Refresh an outdated article

Updates an existing article using its Webmaster query data and what has aged — delivering the new version as a document.

Old articles rarely lose traffic all at once — they slowly drift down as facts age and competitors update their own pages. Without impression data it's hard to know which parts of the article are actually worth strengthening first, and it's easy to rewrite a section that already works while missing the one actually holding the page back.

What it does

Given an article URL, this skill reads the full text for outdated parts (old dates, numbers, recommendations that no longer apply), then checks Yandex Webmaster data for that URL — which queries it shows for, at what positions and CTR — with a focus on queries where the page is "almost" ranking. It then delivers a full rewritten version that strengthens those topics, adds missing sections, and keeps the working structure and intent intact.

What you get

The updated article as a library document, with a 5-7 point change list at the top, plus a chat digest of what was outdated, which queries were strengthened (with current Webmaster positions), and what was added. Useful for pages older than a year or two that are quietly losing ground without an obvious technical cause.

FAQ

How is this different from plain editing?
The skill uses real impression data — which queries the page already almost ranks for — to decide what to strengthen, not just what reads as outdated.
Does it need an integration connected?
Yes, Yandex Webmaster — without it the skill can't pull the query and position data the refresh is based on.

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