We’re sharing the content that worked hardest for us in 2025, to give you an idea of what might work for you in 2026.
And, naturally, we wanted to remind you of some of our best blogs 😉
Below, we’ve used Ahrefs Web Analytics to find our most-viewed articles published in 2025.
We were inspired by Amanda Natividad’s SparkToro post. Great stuff from Amanda as usual—check it out for more content ideas!
AI Overviews Reduce Clicks by 34.5% was our most-viewed article overall, driving ~96,000 visits since it was published back in April, according to Ahrefs Web Analytics.

This research tapped into our first-party data to tackle the question every SEO has been asking this year: how much traffic are AI Overviews actually stealing?
We analyzed 300,000 keywords and found that when an AI Overview appears, the top-ranking page sees 34.5% fewer clicks compared to similar queries without one.
By comparing clickthrough rates before and after Google’s AI Overview rollout, we measured the real impact: position #1 for informational keywords dropped from a 0.056 CTR to just 0.031 after AI Overviews appeared.
The data confirmed what many of us suspected—AI Overviews are significantly reducing traffic to top-ranking pages, even when those pages still hold the #1 spot.
An Analysis of AI Overview Brand Visibility Factors (75K Brands Studied) came in at number two. I wrote this piece of research to confirm, once and for all, whether PR and off-site brand mentions were the most important factor when it came to AI visibility.

It was a theory I kept hearing everywhere at the time, but I (like others, it turns out) wanted to see the cold hard data. Together with Ahrefs’ Data Scientist, Xibeijia, I analyzed 75,000 brands to assess how eleven different branded search factors correlated with AI Overview visibility—we’ve since repeated this study for ChatGPT and AI Mode.
Our biggest finding? Branded web mentions do correlate strongly (0.664) with AI Overview presence—more so than any other factor, including backlinks or domain rating.
We also found that if your brand sits in the bottom 50% of web mentions, you’re essentially invisible to AI systems.
AI Content Creation: My Process for High-Quality, SEO-Friendly Articles was our third most-viewed blog, racking up ~30K views.

My teammate Despina Gavoyannis created this practical SOP (standard operating procedure) for marketers wanting to integrate AI into their content workflows.
This guide walks through her exact process for using AI as a tool—not a replacement—for creating content that ranks.
The post covers everything from finding rankable keywords and identifying search intent, to adding original info that AI can’t generate on its own.
Despina’s SOPs have performed especially well via Google Discover traffic…

Google Discover users seem to engage deeply with practical, step-by-step SOPs that help them complete real tasks.
What Is llms.txt, and Should You Care About It?: Ryan wrote this explainer in just a couple of hours using ChatGPT. Now it’s our fourth most-viewed blog of 2025.
Not bad 😉

The post breaks down llms.txt, a proposed standard designed to help large language models understand and access structured content from websites.
While some developers are experimenting with it, no major LLM provider currently supports it as part of their crawler protocol.
Ryan’s take: It’s a solution in search of a problem.
Search engines already crawl and understand content using existing infrastructure like robots.txt and sitemap.xml—LLMs use much of the same setup.
In 2025, Ryan built a seven-part AI content process and has since created 6+ wholesale AI blogs, which, together, have driven ~63,000 views to date.
You can watch how he does it on the Ahrefs Podcast below.
It just goes to show that AI generated content really can perform well. Use Ryan’s process to tackle trending and emerging topics before your competitors do.
Google Says “Links Matter Less”—We Looked at 1,000,000 SERPs to See if It’s True: Google has been telling SEOs that links are less important than they used to be, and many in the industry have accepted this as fact.
But is it actually true?
Patrick Stox, Ahrefs’ Technical SEO expert, decided to settle the debate with data.

He analyzed the top 1 million keywords by search volume, calculating Spearman correlations between SERP rankings and 20 different SEO metrics including domain rating, backlinks, referring domains, and internal links.
And, guess what? Links still matter—a lot.
While the correlation dropped slightly since a similar 2019 study (from 0.27 to 0.21 for total backlinks), links remained one of the strongest ranking signals, especially for high-volume, competitive queries.
The research also showed that links matter even more for informational content, local queries, and branded searches.
So while Google may be hedging on the importance of links publicly, the data tells a different story.
SparkToro team, most of our top content in 2025 was research-based.
In fact, 56% of our most-viewed posts (across every channel) were research blogs.

