We just did this as a one off test for one month to evaluate getting mentions. We don’t do any incentivized / paid for stuff around mentions or anything other than this one time for one month for a few URLs.
I don’t disagree with your argument that incentivized mentions are arguably questionable.
AI-Generated Content Has Plateaued
* We published a new study with @axios evaluating the prevalence of AI-generated content: https://t.co/tQ0GPMoBjG
* AI-generated content grew from the launch of ChatGPT in November 2022 to nearly 50% of all content published on the internet in Q1 2025.
* However, since Q1 2025, AI-generated content has remained flat at 50% and human content 50%.
* Why?: We do not know for sure the cause of the plateau. However, since 2025, there has been increasing evidence that AI-generated content often (but not always) performs poorly in SEO and AEO. We published studies in 2024 and 2025 showing that only 14% of articles in Google Search are generated using AI, and only 7% for position 1 in Google.
* Methodology: We evaluated 55.4k articles randomly selected from Common Crawl between January 2020 and March 2026. We used 3 AI detectors (Pangram, Copyleaks, GPTZero) and show the average of all 3. We describe the methodology in detail in our study.
* AI-Detection Evaluation: We rigorously evaluated each AI detector and showed a low false positive and false negative rate (<2%). We are unable to fully evaluate AI detection for AI + human hybrid content.
* Data Source: Common Crawl maintains one of the largest publicly available web archives. It contains billions of pages and is used by researchers and developers. It is a key data source for training large language models. However, it is not necessarily representative of what real people see and is not an exhaustive snapshot of the entire internet.
* Prior Research: We previously published data as of May 2025 showing 52% rather than 50%. This difference between the two studies is due to using 3 separate AI detectors.
* Oxford: Our previous went viral on social media after Perplexity's X bot published a summary, which hallucinated and credited Oxford as the source. However, Oxford was not involved in either study.
I originally hypothesized that AI was over hyped and the size of its growth curve overstated. So, I sought to evaluate and likely disprove the prevailing narrative about the size of AI. However, what I found is that the size and trajectory of AI are *understated* and that AI is much bigger than I thought.
Study: https://t.co/4LjR9LN1LE
Key Findings
1. Monthly sessions of AI are now 56% the size of search worldwide and 34% in the US, 4x-5x larger than previous reports that only include web data.
2. AI now receives 45B monthly sessions worldwide, and 5.4B monthly sessions in the US.
3. Search-related sessions of AI (Asking prompts) are now 28% the size of search worldwide and 17% in the US.
4. AI has grown even larger across the World than in the US, with worldwide sessions 7x that of the US.
5. Search has not decreased, and neither has Google. Instead, the pie has gotten bigger. Total search-related sessions, combining search engines and search on LLMs, have increased by 26% worldwide and by 16% in the US, comparing 2025 with 2024.
6. 83% of AI usage occurs in mobile apps worldwide, and 75% in the US.
Marketers everywhere are wondering the same thing:
Is our brand appearing in AI responses?
What types of content performs?
What comes next?
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@webflow are awesome!
So nice to see them surfing the AI wave in such a brilliant fashion and well accompanied (with @ethan_graphite - where he covers the rise of answer engines, where the future of search is headed, and what you can do today to ensure answer engines cite your website.)
https://t.co/qXWTARd9wS
@tferriss 10. Having an assistant is a huge unlock, but it’s very hard to hire a good assistant + train them. More often than not, assistants create more work for you, not less. Athena is great because this is all turn key. I have one Athena assistant now. Considering hiring a second.
When @ethan_graphite and I first met 8-9 years ago, SEO was simple. Build links, target keywords, fix technical issues and you would rank. Now, search is changing faster than ever — and AEO is the next big shift.
@clearscope, we’ve always believed great content deserves to be found. But as Google and AI evolve, the rules of discovery are being rewritten.
That’s why I’m thrilled to host Ethan Smith, CEO of @graphitegrowth and one of the smartest strategists in AEO & SEO, for our next Clearscope webinar on Monday (10/27) at 2p Central Time.
Ethan has helped companies like Webflow and Robinhood dominate search—and he’s been thinking deeply about how AI and Answer Engine Optimization (AEO) will reshape the way brands earn visibility.
In this session, we’ll dig into:
🔍 What AEO actually is—and why it’s the future of SEO
⚙️ How to adapt your strategy for AI-driven search experiences
🚀 What it means to build content that actually gets discovered
If you care about where SEO is headed, this is one you don’t want to miss.
📅 Save your spot👇
AI means businesses need to learn a whole new category of SEO.
Optimizing for LLMs.
Here's how you do it ...
@ethan_l_s appeared on the podcast and discussed his thoughts on optimizing for large language models, like ChatGPT.
He talked about two things, which I found fascinating:
1. Listicle Optimization: For a product to appear on a best-of list, you'll need to ensure your product appears in as many listicles as possible on that topic. This is how LLMs will determine what should make the list.
The cool thing is this was something we started at HubSpot years back.
2. Co-Word Citation vs. Link Building: Today, you build links. For LLM optimization, you'll build co-word citations where your product appears as the next word for the keyword you're optimizing for.
We, of course, covered ways you can hack these things as well :)
Ethan has an incredible thought exercise on how affiliate networks might work to implement co-word citation for brands.
If you're concerned about AI's impact on SEO and how that effects your business, this is the episode for you. Out now on Marketing Against the Grain.
Background
Google launched a preview of their Search With Generative AI. More here: https://t.co/oPObmHoF3v
Key Take Away
I expect some traffic to move from organic results towards an AI-generated answer (much like answer box already does), but I expect SEO traffic overall to stay flat or down slightly, but not down significantly.
Deeper Analysis
A key question is how this will affect traffic to publishers. Here are my thoughts.
* Total searches on Google are likely flat or growing (Google stopped reporting on this, but it's likely that search overall is flat or growing, not decreasing)
* Generative AI in search means that part of the search result may get the answer from the Generative AI module and not the organic publisher area
* There are three places a user can click in Google search
1. Organic results
2. Ads
3. Google Products (maps, youtube, people also ask, answer box)
* Google has for many years been pushing clicks away from organic results and toward ads
* You'll see from the attached screenshot of 3 example queries that today most of the page real estate goes to ads and Google modules, not to organic results
1. Organic results (green)
2. Ads (orange)
3. Google Products (blue)
* With Google's Search With Generative AI, some clicks will inevitably move to that module and away from organic results
* However, overall, I expect this to be a more incremental change for organic results vs. a dramatic change
Shout out to @mada299@alexdbauer who created a visual similar that inspired this graphic.
Masterclass has built a $2.5B business on the back of one SEO tactic.
They use the power of "second-order questions" to drive free traffic to their site.
Here is how they do it 🧵