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Learn six common SEO testing mistakes and how scientific thinking can help you design better experiments, interpret results, and make more reliable decisions.
The post Test Like A Scientist: 6 Mistakes That Undermine Your SEO Experiments appeared first on Search Engine Journal.
Google Analytics now supports app conversions in its performance and attribution reports.
The post Google Analytics Adds App Conversions To Cross-Channel Reports appeared first on Search Engine Journal.
AI models are everywhere. The data you feed them isn’t. Mallory Gray of Skydeo explains why audience signals, not mention counts, decide who buys.
The post AI Agents Won’t Fix Bad Audience Data, They’ll Amplify It appeared first on Search Engine Journal.
AI Agents Won’t Fix Bad Audience Data, They’ll Amplify It via @sejournal, @gregjarboe Read More »
Block flattening can make weak AI Overview visibility look like a top ranking, so measure visits and conversions to assess search performance.
The post Search Console Uses Block Flattening For AIOs, Forget Position & Focus On Outcomes appeared first on Search Engine Journal.
AI agents find the cheapest route to any target you set. Research from MIT and Stanford shows why SEO teams need metrics agents can’t fake.
The post AI Agents Will Game Your SEO Metrics, MIT & Stanford Research Points To The Risk appeared first on Search Engine Journal.
Google Analytics supports Include data filters for hostnames, so a property can keep event data from approved domains instead of excluding spam one by one.
The post Google Analytics Adds Include Filters For Hostnames appeared first on Search Engine Journal.
Google Analytics Adds Include Filters For Hostnames via @sejournal, @MattGSouthern Read More »
A University of Washington paper estimates AI Overviews reduced search referrals to Wikipedia by about 5%, a metric Google disputes.
The post What Wikipedia Reveals About AI Overviews And Web Traffic appeared first on Search Engine Journal.
What Wikipedia Reveals About AI Overviews And Web Traffic via @sejournal, @MattGSouthern Read More »
Giving Perplexity less weight in AI search tracking can prevent distorted visibility scores without erasing useful competitive signals.
The post ChatGPT, Gemini & Claude Lead AI Visibility, Is It Time To Stop Tracking Perplexity? appeared first on Search Engine Journal.
AI visibility tools track brand mentions and citations, but marketers need outcome data to know what those movements mean and what to do next.
The post Brands Are Tracking AI Visibility, But Are They Measuring The Right Things? appeared first on Search Engine Journal.
Modeled data now fills the gaps left by signal loss, and mistaking estimates for measurements can lead to costly budget misallocation.
The post When Attribution Looks More Precise Than The Data Behind It appeared first on Search Engine Journal.
When Attribution Looks More Precise Than The Data Behind It via @sejournal, @bngsrc Read More »