Content decay

What causes content decay?#

Content decay usually has one of four causes: the page’s facts go out of date, a competitor publishes a better answer, searchers’ intent shifts toward a different kind of page, or demand for the topic falls — and each one needs a different response.

Google documents part of the mechanism. Its ranking systems guide describes “query deserves freshness” systems “designed to show fresher content for queries where it would be expected.” On time-sensitive topics an older page loses ground even when nothing on it is wrong. See content freshness.

How do you measure content decay?#

Measure content decay by comparing each page’s clicks and impressions in Google Search Console with the same period a year earlier, then checking whether position, impressions or click-through rate drove the drop — and whether the page is still cited in AI answers.

1. Compare year over year. In the Search Console Performance report, compare the last three months with the same three months a year earlier, so seasonality cancels out.
2. Sort by clicks lost, not percentage. A page down 60% from 50 clicks matters less than one down 20% from 5,000.
3. Diagnose with three columns. Falling position points to competitors or quality; falling impressions at a steady position points to demand; falling click-through rate at a steady position points to a changed results page.
4. Check the answers. Ask the page’s buyer questions in ChatGPT, Perplexity and Google AI Mode, or use prompt tracking, and record whether the page is still cited.

Does content decay affect AI citations?#

Content decay affects AI citations sharply, because most AI answer engines lean toward fresher sources: Ahrefs found ChatGPT’s citations average 458 days newer than Google’s organic results, and Perplexity removes stale content before it ranks candidates.

Each engine checks freshness its own way. Perplexity’s index stores publish and last-updated dates and prefilters “clearly non-responsive or stale content” before scoring, per its architecture write-up. Claude’s search tool hands the model each result’s page_age. Google AI Overviews are the exception in Ahrefs’ data: their citations were about as old as Google’s organic results, so classic ranking strength matters more there. The citation-age figures are correlations; the Perplexity and Claude mechanics are documented by the vendors.

How do you fix content decay?#

Fix content decay with one of three moves per page: refresh it when the topic still matters and the page can be the best answer again, consolidate it into a stronger page when it overlaps, or retire it when the demand is gone.

What a real refresh includes

• Replace dated facts — statistics, prices, screenshots, product names — and cite the new sources.
• Answer the questions that appeared since. New sub-questions are where query fan-out looks for sources, so add a section for each.
• Add something the current winners lack: a worked example, original numbers or first-hand experience. That’s information gain.
• Tighten each section’s opening so its first sentence answers the heading.
• Update the visible date and dateModified only when the content changed substantively.

Consolidate when two decaying pages cover the same question: merge them into the stronger URL and redirect the other, which also fixes keyword cannibalization. Retire a page only when it has no demand, no links and nothing worth moving.

Common mistakes with content decay#

The most common content decay mistakes are faking freshness with a new date, prioritizing by percentage lost instead of clicks lost, rewriting before diagnosing the cause, and mass-deleting old posts to make a site look fresh — which Google says won’t help.

Related terms#

• Content & relevanceContent freshnessHow recently a page was substantively created or updated, which search engines weigh for time-sensitive queries and most AI answer engines appear to weigh even more — the pages they cite are measurably newer than classic search results.Read the entry
• Content & relevanceKeyword cannibalizationWhen two or more pages on the same site target the same query and intent, splitting links and relevance so search engines rotate between them or rank neither as well as one consolidated page would.Read the entry
• MeasurementPrompt trackingThe practice of running a fixed set of buyer questions through AI assistants such as ChatGPT, Perplexity and Gemini on a schedule and recording which brands and pages each answer mentions or cites — the AI-search equivalent of rank tracking.Read the entry
• GSCMeasurementGoogle Search ConsoleGoogle’s free tool for site owners that reports how a site performs in Google Search — queries, impressions, clicks, position and indexing — and since 2026 it also reports impressions in Google’s generative AI features and lets owners opt out of them.Read the entry
• Content & relevanceInformation gainThe new information a page adds beyond what other pages on the same topic already say — original data, first-hand experience, a new angle — and it is the leading explanation for why content that rewrites the top results struggles to rank or be cited.Read the entry
• CTRMeasurementClick-through rateThe percentage of people who click a result after seeing it — clicks divided by impressions — and in search it is falling for many queries as AI Overviews and other answer features resolve the question on the results page.Read the entry