Our top 5 articles also tended to differ slightly from source to source.
Here are our top performers across organic search, AI search, direct, and social media.
Top blogs by search traffic
Top blogs by AI traffic
Top blogs by direct traffic
Top blogs by social traffic
Final thoughts
Here’s what we learned from our top blogs of 2025…
- Test claims people are skeptical about: When official narratives don’t match what people see IRL, data-driven research will get you attention. That’s why Patrick’s research was so widely viewed—it provided hard data that challenged Google’s narrative.
- Pick debates people care about: The best research answers questions your audience is actively debating, not ones you think they should care about.
- Get in early on trending topics: Many of these posts worked because they jumped on trending topics early. Some didn’t even have search demand when we started writing about them—we just kept our ear to the ground on social media and in communities, and wrote about the topics driving discussion. Then, over time, those topics naturally gained search volume. That’s why 4 of our top 5 articles were also our most-viewed articles in search.
- Don’t be afraid of AI-assisted content: One of our top posts was whipped up in an afternoon with ChatGPT, and still pulled in huge amounts of traffic. For timely topics or straightforward explainers, AI can get you 80% of the way there—just add your edits, pepper in some original examples, and ship it.
- Give people SOPs they can steal: Not everything needs to be a data study. Step-by-step processes people can actually follow and adapt for their own work consistently perform well.
- Use data nobody else has access to: Three of our top five posts used Ahrefs’ first-party data to answer questions no one else could. If you have proprietary data or access to information that other people don’t—use it. Whether that’s customer surveys, internal sales metrics, support ticket trends, user behavior analytics, financial data, or even aggregated insights from client work—unique data gives you a competitive moat that’s impossible to replicate.
When it comes to AI, the only certainty is uncertainty. What worked in 2025 might not work in 2026. But that’s exactly why we’ll keep sharing what we learn!
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This research tapped into our first-party data to tackle the question every SEO has been asking this year: how much traffic are AI Overviews actually stealing?
We analyzed 300,000 keywords and found that when an AI Overview appears, the top-ranking page sees 34.5% fewer clicks compared to similar queries without one.
By comparing clickthrough rates before and after Google’s AI Overview rollout, we measured the real impact: position #1 for informational keywords dropped from a 0.056 CTR to just 0.031 after AI Overviews appeared.
The data confirmed what many of us suspected—AI Overviews are significantly reducing traffic to top-ranking pages, even when those pages still hold the #1 spot.
An Analysis of AI Overview Brand Visibility Factors (75K Brands Studied) came in at number two. I wrote this piece of research to confirm, once and for all, whether PR and off-site brand mentions were the most important factor when it came to AI visibility.

It was a theory I kept hearing everywhere at the time, but I (like others, it turns out) wanted to see the cold hard data. Together with Ahrefs’ Data Scientist, Xibeijia, I analyzed 75,000 brands to assess how eleven different branded search factors correlated with AI Overview visibility—we’ve since repeated this study for ChatGPT and AI Mode.
Our biggest finding? Branded web mentions do correlate strongly (0.664) with AI Overview presence—more so than any other factor, including backlinks or domain rating.
We also found that if your brand sits in the bottom 50% of web mentions, you’re essentially invisible to AI systems.
AI Content Creation: My Process for High-Quality, SEO-Friendly Articles was our third most-viewed blog, racking up ~30K views.

