How are companies optimizing for AI fan-out queries? Some marketers do a variation of this process:
1) Use a keyword you already rank for
2) Find common fan-out queries
3) Determine the most important fan-out topics
4) Optimize your page—or create new pages—for the fan-out queries
5) Measure the results
I couldn’t find a great step-by-step guide on how to optimize this process, so I wrote one...
Before folks get worked up about AI watermarking, important to note that Google doesn't seem to care all that much
In this @ahrefs study, nearly 1/2 of top-ranking URLs contained at least 20-50% AI text
The very TOP results had slightly less AI text, so consider that...
📊 After just 3 days, the #SEOFOMO State of AI Search Optimization Survey has gotten 80 answers and we can already see some interesting insights, like the activities most often reported as delivering a meaningful positive impact on AI Search visibility:
* Expanding content to better cover relevant questions, topics and intents with 38 responses (48%)
* Restructuring content to make answers and information easier to retrieve with 34 (43%)
* Improving technical crawlability and accessibility for AI Search platforms with 32 (40%)
* Structured data follows with 21 responses (26%).
Note how the most impactful activities focus on making relevant information more comprehensive, easier to retrieve and technically accessible: strong search and content foundations that can support visibility across both traditional and AI Search.
If you haven't taken the poll yet, do it now and help us build an updated, community driven picture of how AI search is being approached across the industry, it will take less than 5 minutes and you’ll get the chance to participate in a big search giveaway, including:
* @Similarweb : One 6 months access to the all-in suite: Competitive Intel, SEO & AEO & Ads.
* @semrush : One 6 months access to Semrush Pro.
* @peec_ai : One 6 months Pro license.
* @Waikay_X : One 6 months access to the Small Teams plan.
* @AlsoAsked : One 6 months access to the pro plan.
* Finchling: One 3 months access to the Essential plan.
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* @screamingfrog: One Paid SEO spider license.
* @sitebulb: One 6 months Pro license for the Desktop plan.
* @keywordinsights: One 6 months Basic subscription.
* @SERanking : One 6 months SE Ranking Core, SE Visible Basic, and Planable Basic.
* More to come!
Take it here: https://t.co/ygF6IvVNB6
The internet is dripping with AI text - Google can't avoid it
AI text isn't what's holding you back - it's AI text with no added value, no first-party data, no human perspective, no effort, or creativity
THAT'S when your AI content strategy becomes a problem, before you even started
Full @ahrefs study is worth a read: https://t.co/PpR88sguld
I built an SEO app with Claude and FIRED my entire 3-person SEO team
Because after the Claude app started doing SEO, I could no longer afford to pay the team
@uxdesignraj Excellent question. Not 100% sure, but I suspect they are simply using AI/maching learning to model predicted user click signals off of dwindling data