Domain-Level Link Metrics May Not Be Good Predictors of AI Search Mentions

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Going into this study, I suspected that domain-level link metrics would not be a good predictor for mentions. I was expecting Google AI Overviews to show more of a correlation since they may use some of the traditional search signals, whereas the other systems may not. For traditional search, usually the page-level metrics are more predictive of rankings than domain-level ones.

I looked at the top 50 websites mentioned in Ahrefs Brand Radar for Google AI Overviews, ChatGPT, and Perplexity. This is across ~76.7M AI Overviews, 957k ChatGPT prompts, and 953.5k Perplexity prompts for the month of June 2025.

I compared the website mentions to their Ahrefs Rank (AR) in Ahrefs. Ahrefs Rank (AR) ranks all the websites in our database in order, by the size and quality of their followed referring domains.

Sidenote.

Brand Radar isn’t just another LLM visibility monitor, we track a large amount of queries across all of these systems and you can query for any product, service, or brand and compare vs competitors. It’s more like Site Explorer than it is Rank Tracker. Plus we have the web visibility index so that you can see how you’re talked about online and the search demand index to see how popular you are in searches.

Here’s what Brand Radar looks like.

Ahrefs Brand Radar

Let’s dig in.

Perplexity shows a moderate correlation between the mentions of its most-cited domains and their Ahrefs Rank, Google AI Overviews a very weak correlation, and ChatGPT no correlation. I was expecting Google to have a stronger relationship than Perplexity, so the results surprised me.

This correlation would likely change with a larger dataset outside of just the top 50. The top 50 are all extremely well-linked and cited websites.

I’ll give the usual correlation does not equal causation disclaimer.

Here are the Spearman rank correlations for mention share vs. Ahrefs Rank across the top 50 domains in each system:

AI Assistant Spearman Rho P-Value Correlation
Google AI Overviews -0.12 0.47 Very weak
ChatGPT 0.01 0.95 No relationship
Perplexity -0.34 0.095 Weak

Google AI Overviews over-index on UGC sites like YouTube, Reddit, and Quora, as well as encyclopedic content like Wikipedia. We’ve seen this in a few other studies already.

These sites get extra weight in mentions than their link profile predicts.

Google AI Overviews underweights on social media sites like LinkedIn, Instagram, and Facebook. Another pattern we’ve seen in other studies.

We also see a similar story with ChatGPT, where they are overweight on things like Wikipedia and news sites like Reuters, exactly like we saw before.

Perplexity also shows the same biases we’ve seen. YouTube and Wikipedia are overweight, social media sites are underweight.

Final thoughts

I’m not sure this is enough of a sample size to get a good measure. We actually saw higher correlations in Google AI Overviews compared to DR when we studied 75k sites than we saw in correlations to normal Google rankings across 1 million keywords, 0.326 vs 0.131.

We’ll run a bigger study beyond the top 50, as well as look at some more page level metrics for more insights.

If you have questions, ask me on LinkedIn or X.


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Use AI to understand complex text online with Simplify, now on the Google app for iOS.

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When you’re trying to learn about something new on the web, you might come across content that uses jargon or technical concepts you’re not familiar with. Simplify, a new feature in the Google app on iOS, uses AI to make dense text on the web easier to understand — without leaving a web page.

To use Simplify, select any complex text on a web page you’re visiting in the Google app. Tap the “Simplify” icon that appears, and you’ll see a new, simpler version of the text, helping you quickly understand a new concept so you can keep reading.

Simplify features a novel prompt refinement approach developed by Google Research, and uses Gemini to make complicated text more digestible — without losing key details. In research testing, people found the simplified text to be significantly more helpful than the original complex text, and better retained the information. Learn more about these findings and Simplify with Google Research.

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The latest AI news we announced in April

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Here's our statement on this morning’s press reports about Search traffic.

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We continue to see overall query growth in Search. That includes an increase in total queries coming from Apple’s devices and platforms. More generally, as we enhance Search with new features, people are seeing that Google Search is more useful for more of their queries — and they’re accessing it for new things and in new ways, whether from browsers or the Google app, using their voice or Google Lens. We’re excited to continue this innovation and look forward to sharing more at Google I/O.

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Read our new report on how we use AI to fight scams on Search.

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Today we published a new report called “Fighting Scams on Search.”

We’re constantly investing in our spam-fighting technology, including systems to prevent online scams from showing up in your Search results. That’s because when you come to Search, we want you to trust that the results you get are relevant, helpful and safe.

Thanks to new AI-powered additions to our scam-fighting systems, we’re preventing hundreds of millions of harmful and scammy results from appearing in Search every day.

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Shop with AI Mode, use AI to buy and try clothes on yourself virtually

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I/O 2025

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At Google I/O 2025, our annual developer conference, we shared how we’re using our cutting-edge technology to build products that are intelligent and personalized — and that can take action for you.

From advancements in our Gemini 2.5 models to rolling out AI Mode to Search for everyone in the U.S., we’re bringing innovative AI to our products to make them even more helpful. Read on to find out what’s new.

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Learn in newer, deeper ways with Gemini

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Here’s how to use Google’s new “try it on” feature.

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Found the perfect outfit but you’re not quite sure how it’ll look on you? Google now lets you virtually try on garments using your own photo in four simple steps:

  • Opt in to get started: Head over to Search Labs and opt into the “try on” experiment.
  • Browse your style: When you’re shopping for shirts, pants or dresses on Google, simply tap the “try it on” icon on product listings.
  • Strike a pose: Upload a full-length photo of yourself. For best results, ensure it’s a full-body shot with good lighting and fitted clothing. Within moments, you can see how the garment will look on you.
  • Show it off: Tried it on? Save or share your look with friends — or tap to shop similar styles at your fingertips.

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