Publishers & Media
AI cites your content — but often gets the author, date, and context wrong.
AI systems are actively pulling from publisher content to answer questions. The attribution is frequently wrong, the article is often outdated, and the context is lost.
AITWIRE helps publishers and media organisations ensure AI systems cite their content accurately, attribute it correctly, and retrieve the current version — not an archived one.
AI Drift Monitor — Publishers & Media
AI Overview attributes your 2022 regulatory analysis — cites Reuters, not you
ChatGPT presents 2021 article as current guidance — regulation changed 2023
Perplexity cites departed editor Sarah Chen as current Editorial Director
Missing dateModified schema on 40+ evergreen articles
AI misattributes your articles to other publications
Your longform piece on a topic was the original source. AI systems cite a summary article from a larger publication that referenced you — without attribution. Your byline disappears from the AI-generated answer.
AI cites archived articles as current fact
A 2021 article you published on a regulatory topic is being cited as current guidance in AI answers. The regulation changed in 2023. AI doesn't know — it just cites the article that ranks highest.
Subscriber-only content is retrieved incorrectly
AI crawlers reach your gated content in ways your paywall doesn't catch, then summarise it inaccurately. Or they hit the paywall and mark your content as inaccessible — reducing your citation rate.
Author bios and credentials go stale
A writer left your publication. Their old author page is still indexed. AI cites them as a current contributor when answering questions about your team or editorial voice.
How AITWIRE fixes it
Article and author schema
Publish Article, NewsArticle, and Person JSON-LD with accurate bylines, publication dates, dateModified, and author credentials. AI systems that retrieve structured data attribute and date your content correctly.
Content freshness signals
AITWIRE audits your Last-Modified headers, dateModified schema, and sitemap lastmod values. Fresh content signals increase the likelihood AI systems retrieve your current version over an archived one.
AI crawler directives and access control
Configure robots.txt with explicit AI crawler directives — allow GPTBot and PerplexityBot for retrieval while blocking training crawlers (CCBot). AITWIRE audits your current directives and publishes the correct configuration.
Editorial authority signals
Publish entity.json and llms.txt declaring your publication's editorial focus, canonical topics, and author authority. AI systems that read these signals attribute content to the right publication with higher accuracy.
Content freshness monitoring
AITWIRE's drift detection monitors whether AI systems are citing your outdated articles for topics where you've published current analysis — alerting you when old content is displacing new.
FAQ schema for evergreen content
High-traffic explainer articles, guides, and reference pieces generate the most AI citations. Publishing them with FAQPage schema dramatically increases the likelihood AI cites them verbatim — with correct attribution.
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