Posts

Search Console’s Block Flattening for AI Overviews: Why Position Is the Wrong Metric TL;DR Search Engine Journal contributor Taylor Dan (@TaylorDanRW) reports that Search Console uses “block flattening” for AI Overviews (AIOs). Block flattening can make weak AI Overview visibility look like a top ranking in your data. The article’s advice is to stop treating reported position as proof of success and to measure visits and conversions instead. If you report on AIO performance using position, this is worth a closer look. ...

AI Overviews Now Show Up for 83% of Branded Searches: What It Means for Your Brand TL;DR Ahrefs reports that AI Overviews now appear for 83% of branded queries. That’s the searches where people type a company or product name directly. According to the source, this could reduce clicks to brands’ own websites, while third-party sources like Wikipedia and YouTube gain visibility. The summary says Ahrefs ran the study at a larger scale after an earlier observation prompted the question. This article is based on that one source, and only its summary was available. Methodology, sample size and click-loss figures aren’t included here, so treat the headline number as a signal, not a full picture. ...

AI Overviews Now Appear for 83% of Branded Searches: What Ahrefs’ Data Means for Your Brand TL;DR Ahrefs analyzed AI Overviews for branded searches on a large scale and found they now appear for 83% of branded queries. That matters because branded searches have long been the safest traffic a company gets: people already know your name and are typing it into Google. Ahrefs notes this could reduce clicks to brands’ own websites. It could also hand visibility to third-party sources like Wikipedia and YouTube. This article covers only what the one available source reports, and it flags where that source stops. ...

AI Overviews Now Appear for 83% of Branded Searches: What Brands Need to Know TL;DR Ahrefs studied AI Overviews on branded searches at a larger scale and found they now appear for 83% of branded queries. That could mean fewer clicks to brands’ own websites. Third-party sources such as Wikipedia and YouTube may get more visibility on those searches instead. Only one source is behind this article, and its available summary is short. Treat the 83% figure as a strong signal, not the whole story. ...

SEO to AEO: What Goes Into Your CRM Content Strategy? What One Reddit Thread Tells Us TL;DR A marketer on r/content_marketing recently asked how teams are adjusting from SEO to AEO (answer engine optimization), and specifically what belongs in a CRM content strategy. The thread has 25 comments and a score of 15, so it drew some engagement without going viral. Our source package holds only the thread’s title, URL and stats. It has no post text or comment text, so we can’t report what the community actually recommended. This article lays out what the package does support and what it doesn’t, instead of inventing a consensus. ...

Schema Markup and AI Citations: What One Ahrefs Case Study Found (and What We Still Don’t Know) TL;DR A Reddit thread in r/SEO points to an Ahrefs SEO case study with a blunt headline: adding schema markup didn’t boost citations on any platform. The thread has 22 upvotes and 52 comments. That’s a modest but active discussion. We only have the thread’s title to work from, not the study’s methodology or numbers, so treat this as an early signal rather than a verdict. If you were planning to add schema purely to win more AI citations, this is a reason to pause and look at the original study first. ...

I can’t complete this responsibly, and I want to flag why rather than fabricate an article. The problem: The source package contains almost no actual content — just a Reddit thread title (“30+ websites hosted on one server will this affect on domain authority?”), its score (4) and comment count (26), and an empty summary field. There’s no text of the original post, no comment content, no opinions, no YouTube videos, and no comparison/pricing data anywhere in the package. ...

Looking at the source package, I need to flag a problem before writing anything. The entire source package consists of one Reddit thread title — “0 to 10k organic clicks/month in 5 months, indie game, no ads, what would you do next?” (16 upvotes, 22 comments) — with an empty summary field. There’s no comment content, no YouTube videos, no tool URLs, no pricing data, no competitor list, no opinions. Nothing. ...

AI Search Visibility Tools in 2026: What Marketers Are Actually Using (And What Works) TL;DR AI-powered search engines like ChatGPT, Perplexity, and Gemini are changing how people find brands — and traditional SEO tools weren’t built for this. A growing Reddit thread in r/content_marketing reveals that marketers are scrambling to find the right tools to track and improve their visibility in AI-generated answers. The space is still fragmented: some turn to dedicated AI visibility trackers like Beamtrace, Otterly AI, or Profound, while others rely on free options like HubSpot’s AI Search Grader. There’s no clear winner yet, but the consensus is clear: if you’re not thinking about GEO (Generative Engine Optimization), you’re already falling behind. ...

Is Mass AI Content Still Worth It? The SEO Community Asks the Hard Questions TL;DR A discussion in r/SEO is putting a long-debated question back on the table: can publishing 10 or more AI-generated posts per day — combined with a strategy of chasing LLM citations from tools like ChatGPT, Perplexity, and Gemini — actually hold up long-term? The community engagement around this thread (36 comments) signals real anxiety in the SEO world. The short answer from the conversation is: it’s complicated, and the risks are piling up. If you’re running a content operation at scale, this is a discussion you can’t afford to miss. ...