@hridoyreh WOW it is so impressive! I also started managing a small business website about a week ago. GSC is starting to move, but CTR is only around 1%. Any quick suggestions on what you’d check first?
@KaiCromwell This is exactly what I needed to hear. I just started working with my first small business client about a week ago, and the early GSC data is already moving, but CTR and average position are still weak.
今天在准备每周客户汇报的时候,发现一个蛮麻烦的问题
在某些特定关键词下面,AI 还是有机会触发到客户以前的旧信息。这件事其实挺危险的。
因为我们很多时候以为 GEO 只是看:
AI 有没有提到你
但今天这个 case 让我觉得,另一个问题更重要:
AI 提到你的时候,信息是不是和现状一致。如果 AI 讲的是旧资料,用户根本不会知道那是旧的。
用户只会默认:
“哦 原来这家公司是这样”
所以遇到 AI 说错品牌信息的时候,我不能只看表面结果。
更重要的是反过来查:
AI 为什么会这样理解?
是官网信息不够清楚?是 Google Business Profile 还留着旧资料?或者社媒简介没有同步?
是第三方目录网站写错?还是旧页面、旧文章、旧 citation 还在被参考?
所以 GEO 不是只做 visibility,他也包括 information cleanup。把官网、GBP、社媒、目录网站、第三方提及里的品牌信息尽量统一
这些基础资料越一致,AI 说错的机会才会越低。
In the last 6 months at @Ahrefs, we analyzed over 1 billion data points across 14 studies. Here's what we learned about AI search optimization:
1) "Best X" blog listicles are the single most prominent content format cited by AI chatbots. They make up 43.8% of all page types cited by ChatGPT specifically.
2) 67% of ChatGPT's top 1,000 citations come from sources marketers can't influence: Wikipedia (29.7%), homepages (23.8%), app stores (6.6%). Only 32.3% are influenceable content like educational pages, reviews, news, and blog posts.
3) 28.3% of ChatGPT's most-cited pages have zero Google organic visibility. These pages get cited repeatedly by ChatGPT despite not ranking in Google at all. A completely separate discovery layer.
4) ChatGPT only cites about 50% of the URLs it retrieves. It fetches dozens of pages per query but uses half as background context without attribution. This means that being retrieved and being cited are very different things.
5) Adding schema markup had zero meaningful impact on AI citations. AI Overviews actually dipped −4.6%, while AI Mode (+2.4%) and ChatGPT (+2.2%) showed changes indistinguishable from zero.
6) YouTube mentions have the highest correlation (0.737) with AI brand visibility out of all the factors we studied (including all the conventional SEO metrics like backlinks, page count, DR, etc). This held true for both Google-owned and OpenAI products.
7) AI Overviews reduce clicks to the #1 result by 58%. That’s up from 34.5% just 10 months earlier. The trend is accelerating.
8) 99.9% of AI Overviews appear on informational intent queries. Transactional, navigational, and local searches are almost entirely AIO-free. Shopping triggers AIOs just 3.2% of the time.
9) For a given search query, Google’s AI Mode and AI Overviews reach the same conclusions 86% of the time — but cite almost entirely different sources (only 13.7% citation overlap).
10) AI Overviews change every 2.15 days on average, with 70% of content differing between consecutive observations. But semantic similarity stays at 0.95. The words, sources, and entities constantly shuffle, but the actual meaning barely moves.