More than 150 million people use GitHub. Developers created more than 230 new repositories every minute last year, and there are 4.3 million AI projects on the platform.
Most of those users are still developers. But the profile is shifting.
ChatGPT skips web search entirely on roughly 65% of queries. This means (optimized or not, indexed or not), if the model already has the answer, the content you published last Tuesday never had a shot.
The AI search optimization industry has built an entire content category around a behavior that not only happens a third of the time, but is actively declining.
You already know competitors are targeting category keywords—it’s baseline and relatively easy to monitor. What most paid search teams don’t have visibility into is who’s bidding on their brand terms.
Not their category but their name, and it happens more than you’d expect.
For the past two years, the dominant advice in B2B content marketing has been some version of: be careful with AI. Don’t let it water down your brand. Keep a strong human in the loop. Avoid the slop.
That advice made sense when it was speculative. It makes less sense now that we have data.
There’s a lot of hype around tools like n8n right now, people claiming it can replace entire teams or save thousands overnight.
Most marketing agencies think they’ve made the shift. They’ve added “AI-powered” to their website, run a few ChatGPT prompts for client deliverables, and nodded along at the last industry conference when someone said the future is now.
It’s no secret that AI is reshaping marketing agencies, but we wanted to know how.
Most agency leaders are asking the wrong questions: “How do we use AI to do our work faster?” and “Do we need fewer content writers?” The question that actually matters—the one that clients are already asking—is simpler and more brutal: “Do we need an agency at all?”
That shift is already happening.
Static data visualization is a silent engagement, productivity, and conversion killer. Marketers have been uploading data to tools like Flourish, Datawrapper, and Tableau for years—then manually formatting, exporting, and embedding the results.
It works, but it’s also slow and what took weeks to create is often lost and forgotten in a four-second scroll.
Google’s AI Overviews don’t just summarize the top result. They cite whoever answers the query best, regardless of whether that page ranks first, fifth, or not at all.
Your brand could be invisible in AI answers while your domain authority sits at 60. That’s the new reality, and most SEO dashboards won’t tell you it’s happening.
Most marketers probably don’t even know if they’re being cited or not. There’s no standard report for this. No toggle in Search Console. No widget in Semrush that shows you, clearly, how often your brand appears in AI-generated answers versus your competitors.
So we built one.
LLM hallucinations are a known issue. But as frustrating as they may be, hallucinated AI citations are just a symptom.
Every time an AI assistant invents a URL to your site—confidently, wrongly—it’s doing so because a real person asked a real question. The model expects your site to have an answer, and when it can’t find one, it fills in the blank.
That’s the gap worth paying attention to.