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SEO Madmanby Adam Hafez
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Do AI assistants cite fresher content than Google? Ahrefs data

Ahrefs compared the age of 16.975 million URLs cited by AI assistants against organic Google results. Here is the method, the numbers and the limits.

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Written byAdam Hafez
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Key takeaways

  • Ahrefs extracted 16.975 million cited URLs from Brand Radar across ChatGPT, Perplexity, Gemini, Copilot, AI Overviews and organic Google results.
  • URLs cited by AI assistants averaged 1,064 days old, against 1,432 days for URLs in organic Google results, which Ahrefs reports as 25.7 percent fresher.
  • AI-cited content still averaged about 2.9 years old, so assistants also lean on long-lived pages rather than only recent ones.
  • Ahrefs notes Google has warned against changing publish dates without changing page content, so date edits alone are not a tactic.
  • The study measures the age of cited URLs, not the effect of updating a page, so it shows association and not cause.

Freshness advice is usually anecdotal. Ahrefs published a large dataset that at least lets the claim be checked against something: how old are the pages that AI assistants actually cite? This write-up reports that study. SEO Madman did not run it.

What did Ahrefs measure?

Ahrefs used Brand Radar data to extract 16.975 million cited URLs from ChatGPT, Perplexity, Gemini, Copilot, Google AI Overviews and organic Google results. For each URL it measured days since publication and days since the last update, then compared averages by platform. The ai-search hub tracks related studies.

Do AI assistants cite fresher content than Google?

Yes, on average. URLs cited by AI assistants averaged 1,064 days old versus 1,432 days for organic results, a gap Ahrefs reports as 25.7 percent. The gap is uneven: Ahrefs reports ChatGPT with the strongest freshness preference and AI Overviews slightly older than organic results.

Does this mean updating dates raises citations?

No. The average cited URL is still about 2.9 years old, and the study compares ages of cited pages, not before-and-after edits. Ahrefs itself notes Google has warned against changing publish dates without changing content, and that freshness is one factor among many.

What can be acted on from this?

Treat a real content review as maintenance for pages that must stay accurate, and do not treat a date change as a ranking lever. The study supports neither a refresh schedule nor a claim about causation.

The evidence

Sample
16.975M cited URLs across 5 AI surfaces and organic Google

Hypothesis: AI assistants such as ChatGPT and Perplexity prefer to cite fresher content than traditional Google organic search results do, when freshness is measured as the age of the cited URL.

Method: Ahrefs, in a study by Ryan Law and Xibeijia Guan, extracted cited URLs from its Brand Radar data for ChatGPT, Perplexity, Gemini, Copilot, Google AI Overviews and organic Google results, then measured days since publication and days since last update for each cited URL and compared the averages across platforms against the organic baseline.

Findings

  • The average age of URLs cited by AI assistants was 1,064 days, compared with 1,432 days for URLs in organic SERPs, which Ahrefs calls 25.7 percent fresher.
  • AI assistants cite content that averages about 2.9 years old, versus about 3.9 years for traditional search results.
  • Platforms differ: Ahrefs reports ChatGPT shows the strongest freshness preference, while Google AI Overviews cite content slightly older than organic results.
  • Ahrefs cautions that freshness is one factor among many and that low-quality content updated daily will not gain a magic positive effect.

Limitations: This is an observational comparison of the age of cited URLs, not an experiment, so it cannot show that updating a page causes more citations. Age is taken from crawl and last-published fields, which can be changed without real edits. Averages hide topic mix, and Brand Radar coverage is Ahrefs' own sample. SEO Madman did not run or replicate this analysis.

About the author

Adam Hafez
Adam Hafez

Founder

Founder, UpgradIQ, Inc.

Adam Hafez works on technical SEO and search measurement: how pages get crawled, indexed, ranked and now quoted by answer engines. He founded UpgradIQ, which reads Google Search Console and GA4 to tie ranking movement back to the changes that caused it. He publishes what the data supports and states the limits of it.

  • Technical SEO
  • Search Console and GA4 measurement
  • Answer engine optimization
  • Structured data

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