My teammate Despina Gavoyannis created this practical SOP (standard operating procedure) for marketers wanting to integrate AI into their content workflows.
This guide walks through her exact process for using AI as a tool—not a replacement—for creating content that ranks.
The post covers everything from finding rankable keywords and identifying search intent, to adding original info that AI can’t generate on its own.
Despina’s SOPs have performed especially well via Google Discover traffic…

Google Discover users seem to engage deeply with practical, step-by-step SOPs that help them complete real tasks.
What Is llms.txt, and Should You Care About It?: Ryan wrote this explainer in just a couple of hours using ChatGPT. Now it’s our fourth most-viewed blog of 2025.
Not bad 😉

The post breaks down llms.txt, a proposed standard designed to help large language models understand and access structured content from websites.
While some developers are experimenting with it, no major LLM provider currently supports it as part of their crawler protocol.
Ryan’s take: It’s a solution in search of a problem.
Search engines already crawl and understand content using existing infrastructure like robots.txt and sitemap.xml—LLMs use much of the same setup.
In 2025, Ryan built a seven-part AI content process and has since created 6+ wholesale AI blogs, which, together, have driven ~63,000 views to date.
You can watch how he does it on the Ahrefs Podcast below.
It just goes to show that AI generated content really can perform well. Use Ryan’s process to tackle trending and emerging topics before your competitors do.
Google Says “Links Matter Less”—We Looked at 1,000,000 SERPs to See if It’s True: Google has been telling SEOs that links are less important than they used to be, and many in the industry have accepted this as fact.
But is it actually true?
Patrick Stox, Ahrefs’ Technical SEO expert, decided to settle the debate with data.

He analyzed the top 1 million keywords by search volume, calculating Spearman correlations between SERP rankings and 20 different SEO metrics including domain rating, backlinks, referring domains, and internal links.
And, guess what? Links still matter—a lot.
While the correlation dropped slightly since a similar 2019 study (from 0.27 to 0.21 for total backlinks), links remained one of the strongest ranking signals, especially for high-volume, competitive queries.
The research also showed that links matter even more for informational content, local queries, and branded searches.
So while Google may be hedging on the importance of links publicly, the data tells a different story.
SparkToro team, most of our top content in 2025 was research-based.
In fact, 56% of our most-viewed posts (across every channel) were research blogs.

Our top 5 articles also tended to differ slightly from source to source.
Here are our top performers across organic search, AI search, direct, and social media.
Top blogs by search traffic
Top blogs by AI traffic
Top blogs by direct traffic
Top blogs by social traffic
Final thoughts
Here’s what we learned from our top blogs of 2025…
- Test claims people are skeptical about: When official narratives don’t match what people see IRL, data-driven research will get you attention. That’s why Patrick’s research was so widely viewed—it provided hard data that challenged Google’s narrative.
- Pick debates people care about: The best research answers questions your audience is actively debating, not ones you think they should care about.
- Get in early on trending topics: Many of these posts worked because they jumped on trending topics early. Some didn’t even have search demand when we started writing about them—we just kept our ear to the ground on social media and in communities, and wrote about the topics driving discussion. Then, over time, those topics naturally gained search volume. That’s why 4 of our top 5 articles were also our most-viewed articles in search.
- Don’t be afraid of AI-assisted content: One of our top posts was whipped up in an afternoon with ChatGPT, and still pulled in huge amounts of traffic. For timely topics or straightforward explainers, AI can get you 80% of the way there—just add your edits, pepper in some original examples, and ship it.
- Give people SOPs they can steal: Not everything needs to be a data study. Step-by-step processes people can actually follow and adapt for their own work consistently perform well.
- Use data nobody else has access to: Three of our top five posts used Ahrefs’ first-party data to answer questions no one else could. If you have proprietary data or access to information that other people don’t—use it. Whether that’s customer surveys, internal sales metrics, support ticket trends, user behavior analytics, financial data, or even aggregated insights from client work—unique data gives you a competitive moat that’s impossible to replicate.
When it comes to AI, the only certainty is uncertainty. What worked in 2025 might not work in 2026. But that’s exactly why we’ll keep sharing what we learn!
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It was a theory I kept hearing everywhere at the time, but I (like others, it turns out) wanted to see the cold hard data. Together with Ahrefs’ Data Scientist, Xibeijia, I analyzed 75,000 brands to assess how eleven different branded search factors correlated with AI Overview visibility—we’ve since repeated this study for ChatGPT and AI Mode.
Our biggest finding? Branded web mentions do correlate strongly (0.664) with AI Overview presence—more so than any other factor, including backlinks or domain rating.
We also found that if your brand sits in the bottom 50% of web mentions, you’re essentially invisible to AI systems.
AI Content Creation: My Process for High-Quality, SEO-Friendly Articles was our third most-viewed blog, racking up ~30K views.

