@denohawari The part most people miss: GEO compounds, paid resets to zero monthly.
One citation in an AI answer keeps referring users at near zero marginal cost.
Curious what moved citations most here?
@Codie_Sanchez Makes sense. Cold email died from crowding; the mailbox emptied out, so it converts again. The lesson isn't "send letters", it's audit where your buyers' attention is undersubscribed and be early or boomerang back. I guess it's kind of like landlines ☎️
A SaaS founder posted his first-customer breakdown this morning: 6 from Google and 4 from ChatGPT. At 200 clicks a month. AI search isn't a future channel. It's 40% of his pipeline today.
Last night while you slept:
Your competitor shipped 3 comparison pages.
A Reddit thread compared you to two rivals.
Your /pricing page slipped in AI search.
Did anything on your team notice? Supercurve did and drafted the responses before you had your first coffee and avocado toast.
Generic AI output isn't a model problem. It's a context problem.
The model doesn't know your customers, your voice, or what your last 5 campaigns did. The moat isn't the model, it's what it knows about your business.
@bloggersarvesh Agreed and prompts like this get 10x better when you feed Claude your actual data first: search console exports, top pages, what converted. Same prompt on top of real context is where the millionaire-making outputs come from.
Most AI marketing tools are like below average employees. You have to chase, brief, and double-check before they do anything. Would you hire a person who only worked when prompted?
@GJarrosson Says a lot that an infra legend picked marketing as the AI problem worth solving. It's the least systematized function in every startup: no source of truth, context scattered across 6 tools, decisions made by vibes. Whoever turns it into a compounding system wins the category.
@Zephyr_hg The interesting part isn't the 40 agents, it's who decides what the 40 agents work on. Prioritization is still the human's job in this setup. The next unlock is agents that read your results and pick the next move themselves, not just execute briefs faster.
@alexgroberman The underrated finding in studies like this: citation patterns are winner-take-most. AI engines keep re-citing sources they already trust, so early coverage compounds. The gap between "we'll do GEO next quarter" and "we started in Q2" is bigger than most founders think.
Every startup's marketing calendar is a list of tactics.
Almost none of them can answer: "why this, and not the 40 other things we could do?"
Prioritization is the whole game. Execution is table stakes now.
When a marketing leader comes to us for help because their ai generated creative looks too much like their competitor's...
Of course it does. You are all using the same models, the same prompts, and the same "best practices." or "playbooks" you found on LinkedIn.
Using AI doesn't make your brand distinctive. It makes distinctiveness the only thing left to compete on.
You have to find your unique voice and context. AI can help with this but it can't be the decision maker.