how many new pages to publish.
Does schema markup raise AI citations? Google's documentation, Ahrefs' 1,885-page experiment and an independent preprint compared, with sample sizes, dates, where they disagree and what to do about it.
Website copywriting for homepages, product pages, pricing pages and about pages: how to write plain, specific copy that readers can scan, Google can rank and AI answers can quote.
Listicles still get cited by AI engines, but self-promotional best-of lists often send the recommendation to a rival. What changed in 2026 and what works now.
How to write blog introductions that keep readers and get quoted by AI answers: what reading research says, five intro formulas with before-and-after examples, and the mistakes to cut.
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