My teammate Despina Gavoyannis created this practical SOP (standard operating procedure) for marketers wanting to integrate AI into their content workflows.
This guide walks through her exact process for using AI as a tool—not a replacement—for creating content that ranks.
The post covers everything from finding rankable keywords and identifying search intent, to adding original info that AI can’t generate on its own.
Despina’s SOPs have performed especially well via Google Discover traffic…

Google Discover users seem to engage deeply with practical, step-by-step SOPs that help them complete real tasks.
What Is llms.txt, and Should You Care About It?: Ryan wrote this explainer in just a couple of hours using ChatGPT. Now it’s our fourth most-viewed blog of 2025.
Not bad 😉

The post breaks down llms.txt, a proposed standard designed to help large language models understand and access structured content from websites.
While some developers are experimenting with it, no major LLM provider currently supports it as part of their crawler protocol.
Ryan’s take: It’s a solution in search of a problem.
Search engines already crawl and understand content using existing infrastructure like robots.txt and sitemap.xml—LLMs use much of the same setup.
In 2025, Ryan built a seven-part AI content process and has since created 6+ wholesale AI blogs, which, together, have driven ~63,000 views to date.
You can watch how he does it on the Ahrefs Podcast below.
It just goes to show that AI generated content really can perform well. Use Ryan’s process to tackle trending and emerging topics before your competitors do.
Google Says “Links Matter Less”—We Looked at 1,000,000 SERPs to See if It’s True: Google has been telling SEOs that links are less important than they used to be, and many in the industry have accepted this as fact.
But is it actually true?
Patrick Stox, Ahrefs’ Technical SEO expert, decided to settle the debate with data.

He analyzed the top 1 million keywords by search volume, calculating Spearman correlations between SERP rankings and 20 different SEO metrics including domain rating, backlinks, referring domains, and internal links.
And, guess what? Links still matter—a lot.
While the correlation dropped slightly since a similar 2019 study (from 0.27 to 0.21 for total backlinks), links remained one of the strongest ranking signals, especially for high-volume, competitive queries.
The research also showed that links matter even more for informational content, local queries, and branded searches.
So while Google may be hedging on the importance of links publicly, the data tells a different story.
SparkToro team, most of our top content in 2025 was research-based.
In fact, 56% of our most-viewed posts (across every channel) were research blogs.

Our top 5 articles also tended to differ slightly from source to source.
Here are our top performers across organic search, AI search, direct, and social media.
Top blogs by search traffic
Top blogs by AI traffic
Top blogs by direct traffic
Top blogs by social traffic
Final thoughts
Here’s what we learned from our top blogs of 2025…
- Test claims people are skeptical about: When official narratives don’t match what people see IRL, data-driven research will get you attention. That’s why Patrick’s research was so widely viewed—it provided hard data that challenged Google’s narrative.
- Pick debates people care about: The best research answers questions your audience is actively debating, not ones you think they should care about.
- Get in early on trending topics: Many of these posts worked because they jumped on trending topics early. Some didn’t even have search demand when we started writing about them—we just kept our ear to the ground on social media and in communities, and wrote about the topics driving discussion. Then, over time, those topics naturally gained search volume. That’s why 4 of our top 5 articles were also our most-viewed articles in search.
- Don’t be afraid of AI-assisted content: One of our top posts was whipped up in an afternoon with ChatGPT, and still pulled in huge amounts of traffic. For timely topics or straightforward explainers, AI can get you 80% of the way there—just add your edits, pepper in some original examples, and ship it.
- Give people SOPs they can steal: Not everything needs to be a data study. Step-by-step processes people can actually follow and adapt for their own work consistently perform well.
- Use data nobody else has access to: Three of our top five posts used Ahrefs’ first-party data to answer questions no one else could. If you have proprietary data or access to information that other people don’t—use it. Whether that’s customer surveys, internal sales metrics, support ticket trends, user behavior analytics, financial data, or even aggregated insights from client work—unique data gives you a competitive moat that’s impossible to replicate.
When it comes to AI, the only certainty is uncertainty. What worked in 2025 might not work in 2026. But that’s exactly why we’ll keep sharing what we learn!
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My teammate Despina Gavoyannis created this practical SOP (standard operating procedure) for marketers wanting to integrate AI into their content workflows.
This guide walks through her exact process for using AI as a tool—not a replacement—for creating content that ranks.
The post covers everything from finding rankable keywords and identifying search intent, to adding original info that AI can’t generate on its own.
Despina’s SOPs have performed especially well via Google Discover traffic…

