Will AI search have ads? How should we prepare our paid strategy for AI advertising?
Community discussion on the future of advertising in AI search. How to prepare for AI-integrated ad placements.
The question that’s keeping our team up at night:
The problem:
Google’s business model: User searches -> Google shows ads -> User clicks -> Google gets paid
AI’s model: User asks -> AI gives answer -> User is satisfied -> Where’s the ad?
What I’m trying to understand:
We spend millions on Google Ads. If AI search grows, where does that budget go?
Looking for informed speculation from people who’ve thought deeply about this.
This is THE business model question for AI search. Let me break down what we know:
Current monetization approaches:
| Platform | Current Model | Ad Strategy |
|---|---|---|
| ChatGPT | Subscription (Plus/Team/Enterprise) | Testing, no public ads yet |
| Perplexity | Subscription + Early ad testing | Sponsored questions, brand placements |
| Google AI Overviews | Integrated with Google Ads | Adapting existing ad platform |
| Microsoft Copilot | Bundled with M365 | Light ad integration |
The economic problem:
AI search is expensive to run:
Emerging ad formats:
The tension:
AI’s value is frictionless answers. Ads create friction. How do you monetize without destroying the product?
Almost certainly yes, initially.
The cost structure:
Google search ad cost: ~$1-3 CPM equivalent for the compute AI query cost: ~$5-15 per 1,000 queries for compute alone
Someone has to pay for that difference.
Likely implications:
The opportunity:
If AI ads are expensive and limited, ORGANIC AI visibility becomes proportionally more valuable.
Being cited in AI answers (free) vs paying for AI ad placement (expensive) is a significant economic difference.
Strategic implication:
Invest in organic AI visibility now. When AI advertising matures and costs become clear, you’ll be glad you built organic presence.
Media buyer perspective on preparing for AI ads:
What I’m doing now:
Tracking AI ad announcements - Following Perplexity, OpenAI, and Google AI ad product news
Testing where available - Perplexity has early ad programs; we’re in the beta
Budget scenario planning - Modeling what happens if we shift 10/20/30% of search budget to AI
Organic AI investment - Building citation-worthy content now
Early learnings from Perplexity ad testing:
My prediction:
AI advertising will mature over 2-3 years. Early adopters will learn, but scale won’t come immediately.
Budget recommendation:
For 2026: 95% traditional search, 5% AI experimentation For 2027: 85% traditional, 15% AI (adjusting based on results) Beyond: Rebalance as market matures
Don’t shift budget before there’s inventory to buy.
Brand marketing perspective:
The organic vs paid rebalancing:
In traditional search: Paid dominates consideration queries. SEO captures informational.
In AI search: Everything is organic answers. Paid is an afterthought (so far).
What this means for brand strategy:
If AI search grows and advertising is limited, organic visibility becomes the primary driver.
Being RECOMMENDED by AI is potentially more valuable than buying an ad next to the recommendation.
The trust differential:
Google Ad: “This is a paid placement” (users know) AI Citation: “This is what the AI thinks is best” (perceived as neutral)
AI recommendations carry implicit endorsement. Paid placements won’t have that same trust.
Strategic shift:
We’re moving budget from paid consideration campaigns to:
The goal: Be what AI recommends, not what AI advertises.
Startup perspective on AI advertising:
Our challenge:
We can’t compete with big brands on Google Ads (too expensive).
AI search initially seemed like a level playing field - best answer wins, not biggest budget.
Our concern:
If AI advertising develops, will we get squeezed out again?
Big brand with AI ad budget > Small brand with great content?
What we’re doing:
Racing to build organic AI visibility NOW, before advertising becomes mature.
If we establish strong citation patterns organically, we’ll have a base that doesn’t depend on ad budget.
The window:
2024-2026 might be the golden window for organic AI visibility before paid options dominate.
Similar to early SEO before paid search became essential.
Startups should capitalize on this window.
Google’s strategic position here:
Google can’t abandon advertising:
Google’s likely AI advertising approach:
The Google advantage:
Google already has:
They’ll adapt AI advertising faster than startups building from scratch.
Implication:
Google AI advertising will likely be the biggest AI ad platform initially. If you’re preparing for AI ads, start with Google’s evolving products.
My predictions for AI advertising evolution:
2026:
2027:
2028-2030:
The constant:
Organic AI visibility will always have value. Even if advertising becomes prevalent:
My advice:
Build organic AI presence now. Add AI advertising later as it matures. The organic foundation will make paid more effective anyway.
This discussion has helped me think about our strategy.
Key takeaways:
AI advertising is coming but immature - Perplexity testing, Google adapting, ChatGPT TBD
Higher costs expected - AI compute costs mean premium pricing for ads
Organic value increases - If ads are expensive and limited, organic citations are gold
Window of opportunity - 2024-2026 is the time to build organic presence before ads dominate
Google will lead - Their ad infrastructure gives them an advantage in AI ad development
Our strategy:
Near-term (2026):
Medium-term (2027-2028):
Long-term view:
Organic AI visibility is the equivalent of domain authority in traditional SEO. Building it now creates lasting advantage.
Paid AI advertising will be a complement, not a replacement for organic presence.
Thanks everyone for the thoughtful perspectives.
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