Semrush and Kevin Indig just measured something that should end every “how do we rank in ChatGPT” meeting: when ChatGPT moved from minimal to high reasoning, only 25.6% of its cited sources stayed the same. Same 100 prompts. Same 20 buyer journeys. Roughly three of every four sources changed because the model thought harder.
For twenty years, search visibility worked like real estate. You bought the corner lot on Main Street, ranked third for your money keyword, and traffic walked past your window every morning. The lot stayed put. Google rezoned the neighborhood now and then, but you could plan a quarter around your address.
AI citations are weather. The same question, asked with more reasoning effort, on a different day, in a different model, surfaces different sources. You don’t own a position anymore. You have a probability of appearing, and that probability moves.
You can’t buy weather, but you can change the conditions that produce it. Two moves matter most right now. First, structured proprietary data: Search Engine Land’s companion piece argues that original data gets you noticed while structure determines whether a model can extract and cite you. Publish the numbers only you have, and format them so a machine can lift them cleanly. Second, be present where the models already look: Ahrefs pegs Reddit as the second-most-cited domain across AI platforms, behind only YouTube.
The operational shift is the part I’d push on your team this quarter. Stop reporting AI visibility as a ranking, because a ranking implies a done state. Measure citation share the way PR measures share of voice: sampled across models and reasoning modes, tracked over time, with variance expected. Budget for it like PR too. It’s a standing weather report, and someone owns the forecast.
If you’ve found a query where your citations hold steady across reasoning modes, I genuinely want to see it. Hit reply and prove me wrong.
Worth Your Time
- Please stop the AI Confidence Theater (Elena Verna): Forget the tooling gap: the riskiest AI gap in most companies is executives performing a certainty nobody has. Verna names the behavior. Forward it to whoever runs your Monday standup.
- Should AI deliverables be judged by outcomes, not effort? (Search Engine Land): If the positioning doc now takes 20 minutes instead of 20 hours, its value didn’t drop; your pricing story did. Agencies and in-house teams both need an answer ready before the client or CFO asks the question.
- How to use Reddit for SEO the right way (Ahrefs): Beyond the AI citation angle above: Ahrefs estimates Reddit pulls 727.3 million monthly SEO visits in the US, ranking #2 overall. Treat it as a channel you join with real answers, because astroturfing there burns the exact trust the models are indexing.
- Message testing on a shoestring budget (Product Marketing Alliance): AI plus real customer signals makes message testing nearly free, which removes the last excuse. Testing the message before you buy media is the cheapest CAC lever most teams still skip.
- How Gusto built a new product line with Claude Code (Lenny’s Newsletter): Gusto’s CTO describes a 5-person team shipping a full AI product line in 10 weeks. The marketing version of this story arrives next: teams that build their own internal tools will out-ship the ones waiting on a martech vendor’s roadmap.
- The $8k explainer video that won’t fix a 78% bounce rate (r/ProductMarketing): A Series A PMM is resisting a CEO convinced an animated explainer will cure a 78% homepage bounce. Bounce like that is a positioning symptom, and the message test above costs a fraction of the video. Run it first; the video can wait.
Would you bet next quarter’s pipeline on your AI citations holding steady? Tell me where I’m wrong, and what you’re seeing in your own numbers.
Wondering where your growth engine is leaking? The Growth Gap Diagnostic is where I’d start. Or just hit reply and tell me what you’re stuck on.
P.S. Curious how AI search engines see your brand? That’s what Smird is for.