Google Discover users seem to engage deeply with practical, step-by-step SOPs that help them complete real tasks.
What Is llms.txt, and Should You Care About It?: Ryan wrote this explainer in just a couple of hours using ChatGPT. Now it’s our fourth most-viewed blog of 2025.
Not bad 😉

The post breaks down llms.txt, a proposed standard designed to help large language models understand and access structured content from websites.
While some developers are experimenting with it, no major LLM provider currently supports it as part of their crawler protocol.
Ryan’s take: It’s a solution in search of a problem.
Search engines already crawl and understand content using existing infrastructure like robots.txt and sitemap.xml—LLMs use much of the same setup.
In 2025, Ryan built a seven-part AI content process and has since created 6+ wholesale AI blogs, which, together, have driven ~63,000 views to date.
You can watch how he does it on the Ahrefs Podcast below.
It just goes to show that AI generated content really can perform well. Use Ryan’s process to tackle trending and emerging topics before your competitors do.
Google Says “Links Matter Less”—We Looked at 1,000,000 SERPs to See if It’s True: Google has been telling SEOs that links are less important than they used to be, and many in the industry have accepted this as fact.
But is it actually true?
Patrick Stox, Ahrefs’ Technical SEO expert, decided to settle the debate with data.

He analyzed the top 1 million keywords by search volume, calculating Spearman correlations between SERP rankings and 20 different SEO metrics including domain rating, backlinks, referring domains, and internal links.
And, guess what? Links still matter—a lot.
While the correlation dropped slightly since a similar 2019 study (from 0.27 to 0.21 for total backlinks), links remained one of the strongest ranking signals, especially for high-volume, competitive queries.
The research also showed that links matter even more for informational content, local queries, and branded searches.
So while Google may be hedging on the importance of links publicly, the data tells a different story.
SparkToro team, most of our top content in 2025 was research-based.
In fact, 56% of our most-viewed posts (across every channel) were research blogs.

Our top 5 articles also tended to differ slightly from source to source.
Here are our top performers across organic search, AI search, direct, and social media.
Top blogs by search traffic
Top blogs by AI traffic
Top blogs by direct traffic
Top blogs by social traffic
Final thoughts
Here’s what we learned from our top blogs of 2025…
- Test claims people are skeptical about: When official narratives don’t match what people see IRL, data-driven research will get you attention. That’s why Patrick’s research was so widely viewed—it provided hard data that challenged Google’s narrative.
- Pick debates people care about: The best research answers questions your audience is actively debating, not ones you think they should care about.
- Get in early on trending topics: Many of these posts worked because they jumped on trending topics early. Some didn’t even have search demand when we started writing about them—we just kept our ear to the ground on social media and in communities, and wrote about the topics driving discussion. Then, over time, those topics naturally gained search volume. That’s why 4 of our top 5 articles were also our most-viewed articles in search.
- Don’t be afraid of AI-assisted content: One of our top posts was whipped up in an afternoon with ChatGPT, and still pulled in huge amounts of traffic. For timely topics or straightforward explainers, AI can get you 80% of the way there—just add your edits, pepper in some original examples, and ship it.
- Give people SOPs they can steal: Not everything needs to be a data study. Step-by-step processes people can actually follow and adapt for their own work consistently perform well.
- Use data nobody else has access to: Three of our top five posts used Ahrefs’ first-party data to answer questions no one else could. If you have proprietary data or access to information that other people don’t—use it. Whether that’s customer surveys, internal sales metrics, support ticket trends, user behavior analytics, financial data, or even aggregated insights from client work—unique data gives you a competitive moat that’s impossible to replicate.
When it comes to AI, the only certainty is uncertainty. What worked in 2025 might not work in 2026. But that’s exactly why we’ll keep sharing what we learn!
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Not bad 😉

