ChatGPT is opening the door to paid placements, and the marketers on Marketing Against the Grain are right to sound the alarm. The window for outsized returns is about to open. As someone who’s ridden more than a few waves—from early web monetization to crypto and social—I see a rare arbitrage forming. My take: if you move early and measure hard, this will pay off big.
Why This Matters Now
Kipp Bodnar and Kieran Flanagan laid out the core case with numbers that should make any growth leader sit up. They point out the sheer scale and the likely economics at play.
“I think this is going to be a gold rush for marketers.”
“ChatGPT has 900 million weekly active users, 6 billion monthly visits… If [it] was able to get the equivalent value per user as Google… it could be a $47 billion a year company in terms of paid ads.”
Scale matters, but intent matters more. Chat interfaces qualify demand in real time. That changes the game. Intent beats keywords, and that’s where the edge is—higher conversion, cleaner funnels, tighter spend.
The Core Argument
Kipp and Kieran make a simple claim: early adopters of new ad platforms capture abnormal returns. They’ve seen it before with Google Search and AdSense. The same playbook is coming back with smarter signals and tighter loops. They even floated early mockups showing contextual ads inside the chat and rumors of a transaction handoff that could take a cut rather than run a pure auction. That last part is speculation, but if it happens, friction from query to purchase could drop to near zero.
Two stories prove the point. One, Simon Nixon scaled a comparison business on early Google ads and turned it into a fortune. Two, Jason Calacanis built a blog network that plugged into AdSense and used that momentum to level up. The lesson is timeless: new ad rails mint new winners.
Three Early Plays I’d Pursue
The show highlighted three lanes that map well to how I’ve built media and software products. Here’s how I’d tackle them, step by step.
- Intent arbitrage inside ChatGPT: Test small budgets on high-intent prompts where buyers are already mid-journey. Expect 10–13x better conversion than classic search traffic, as noted by the HubSpot team. Rotate creative fast. Kill laggards early.
- Build micro-apps for underserved prompts: Use answer engine optimization tools to spot weak answers and ship simple apps that solve the exact ask. Buy the ad while you build the organic moat. Run a portfolio and prune ruthlessly.
- Own niche rankings and citations: Create high-signal lists and reviews in narrow verticals. Sell placements and citations that AI systems index. This is the AdSense model reimagined—only now the buyer is an AI assistant scanning the web.
Each move exploits intent. Each can be launched with modest capital. And each lets you move faster than slower incumbents who need long approvals and heavy analytics stacks.
Evidence, Risks, and What To Watch
The numbers are plain: top-five website, billions of visits, and a path to serious ad revenue. The HubSpot crew also noted that visitors who first discover a brand through AI systems convert at a much higher rate. That alone signals opportunity.
Yes, there are risks. Early rumors about model-driven transaction fees could change unit economics. Ad formats will evolve. And OpenAI will roll out carefully. But the counterargument—“wait until it’s mature”—misses how these markets work. By the time it’s tidy, the edge is gone.
There’s another upside few are talking about: ads demand analytics. As Kieran put it, targeting requires topic-level data. That means better insights into what people ask, what they consider, and what they buy. New data = better product, better creative, better offers.
My Playbook For The First 90 Days
I’m treating this like any high-variance channel launch: small bets, fast learning, tight feedback.
- Identify 10–20 buyer-intent prompts in my niches (marketing tech, creator tools, crypto education).
- Spin up lightweight landing pages and utility apps mapped to those prompts.
- Test direct response copy inside chat-style formats. Keep CTAs native to the conversation.
- Track cohort quality, not just CPA. If LTV holds, scale. If not, pivot the offer.
- Stand up two niche review sites that AI is likely to scan. Sell citations, not links.
Keep spend low at first. Scale only where intent turns into revenue. The goal isn’t traffic—it’s throughput.
Final Thought
This move was inevitable. The winners will be the teams who ship, measure, and adapt while everyone else debates policy. If you’re a marketer, entrepreneur, or founder, claim your prompts, craft your offers, and start buying intent. Don’t wait for perfect documentation. Get signal now, while the auction is quiet and the returns are loud.
Act early. Learn fast. Then press the advantage.