The post breaks down llms.txt, a proposed standard designed to help large language models understand and access structured content from websites.
While some developers are experimenting with it, no major LLM provider currently supports it as part of their crawler protocol.
Ryan’s take: It’s a solution in search of a problem.
Search engines already crawl and understand content using existing infrastructure like robots.txt and sitemap.xml—LLMs use much of the same setup.
In 2025, Ryan built a seven-part AI content process and has since created 6+ wholesale AI blogs, which, together, have driven ~63,000 views to date.
You can watch how he does it on the Ahrefs Podcast below.
It just goes to show that AI generated content really can perform well. Use Ryan’s process to tackle trending and emerging topics before your competitors do.
Google Says “Links Matter Less”—We Looked at 1,000,000 SERPs to See if It’s True: Google has been telling SEOs that links are less important than they used to be, and many in the industry have accepted this as fact.
But is it actually true?
Patrick Stox, Ahrefs’ Technical SEO expert, decided to settle the debate with data.

He analyzed the top 1 million keywords by search volume, calculating Spearman correlations between SERP rankings and 20 different SEO metrics including domain rating, backlinks, referring domains, and internal links.
And, guess what? Links still matter—a lot.
While the correlation dropped slightly since a similar 2019 study (from 0.27 to 0.21 for total backlinks), links remained one of the strongest ranking signals, especially for high-volume, competitive queries.
The research also showed that links matter even more for informational content, local queries, and branded searches.
So while Google may be hedging on the importance of links publicly, the data tells a different story.
SparkToro team, most of our top content in 2025 was research-based.
In fact, 56% of our most-viewed posts (across every channel) were research blogs.

Our top 5 articles also tended to differ slightly from source to source.
Here are our top performers across organic search, AI search, direct, and social media.
Top blogs by search traffic
Top blogs by AI traffic
Top blogs by direct traffic
Top blogs by social traffic
Final thoughts
Here’s what we learned from our top blogs of 2025…
- Test claims people are skeptical about: When official narratives don’t match what people see IRL, data-driven research will get you attention. That’s why Patrick’s research was so widely viewed—it provided hard data that challenged Google’s narrative.
- Pick debates people care about: The best research answers questions your audience is actively debating, not ones you think they should care about.
- Get in early on trending topics: Many of these posts worked because they jumped on trending topics early. Some didn’t even have search demand when we started writing about them—we just kept our ear to the ground on social media and in communities, and wrote about the topics driving discussion. Then, over time, those topics naturally gained search volume. That’s why 4 of our top 5 articles were also our most-viewed articles in search.
- Don’t be afraid of AI-assisted content: One of our top posts was whipped up in an afternoon with ChatGPT, and still pulled in huge amounts of traffic. For timely topics or straightforward explainers, AI can get you 80% of the way there—just add your edits, pepper in some original examples, and ship it.
- Give people SOPs they can steal: Not everything needs to be a data study. Step-by-step processes people can actually follow and adapt for their own work consistently perform well.
- Use data nobody else has access to: Three of our top five posts used Ahrefs’ first-party data to answer questions no one else could. If you have proprietary data or access to information that other people don’t—use it. Whether that’s customer surveys, internal sales metrics, support ticket trends, user behavior analytics, financial data, or even aggregated insights from client work—unique data gives you a competitive moat that’s impossible to replicate.
When it comes to AI, the only certainty is uncertainty. What worked in 2025 might not work in 2026. But that’s exactly why we’ll keep sharing what we learn!
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But is it actually true?
Patrick Stox, Ahrefs’ Technical SEO expert, decided to settle the debate with data.

He analyzed the top 1 million keywords by search volume, calculating Spearman correlations between SERP rankings and 20 different SEO metrics including domain rating, backlinks, referring domains, and internal links.
And, guess what? Links still matter—a lot.
While the correlation dropped slightly since a similar 2019 study (from 0.27 to 0.21 for total backlinks), links remained one of the strongest ranking signals, especially for high-volume, competitive queries.
The research also showed that links matter even more for informational content, local queries, and branded searches.
So while Google may be hedging on the importance of links publicly, the data tells a different story.
SparkToro team, most of our top content in 2025 was research-based.
In fact, 56% of our most-viewed posts (across every channel) were research blogs.

Our top 5 articles also tended to differ slightly from source to source.
Here are our top performers across organic search, AI search, direct, and social media.
Top blogs by search traffic
Top blogs by AI traffic
Top blogs by direct traffic
Top blogs by social traffic
Final thoughts
Here’s what we learned from our top blogs of 2025…
- Test claims people are skeptical about: When official narratives don’t match what people see IRL, data-driven research will get you attention. That’s why Patrick’s research was so widely viewed—it provided hard data that challenged Google’s narrative.
- Pick debates people care about: The best research answers questions your audience is actively debating, not ones you think they should care about.
- Get in early on trending topics: Many of these posts worked because they jumped on trending topics early. Some didn’t even have search demand when we started writing about them—we just kept our ear to the ground on social media and in communities, and wrote about the topics driving discussion. Then, over time, those topics naturally gained search volume. That’s why 4 of our top 5 articles were also our most-viewed articles in search.
- Don’t be afraid of AI-assisted content: One of our top posts was whipped up in an afternoon with ChatGPT, and still pulled in huge amounts of traffic. For timely topics or straightforward explainers, AI can get you 80% of the way there—just add your edits, pepper in some original examples, and ship it.
- Give people SOPs they can steal: Not everything needs to be a data study. Step-by-step processes people can actually follow and adapt for their own work consistently perform well.
- Use data nobody else has access to: Three of our top five posts used Ahrefs’ first-party data to answer questions no one else could. If you have proprietary data or access to information that other people don’t—use it. Whether that’s customer surveys, internal sales metrics, support ticket trends, user behavior analytics, financial data, or even aggregated insights from client work—unique data gives you a competitive moat that’s impossible to replicate.
When it comes to AI, the only certainty is uncertainty. What worked in 2025 might not work in 2026. But that’s exactly why we’ll keep sharing what we learn!
In fact, 56% of our most-viewed posts (across every channel) were research blogs.

Our top 5 articles also tended to differ slightly from source to source.
Here are our top performers across organic search, AI search, direct, and social media.
Top blogs by search traffic
Top blogs by AI traffic
Top blogs by direct traffic
Top blogs by social traffic
Final thoughts
Here’s what we learned from our top blogs of 2025…
- Test claims people are skeptical about: When official narratives don’t match what people see IRL, data-driven research will get you attention. That’s why Patrick’s research was so widely viewed—it provided hard data that challenged Google’s narrative.
- Pick debates people care about: The best research answers questions your audience is actively debating, not ones you think they should care about.
- Get in early on trending topics: Many of these posts worked because they jumped on trending topics early. Some didn’t even have search demand when we started writing about them—we just kept our ear to the ground on social media and in communities, and wrote about the topics driving discussion. Then, over time, those topics naturally gained search volume. That’s why 4 of our top 5 articles were also our most-viewed articles in search.
- Don’t be afraid of AI-assisted content: One of our top posts was whipped up in an afternoon with ChatGPT, and still pulled in huge amounts of traffic. For timely topics or straightforward explainers, AI can get you 80% of the way there—just add your edits, pepper in some original examples, and ship it.
- Give people SOPs they can steal: Not everything needs to be a data study. Step-by-step processes people can actually follow and adapt for their own work consistently perform well.
- Use data nobody else has access to: Three of our top five posts used Ahrefs’ first-party data to answer questions no one else could. If you have proprietary data or access to information that other people don’t—use it. Whether that’s customer surveys, internal sales metrics, support ticket trends, user behavior analytics, financial data, or even aggregated insights from client work—unique data gives you a competitive moat that’s impossible to replicate.
When it comes to AI, the only certainty is uncertainty. What worked in 2025 might not work in 2026. But that’s exactly why we’ll keep sharing what we learn!
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